CDM-MR-FORM

Monitoring report form for CDM project activity (Version 06.0)

Complete this form in accordance with the instructions attached at the end of this form.

MONITORING REPORT

Title of the project activity EcoMakala Virunga Energy project

GS reference number of the project GS5391 activity

Version number of the PDD Version 2.2 applicable to this monitoring report Date: 24/01/2018

Version number of this monitoring 4.0 report

Completion date of this monitoring 08/03/2019 report

Monitoring period number 1

Duration of this monitoring period 01/09/2017 to 31/05/2018

Monitoring report number for this N/A monitoring report

WWF, DRC (private entity) Project participants CO2logic, Belgium (private entity)

Host Party The Democratic Republic of Congo

TPDDTEC: Scope 03 (Energy demand) Sectoral scopes AMS-III.BG: Scope 04 (Manufacturing Industries, Energy Efficiency)

Gold Standard Methodology: Technologies and practices to displace decentralized thermal energy consumption Applied methodologies and (TPDDTEC), Version 2.0 standardized baselines AMS-III.BG: Emission reduction through sustainable charcoal production and consumption1, Version 3.0 Amount of GHG emission reductions Amount achieved Amount achieved or net anthropogenic GHG removals before 1 January 2013 from 1 January 2013 achieved by the project activity in Total: 3,745tCO2e this monitoring period Not applicable 2017: 758 tCO2e

1 The combination of TPDDTEC (large-scale) and AMS-III.BG (small-scale) has been accepted by the GS Secretariat (see Email exchange: ‘Ecomakala project - AMS-III.BG together with TPDDTEC_1’, ‘Re_ Ecomakala project - AMS-III.BG together with TPDDTEC_2’)

Version 06.0 Page 1 of 54 CDM-MR-FORM 2018: 2,987 tCO2e

Amount of GHG emission reductions or net anthropogenic GHG removals 13,751 tCO2e2 estimated ex ante for this monitoring period in the PDD

2 The ex-ante ER for 2018 has not been taken into account for the whole year of 2018 (31,156 tCO2e), but only for 5 months (12,981 tCO2e), since the monitoring period ends on 31/05/2018. The 13,751 tCO2e has been calculated as sum of 770 tCO2 (ERs in 2017) and 12,981 tCO2e (ER 2018 for 5 months).

Version 06.0 Page 2 of 54 CDM-MR-FORM SECTION A. Description of project activity

A.1. General description of project activity Since more than two decades, the World Wide Fund for Nature (WWF) promotes various activities in in order to protect the Virunga Natural Park (ViNP) and alleviate poverty of the surrounding communities. One of these activities, and probably the most important, is the EcoMakala3 project, which consist in the improvement of the charcoal sector. For this, three main activities are being implemented: (i) Reforestation with fast growing species, (ii) displacement of non- renewable biomass used for charcoal production in unimproved traditional kilns by renewable biomass used in improved (more efficient) kilns with end-users of sustainably produced charcoal being households, SMEs or a group of households served by a charcoal market (e.g. charcoal consuming urban areas) 4 , (iii) production and dissemination of improved cookstoves (ICS) to households5 6. The EcoMakala Virunga Energy project concerns the last two activities, under the energy scope. The first activity (EcoMakala Virunga Reforestation project) is being certified as a GS LUF VER project. The project activity contributes to the sustainable development of energy wood supply of the populations in the North Kivu, mainly in the Southwest and Northwest periphery of the ViNP, in the Democratic Republic of the Congo. The project’s beneficiaries are thus the participating farmer- planters, the charcoal makers’ cooperatives and the households of , and . Last but not least, the charcoal provided by a legal source can be seen as the quantity of avoided deforestation within the park. The project’s objective is thus the improvement of the socio-economic and environmental conditions (through avoided deforestation and degradation of the ViNP and biodiversity preservation) besides mitigating GHG emissions. The following table illustrates some of the environmental and socio-economic benefits7 of the project:

Environmental benefits Biodiversity The deforestation of the Virunga park is reduced by the supply of alternative wood energy from plantations outside the park Air quality Improved cookstoves result in a cleaner burning of the charcoal and reduce fuel consumption, hence improving indoor air quality. Socio-economic benefits Employment The project involves several thousands of peasants, providing them a new source of income through the sale of wood for charcoal production. Further, employment is generated in the context of the production and sale of improved cookstoves. This involves artisans, salespeople and accountants. Access to End-users get access to charcoal which comes from a legal source, hence affordable do not rely anymore on unsustainably and illegally sourced charcoal. and clean Improved cookstoves provide clean energy services. energy services Technology More efficient charcoal production technology as well as improved Transfer cookstoves may result in spill-over effects outside of the project boundary.

The project activity is a standalone activity and is not a CPA of a PoA or a CPA that has been excluded from a registered PoA as a result of erroneous inclusion of CPAs.

3 The word ‘makala’ comes from Swahili language and means ‘charcoal’. ‘Ecomakala’ refers to the charcoal which is produced from renewable biomass coming from dedicated plantations. 4 This activity is further on in the MR referred to as ‘sustainable charcoal production/consumption component’ 5 The project activity may accomodate institutions as target group later on as allowed by the applied methodology TPDDTEC. A design change request would be submitted to GS in this case. 6 This activity is further on in the MR referred to as ‘Improved cookstove component’ 7 The list of SD benefits is not exhaustive. For more details to the SD impacts, see section D.2 of the MR.

Version 06.0 Page 3 of 54 CDM-MR-FORM A.2. Location of project activity Host party: Democratic Republic of the Congo, GPS coordinates: -4°02'0.66" S 21°45'0.22" E (see http://latitude.to/map/cd/congo-democratic-republic)

Province: North Kivu province, GPS coordinates: 0°40'0.01" N 28°45'0.00" E (see http://latitude.to/map/cd/congo-democratic-republic/regions/north-kivu/north-kivu)

Territories/Cities: Five territories: Masisi, , Nyiragongo, Lubero, Beni Three cities: Goma (GPS coordinates: -1°40'26.72" S 29°13'42.42" E, see http://latitude.to/map/cd/congo- democratic-republic/regions/north-kivu/north-kivu/cities/goma) Butembo (GPS coordinates: 0°08'29.90" N 29°17'28.21" E, see http://latitude.to/map/cd/congo- democratic-republic/regions/north-kivu/north-kivu/cities/butembo) Beni (GPS coordinates: 0°29'28.07" N 29°28'23.02" E, see http://latitude.to/map/cd/congo- democratic-republic/regions/north-kivu/north-kivu/cities/beni

Project boundary: a) The project boundary for the charcoal production/consumption component (AMS-III.BG methodology, page 6) includes the physical, geographical site of -the use of biomass -the carbonization units included in the project -the areas for storage, processing, bagging and weighting of inputs (biomass) and outputs (charcoal) -the use of charcoal or charcoal products Hence the project boundary consists of all eligible dedicated plantations under the GS A/R project ‘EcoMakala Virunga Reforestation project’ and biomass coming from those plantations, the improved (efficient) charcoal production kilns implemented by the project activity, the area where biomass and outputs are stored, processed, bagged and weighted as well as all households, SMEs or a group of households served by a charcoal market (e.g. charcoal consuming urban areas).

b) The project boundary for the improved cookstove component (TPDDTEC methodology, page 5) is the physical, geographical sites of the project technologies. Thus, the project boundary includes all individual households, which receive an ICS.

Target area: a) The sustainable charcoal production/consumption component targets the installation and operation of new and efficient charcoal production facilities and consumers of sustainably produced charcoal (households, SMEs and group of households served by a charcoal market (e.g. charcoal consuming urban areas) in five territories of North Kivu, namely Masisi, Rutshuru, Nyiragongo, Lubero, Beni including the three cities of Goma, Beni and Butembo.

b) The improved cookstove component targets end-users in the ‘communes’/’quartiers’ mentioned in the following table and located in the cities of Goma, Beni and Butembo.

Version 06.0 Page 4 of 54 CDM-MR-FORM City of Goma City of Beni City of Butembo COMMUNE QUARTIER COMMUNE QUARTIER COMMUNE QUARTIER BUJOVU MABOLIO MUTIRI KAHEMBE CITE BELGE KIMBULU KASIKA KANZULINZULI MUKUNA KATOYI RESIDENTIEL RUGHENDA MABANGA BEU BENENGULE KALEMIRE NORD MALEPE COMMERCIAL MABANGA SUD BUTANUKA BIONDI MAJENGO BIAUTU LUMUMBA MIKENO RWENZORI KASABINYOLE BWINYOLE MUGUNGA PAIDA VUTETSE MURARA BOIKENE VUNGI NDOSHO MABAKANGA KITULU VIRUNGA MULEKERA MATONGE MATANDA GOMA LAC VERT TAMENDE KATWA HIMBI NGONGOLIO KAMBALI MAPENDO MASIANI CONGO YA SIKA KATINDO KALINDA LES VOLCANS BUTSILI KESHERO

The project may target other provinces (like e.g. South Kivu) apart from North Kivu in the future. In case that other provinces and/or cities (like e.g. Bukavu) are added in future, the PP would submit a Request for Design Change to the GS Foundation.

Fuel production and collection area a) The sustainable charcoal production/consumption component involves the production of renewable charcoal. The biomass for that renewable charcoal production is sourced from dedicated plantations located in the five territories of Masisi, Rutshuru, Nyiragongo, Lubero, Beni in the province of North-Kivu and outside of the Virunga National Park. The fuel production and collection area comprises of all plantations eligible under the GS LUF VER project ‘EcoMakala Virunga Reforestation project’. Please see the intervention zone (zone d’intervention) (see figure 3) where the eligible plantations are located.

b) The improved cookstove component involves the introduction of improved charcoal cookstoves (ICS). The charcoal used in these ICS has most likely been produced in North Kivu from biomass sourced from any of the territories in North Kivu, however might come from other provinces in DRC or even from the border regions from neighbouring countries (Rwanda, Uganda) too8. The charcoal used in the project ICS does not have to necessarily come from dedicated plantations established through the WWF project, nevertheless WWF recommends end-users to use ‘EcoMakala’9, the charcoal produced from biomass coming from dedicated plantations.

8 It is most likely that the charcoal comes from North Kivu due to shorter distances and hence less involved transport costs to reach the final end-users. 9 See the leaflet (‘depliant’) handed out to each end-user when buying the ICS which recommends the use of ‘EcoMakala’.

Version 06.0 Page 5 of 54 CDM-MR-FORM

Figure 1: Provinces of DRC

Figure 2: Territories of North Kivu

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Figure 3: Intervention zone of the LUF VER project ‘EcoMakala Virunga Reforestation project’

A.3. Parties and project participants Indicate if the Party involved Parties involved Project participants wishes to be considered as project participant (Yes/No) The Democratic Republic of WWF, DRC (private entity) No10 Congo (host)

Belgium CO2logic, Belgium (private entity) No

A.4. Reference to applied methodologies and standardized baselines

Gold standard Methodology: Technologies and Practices to Displace Decentralized Thermal Energy Consumption (TPDDTEC), Version 2.0.

Note: TPDDEC is applied for the improved cookstove component.

CDM methodology: AMS-III.BG: Emission reduction through sustainable charcoal production and consumption, Version 3.0 along with the following tools: -Tool ‘Project and leakage emissions from biomass’, version 03.0, EB92, Annex 6

10 The Democratic Republic of Congo may wish to be considered as project participant later on.

Version 06.0 Page 7 of 54 CDM-MR-FORM -Tool ‘Baseline, project and/or leakage emissions from electricity consumption and monitoring of electricity generation’, version 02.0, EB87, Annex 8 -‘Tool to calculate project or leakage CO2 emissions from fossil fuel combustion’, version 02, EB41, Annex 11 -Tool on the demonstration of additionality of small-scale project activities, version 11.0, EB94, Annex 11

Note: AMS-III.BG is applied for the sustainable charcoal production/consumption component.

A.5. Crediting period type and duration Type: Renewable crediting period Start and end date: 01/09/2017 to 31/08/2024 Length: 7 years (renewable twice, so total crediting period up to 21 years)

SECTION B. Implementation of project activity

B.1. Description of implemented project activity In terms of ICS, 2,721 ICS eligible11 under the carbon project activity have been sold during the monitoring period12. Those ICS have been sold in Goma only. ICS sales in Beni and Butembo were insignificant, hence will not be taken into account for carbon crediting under this monitoring period. Three different types of portable ICS stoves (Jiko Nguvu Nyeusi, Jiko Goma Stove and Jiko Harkisha) with the specifications as indicated in the PDD (section A.3.2) have been sold during the monitoring period (MP). The models Jiko Nguvu Nyeusi and Jiko Goma Stove shows the best sales figures (both 48% of sold stoves), whereas the Jiko Harkisha model has only been sold in minor quantities (4%). During the month of February 2018 sales figures were significantly higher than during the other months due to sales promotion and a price discount of 20% during that month.

Photo : Jiko Goma Stove in usage Photo : Jiko Nguvu Nyeusi in usage

In terms of sustainable charcoal production, 48.745 ton will be accounted for in this MP13. Only charcoal produced with biomass coming from eligible plantations in using improved technology and improved stacking procedures will claim carbon credits (section A.3.1). Sustainably produced charcoal coming from other territories is insignificant for this MP, hence is not been taken into account. During this MP only sustainable charcoal production valorised through the cooperatives

11 Sale of improved stoves began in 2009 and by end of 2016, around 70,000 improved cookstoves have been sold to households in North Kivu, in particular in the cities of Goma and Beni. Though carbon revenues have been seriously taken into consideration prior to the project start date (July 2009), PP decided not to claim carbon credits for the previously disseminated stoves since those stoves have been sold without unique identification numbers (serial numbers) and the leaflet explaining the use of the ICS and handed out to the households did not contain the carbon waiver, i.e. end-users agreement to transfer all rights on the carbon credits to the PP. 12 See document « GS5391_Sales records ICS_Goma_MP1_201709-201805 » 13 See document « GS5391_Production_Sales EcoMakala_MP1 »: the total registered quantity of produced sustainable charcoal is adjusted with a correction factor of 5% for conservativeness.

Version 06.0 Page 8 of 54 CDM-MR-FORM COPROMA, CACOPROB and COCOPROBBA, all being located within Masisi territory, will be considered. As from the following MP sustainable charcoal production as well coming from other territories and that is provided directly from the growers to Gomastove without passing through the cooperatives will also be accounted for carbon credits.

Photo : improved stacking of wood in order Photo : usage of chimneys and vents to avoid empty spaces between the logs creates a forced air circulation for proper combustion

B.2. Post-registration changes

B.2.1. Temporary deviations from the registered monitoring plan, applied methodologies or standardized baselines Not applicable

B.2.2. Corrections Not applicable

B.2.3. Changes to the start date of the crediting period Not applicable

B.2.4. Inclusion of monitoring plan Not applicable

B.2.5. Permanent changes to the registered monitoring plan, or permanent deviation of monitoring from the applied methodologies, standardized baselines, or other applied standards or tools Not applicable

B.2.6. Changes to project design In regard to sustainable charcoal production and the use of improved technology, the project developer would like to clarify that the improved carbonization procedures do not necessarily include the use of a chimney (as maybe misleadingly explained in the PDD), in particular for very remote areas to which the transport of a chimney is not feasible. The chimney may be replaced by a few openings to the top of the kiln which have been made by round wood pieces having been introduced when preparing the kiln and later on removed when firing the kiln. These ‘semi-improved’ kilns use vents in the same way as the kilns using a chimney, hence still require a significant financial investment. Further, charcoal makers apply improved stacking procedures in the same way as for kilns with a chimney. Hence, the project developer deems to be justifiable to claim carbon credits for the semi-improved kilns using wood from eligible plantations, too.

Version 06.0 Page 9 of 54 CDM-MR-FORM SECTION C. Description of monitoring system

Sustainable charcoal production/consumption component

In terms of the parameter QCCP,i,y (Produced quantity of charcoal product i in year y), direct measurements (by using scales14) of the charcoal weight have been conducted The cooperatives maintain a database in which they record information related to grower and charcoal producer related data, date of acceptance, quantity of charcoal accepted, information about whether grower is member of association and cooperative, sourced from which type of plantation, type of carbonization technology used, etc15. In a similar way as for the charcoal acceptance, cooperatives are responsible for recording certain information when selling the charcoal to end- consumers, distributors and depot (e.g. Goma Stove). This information includes amongst others date of sale, buyers’ related data, quantity sold, information about whether a contract between cooperative and buyer exists, sourced from which type of plantation etc. Different types of contracts confirming the transfer of carbon credit ownership to the PP are signed and available for consultation: (i) contract between grower and charcoal producer; (ii) contract between grower and cooperative; (iii) contract between cooperative and distributor; and (iv) contract between cooperative and large end-consumer. For smaller quantities receipt notes are used confirming the transfer of carbon credit ownership to the PP. During this MP 268 t of charcoal production has been registered through the cooperatives in Masisi territory. Only 52 t of charcoal production is sourced from eligible plantations. For the remaining 216 t of charcoal production 152 t is sourced from non-eligible plantations, whereas for 64 t the source of the plantation is not known. When considering the type of carbonization technology, 257 t is produced through the improved carbonization technology and 10 t through semi-improved carbonization technology whereas 1 t (uprounded figure) through the traditional technology. Reasons for still using the traditional technology, is the difficulty to transport the necessary equipment to locations hard to reach. When considering the sustainable produced charcoal for which carbon credits can be claimed (i.e. sourced from eligible plantations and produced with the improved and semi-improved carbonization technology), the registered quantity is 51.311 t in the territory of Masisi. The registered quantity is adjusted with 5% for conservativeness as mechanical spring scales are used16. The final quantity of sustainable charcoal production for which carbon credits will be claimed is 48.745 t. The eligible produced quantities of charcoal from eligible plantations and produced with improved carbonization technology has cross-checked with the quantities sold to end-consumers and distributors. The ‘eligible fraction’ of charcoal sold has been calculated based on the registered figures of sold charcoal coming from eligible plantations and fraction of charcoal production with improved carbonization technology. The eligible fraction of charcoal sold during this MP is higher than the eligible produced charcoal. Production and sales data is collected by the cooperatives through smartphones using ODK software and also in registration books. Data are automatically transferred to the cloud when connection is available. Cooperatives have been trained by the data manager of the project on several occasions17. The data manager conducts data quality checks in order to guarantee consistency in the data. A survey with 100 randomly selected growers (planters) has been conducted in order to check on the following parameters for any potential project and leakage emissions from biomass: • qN,y: Rate of nitrogen applied, in year y NB: in the case that the default conservative value of 0.20 t N/ha per year will be used, no sampling survey would be conducted for this parameter;

14 Model of scale is ” Nops 100kg Spring Hanging scale (ZY-006)”: see document « Product description Scale Nops ZY- 006 » 15 See document « GS5391_Production_Sales EcoMakala_MP1 » 16 See document « Rapport Callibrage de Balance Masisi_20180927 » 17 See document « 20180320_Rapport de la formation ODK »

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• AFTM,y: Area of land subjected to soil fertilization and management, in year y • qSA,I,y: Rate of application of soil amendment agent type i, in year y • ASA,i,y: Area of land in which soil amendment agent type i is applied, in year y • QFF,i,y: Quantity of fossil fuel of type i consumed in year y • QEL,y: Quantity of electricity consumed in year y • Land use: Service level of the project land use • AFR,i,y: Area of statum i of land subjected to fire in year y • bi: Fuel biomass consumption per hectare in stratum i of land subjected to fire NB: in the case that the default values as per Table 3A.1.4 of the Good Practice Guidance for Land Use, Land-Use Change and Forestry (IPCC-GPG-LULUCF 2003) will be applied, no sampling survey would be conducted for this parameter; • Ri: Root-shoot ratio (i.e. ratio of below-ground biomass to above-ground biomass) for stratum i of land subjected to fire NB: in the case that the default values as per Table 4.4 of the Good Practice Guidance for Land Use, Land-Use Change and Forestry (IPCC-GPG-LULUCF 2003) will be applied, no sampling survey would be conducted for this parameter; As confirmed by the survey18, growers don’t use any synthetic fertilizers, organic manure or return of residues or cover crops fixing nitrogen on their plantations. The same can be said from products for soil amendment (by liming, application of dolomite, urea or other carbon containing agent. In addition, no fossil fuel or electricity is used for any activities during the exploitation of the plantation. Finally the survey confirms the absence of shift of pre-project activities and the fact that biomass being part of the plantation is not burned during the exploitation (e.g. burning the remaining biomass after harvesting the trees). The impact of the survey on the abovementioned parameters is described in section D.2.

Improved cookstove component All ICS sales will be recorded through smartphones or in exceptional cases through paper records (if smartphones are not available). Smartphones use ODK software or any other appropriate software tool and capture all required data related to sale, ICS and end-users to the largest extent possible19. Data are automatically transferred to a centralized database whenever the vendor is online. See in the following the preliminary data entry form for ICS sales which includes the following information: • Sales date • Name of the vendor • Location of sale • End-user related data (name, phone number, address) • Name/model of the ICS • Quantity of ICS sold • Serial number of the ICS • Mode of use: domestic or commercial • Price of ICS During this MP 2,721 ICS have been sold through direct sales, which corresponds to an average monthly sales volume of around 300 ICS. Sales through other distribution channels than direct sales have not been recorded during this MP. It is assumed that all ICS are in usage 1 week after sales date and hence will generate credits. The models Jiko Nguvu Nyeusi and Jiko Goma Stove shows the best sales figures (both 48% of sold stoves), whereas the Jiko Harkisha model has only been sold in minor quantities (4%). During the month of February 2018 sales figures were significantly

18 See analysis of survey in document « GS5391_Survey_Project and leakage emissions from biomass_MP1_EN » 19 As per the applied TPDDTEC methodology, the number of end user names and addresses (and phone numbers where possible) within sales record shall be large enough so that surveys and tests can be based on representative, purely randomly selected samples. In all cases data records with end users names and addresses shall be at least 10 times the survey and field test sample size in order to ensure an adequate end user pool to which random sampling can be applied.

Version 06.0 Page 11 of 54 CDM-MR-FORM higher than during the other months due to sales promotion and price discount of 20% during that month. All sales records are located within the project boundary described in section A.2. 37% of the sales are realized for end-users located in the municipality of Goma in the city of Goma, whereas 63% in the municipality of Karisimbi in the city of Goma. No sales have been registered in the cities of Beni and Butembo.

Usage survey: An annual usage survey determines the drop off rates as project technologies age and users switch back to the baseline technology20. 103 randomly selected households in Goma town21 have been sampled from 02/05/2018 to 13/05/2018. Since only one age group is involved in this 1st monitoring period. The requirements of 30 samples per age group and the weighting of the usage parameter according to age groups do not have to be taken into account. All of the interviews have been conducted in person by local surveyors trained before by the carbon consultants. ODK technology has been used for data collection. The document «Usage survey guidelines and instructions_EcoMakala_27042018» explains in detail the objective, sampling methodology, data collection and recruitment procedures as well as the management and analysis of data and quality control. The document «TRAINING PROTOCOL FOR SURVEYORS usage_monitoring survey 2018_07042018» illustrates the training provided to surveyors. According to the results of the survey 89% of the households have only one project ICS, whereas 9% two project ICS and 2% three project ICS. These figures will be used to determine the number of technology days for the calculation of carbon credits. The utilization rate is determined to be 92.23%. 8 out of 103 surveyed households were classified as non-users: 3 households didn’t have any indication of active usage of the project ICS and 5 households had a project ICS not in good or acceptable condition. The results of the usage survey are presented more in detail in document «GS5391_MS_Utilisation_MP1_20180612». The condition of the surveyed ICS can be consulted in document «GS5391_MS_Pictures_MP1_20180612». Besides the 103 households surveyed in the usage and monitoring survey, 50 additional households have been surveyed from 22/05/2018 to 29/05/2018 22 in terms of ICS benefits and end-user awareness. The consolidated result of the 153 households on the ICS benefits and end-user awareness are presented in document «GS5391_MS_Awareness_MP1_Consolidated». 93% of the surveyed respondents replied that they have the feeling to be sufficiently informed about the ICS benefits. The information channel on the ICS benefits in descending order of importance are: (i) Leaflet (including the information of transfer of rights of carbon credits to PP) provided at point of sales (93%); (ii) Media (like radio, TV, newspaper) (32%); (iii) Oral info provided at point-of-sale (28%); (iv) Household visit (25%); (v) Info provided by mobile Salesman/-woman (22%); and (vi) Information provided during cooking demonstration (15%). The survey also shows that 73% of the respondents replied that they have the feeling to be sufficiently informed/trained on how to use the ICS. The information channel on the ICS benefits in descending order of importance are: (i) Leaflet (including the information of transfer of rights of carbon credits to PP) provided at point of sales (95%); (ii) Household visit (37%); (iii) Oral info provided at point-of-sale (29%); (iv) Media (like radio, TV, newspaper) (22%); (iv) (v) Info provided by mobile Salesman/-woman (19%); and (vi) Information provided during cooking demonstration (18%).

Monitoring survey: Along with the usage survey, a monitoring survey of those households currently using the ICS has been carried out from 02/05/2018 to 13/05/2018 to assess end-user characteristics such as technology use, fuel consumption and seasonal variation. All households out of 103

20 It may be the case that the drop off rate is lower in the second year than in the first year, reflecting possible difficulties in the early adoption of a new technology. 21 There was no need to sample households in Butembo and Beni. Since no carbon credits will be claimed from ICS sold in those towns during the 1st monitoring period. 22 See document «20180420_Sample_MS_Awareness_MP1_20180614» for the determination of the sample of 50 households and document «GS5391_MS_Awareness_MP1_20180601» for the result of the survey of the sample of 50 households

Version 06.0 Page 12 of 54 CDM-MR-FORM households participating in the usage survey have been finally included in the monitoring survey. ODK technology has been used for data collection. A leakage assessment has not been conducted during this monitoring period and will be included as part of the next monitoring survey/performance certification. Since a leakage assessment has been carried out at the time of validation and is only needed every 2 years as per the applied methodology TPDDTEC (see Annex 5 of the methodology). The document «Usage survey guidelines and instructions_EcoMakala_27042018» explains in detail the objective, sampling methodology, data collection and recruitment procedures as well as the management and analysis of data and quality control. The document «TRAINING PROTOCOL FOR SURVEYORS usage_monitoring survey 2018_07042018» illustrates the training provided to surveyors. According to the survey results, all respondents use their project ICS only for domestic purposes. More than 95% of the surveyed households reported to use twice or more per day the project ICS during the wet and dry season. Before the purchase of the project ICS (i) 98% of the time charcoal was used during the dry and wet season; and (ii) more than 90% of the time an improved stove other than project stove (like e.g. charcoal pirate stoves) was used (during the dry season (93%) and wet season (94%)). Since the purchase of the project ICS the survey reveals that (i) the fuel use/frequency is the same as before the purchase of the project ICS (i.e. 98% of the time charcoal is used during the dry and wet season); and (ii) the project ICS is used at 96% independent of the season. In case respondents uses the project ICS also for other purposes than domestic cooking (i.e. 17%), it is exclusively for heating water for bathing/cleaning. 91% of the respondents mention to use less amount of fuel since receiving the project ICS. The results of the monitoring survey are presented more in detail in document «GS5391_MS_Utilisation_MP1_20180612».

Project Kitchen Performance Tests (KPT): KPTs with 85 randomly selected households using ICS have been carried out from 08/05/2018 to 15/06/2018 in Goma town23. The random selection of households ensured to have included a representative number of households for 2 out of the 3 identified baseline scenarios, so that it was finally possible to compare baseline fuel consumption with project fuel consumption for each of the scenarios through independent sampling. For one of the baseline scenarios (charcoal pirate stoves used in combination with electric stove) no separate project KPT has been conducted24 and the more conservative result from the project KPTs of households using solely charcoal pirate stoves has been applied for that scenario. The PP will update the project fuel consumption by carrying out biennial project KPTs to account for changes in the project scenario over time as project technologies age. The document «Project KPT protocol_English et Francais» explains in detail the objective, the necessary equipment and the KPT procedure to realize the Kitchen Perfomance Tests. The document « Product information Weight Balance KPT» provides product information of the scales used during the KPT. The document «Rapport de calibrage des balances utilisées pour les enquetes KPT à Goma» contains the calibration report of the scales used during the project KPT, whereas the file «Calibration balances KPT projet Goma MP1» the corresponding excel file for the determination of the deviation factor of 1.12% used to adjust the calculated average specific project fuel consumption. The document «TRAINING PROTOCOL FOR SURVEYORS KPT 2018_07042018» illustrates the training provided to surveyors for the KPT.

23 No carbon credits will be claimed for ICS sold in Beni and Butembo towns, hence no project KPTs have been conducted in those towns. 24 It was difficult to find in the project scenario households using both project ICS and electric stove. Further, baseline households have received their project ICS in May only, hence were not be considered as sufficiently representative of overall users in the database.

Version 06.0 Page 13 of 54 CDM-MR-FORM For each KPT data has been collected on data collection sheets which can be represented upon request. The document «KPT_Field data recording sheet_Goma_P_MP1» presents the collected data and for each KPT the average fuel consumption per capita and per day. The overall average fuel consumption resulting from the project KPT is calculated to be 0.26 kg/capita/day (after adjustment). All the project KPTs were conducted during the rainy season. Moisture content of the charcoal was not measured, but a conservative default value of 5% has been applied being the upper bound of the range indicated at http://cleancookstoves.org/technology-and-fuels/testing/protocols.html (see excel sheet available under KPT section/worksheet ‘coal/charcoal’). The baseline and project KPT data are analysed in combination to estimate the mean fuel savings. The analysis are presented per determined baseline scenario in the documents «GS5391_Single Fuel_KPT Result Analyser_Goma_MP1_Scenario_1», «GS5391_Single Fuel_KPT Result Analyser_Goma_MP1_Scenario_2» and «GS5391_Single Fuel_KPT Result Analyser_Goma_MP1_Scenario_3». Potential outliers are identified as those values which are either greater than 1.5 times the inter-quartile range (IQR) from the third quartile, or less than 1.5 times the IQR from the first quartile, and are excluded from the sample for further calculations. The sample results of all three scenarios satisfy after outlier exclusion the 90/30 rule25, which is in line with TPDDTEC for independent samples. Fuel savings calculation are presented in the tab «KPT_Consolidated result_Goma» of ER calculation file «GS5391_ER calculation EcoMakala_Energy_MP1_audit».

SECTION D. Data and parameters

D.1. Data and parameters fixed ex ante

Sustainable charcoal production/consumption component

Data / Parameter: CF Unit - Description Default wood to charcoal conversion factor Source of data IPCC Value(s) applied 6 Measurement methods A factor of 6 kg of firewood (wet basis) per kg of charcoal (dry basis). and procedures Purpose of data ER calculation Refer to:. The term ‘wet basis’ Additional comment assumes that the wood is ‘air-dried’ as is specified in the IPCC default table

Data / Parameter: NCVwood Unit TJ/t Description Net calorific value of wood Source of data IPCC default 2006, volume 2, chapter 1 (Table 1.2) Value(s) applied 0.0156 Measurement methods Use a default value of 0.0156 TJ/t based on the gross weight of the wood and procedures that is ‘air-dried’ Purpose of data ER calculation Additional comment -

25 The 90/30 rule implies that the endpoints of the 90% confidence interval of the sample lie within +/- 30% of the estimated mean.

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Data / Parameter: NCVcharcoal,default Unit TJ/t Description Default net calorific value of charcoal Source of data IPCC default 2006, volume 2, chapter 1 (Table 1.2) Value(s) applied 0.0295 Measurement methods Default value provided in section 1 in appendix 1 and procedures Purpose of data ER calculation Additional comment -

Data / Parameter: EFprojected_fossilfuel Unit tCO2/TJ Emission factor for the substitution of non-renewable woody biomass by Description similar consumers Source of data AMS-III.BG Value(s) applied 81.6 Measurement methods Default value of 81.6 and procedures Purpose of data ER calculation Additional comment -

Data / Parameter: fNRBi,y Unit % Description Non-renewability status of woody biomass fuel in scenario i during yeary Source of data Default value (see: https://cdm.unfccc.int/DNA/fNRB/index.html) Value(s) applied 90 Measurement methods fNRB assessment based on CDM EB Report 67, Annex 22 and procedures Purpose of data ER calculation The fNRB value will remain fixed during the crediting period. It was confirmed by the GS secretariat in an Email on March 01, 2017 and follow up clarification on March 09, 201726 that the current fNRB value as indicated on https://cdm.unfccc.int/DNA/fNRB/index.html can be Additional comment applied to the project activity on condition that the DOE is contracted and the project documentation is submitted to GS for PFA review before the fNRB expiry date being July 12, 2017. The DOE contract has been signed on June 08, 201727 and the project documentation for PFA review has been uploaded in the week starting 12/06/2017.

Data / Parameter: Pre-project land use Unit Variable Description Service level of the pre-project land use Source of data Land management records, growers’ interviews Value(s) applied 0 Measurement methods and procedures Purpose of data Potential leakage calculation Additional comment -

26 The Email exchange with the GS secretariat has been uploaded to the GS registry : ‘FW_ GS5391 'EcoMakala Virunga Energy project'_ fNRB DRC’ 27 The DOE contract has been uploaded to the GS registry : ‘GS5391 EcoMakala Energy - Validation - DOE contract - KBS – Signed’

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Data / Parameter: EFFT Unit tCO2/(t N) Aggregate emission factor for N2O and CO2 emissions resulting from Description production and application of nitrogen Source of data Tool ‘Project and leakage emissions from biomass’ Value(s) applied 13.3 Measurement methods A default value of 13.3 tCO2e/(t N) shall be used. and procedures Purpose of data Project emissions resulting from soil fertilisation and management Additional comment -

Data / Parameter: EFSA,i, Unit tCO2/t Emission factor for CO2 emissions from application of soil amendment Description agent type i Source of data Tool ‘Project and leakage emissions from biomass’ Value(s) applied 0.12 (limestone), 0.13 (dolomite), 0.20 (urea) Measurement methods Default values of 0.12 (limestone), 0.13 (dolomite), 0.20 (urea) shall be and procedures used Purpose of data Project emissions resulting from soil amendment (liming) Additional comment -

Improved cookstove component

Data / Parameter: EFb,CO2 Unit tCO2/TJ Description CO2 emission factor arising from use of charcoal in baseline scenario 2006 IPCC Guidelines for National Greenhouse Gas Inventories, volume Source of data 2, chapter 2 (Table 2.5) Value(s) applied 112 Measurement methods Default IPCC value for charcoal is applied. and procedures Purpose of data CO2 Emission calculation in baseline If EF is in units of tCO2/t_fuel, remove NCV term from emission Additional comment calculations. Term can include a combination of emission factors from fuel production, transport, and use.

Data / Parameter: EFb,non-CO2 Unit tCO2e/TJ Non-CO2 emission factor arising from use of charcoal in baseline Description scenario 2006 IPCC Guidelines for National Greenhouse Gas Inventories, volume Source of data 2, chapter 2 (Table 2.9) 8.2625 tCO2e/TJ for methane and 1.6241 tCO2e/TJ for N2O

Value(s) applied CH4 = 0.3305 tCH4/TJ * 25 (GWP) N2O = 0.00545 tN2O/TJ * 298 (GWP) CH : PP used the average of the range of 275 – 386 kg/TJ indicated for Measurement methods 4 charcoal stoves on Table 2.9, volume 2, chapter 2, 2006 IPCC Guidelines and procedures for National Greenhouse Gas Inventories

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N2O: PP used the average of the range of 1.6 – 9.3 kg/TJ indicated for charcoal stoves on Table 2.9, volume 2, chapter 2, 2006 IPCC Guidelines for National Greenhouse Gas Inventories Purpose of data Non-CO2 Emission calculation in baseline If EF is in units of tCO2/t_fuel, remove NCV term from emission calculations. Term can include a combination of emission factors from Additional comment fuel production, transport, and use.

Data / Parameter: EFp,CO2 Unit tCO2/TJ Description CO2 emission factor arising from use of charcoal in project scenario 2006 IPCC Guidelines for National Greenhouse Gas Inventories, volume Source of data 2, chapter 2 (Table 2.5) Value(s) applied 112 Measurement methods Default IPCC value for charcoal is applied. and procedures Purpose of data CO2 emission calculation in project scenario If EF is in units of tCO2/t_fuel, remove NCV term from emission Additional comment calculations. Term can include a combination of emission factors from fuel production, transport, and use.

Data / Parameter: EFp,non-CO2 Unit tCO2e/TJ Description Non-CO2 emission factor arising from use of charcoal in project scenario 2006 IPCC Guidelines for National Greenhouse Gas Inventories, volume Source of data 2, chapter 2 (Table 2.9) 8.2625 tCO2e/TJ for methane 1.6241 tCO2e/TJ for N2O Value(s) applied CH4 = 0.3305 tCH4/TJ * 25 (GWP) N2O = 0.00545 tN2O/TJ * 298 (GWP) CH4: PP used the average of the range of 275 – 386 kg/TJ indicated for charcoal stoves on Table 2.9, volume 2, chapter 2, 2006 IPCC Guidelines Measurement methods for National Greenhouse Gas Inventories and procedures N2O: PP used the average of the range of 1.6 – 9.3 kg/TJ indicated for charcoal stoves on Table 2.9, volume 2, chapter 2, 2006 IPCC Guidelines for National Greenhouse Gas Inventories Purpose of data Non-CO2 emission calculation in project scenario If EF is in units of tCO2/t fuel, remove NCV term from emission Additional comment calculations. Term can include a combination of emission factors from fuel production, transport, and use.

Data / Parameter: EFch,prod,CO2 Unit tCO2/ton charcoal Description CO2 emission factor arising from production of charcoal Emissions of greenhouse gases and other airborne pollutants from charcoal making in Kenya and Brazil, David M. Pennise, Kirk R. Smith, Source of data Environmental Health Sciences, University of California, Berkeley, California. Journal of Geophysical Research Vol 106 October 27, 2001. Value(s) applied 1.802 There are no IPCC default values available. Therefore, scenario-specific Measurement methods values are applied. The published emission factors in use here are found and procedures in Table 6A of “Emissions of greenhouse gases and other airborne pollutants from charcoal making in Kenya and Brazil, David M. Pennise,

Version 06.0 Page 17 of 54 CDM-MR-FORM Kirk R. Smith, Environmental Health Sciences, University of California, Berkeley, California. Journal of Geophysical Research Vol 106 October 27 2001”. See http://ehsdiv.sph.berkeley.edu/krsmith/publications/JGRPennise.pdf Purpose of data CO2 emission calculation in baseline and project scenario As per ‘Consolidated GHG database for the charcoal sector’ (https://www.google.com/url?q=https://cdm.unfccc.int/methodologies/sta ndard_base/GHDdatabase.xls&sa=U&ved=0ahUKEwj1kKms84_LAhXM Additional comment V44KHWo-CCAQFggEMAA&client=internal-uds- cse&usg=AFQjCNHxfn6_0vdrn0E4c368OrOJgKUa1g), the emission of CO2 from 1 Kg of Charcoal Production is 6513 Grams. The value used here for the calculation is 1,802 grams, which is conservative.

Data / Parameter: EFch,prod,non-CO2 Unit tCO2/ton of charcoal Description Non-CO2 emission factor arising from production of charcoal Methane emission factor arising from production of charcoal: Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories: Reference Manual, Table I-14, page I.46

Source of data N2O emission factor arising from production of charcoal: Table 6A of “Emissions of greenhouse gases and other airborne pollutants from charcoal making in Kenya and Brazil, David M. Pennise, Kirk R. Smith, Environmental Health Sciences, University of California, Berkeley, California. Journal of Geophysical Research Vol 106 October 27 2001. 0.7375 tCO2e/ton of charcoal for methane Value(s) applied 0.0447 tCO2e/ton of charcoal for N2O There are no IPCC default values available for N2O. Therefore, scenario- specific values are applied. The published emission factors in use here are found in Table 6A of “Emissions of greenhouse gases and other Measurement methods airborne pollutants from charcoal making in Kenya and Brazil, David M. and procedures Pennise, Kirk R. Smith, Environmental Health Sciences, University of California, Berkeley, California. Journal of Geophysical Research Vol 106 October 27 2001”. See http://ehsdiv.sph.berkeley.edu/krsmith/publications/JGRPennise.pdf Purpose of data CO2 emission calculation in baseline and project scenario In regards to methane emission factor arising from production of charcoal: Using the data source ‘Emissions of greenhouse gases and other airborne pollutants from charcoal making in Kenya and Brazil, David M. Pennise, Kirk R. Smith, Environmental Health Sciences, University of Additional comment California, Berkeley, California. Journal of Geophysical Research Vol 106 October 27, 2001’ would result in a less conservative value of 1.115 tCO2e/ton of charcoal, hence the more conservative value from the 1996 IPCC Guidelines for National Greenhouse Gas Inventories: Reference Manual, Table I-14, page I.46 has been applied.

Data / Parameter: NCVb, Unit TJ/ton of charcoal Description Net calorific value of the charcoal used in baseline Source of data IPCC default 2006, volume 2, chapter 1 (Table 1.2) Value(s) applied 0.0295 Measurement methods Default IPCC value for charcoal is applied. and procedures Purpoase of data CO2 emission calculation in baseline scenario Additional comment

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Data / Parameter: NCVp Unit TJ/ton of charcoal Description Net calorific value of the charcoal used in project scenario Source of data IPCC default 2006, volume 2, chapter 1 (Table 1.2) Value(s) applied 0.0295 Measurement methods Default IPCC values for charcoal is applied. and procedures Purpose of data CO2 emission calculation in project scenario Additional comment

Data / Parameter: fNRBi,y Unit % Description Non-renewability status of woody biomass fuel in scenario i during yeary

Source of data Default value (see: https://cdm.unfccc.int/DNA/fNRB/index.html) Value(s) applied 90 Measurement methods fNRB assessment based on CDM EB Report 67, Annex 22 and procedures Purpose of data ER calculation Additional comment The fNRB value will remain fixed during the crediting period It was confirmed by the GS secretariat in an Email on March 01, 2017 and follow up clarification on March 09, 201728 that the current fNRB value as indicated on https://cdm.unfccc.int/DNA/fNRB/index.html can be applied to the project activity on condition that the DOE is contracted and the project documentation is submitted to GS for PFA review before the fNRB expiry date being July 12, 2017. The DOE contract has been signed on June 08, 201729 and the project documentation for PFA review has been uploaded in the week starting 12/06/2017.

Data / Parameter: Pb,y Unit t/household/year Description Quantity of fuel that is consumed in baseline scenario b during year y Source of data Baseline KPT Value(s) applied 1.291 (Baseline KPT Goma) Measurement methods Determined through baseline KPTs in Goma, Butembo and Beni. The and procedures value of 1.291 is based on the baseline KPT results from Goma. The baseline KPT results for Butembo and Beni are not relevant for this verification and will be presented at the time of 2nd verification. Purpose of data Used to calculate the fuel savings Additional comment The baseline will remain by-default fixed during the crediting period since the project activity targets non-industrial applications (see page 6 of TPDDTEC)

Data / Parameter: baseline Unit Fraction Description Thermal efficiency for baseline stoves Source of data WBT, CREEC, 'Report on Stove Tests for IFDC Congo', 09/2012, table 3.1

28 The Email exchange with the GS secretariat has been uploaded to the GS registry : ‘FW_ GS5391 'EcoMakala Virunga Energy project'_ fNRB DRC’ 29 The DOE contract has been uploaded to the GS registry : ‘GS5391 EcoMakala Energy - Validation - DOE contract - KBS – Signed’

Version 06.0 Page 19 of 54 CDM-MR-FORM Value(s) applied 27.25 Measurement methods Average cold start/hot start traditional metal stove (TMS): 18% and procedures Average cold start/hot start Butembo stove: 36.5% Average TMS and Butembo stove used for ex-ante ER calculation: 27.25% Purpose of data For calculating ex-ante emission reductions Additional comment The thermal efficiency for baseline stoves is only used for ex-ante ER calculation. It is used for ex-ante purpose, because project KPT results will be only available at the time of 1st issuance. Ex-post, fuel savings are calculated as the difference between baseline fuel consumption and project fuel consumption (both determined through a KPT, whereas the baseline fuel consumption is fixed and the project fuel consumption updated biennially) or determined through the ageing test approach by monitoring the degradation in the performance of cookstove efficiency following the WBT and accordingly adjust the project fuel consumption level. The baseline fuel consumption is fixed in this case too.

D.2. Data and parameters monitored

Sustainable charcoal production/consumption component

Data/Parameter QCCP,i,y Unit tonnes Description Produced quantity of charcoal product i in year y Measured/calculated/ Measured default Source of data Cooperatives’ database Year 2017: 29.482 t 27.535 t (using improved kilns, i.e. including chimney) 1.948 t (using semi-improved kilns, i.e. without chimney) Value(s) of monitored parameter Year 2018: 19.263 t 17.886 t (using improved kilns, i.e. including chimney) 1.378 t (using semi-improved kilns, i.e. without chimney)

Monitoring equipment Scale/Balance (Nops 100 kg Spring Hanging Scale ZY-00630) Measuring/reading/recordi Continuously ng frequency Calculation method N/A (if applicable) The produced quantities of charcoal has been cross-checked with the quantities sold to end-consumers, distributors and depot (Goma Stove). QA/QC procedures See worksheet «Analysis» in file «GS5391_Production_Sales EcoMakala_MP1» Purpose of data/parameter Calculation of baseline emissions

30 See document « Product description Scale Nops ZY-006 »

Version 06.0 Page 20 of 54 CDM-MR-FORM Option 1 (Direct measurement of the weight of charcoal products supplied) as indicated in section B.7.1 of the PDD has been applied.

The scales used by the cooperatives are mechanical spring hanging Additional comments scales. During quality checks of the scales it appeared that all scales had a reading deviation of less than 5% (see Rapport « Callibrage de Balance Masisi_20180927»). For conservative purposes all production quantities of the different cooperatives have been adjusted with 5%.

Data/Parameter NCVcharcoal,i

Unit TJ/t

Description Net calorific value of the charcoal i produced Measured/calculated/ Default default Source of data Option 1 of Appendix in AMS-III.BG (equation 1) 0.0295 Value(s) of monitored parameter

Monitoring equipment N/A Measuring/reading/recordi No monitoring in case of option 1 of Appendix (equation 1) ng frequency Calculation method N/A (if applicable) QA/QC procedures N/A Purpose of data/parameter Calculation of baseline emissions In case of using option 1 of Appendix in AMS-III.BG (equation 1), NCV will not be monitored but instead the deemed value of 29.5 Additional comments charcoal,i GJ/tonne will be applied. All charcoal will be produced from purely woody source of biomass it is justified to apply this default value.

Data/Parameter qN,y Unit t N/ha Description Rate of nitrogen applied, in year y Measured/calculated/ Default default Source of data Tool ‘Project and leakage emissions from biomass’ Value(s) of monitored 0.20 parameter Monitoring equipment N/A Measuring/reading/recordi N/A since default value is being applied ng frequency Calculation method N/A (if applicable)

Version 06.0 Page 21 of 54 CDM-MR-FORM Please note that a cross-check of applied quantities with purchase receipts and inventory as proposed by the methodology is difficult since QA/QC procedures organic manure and cover crops do often not involve a purchase or are informally purchased; and purchase of synthetic fertilizer is handled by growers themselves, hence record keeping beyond control of PP. Purpose of data/parameter Calculation of project emissions Nitrogen applied through the following methods shall be added up to arrive at this value: (i) synthetic fertilisers; (ii) organic manure; (iii) return Additional comments of the residues or cover crops

Data/Parameter AFTM,y Unit Ha Description Area of land subjected to soil fertilization and management, in year y Measured/calculated/ Measured default Source of data Survey records maintained by PP Value(s) of monitored 0 parameter Monitoring equipment N/A Measuring/reading/recordi Annually ng frequency Calculation method N/A (if applicable) QA/QC procedures GPS land area measurements are widely recognized in DRC Purpose of data/parameter Calculation of project emissions Areas receiving one or more of the following inputs shall be added up to arrive at this value: (i) synthetic fertilisers; (ii) organic manure; (iii) return of the residues or cover crops

A survey with 100 randomly selected growers (planters) has been conducted to check on the utilization of synthetic fertilisers, organic Additional comments manure and/or nitrogen fixing cover crops. None of the surveyed growers indicated to use any synthetic fertilisers, organic manure and/or nitrogen fixing cover crops. Consequently, the area on which synthetic fertilisers, organic manure and/or nitrogen fixing cover crops are applied is zero. For more details, please see excel spreadsheet « GS5391_Survey_Project and leakage emissions from biomass_MP1_EN » Question 2.

q Data/Parameter SA,I,y

Unit t/ha Description Rate of application of soil amendment agent type i, in year y Measured/calculated/ Measured default Source of data Survey records maintained by PP Value(s) of monitored 0 parameter

Version 06.0 Page 22 of 54 CDM-MR-FORM Monitoring equipment N/A Measuring/reading/recordi Annually ng frequency Calculation method N/A (if applicable) Please note that a cross-check of applied quantities with purchase receipts and inventory as proposed by the methodology is difficult since QA/QC procedures purchase of soil amendment agents (if any) would be handled by growers themselves, hence record keeping beyond control of PP. Purpose of data/parameter Calculation of project emissions A survey with at least 100 randomly selected growers (planters) has been conducted to check on the utilization and rate of soil amendment agents. None of the surveyed growers indicated to use any soil amendment agent. Consequently, the rate of soil amendment agents is Additional comments zero. For more details, please see excel spreadsheet « GS5391_Survey_Project and leakage emissions from biomass_MP1_EN » Question 4.

Data/Parameter ASA,i,y Unit Ha Description Area of land in which soil amendment agent type i is applied, in year y Measured/calculated/ Measured default Source of data Survey records maintained by PP Value(s) of monitored 0 parameter Monitoring equipment N/A Measuring/reading/recordi Annually ng frequency Calculation method N/A (if applicable) QA/QC procedures GPS land area measurements are widely recognized in DRC Purpose of data/parameter Calculation of project emissions A survey with 100 randomly selected growers (planters) has been conducted to check on the utilization of soil amendment agents. None of the surveyed growers indicated to use any soil amendment agents. Consequently, the area on which the utilization of soil amendment Additional comments agents has been applied is zero. For more details, please see excel spreadsheet «GS5391_Survey_Project and leakage emissions from biomass_MP1_EN» Question 5.

Data/Parameter QFF,i,y Unit T Description Quantity of fossil fuel of type i consumed in year y Measured/calculated/ Measured default Source of data Survey records maintained by PP

Version 06.0 Page 23 of 54 CDM-MR-FORM Value(s) of monitored 0 parameter Monitoring equipment N/A Measuring/reading/recordi Annually ng frequency Calculation method N/A (if applicable) QA/QC procedures N/A Purpose of data/parameter Calculation of project emissions Fossil fuels used in the following activities shall be added up to arrive at this value: (i) use of farm machinery e.g. tractors, harvesters; (ii) treatment, pumping, and application of water for irrigation; (iii) use of machinery in transport and application of inorganic fertilisers, organic fertilisers, soil amending materials (e.g. limestone, dolomite) Additional comments A survey with at least 100 randomly selected growers (planters) has been conducted to check on the utilization of fossil fuels. None of the surveyed growers indicated to use any fossil fuels. Consequently, the quantity of fossil fuel applied is zero. For more details, please see excel spreadsheet «GS5391_Survey_Project and leakage emissions from biomass_MP1_EN» Question 8.’.

Data/Parameter QEL,y Unit MWh Description Quantity of electricity consumed in year y Measured/calculated/ Measured default Source of data Survey records maintained by PP Value(s) of monitored 0 parameter Monitoring equipment N/A Measuring/reading/recordi Annually ng frequency Calculation method N/A (if applicable) QA/QC procedures N/A Purpose of data/parameter Calculation of project emissions Electricity used in the following activities shall be added up to arrive at this value: (i) use of farm machinery run on electricity; (ii) treatment, pumping, and application of water for irrigation; (iii) transport and application of inorganic fertilisers, organic fertilisers, soil amending materials (e.g. limestone, dolomite) Additional comments A survey with at least 100 randomly selected growers (planters) has been conducted to check on the utilization of electricity. None of the surveyed growers indicated to use electricity. Consequently, the quantity of electricity applied is zero. For more details, please see excel spreadsheet «GS5391_Survey_Project and leakage emissions from biomass_MP1_EN» Question 6’.

Version 06.0 Page 24 of 54 CDM-MR-FORM Data/Parameter Land use Unit Variable Description Service level of the project land use Measured/calculated/ Measured default Source of data Survey records maintained by PP Value(s) of monitored Service level in project land use assumed to be the same as for pre- parameter project service level N/A Monitoring equipment Measuring/reading/recordi Annually ng frequency Calculation method N/A (if applicable) QA/QC procedures N/A Purpose of data/parameter Calculation of project emissions A survey with at least 100 randomly selected growers (planters) has been conducted to check on the service level of the project land use. The results confirm that the service level in project land use is the same Additional comments as for pre-project service level. For more details, please see excel spreadsheet «GS5391_Survey_Project and leakage emissions from biomass_MP1_EN» Question 11’.

Data/Parameter AFR,i,y Unit Ha Description Area of statum i of land subjected to fire in year y Measured/calculated/ Measured default Source of data Survey records maintained by PP Value(s) of monitored 0 parameter N/A Monitoring equipment Measuring/reading/recordi Annually ng frequency Calculation method N/A (if applicable)

QA/QC procedures GPS land area measurement

Purpose of data/parameter Calculation of project emissions

Version 06.0 Page 25 of 54 CDM-MR-FORM A survey with at least 100 randomly selected growers (planters) has been conducted to check on whether they burn any of the biomass making part of the project activity (e.g. burning of remaining biomass after harvest of trees). None of the surveyed growers indicated to burn Additional comments any of the biomass making part of the project activity. Consequently, the area on which biomass has been burnt is zero. For more details, please see excel spreadsheet «GS5391_Survey_Project and leakage emissions from biomass_MP1_EN» Question 13.

Data/Parameter bi Unit t dry matter/ha Fuel biomass consumption per hectare in stratum i of land subjected to Description fire Measured/calculated/ Default default Default ‘average above-ground biomass content in forest’ values from Source of data Table 3A.1.4 of the Good Practice Guidance for Land Use, Land-Use Change and Forestry (IPCC-GPG-LULUCF 2003) for DRC

Value(s) of monitored 225 parameter

Monitoring equipment N/A

Measuring/reading/recordi N/A since a default value is applied ng frequency Calculation method N/A (if applicable) QA/QC procedures N/A Purpose of data/parameter Calculation of project emissions The IPCC default value is applied since it is too difficult to conduct Additional comments measurements.

Data/Parameter Ri Unit Dimensionless Root-shoot ratio (i.e. ratio of below-ground biomass to above-ground Description biomass) for stratum I of land subjected to fire

Measured/calculated/ Default default Default values from Table 4.4 of the 2006 IPCC Guidelines for National Source of data GHG Inventories – Tropical mountain systems

Value(s) of monitored 0.26 parameter

Version 06.0 Page 26 of 54 CDM-MR-FORM Monitoring equipment N/A Measuring/reading/recordi N/A since a default value is applied ng frequency Calculation method N/A (if applicable) QA/QC procedures N/A Purpose of data/parameter Calculation of project emissions The IPCC default value is applied since it is too difficult to conduct Additional comments measurements.

Improved cookstove component

Data/Parameter Np,y Unit Project technologies credited (units) Technologies in the project database for project scenario p through Description year y Measured/calculated/ Measured default Source of data Total sales record 2017: 163 Value(s) of monitored parameter 2018: 836

Monitoring equipment N/A Measuring/reading/recordi Continuously ng frequency Calculation method N/A (if applicable) QA/QC procedures Transparent data analysis and reporting Purpose of data/parameter Calculation of baseline emissions

Version 06.0 Page 27 of 54 CDM-MR-FORM All ICS sales are recorded through smartphones or in exceptional cases through paper records (if smartphones are not available). Smartphones use ODK software or any other appropriate software tool and capture all required data related to sale, ICS and end-users to the largest extent possible. Data are automatically transferred to a centralized database whenever the vendor is online. The database is continuously checked for possible double-entries or implausible data entries.

It is assumed that all ICS are in usage 1 week after sales date and Additional comments hence will generate credits. The usage survey revealed that 89.3% of the respondents have only one project ICS in use, whereas 9.7% two and remaining 1% 3 project ICS in use. The number of project technologies credited based on the sales records has been adjusted accordingly.

Project technology days for each ICS have been calculated. Crediting started with the day following the date of ICS purchase by the household and ended at 31/05/2018, the last day of the monitoring period.

Data/Parameter Pp,y Unit t/household/year Description Quantity of fuel that is consumed in project scenario p during year y Measured/calculated/ Measured default Source of data Project KPT Value(s) of monitored 0.621 parameter Scale: DIKETE® Hanging Scale Accurate Portable Digital Luggage Monitoring equipment Suitcase Weighing Scales31 Measuring/reading/recordi Updated at least every 2 years ng frequency Calculation method N/A (if applicable) QA/QC procedures Transparent data analysis and reporting Purpose of data/parameter Calculation of project fuel consumption and fuel savings

31 See document « Product information Weight Balance KPT »

Version 06.0 Page 28 of 54 CDM-MR-FORM KPT protocol as per Annex of TPDDTEC is followed. Households in Goma town have been randomly selected. No project KPTs have been conducted in the towns of Butembo and Beni, since no carbon credits from ICS disseminated in those towns will be claimed for in this monitoring period. The sample results comply with a 90/30 precision which is in line with TPDDTEC for independent samples. Additional comments The document «Rapport de calibrage des balances utilisées pour les enquetes KPT à Goma» contains the calibration report of the scales used during the project KPT, whereas the file «Calibration balances KPT projet Goma MP1» the corresponding excel file for the determination of the deviation factor of 1.12% used to adjust the calculated average specific project fuel consumption.

Data/Parameter Up,y Unit Percentage Description Usage rate in project scenario p during year y Measured/calculated/ Measured default Source of data Annual usage survey 90.00% Value(s) of monitored parameter

Monitoring equipment N/A Measuring/reading/recordi At least annually, in all cases on time for any request for issuance ng frequency Calculation method N/A (if applicable) QA/QC procedures Transparent data analysis and reporting Purpose of data/parameter Calculation of emission reductions

Version 06.0 Page 29 of 54 CDM-MR-FORM A single usage parameter is weighted to be representative of the quantity of project technologies of each age being credited in a given project scenario. This is however not relevant for this monitoring period, since only age group is involved. The project follows the GS ‘Requirements and Guidelines for carrying out usage surveys for projects implementing improved cooking devices’.

Level B (Good Practice Monitoring Requirements) have been followed, which includes Level A mandatory monitoring requirements (step 1-3) and the additional Level B monitoring requirements as outlined in the GS ‘Requirements and Guidelines for carrying out usage surveys for projects implementing improved cooking devices’.

Level A requirements

Step 1: Defining stove use and non-use

The usage survey had been designed in such way that it has checked on frequency of use of ICS and baseline stoves, time since last use of ICS and since when ICS is in use. Hence, it has been possible to clearly Additional comments define when a project stove has been in use and when not. For further details see usage survey excel spreadsheet «GS5391_MS_Utilisation_MP1_20180612».

Step 2: Household Usage Survey

All usage surveys have been carried out in person. Sample size for the usage survey meets the requirements of TPDDTEC. The usage survey included a kitchen observation by the surveyors as well as an interview with the primary cook. Surveyors took photographs of the ICS and kitchen and captured GPS coordinates. For further details see usage survey excel spreadsheet «GS5391_MS_Utilisation_MP1_20180612».

Step 3: Verification Checks

CO2logic/WWF has randomly called 7 HHs after the surveyors had concluded their survey. This in order to verify whether the homes were indeed visited by the surveyors and the recorded responses have been correct. For further details see document «20180716_Rapport contre vérification_QC_Usage and monitoring survey».The result of 7 control surveys can be provided upon request.

Version 06.0 Page 30 of 54 CDM-MR-FORM Level B requirements

Field team training and supervision

CO2logic/WWF has provided training and supervision to surveyors to ensure that they have the capacity required to complete the usage survey successfully. The training was conducted prior to starting the fieldwork. Surveyors have been supervised and regular review of the collected data has been carried out, especially in the first days of data collection.

For details, please see the following documents: a) «TRAINING PROTOCOL FOR SURVEYORS usage_monitoring survey 2018_07042018» b) «participants list_training_monitoring/usage survey.pdf» c) «Usage survey guidelines and instructions_EcoMakala_27042018»

End-user training and follow up visits

End-users are made aware about how to use the stove through different means like information provided at the point of sale, through leaflets, Additional comments sales promotions or media like radio or TV. During the usage survey as well as in a separate survey (called ‘sensitization survey’), households were asked whether they were sufficiently informed and trained on how to use the stove. The response of the big majority of interviewed households was positive, hence this requirement is met. For details, please see the usage survey and sensitization survey excel spreadsheet «GS5391_MS_Awareness_MP1_Consolidated».

Awareness campaigns

End-users are made aware about the benefits of continuous use of project stove through different means like information provided at the point of sale, through leaflets, sales promotions or media like radio or TV. During the usage survey as well as in a separate survey (called ‘sensitization survey’), households were asked whether they were sufficiently informed and trained about the benefits of continuous use of project stove. The response of the big majority of interviewed households was positive, hence this requirement is met. For details, please see the usage survey and sensitization survey excel spreadsheet «GS5391_MS_Awareness_MP1_Consolidated».

Data/Parameter LEp,y

Unit tCO2e per year Description Leakage in project scenario p during year y

Version 06.0 Page 31 of 54 CDM-MR-FORM Measured/calculated/ Measured default

Source of data Monitoring survey

Not applicable, since no leakage assessment is necessary in this 1st Value(s) of monitored monitoring period. parameter Monitoring equipment N/A Measuring/reading/recordi Every 2 years ng frequency Calculation method N/A (if applicable) QA/QC procedures Transparent data analysis and reporting Purpose of data/parameter Leakage emissions Additional comments Not applicable for this monitoring period

Data/Parameter 푛푒푤,𝑖

Unit Fraction Efficiency of the IICS of each type i being deployed as part of the project Description activity Measured/calculated/ Measured default CRREC, Stove Permance Test Report, January 2018 Source of data

Not applicable since ageing test approach has not been applied. The Value(s) of monitored biennial project KPTs is applied to account for changes in the project parameter scenario over time as project technologies age

Monitoring equipment Not applicable Measuring/reading/recordi Not applicable ng frequency Calculation method Not applicable (if applicable) QA/QC procedures Not applicable Purpose of data/parameter Not applicable Not applicable since ageing test approach has not been applied. The biennial project KPTs is applied to account for changes in the project Additional comments scenario over time as project technologies age

Data/Parameter y

Unit Fraction Adjustment to account for any continued use of pre-project devices Description (baseline stove) in the project scenario during the year y

Version 06.0 Page 32 of 54 CDM-MR-FORM Measured/calculated/ Measured default Source of data Project KPT No separate value; fuel consumption of pre-project devices is captured Value(s) of monitored through project KPT parameter Scale (DIKETE® Hanging Scale Accurate Portable Digital Luggage Monitoring equipment Suitcase Weighing Scales32 ) used in project KPT Measuring/reading/recordi Biennially ng frequency Calculation method N/A (if applicable) QA/QC procedures - Purpose of data/parameter Emission reduction calculation No need to monitor this parameter separately since a project KPT has been conducted. Since in this case the project KPT capture the total Additional comments project fuel consumption on all stoves, i.e. also includes the fuels consumed on any baseline stoves.

Sustainable Development Indicators

No 1 Indicator Air quality (SD assessment) Mitigation measure Not relevant Chosen parameter Parameter#1: Perceived change in health by the charcoal producers Parameter#2: Perceived change in health by the ICS users Current situation of parameter Discomfort and possible health impact for charcoal producers (30/4/2017) and cookstoves users due to the presence of smoke and other particulate matters. Estimation of baseline situation of Parameter#1: 84% of surveyed charcoal producers (out of parameter which more than 98% have indicated to use traditional carbonization technology) perceive disturbance of smoke during carbonization Reference: BS_PRODUCTION_Analysis_v.01, Question 13. Parameter#2: 82% of the households perceive more smoke and other particular matters with the traditional cookstove than with the improved cookstoves. Reference: “Etude Foyers améliorés vf” page 22 Result for parameter Parameter#1: 100% of surveyed charcoal producers perceive that the improved carbonization technology produces less smoke than the traditional technology and 100% of surveyed charcoal producers notice less coughing since using the improved carbonization technology Parameter#2: 100% of surveyed stove users think that the project stove produces less smoke than the stove they used before. In addition 78% of surveyed stove users notice less coughing, 36% less eye irritation/itchy eyes from smoke, 59% less headache and 81% improvement of health conditions of cook and children.

32 See document « Product information Weight Balance KPT »

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Way of monitoring How Parameter#1: 16 charcoal producers in the territory of Masisi have been asked for the perceived change in presence of smoke and impacts on health and well-being. Only charcoal producers of Masisi have been surveyed as only renewable charcoal coming from this territory is valorised in terms of carbon credits during monitoring period 1.

Parameter#2: 103 stove users in the city of Goma have been asked for the perceived change in presence of smoke and impacts on health and well-being.

Supporting documents: - « GS5391_MS_Charcoal_MP1_20180614 »: worksheet “Report” question 19 and question 20; - « GS5391_MS_Utilisation_MP1_20180612 »: worksheet “Report” question 63 and question 64;

When Parameter#1: survey conducted between 13/05/2018 and 04/06/2018 Parameter#2: survey between 2/5/2018 and 13/5/2018 By who WWF RDC Goma

No 2 Indicator Quality of employment (SD assessment) Safe and healthy work environment (DNH assessment) Mitigation measure The workers who are involved in working with metal parts of the ICS can be exposed to cutting damages and all staff in the ICS workshop are also exposed to a noisy work environment. Charcoal producers are exposed to heat when producing the charcoal. Personal protective equipment (PPE) like overalls, boots, gloves, ear protection against noise, nose cover and security kits will be provided to charcoal producers and staff involved in manufacturing of ICS. Chosen parameter Parameter #1: Number of training sessions provided to charcoal producers, cooperatives, local ICS producer and sales associations and resellers Parameter #2: Ensure adequate working conditions by providing PPE to ICS workshop staff and charcoal producers Current situation of parameter • 51 charcoal producers in the territory of Lubero (23) (30/4/2017) and Masisi (28) have been trained during two training sessions in improved carbonization technology

• 4 cooperatives in Lubero (1) and Masisi (3) have been trained in the following modules: (i) roles and responsibilities of organizations; (ii) appropriate management; (iii) monitoring and evaluation; (iv) Business Plan Development; and (v) accounting software

• 14 training sessions have been organized with 631 participants (527 women and 104 men) from local ICS producer and sales associations with the following

Version 06.0 Page 34 of 54 CDM-MR-FORM modules: (i) technical training on the manufacture of different models; (ii) training on legalization and marketing aspects; (iii) training on public demonstrations; (iv) entrepreneurship Training, Leadership, Public-Private Partnership Development and Governance in General and Natural Resources in particular

• 20 resellers have been trained during 1 training session

Parameter #2: • 20 PPE kits have been provided to charcoal producers

• 10 PPE kits have been provided to ICS workshop staff

Estimation of baseline situation of Parameter #1: No training sessions provided in the baseline parameter Parameter #2: No PPE kits provided in the baseline

Result for parameter Parameter #1: The following trainings have been realized since the evaluation of the “Current situation of parameter”: • 24 charcoal producers (of which two female) have been trained during two training sessions in improved carbonization technology: (i) 11 charcoal producers (of which 1 female) of the territory of Rutshuru in the village of Kiwanja from 26th of March 2018 till 6th of April 2018; and (ii) 13 charcoal producers (of which 1 female) of the territory of Beni (and North-Lubero) in the village of Musienene from 9th of June 2018 till 23th of June 2018;

• 3 cooperatives in Masisi have been trained on harvest planning and commercialization of EcoMakala charcoal: (i) COCOPROBA: 11/1/2018; (ii) COPROMA: 18/1/2018; and (iii) CACOPROB: 19/1/2018;

• 4 cooperatives in Masisi (3) and Lubero (1) have been trained on monitoring and evaluation using data capturing software ODK: (i) CACOPROB (Masisi): 13/2/2018; (ii) COPROMA (Masisi): 13/2/2018; COCOPROBBA (Masisi): 13/2/2018; and (iv) COOPAL (Lubero): 7/3/2018;

• 1 training session of 6 days for workforce of ICS workshop of Gomastove for 31 persons: (i) ceramic department (10); (ii) metalwork (13); (iii) assembly (6); and (iv) finishing (2);

• 1 training session for 5 resellers of Gomastove on marketing held on 28/7/2018;

Parameter #2: • 11 PPE kits (including a set of protective gloves, protective mask, overall, pair of boots and safety helmet) have been provided to charcoal producers in

Version 06.0 Page 35 of 54 CDM-MR-FORM the territory of Rutshuru during their training session held in the village of Kiwanja from 26th of March 2018 till 6th of April 2018;

• 10 PPE kits have been provided to ICS workshop staff in July 2017;

Way of monitoring How Parameter#1: The provision of training sessions to different actors in the charcoal and ICS value chain has been monitored to ensure that the technical capacities of the work staff delivers the necessary quality of products and services. The following evidences of such trainings (participants lists, training reports, photos) are listed below per training:

Workshops charcoal producers: - « Rapport de Formation de charbonniers_territoire Beni_Nord Lubero_Rutshuru_2018 »: report of the 2 workshops for charcoal producers organized in the territories of Rutshuru and Beni; - « Liste de présence_Formation charbonniers Rutshuru »: participation list of the workshop for charcoal producers of Rutshuru in the village of Kiwanja from 26th of March 2018 till 6th of April 2018; - « Liste de présence_Formation charbonniers Rutshuru_suite » ; participation list part 2 of the workshop for charcoal producers of Rutshuru in the village of Kiwanja from 26th of March 2018 till 6th of April 2018; • « Liste de présence_formation_charbonniers_Beni et Lubero Nord » : participation list of the workshop for charcoal producers of Beni (and North-Lubero) in the village of Musienene from 9th of June 2018 till 23th of June 2018;

Workshops cooperatives on harvest planning and commercialization: - « TDR PLANIFICATION_201801 »: reference terms of the workshop; - « Rapport Atelier de planification et commercialisation-2 »: report of the workshop with pictures; - « liste de présence_Diobass_Atelier planification et commercialisat »: participation list of the 3 workshops ;

Workshops cooperatives monitoring and evaluation through ODK: - « 20180320_Rapport de la formation ODK » : report of the 4 workshops with presence list and pictures;

Workshop ICS artisans: - « Rapport de formation des artisans des foyers améliorés au sein de Goma Stove Sarl » : report of the training session for worksforce of ICS workshop of Gomastove;

Version 06.0 Page 36 of 54 CDM-MR-FORM - « Manuel pour la formation sur les équipements » : Training manual for the manufacture of ICS ; - « Liste de présences_formation Gomastove_Atelier FA » : presence list during training session

Workshop workforce of Gomastove on marketing: - « Rapport de formation des revendeurs sur les notions de marketing » : report of training sessions for reseller on marketing - « Module de Formation des revendeurs1 » : training module for resellers - « Liste des présence_formation Gomastove_Marketing » : presence list during training session

Parameter#2: The provision of PPE has been monitored to determine whether the labour conditions improved with the project. Evidence of the provision and use of PPE includes invoices for purchase of PPE, photos, on-site inspections: - « Preuves de remise des 10 kits de protection » : receipts of PPE signed by workshop staff and charcoal producers; - « Picture charcoal makers using PPE » : Picture showing the usage of PPE by charcoal makers during workshop in Rutshuru; - « Facture Kit Protection charbonniers »: Invoice PPE kit charcoal makers - « Facture Kit Securite Gs » : invoice of the purchase of 10 PPE kits for workforce in ICS workshop of Gomastove; - « Picture GS workforce ICS workshop with PPE kit » : picture showing metal workers using PPE

When Parameter#1: annually Parameter#2: annually By who WWF RDC Goma, Goma Stove Sarl, Diobass

No 3 Indicator Livelihood of the poor (SD assessment) Mitigation measure Not relevant Chosen parameter Parameter #1: Increase in revenue for the charcoal producers thanks to improved technology Parameter #2: Money spent for purchasing charcoal Current situation of parameter Parameter #1: Charcoal producers use the traditional (30/4/2017) carbonization technology with low efficiency and their revenue is dependent on the produced charcoal quantity Parameter #2: the expenditures related to the purchase of charcoal corresponds for most urban households to 10 to 25% of their total costs and for some households this can increase to 50%33. Estimation of baseline situation of Parameter #1: Almost all charcoal producers use the parameter traditional charcoal technology (Reference: BS_PRODUCTION_Analysis_v.01, Question 6).

33 See document “20150819 Ecomakala Etude Bois Energie au Nord Kivu - rapport final » page 18

Version 06.0 Page 37 of 54 CDM-MR-FORM Parameter #2: The average charcoal consumption per month is estimated at 72 kg with an average cost price of 475 CDF/kg, which is approximately 34.000 CDF (Reference: . “20150819 Ecomakala Etude Bois Energie au Nord Kivu - rapport final » page 18) Result for parameter Parameter #1: 100% of surveyed charcoal producers perceive since applying the improved carbonization technology an increase of productivity and hence revenue compared to the traditional technology. 94% of the surveyed charcoal producers estimate that their charcoal/revenue increased between 25% and 50% compared to before and 6% estimate 50% of increase. When asking what they do with the additional money 94% spend it for family and 6% for education.

Parameter #2: 91% of surveyed stove users use less amount of fuel than before whereas 7% use the same amount. The amount of money for the purchase of fuel saved since the usage of the project ICS can differ: (i) less than 25%: 40%; (ii) between 25% to 50%: 22%; (iii) 50%: 35%; and (iv) more than 50%: 2%. When asking what stove users do with the saved money 1% spend it for income generating activities, 80% for family and 15% for education.

Way of monitoring How Parameter #1: 16 charcoal producers in the territory of Masisi have been asking for the perceived change in productivity of charcoal production and revenue. Only charcoal producers of Masisi have been surveyed as only renewable charcoal coming from this territory will be valorised in terms of carbon credits during monitoring period 1.

Parameter#2: more than 100 stove users in the city of Goma have been asking whether the project activity results in savings for households in regards to charcoal purchase.

Supporting documents: - « GS5391_MS_Charcoal_MP1_20180614 »: worksheet “Report” question 16, question 17 and question 18; - « GS5391_MS_Utilisation_MP1_20180612 »: worksheet “Report” question 59, question 61 and question 62;

When Parameter #1: survey conducted between 13/05/2018 and 04/06/2018

Parameter #2: survey conducted between 2/5/2018 and 13/5/2018 By who WWF RDC Goma along with cooperatives

No 4 Indicator Access to affordable and clean energy services (SD assessment) Mitigation measure Not relevant Chosen parameter Parameter #1: Number of ICS in use

Version 06.0 Page 38 of 54 CDM-MR-FORM Parameter #2: Quantity of sold renewable charcoal (EcoMakala)

Current situation of parameter Parameter #1: since 2009 the project has been producing (30/4/2017) and selling ICS with around 70,000 ICS sold by end of 2016. Parameter #2: the first production of renewable charcoal started in 2015 and by end of 2016 around 567 t of renewable charcoal have been produced. Estimation of baseline situation of Parameter #1: No standardised ICS production with an parameter appropriate quality assurance and quality control in place prior to the project activity. Parameter #2: No charcoal production using renewable biomass and efficient charcoal production technologies. Result for parameter Parameter #1: 2,449 ICS during MP1 Parameter #2: 48.745 tons of renewable charcoal (EcoMakala) produced with the efficient charcoal production technology in the territory of Masisiduring MP1 Way of monitoring How Parameter#1: According the database of sales records 2,721 ICS have been sold during MP1, whereas the usage survey conducted from between 2/5/2018 and 13/5/2018 determines a usage rate of 90%.

Supporting documents: - « GS5391_Sales records ICS_Goma_MP1_201709- 201805 »: the number of sold ICS during MP1 is 2,721; - « GS5391_MS_Utilisation_MP1_20180612 » : the determined usage rate based on the Monitoring and Utilisation Survey is 90%;

Parameter#2: The database provides the total quantity of renewable charcoal produced with the efficient charcoal production technology in the territory of Masisi during MP1, which is 48.745 tons (after applying correction factor of 5% for used scales). The produced quantities are cross-checked with the quantities sold to end-consumers, distributors and depot coming from eligible plantations of the project and produced with the efficient charcoal production technology in the territory of Masisi during the same period, i.e. 53 tons. Even if the total sales records are higher than the production records, only the total eligible production records during MP1 of 48.745 tons will be claimed. Only data collected through the cooperatives is reported in his database.

Supporting documents: - «GS5391_Production_Sales EcoMakala_MP1»: Database providing production and sales data; - «Rapport Callibrage de Balance Masisi_20180927» : report providing information on the precision of the used scales ;

When Parameter #1: annually

Version 06.0 Page 39 of 54 CDM-MR-FORM Parameter #2: annually By who WWF RDC Goma, Goma Stove Sarl, cooperatives

No 5 Indicator Human and institutional capacity (SD assessment) Mitigation measure Not relevant Chosen parameter Number of awareness raising campaigns Current situation of parameter 5 awareness raising campaigns have been organized to (30/4/2017) inform on the ICS and sustainable charcoal EcoMakala benefits and possible positive impacts on both households and environment Estimation of baseline situation of No awareness raising campaigns have been carried out prior parameter to the project start. Results for parameter Since reporting of the Current situation of the parameter Goma Stove Sarl has organized two types of awareness campaigns in the city of Goma: - Broadcast of sustainable charcoal EcoMakala commercials on television between September and December 2017; - More than 7 sensitization workshops for agents of different organizations, churches and public enterprises explaining the benefits of the ICS for households and environment;

Way of monitoring How The provision of awareness raising campaigns to stove users has been monitored to ensure environmental awareness and proper usage of the ICS and sustainable EcoMakala charcoal. Evidence of such awareness raising campaigns like invoices, photos, reports are listed below.

Supporting documents:

- « Fact Deplants »: invoice for the purchase of leaflets used during awareness campaigns - « Fact Depliants et TV Emmanuel 201709 »: invoice for the purchase of leaflets used during awareness campaigns and invoice for the broadcast of sustainable EcoMakala charcoal commercial for one month starting from 18/9/2017; - « Fact TV Emmanuel 201810 »: invoice for the broadcast of sustainable EcoMakala charcoal commercial from 18/10/2017 till 18/11/2017; - « Fact TV Emmanuel 201811-12 »: invoice for the broadcast of sustainable EcoMakala charcoal commercial from 18/11/2017 till 18/12/2017; - « Recu montage magazine Gs »:invoice for sustainable EcoMakala charcoal commercial; - « rapport de campagne de sensilisation sur les foyers v2 »:report on the different sensitization workshops for the promotion of project ICS - « Picture public awareness ICS 1 to 6 »: some pictures of public awareness session to promote the project ICS

When Annually By who WWF RDC Goma, Goma Stove Sarl

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No 6 Indicator Quantitative employment and income generation (SD assessment) Mitigation measure Not relevant Chosen parameter Number of jobs created due to the project activity with salaries/wages at par or better than the average local/sector wage level Current situation of parameter 1 person responsible for community aspects and 1 project (30/4/2017) manager Goma Stove Sarl: 5 Reprofca: 300 persons across 20 member associations Jiko Bora: 96 persons across 15 member associations Estimation of baseline situation of No employment prior the project start date parameter Result for parameter 1 person responsible for community aspects and 1 project manager Goma Stove Sarl: 5 Reprofca: 29 artisans

Way of monitoring How Documents below allow a quantitative monitoring of local employment and generated income.

Supporting documents:

- « Bulletin de paie Gentil Munganga Sept 2017- Février 2018 » : payroll of responsible person for community aspects; - « Bulletin de paie Consolée sept 2017-février 2018 » : payroll of project manager; - « Contrats Agents Goma Stove »: contracts of some agents of Gomastove; - « Bulletin de paie agents Goma Stove » : payroll of some agents of Gomastove; - « Liste de presence Vulgarisation Reglement Gs »: participation list of meeting relative to the dissemination of internal regulations of Gomastove (5 employees and 29 artisans of Reprofca); - «Rapport de vulgarisation du règlement de Gomastove» : meeting minutes relative to the dissemination of internal regulations of Gomastove. When Annually By who WWF RDC Goma along with Goma Stove Sarl, Reprofca.

GRIEVANCE MECHANISM

Method Chosen (include Justification all known details e.g. location of book, phone, number, identity of mediator) Continuous Input / Office of WWF-DRC in At least 2 continuous input and Grievance Expression Goma: grievance books are provided, one Process Book in the south (Goma, the capital of 142/02, Avenue Mont North Kivu) and one in the north Goma (Beni) of the project area. The books give access to a large

Version 06.0 Page 41 of 54 CDM-MR-FORM B.P. 106 Goma number and wide range of stakeholders. Those ones who do

not have access to the books, can

provide their comments or other Office of WWF-DRC in queries through telephone or Email Beni: (see below). Commune: Beu Quartier: Malepe Boulevard Nyamwisi, 55 Telephone access Genthy Munganga : +243 Stakeholders can call during 99 770 5585 business hours either Thierry Thierry Lusenge: +243 97 Lusenge (WWF programme 132 1047 / +243 81 317 director) or Genthy Munganga 7567 (Community officer). Stakeholders may also directly call Gold Standard: +41 22 the Gold Standard Foundation. 788 70 80 Internet/email access Genthy Munganga : Stakeholders can email at any time [email protected] either Thierry Lusenge (WWF Thierry Lusenge : programme director) or Genthy [email protected] Munganga (Community officer) Stakeholders may also directly Gold Standard: email the Gold Standard [email protected] Foundation. Nominated Not used Not applicable Independent Mediator (optional)

No grievances or any other comments have been received by stakeholders during the monitoring period.

D.3. Implementation of sampling plan Usage and monitoring survey: Sampling method - The households were randomly selected from the sales database using the Excel random generator sampling tool (http://www.excel-easy.com/examples/random-numbers.html) and the sampled households are properly recorded in an excel spreadsheet (see document «20180420_Sample_MS_Utilision_MP1_20180709»). The households were visited in the chronological order starting from the top of the randomly sampled list. In case that a household is not available or accessible due to security or infrastructure reasons, the subsequent household in the randomly sampled excel list is taken. A justification has been provided in case that a household, even though making part of the sample group, is finally not visited.

Sample size - As per the applied methodology TPDDTEC, the minimum total sample size for usage survey is 100, with at least 30 samples for project technologies of each age being credited34. The usage parameter must be applied when calculating the quantity of fuel consumed in project scenario p during year y (Bp,y). Unless proven otherwise, it should be assumed that any drop off in the use of the project technology is replaced by fuel consumption in the applicable baseline scenario. Though the usage survey could be used in order to establish a useful lifetime for technologies after which

34 Thus if technologies of age 1-5 are credited, the usage survey must include 30 representative samples from each age for a total of 150 samples. The resulting usage parameter should be weighted based on the proportion of technologies in the total sales record of each age.

Version 06.0 Page 42 of 54 CDM-MR-FORM they are removed from the project database and no longer credited35, PP decided per se not to credit any improved cookstoves anymore being older than 2 years. In regard to the monitoring survey, TPDDTEC methodology prescribes the following minimum sample sizes depending on the population size: (i) Group size < 300 → Minimum sample size 30 or population size, whichever is smaller; (ii) Group size 300 to 1000 → Minimum sample size 10% of group size; and (iii) Group size > 1000 → Minimum sample size 100. Due to the fact that the monitoring survey is carried out in combination with the usage survey and households only participate in the monitoring survey if they are still using the project technology, it is anticipated that any non-response rate would be very low. Since, households already agreed to participate in the usage survey, it is very improbable that they would refuse to participate in the monitoring survey. Sampling frame - The sampling frame consists of the households included in the sales database for the city of Goma, and being eligible under the project activity. In addition, for this first usage/monitoring survey, the sampling frame consists of households only which purchased an ICS in the period between 01/09/2017 and 15/12/2017. This is in order to comply with the TPDDTEC requirement in footnote 33 which requests participants in a usage survey in the first year having technologies that have been in use on average longer than 0.5 years.

Survey - 103 randomly selected households in Goma town36 have been sampled from 02/05/2018 to 13/05/2018. Only one age group is applicable during this monitoring period.

Benefits and end-user awareness survey: Sampling method – The sampling method is similar as for the usage and monitoring survey. Details of the sample can be found in document «20180420_Sample_MS_Awareness_MP1_20180614». Sample size – No minimum total sample size is specified for the survey. Besides the 103 households surveyed during the usage and monitoring survey on benefits and end-user awareness, some 50 additional households have been added to the sample size in order to increase representativeness of the sample. Sampling frame - The sampling frame consists of the households included in the sales database for the city of Goma, with purchase date situated during this MP and being eligible under the project activity. Survey - Besides the 103 households surveyed in the usage and monitoring survey, 50 additional households have been surveyed from 22/05/2018 to 29/05/201837 in the city of Goma in terms of ICS benefits and end-user awareness.

Project KPT: Sampling method – As specified in the registered PDD paired sampling was envisaged. The first 23 surveyed households for project KPT were chosen based on the baseline KPT (see for more details document «Liste des ménages KPT_BS_Goma». When proceeding with the sampling, it revealed that most households from the baseline KPT were not available for the project KPT and that unpaired sampling should be envisaged. Hence additional households were sampled similar as for the usage and monitoring survey. Details of the additional sample can be found in document «Echantillon _KPT_appel Tél_Arsène_Mai 2018_20180626».

35 The corresponding household may of course then acquire a new improved stove in which case emission reductions will be claimable under another technology vintage.

36 There was no need to sample households in Butembo and Beni. Since no carbon credits will be claimed from ICS sold in those towns during the 1st monitoring period. 37 See document «20180420_Sample_MS_Awareness_MP1_20180614» for the determination of the sample of 50 households and document «GS5391_MS_Awareness_MP1_20180601» for the result of the survey of the sample of 50 households

Version 06.0 Page 43 of 54 CDM-MR-FORM Sample size – The sample size is determined in such a way that the results of randomly selected households complies with the 90/30 rule in order to apply the mean fuel savings for the calculation of emission reductions. Sampling frame – The sampling frame is the same as for the usage and monitoring survey. Survey - KPTs with 85 randomly selected households using ICS have been carried out from 08/05/2018 to 15/06/2018 in Goma town38. Survey for the determination of potential project and leakage emissions from biomass Sampling method – Growers are selected at random. Sampling size – At least 100 growers are selected for the survey Sampling frame – Only growers from eligible plantations make part of the sample frame. Survey – 100 growers of the territories of Masisi, Lubero, Beni and Rutshuru39 have been surveyed between 21/4/2018 and 28/6/2018.

Survey for charcoal producers Sampling method – Charcoal producers are selected at random. Sampling size – As the survey is limited to Masisi territory the sample size is limited to less than 20. Sampling frame – Only charcoal producers trained by the project are included in the sampling frame.

Survey - 16 charcoal producers have been surveyed in the territory of Masisi between 13/5/2018 and 4/6/2018.

SECTION E. Calculation of emission reductions or net anthropogenic removals

E.1. Calculation of baseline emissions or baseline net removals

The following formulae refer to the calculation of emission reductions and include both baseline emissions and project emissions.

Sustainable charcoal production/consumption component

퐸푅푦 = ∑ 푄퐶퐶푃,푖푦 ∗ [(퐶퐹 ∗ 푁퐶푉푤표표푑 ∗ 푖

Where:

38 No carbon credits will be claimed for ICS sold in Beni and Butembo towns, hence no project KPTs have been conducted in those towns. 39 As the total surface of plantations located in the territory of Nyaragongo represents less than 1% of the total surface with eligible plantations, no grower of the territory of Nyaragongo has been surveyed.

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ERy = Emission reductions in year y (t CO2e/yr)

QCCP,i,y = Quantity of charcoal type i produced and used in year y (t) CF = Default wood to charcoal conversion factor

NCVwood = Net calorific value of wood (TJ/t) (use a default value of 0.0156)

NCVcharcoal,i = Net calorific value of the charcoal type i produced during the project (TJ/t)

NCVcharcoal,default = Default net calorific value of charcoal (TJ/t) (use a default value of 0.0295)

fNRB,BL,wood = Fraction of biomass of type i used in the absence of the project activity that can be established as non-renewable biomass; determined on the basis of the published DNA endorsed default values available on the UNFCCC website (fNRB default value = 90%)

EFprojected_fossilfuel = Emission factor for the substitution of non-renewable woody biomass by similar consumers (t CO2/TJ) (use a default value of 81.6)

PEFF,y = Project emissions due to fossil fuel consumption in charcoal production facilities in year y (t CO2)

PEEl,y = Project emissions due to electricity consumption in charcoal production facilities in year y (t CO2)

PEBC,y = Project emissions due to biomass cultivation in year y (t CO2)

Improved cookstove component

퐸푅푦 = ∑ (푁푝,푦 ∗ 푈푝,푦 ∗ 푃푝,푏,푦 ∗ 푁퐶푉푏,푐ℎ푎푟푐표푎푙 ∗ (푓푁푅퐵,푏,푦 ∗ 퐸퐹푐ℎ푎푟푐표푎푙,퐶푂2 + 퐸퐹푐ℎ푎푟푐표푎푙,푛표푛 퐶푂2)) − ∑ 퐿퐸푝,푦 푏,푝

퐸푅푦 Emission reductions in year y

∑푏,푝 Sum over all relevant (baseline b/project p) couples

푁푝,푦 Cumulative number of project technology-days included in the project database for project scenario p against baseline scenario b in year y

푈푝,푦 Cumulative usage rate for technologies in project scenario p in year y, based on cumulative adoption rate and drop off rate revealed by usage surveys (fraction)

푃푝,푏,푦 Specific charcoal savings for an individual technology of project p against an individual technology of baseline b in year y, in tons/day, as derived from the statistical analysis of the data collected from field tests.

푓푁푅퐵,푏,푦 Fraction of biomass used in year y for baseline scenario b that can be established as non-renewable biomass.

푁퐶푉푏,푐ℎ푎푟푐표푎푙 Net calorific value of the charcoal substituted or reduced. 퐸퐹푐ℎ푎푟푐표푎푙,퐶푂2 CO2 emission factor of the fuel that is substituted or reduced. 퐸퐹푐ℎ푎푟푐표푎푙,푛표푛 퐶푂2 Non-CO2 emission dactor of the charcoal that is reduced or substituted LEp,y Leakage for project scenario p in year y (tCO2e/yr)

Detailed ex-ante ER calculation including all assumptions and input parameters are available in the ER calculation excel spreadsheet.

Version 06.0 Page 45 of 54 CDM-MR-FORM E.2. Calculation of project emissions or actual net removals

Sustainable charcoal production/consumption component

There are no PE due to fossil fuel consumption in charcoal production facilities, electricity consumption in charcoal production facilities or due to biomass cultivation in year y.

Improved cookstove component

A separate calculation of project emissions has been done even if project emissions don’t make part of the ER formulae indicated under section E.1. More details can be found in the ER calculation file.

E.3. Calculation of leakage emissions There are no leakage emissions for any of the 2 components.

E.4. Calculation of emission reductions or net anthropogenic removals

Sustainable charcoal production/consumption component

Baseline GHG emission reductions or net Project GHG GHG anthropogenic GHG removals emissions or Leakage emissions or (t CO e) actual net GHG 2 baseline net GHG emissions GHG removals (t CO e) Before From Total removals 2 (t CO2e) 01/01/2013 01/01/2013 amount (t CO2e) 2017 203 0 0 N/A 203 203 2018 132 0 0 N/A 132 132 Total 335 0 0 N/A 335 335

Improved cookstove component

Baseline GHG emission reductions or net Project GHG GHG anthropogenic GHG removals emissions or Leakage emissions or (t CO e) actual net GHG 2 baseline net GHG emissions GHG removals (t CO e) Before From Total removals 2 (t CO2e) 01/01/2013 01/01/2013 amount (t CO2e) 2017 1,070 515 0 N/A 555 555 2018 5,504 2,649 0 N/A 2,855 2,855 Total 6,574 3,164 0 N/A 3,410 3,410

Total including both components

Version 06.0 Page 46 of 54 CDM-MR-FORM Baseline GHG emission reductions or net Project GHG GHG anthropogenic GHG removals emissions or Leakage emissions or (t CO e) actual net GHG 2 baseline net GHG emissions GHG removals (t CO e) Before From Total removals 2 (t CO2e) 01/01/2013 01/01/2013 amount (t CO2e) 2017 1,273 515 0 N/A 758 758 2018 5,637 2,649 0 N/A 2,987 2,987 Total 6,909 3,164 0 N/A 3,745 3,745

E.5. Comparison of emission reductions or net anthropogenic removals achieved with estimates in the registered PDD Amount achieved during this monitoring period Amount estimated ex ante (t CO2e) (t CO2e) 3,745 13,751

E.6. Remarks on increase in achieved emission reductions Not applicable since actual ERs are lower than estimated ones.

Version 06.0 Page 47 of 54 CDM-MR-FORM Attachment. Instructions for completing this form

1. General instructions 1. When reporting on monitoring results and completing this form, in addition to applying the “CDM project standard for project activities” (hereinafter referred to as the project standard), the selected methodologies and, where applicable, the selected standardized baselines, consult the “Rules and Reference” section of the UNFCCC CDM website. This section contains all regulatory documents for the CDM, such as standards (including methodologies, and standardized baselines), procedures, tools, guidelines, clarifications, forms and the “Glossary: CDM terms”. 2. Make any data, values and formulae included in spreadsheets accessible and verifiable. 3. Complete this form in English. Prepare all attached documents in English, or if their originals were prepared in another language, provide a full translation of the relevant sections of these documents in English. 4. Complete this form using the same format without modifying its font, headings or logo, and without any other alteration to the form. 5. Do not modify or delete tables and their columns in this form. Add rows to the tables as needed. Add additional appendices as needed. 6. If a section of the form is not applicable, explicitly state that the section is left blank intentionally. 7. Use an internationally recognized format for presentation of values. For example, use digit grouping in thousands and mark a decimal point with a dot (.), not with a comma (,). 8. Complete this form deleting this attachment.

Version 06.0 Page 48 of 54 CDM-MR-FORM 2. Specific instructions 1. Indicate the following information on the cover page: (a) Title of the project activity; (b) UNFCCC reference number of the project activity; (c) Version number of the PDD applicable to this monitoring report; (d) Version number of this monitoring report; (e) Completion date of this monitoring report: Indicate the date in DD/MM/YYYY; (f) Monitoring period number: The monitoring period number is an ordinal number referring to the chronological order of monitoring periods (e.g. “first monitoring period”); (g) Duration of this monitoring period: Indicate the duration with the first and last dates in DD/MM/YYYY – DD/MM/YYYY; (h) Monitoring report number for this monitoring period: Applicable when preparing multiple separate monitoring reports for the monitoring period for different batches of small-scale project activities in the registered bundle of small-scale project activities. To distinguish between such multiple separate monitoring reports, assign an ordinal number from 1 upwards (e.g. 1, 2, 3…n) to each monitoring report in the consecutive order; (i) Project participants; (j) Host Party; (k) Sectoral scopes: List all sectoral scopes applicable to the project activity; (l) Applied methodologies and standardized baselines: List all the methodologies and combination of methodologies, and where applicable, the standardized baselines, applied to the project activity; (m) Amount of GHG emission reductions or net anthropogenic GHG removals achieved by the project activity in this monitoring period: Provide the total amount in tonnes of CO2 equivalent; (n) Amount of GHG emission reductions or net anthropogenic GHG removals estimated ex ante for this monitoring period in the PDD: Provide the total amount in tonnes of CO2 equivalent based on the ex ante estimation in the PDD, with adjustment for the comparable period, as appropriate.

SECTION A. Description of project activity

A.1. General description of project activity 1. Provide a brief summary of the project activity in terms of the purpose of the project activity and the measures taken for GHG emission reductions or net anthropogenic GHG removals.

A.2. Location of project activity 1. Provide details of the physical/geographical location of the project activity, including physical address (host Party, region/state/province, city/town/community, street name and number) and a map, and if necessary, other information allowing for unique identification of the project activity (e.g. geographic coordinates). 2. Do not exceed one page for the description of location.

A.3. Parties and project participants 1. List in the table the Parties and the project participants involved in the project activity.

A.4. Reference to applied methodologies and standardized baselines 1. Indicate the exact reference (number, title, version) of: (a) The applied methodologies or combination of methodologies (e.g. ACM0001: “Large-scale consolidated methodology: Flaring or use of landfill gas” (version 15.0)); (b) Any tools and other methodologies to which the applied methodologies refer (e.g. “Methodological tool: Tool for the demonstration and assessment of additionality” (version 07.0.0)); (c) The applied standardized baselines, where applicable (e.g. ASB0001 “Standardized baseline: Grid emission factor for the Southern African power pool” (version 01.0)). 2. Refer to the UNFCCC CDM website for the exact reference of the applied methodologies, tools and standardized baselines.

A.5. Crediting period type and duration 1. Provide the type (fixed or renewable), and the duration (with the start and end dates in DD/MM/YYYY – DD/MM/YYYY) of the crediting period corresponding to this monitoring period.

Version 06.0 Page 49 of 54 CDM-MR-FORM SECTION B. Implementation of project activity

B.1. Description of implemented project activity 1. Provide information on the implementation status of the project activity in accordance with the applicable provisions on the description of implemented registered CDM project activities in the project standard, including: (a) Description of the installed technology, technical processes and equipment; (b) Information on the implementation and actual operation of the project activity, including relevant dates (e.g. construction, commissioning, start of operation). 2. For the description of the installed technologies, technical processes and equipment, include diagrams, where appropriate. 3. If applicable, present information on any post-registration changes to the project activity in section B.2 below.

B.2. Post-registration changes

B.2.1. Temporary deviations from the registered monitoring plan, applied methodologies or standardized baselines 1. Indicate whether there are temporary deviations from the registered monitoring plan, applied methodologies or standardized baselines during this monitoring period. 2. If there are such deviations, for each deviation, provide a description of the nature, extent and duration of the non-conforming monitoring period, and: (a) Propose alternative monitoring arrangements for the non-conforming monitoring period in accordance with the applicable provisions in the project standard; or (b) Apply the most conservative values approach in accordance with the applicable provisions in the project standard. 3. Provide the version number and the completion date of the DOE verification report.

B.2.2. Corrections 1. Indicate whether there are corrections to project information or parameters fixed at the registration or renewal of crediting period of the project activity. 2. If there are such corrections, list all the corrections since the registration of the project activity, separating them into the following categories: (a) Corrections that have been approved by the Board as applicable from the period prior to this monitoring period; (b) Corrections that have been approved by the Board as applicable from this monitoring period; (c) Corrections that are being submitted with this monitoring report as part of the request for issuance (post-registration change ‒ issuance track) as applicable from this monitoring period. 3. For the corrections referred to in 1(a) and 1(b) above, provide the approval dates and reference numbers of the post-registration changes. 4. For the corrections referred to in 1(c) above, provide the version number and the completion date of the revised PDD and of the DOE validation report.

Version 06.0 Page 50 of 54 CDM-MR-FORM B.2.3. Changes to the start date of the crediting period 1. Indicate whether there are changes to the start date of the crediting period fixed at the registration of the project activity. 2. If there are such changes, list all the changes since the registration of the project activity, separating them into the following categories: (a) Changes that have been approved by the Board or notified to the secretariat and that do not affect the start of this monitoring period (i.e. any of the changed start dates are prior to the start of this monitoring period); (b) Change that has been approved by the Board or notified to the secretariat and that affects the start of this monitoring period (i.e. the changed start date is the start of this monitoring period); (c) Change that affects the start of this monitoring period and is being submitted with this monitoring report as part of the request for issuance (post-registration change ‒ issuance track) and that affects the start of this monitoring period. 3. For the changes referred to in 1(a) and 1(b) above, provide the approval dates and reference numbers of the post-registration changes, or provide the notification date. 4. For the changes referred to in 1(c) above, provide the version number and the completion date of the revised PDD and of the DOE validation report.

B.2.4. Inclusion of monitoring plan 1. Indicate whether there is a post-registration change to include a monitoring plan into the PDD, for which the delayed submission of the monitoring plan was chosen by the project participants at the time of the registration of the project activity. 2. If there is such change, indicate which one of the following categories that the change falls under: (a) Inclusion has been approved by the Board as applicable from the period prior to this monitoring period; (b) Inclusion has been approved by the Board as applicable from this monitoring period (i.e. this is the first monitoring period for the project activity); or (c) Inclusion Is being submitted together with this monitoring report (post-registration change – issuance track) as applicable from this monitoring period. 3. For the case referred to in 1(a) or 1(b) above, provide the approval date and reference number of the post-registration change. 4. For the case referred to in 1(c) above, provide the version number and the completion date of the revised PDD and of the DOE validation report.

B.2.5. Permanent changes to the registered monitoring plan, or permanent deviation of monitoring from the applied methodologies, standardized baselines, or other applied standards or tools 1. Indicate whether there are permanent changes to the registered monitoring plan, or permanent deviation of monitoring from applied methodologies, applied standardized baseline, or other applied standards or tools. 2. If there are such changes, list all the changes since the registration of the project activity, separating them into the following categories: (a) Changes that have been approved by the Board as applicable from the period prior to this monitoring period; (b) Changes that have been approved by the Board as applicable from this monitoring period; (c) Changes that are being submitted with this monitoring report as part of the request for issuance (post-registration change - issuance track) as applicable from this monitoring period. 3. For the changes referred to in 1(a) and 1(b) above, provide the approval dates and reference numbers of the post-registration changes. 4. For the changes referred to in 1(c) above, provide the version number and the completion date of the revised PDD and of the DOE validation report.

Version 06.0 Page 51 of 54 CDM-MR-FORM B.2.6. Changes to project design 1. Indicate whether there are any changes to the project design of the project activity. 2. If there are such changes, list all the changes since the registration of the project activity, separating them into the following categories: (a) Changes that have been approved by the Board as applicable from the period prior to this monitoring period; (b) Changes that have been approved by the Board as applicable from this monitoring period; (c) Changes that are being submitted with this monitoring report as part of the request for issuance (post-registration changes - issuance track) as applicable from this monitoring period. 3. For the changes referred to in 1(a) and 1(b) above, provide the approval dates and reference numbers of the post-registration changes. 4. For the changes referred to in 1(c) above, provide the version number and the completion date of the revised PDD and of the DOE validation report.

SECTION C. Description of monitoring system 1. Provide a description of the monitoring system in accordance with the applicable provisions on the description of monitoring system in the project standard and the monitoring plan in the registered PDD. Include line diagrams showing all relevant monitoring points.

SECTION D. Data and parameters 1. Provide information on all data and parameters in accordance with the applicable provisions on data and parameters in the project standard, using the tables provided in sections D.1 and D.2. 2. For “Purpose of data/parameter” in the tables in D.1 and D.2, choose one of the following options: (a) Calculation of baseline emissions or baseline net GHG removals; (b) Calculation of project emissions or actual net GHG removals; (c) Calculation of leakage. 3. Where the applied standardized baselines standardize baseline emissions, apply the standardized values of the parameters in sections D.1 and/or D.2 in accordance with the applicable provisions related to data and parameters in the project standard.

D.1. Data and parameters fixed ex ante 1. Include data that are fixed at the registration or at the renewal of crediting period of the project activity, and were used during this monitoring period, by replicating the information from the registered PDD. 2. For “Value(s) applied”, use one table to report multiple values referring to the same data and parameter, if applicable.

D.2. Data and parameters monitored 1. Include data and parameters that were monitored during this monitoring period. 2. For “Monitoring equipment” in the table, provide information on type, accuracy class, serial number, calibration frequency, date of last calibration and validity. 3. For “Value(s) of monitored parameter”, use one table to report multiple values referring to the same data and parameter, if applicable. 4. Describe details in spreadsheets if appropriate, attach them to the monitoring report, and provide the reference to the spreadsheets in this section.

D.3. Implementation of sampling plan 1. If a sampling plan was implemented to determine parameter values, provide a description of how the sampling for those parameters was implemented in accordance with the sampling plan in the registered monitoring plan, including the following information: (a) Description of implemented sampling design; (b) Collected data (attach and provide reference to spreadsheets, if necessary); (c) Analysis of the collected data; (d) Demonstration that the required confidence/precision has been met; (e) Demonstration that the samples were randomly selected and are representative of the population. 2. Attach to the monitoring report any spreadsheets to present full calculations or detailed information.

Version 06.0 Page 52 of 54 CDM-MR-FORM SECTION E. Calculation of emission reductions or net anthropogenic removals 1. For the parameter global warming potentials (GWPs), from 1 January 2013, apply the values adopted by decision 4/CMP.7 to calculate GHG emission reductions or net anthropogenic GHG removals achieved in the second commitment period of the Kyoto Protocol in accordance with the applicable provisions in the project standard.

E.1. Calculation of baseline emissions or baseline net removals 1. Provide sample calculations for all formulae used to calculate baseline GHG emissions or baseline net GHG removals, applying actual values. Attach spreadsheets to the monitoring report to present full calculations for this monitoring period.

E.2. Calculation of project emissions or actual net removals 1. Provide sample calculations for all formulae used to calculate project GHG emissions or actual net GHG removals, applying actual values. Attach spreadsheets to the monitoring report to present full calculations for this monitoring period.

E.3. Calculation of leakage emissions 1. Provide sample calculations for all formulae used to calculate leakage GHG emissions, applying actual values. Attach spreadsheets to the monitoring report to present full calculations for this monitoring period.

E.4. Calculation emission reductions or net anthropogenic removals 1. Summarize the results of sections E.1, E.2 and E.3 above, and provide GHG emission reductions or net anthropogenic GHG removals for this monitoring period, using the table. 2. If the monitoring period starts before 1 January 2013 and ends anytime thereafter, provide GHG emission reductions or net anthropogenic GHG removals achieved for the following two periods separately by allocating the raw data into the two periods in accordance with the applicable provisions in the project standard, and multiplying them with the applicable GWPs: (a) Before 1 January 2013 (first commitment period); (b) From 1 January 2013.

E.5. Comparison of emission reductions or net anthropogenic removals achieved with estimates in the registered PDD 1. Provide a comparison of the GHG emission reductions or net anthropogenic GHG removals achieved by the project activity during this monitoring period with the amount based on the ex ante estimation in the registered PDD.

E.6. Remarks on increase in achieved emission reductions 1. State whether the actual GHG emission reductions achieved is greater than the amount based on the ex ante estimation in the registered PDD. If so, explain the cause of any increase in the actual GHG emission reductions achieved by the project activity during this monitoring period, including all information that is different from that stated in the registered PDD. 2. This section is not applicable for afforestation and reforestation (A/R) project activities.

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Document information

Version Date Description

06.0 7 June 2017 Revision to: • Ensure consistency with version 01.0 of the “CDM project standard for project activities” (CDM-EB93-A04-STAN); • Make editorial improvements.

Version 06.0 Page 53 of 54 CDM-MR-FORM Version Date Description 05.1 4 May 2015 Editorial revision to correct version numbering. 05.0 1 April 2015 Revisions to: • Include provisions related to delayed submission of a monitoring plan; • Provisions related to the Host Party; • Remove reference to programme of activities; • Overall editorial improvement. 04.0 25 June 2014 Revisions to: • Include the Attachment: Instructions for filling out the monitoring report form (these instructions supersede the "Guideline: Completing the monitoring report form" (Version 04.0)); • Include provisions related to standardized baselines; • Add contact information on a responsible person(s)/ entity(ies) for completing the CDM-MR-FORM in A.6 and Appendix 1; • Change the reference number from F-CDM-MR to CDM-MR- FORM; • Editorial improvement. 03.2 5 November 2013 Editorial revision to correct table in page 1. 03.1 2 January 2013 Editorial revision to correct table in section E.5. 03.0 3 December 2012 Revision required to introduce a provision on reporting actual emission reductions or net GHG removals by sinks for the period up to 31 December 2012 and the period from 1 January 2013 onwards (EB 70, Annex 11). 02.0 13 March 2012 Revision required to ensure consistency with the "Guidelines for completing the monitoring report form" (EB 66, Annex 20). 01.0 28 May 2010 EB 54, Annex 34. Initial adoption.

Decision Class: Regulatory Document Type: Form Business Function: Issuance Keywords: monitoring report

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