Gold standard for the global goals Monitoring report

June 2017, version 1

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Title of the project EcoMakala Virunga Energy project

Gold Standard project id GS5391

Version number of the monitoring report 2.0

Completion date of the monitoring report 06/05/2020

Date of project design certification 23/01/2018

Start date of crediting period 01/09/2017

Duration of this monitoring period 01/06/2018 to 31/10/2019

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

Project representative(s) CO2logic, Belgium (private entity) Host Country Democratic Republic of Congo

Certification pathway (activity certification/impact certification) Impact certification

SDG Contributions targeted (as per approved 1 - SDG 1, No poverty PDD) 2 - SDG 3, Good health and well-being 3 - SDG 4, Quality Education 4 - SDG 7, Affordable and clean energy 5 - SDG 8, Decent work and economic growth 6 - SDG 13, Climate Action Gold Standard statement/product certification sought (GSVER/ADALYs/RECs etc.) GSVER

Selected methodology(ies) Gold Standard Methodology: Technologies and practices to displace decentralized thermal energy consumption (TPDDTEC), Version 2.0 AMS-III.BG: Emission reduction through sustainable charcoal production and consumption , Version 3.0 Estimated amount of annual average certified SDG impact (as per approved PDD) 165,190 VERs1

Total amount of certified SDG impact (as per approved methodology) achieved in this 26,313 VERs monitoring period

1 The annual amount of 116,605 tCO2e stated in the registered PDD was extrapolated to the length of the monitoring period, namely 17 months.

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SECTION A. Description of project

A.1. Purpose and general description of project

Since more than two decades, the World Wide Fund for Nature (WWF) promotes various activities in North Kivu 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 EcoMakala2 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) 3 , (iii) production and dissemination of improved cookstoves (ICS) to households4 5. 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 Goma, Butembo and Beni. 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 benefits6 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 do not rely affordable 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 cookstoves may Transfer 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.

2 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. 3 This activity is further on in the MR referred to as ‘sustainable charcoal production/consumption component’ 4 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. 5 This activity is further on in the MR referred to as ‘Improved cookstove component’ 6 The list of SD benefits is not exhaustive. For more details to the SD impacts, see section D.2 of the MR.

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A.2. Location of project 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, Rutshuru, 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.

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City of Goma City of Beni City of Butembo COMMUNE QUARTIER COMMUNE QUARTIER COMMUNE QUARTIER KARISIMBI BUJOVU BUNGULU MABOLIO BULENGERA MUTIRI KAHEMBE CITE BELGE KIMBULU KASIKA KANZULINZULI MUKUNA KATOYI RESIDENTIEL RUGHENDA MABANGA KALEMIRE BEU BENENGULE NORD MALEPE KIMEMI COMMERCIAL MABANGA BIONDI BUTANUKA SUD BIAUTU LUMUMBA MAJENGO RWENZORI KASABINYOLE BWINYOLE MIKENO PAIDA VUTETSE MUGUNGA BOIKENE MUSUSA VUNGI MURARA MABAKANGA KITULU NDOSHO MULEKERA MATONGE MATANDA VIRUNGA TAMENDE KATWA GOMA LAC VERT NGONGOLIO VULAMBA KAMBALI CONGO YA HIMBI MASIANI MAPENDO KALINDA SIKA KATINDO BUTSILI LES VOLCANS 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 comprise 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) too7. 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’8, the charcoal produced from biomass coming from dedicated plantations.

7 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. 8 See the leaflet (‘depliant’) handed out to each end-user when buying the ICS which recommends the use of ‘EcoMakala’.

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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. Reference of applied methodology

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 -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.4. Crediting period of project >> (Provide start date and length of the crediting period as given in approved PDD.) Type: Renewable crediting period Start and end date: 01/09/2017 to 31/08/2024 Length: 7 years (renewable twice)

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SECTION B. Implementation of project

B.1. Description of implemented project >> (Provide information on the implementation status of the project during this monitoring period. Specify any deviations / delays compared to information in approved project.)

During this MP 1,086 ICS have been sold through direct sales and 997 through retailers.9 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).

Photo : Jiko Nguvu Nyeusi in usage Photo : Jiko Goma Stove in usage I In terms of sustainable charcoal production, 1,259 tons are accounted for in this MP.10 This figure is based on the quantity of charcoal produced from biomass coming from eligible plantations using improved charcoal technology. Charcoal production records are kept at cooperative level. Charcoal produced from biomass coming from non-eligible plantations and/or produced with traditional technology has not been taken into account into the ER calculation.

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

9 See document « GS5391_Goma_MP2_201806-201910_Sales records ICS » 10 This value is further deducted by 5% to account for any possible inaccuracy resulting from the use of mechanical spring scales used for weighing the charcoal.

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B.2. Post-registration changes

B.2.1. Temporary deviations from Certified Key Project Information, Project Design Document, Monitoring & Reporting Plan, applied methodology or applied standardized baseline Not applicable

B.2.2. Corrections Not applicable

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

B.2.4. Permanent changes from registered monitoring plan, applied methodology or applied standardized baseline The registered monitoring plan mentions that only stoves with an age of up to 2 years will be credited. The project developer requests a permanent change from the registered monitoring plan, also crediting stoves beyond 2 years lifetime.

B.2.5. Changes to project design of approved project >> (Indicate whether any changes to the design of the project have been approved by GS-TAC that is relevant for this monitoring period.)

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.

SECTION C. Description of monitoring system applied by the project >>

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 scales11) 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, etc12. 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;

11 Model of scale is ” Nops 100kg Spring Hanging scale (ZY-006)”: see document « Product description Scale Nops ZY- 006 » 12 See document “200206_Ecomakala database including sampling for charcoal survey.xlsx”

Page 9 of 45 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 1,259.59 t of charcoal produced from biomass coming from eligible plantations and charcoal producers using improved/semi-improved technology has been registered through 4 cooperatives (3 in Masisi and one in Lubero. This value is further deducted by 5% to account for any possible inaccuracy resulting from the use of mechanical spring scales used for weighing the charcoal 13 . The final quantity of sustainable charcoal production for which carbon credits will be claimed is 1,196.61 t. Production 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 occasions14. The data manager conducts data quality checks in order to guarantee consistency in the data.

A survey with 109 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; • 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 survey15, 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. The survey further hat biomass being part of the plantation is not burned during the exploitation (e.g. burning the remaining biomass after harvesting the trees). Though 2 amongst the 109 randomly selected planters confirmed to have shifted some agricultural activities outside of their plantations, they also confirmed that this shift of activities did not result in any deforestation of trees. Hence, the survey confirmed that there is no leakage due to the shift of activities. 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 possible16. Data are automatically transferred to a

13 See document « Rapport Callibrage de Balance Masisi_20180927 » from 1st verification. 14 See document « 20180320_Rapport de la formation ODK » 15 See survey results in document « 200204_Survey with planters_2nd issuance » 16 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.

Page 10 of 45 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 1,086 ICS have been sold through direct sales and 996 through retailers, which corresponds to an average monthly sales volume of around 120 ICS. It is assumed that ICS sold through direct sales are in usage 1 week after sales date and hence will generate credits. In case of stoves sold through retailers, a conservative average shelf time of ICS sold in stores has been calculated (see excel spreadsheet “GS5391_Goma_MP2_201806-201910_Sales records ICS”/worksheet “Reseller analysis”. All sales records are located within the project boundary described in section A.2. All sales have been realized for end-users located in the city of Goma. Credits are claimed for both ICS sold during this 2nd monitoring period as well as for those stoves which were sold during the previous, first monitoring period. No credits are claimed for ICS sold in the cities of Beni and Butembo for this 2nd monitoring period.

Usage survey: An annual usage survey determines the drop off rates as project technologies age and users switch back to the baseline technology17. 120 randomly selected households in Goma town18 have been sampled from 22/12/2019 to 04/01/2020. Since three age groups are involved in this 2nd monitoring period. The requirements of 30 samples per age group and the weighting of the usage parameter according to age groups has been taken into account (see GS5391_Goma_MSU_MP2/worksheet “Report”. 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 same surveyors as for the 1st usage/monitoring survey have been used to conduct the usage/monitoring survey. Those surveyors were previously trained by the carbon consultant on how to conduct the monitoring/usage surveys.19 According to the results of the survey 90% of the households have only one project ICS, whereas 9% two project ICS and 1% three project ICS. These figures have been taken into consideration when determining the number of technology days for the calculation of carbon credits. The utilization rate is determined to be 89%. 11% of the surveyed households were classified as non-users: Amongst them, some of the surveyed households didn’t have any indication of active usage of the project ICS and some of the 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_Goma_MSU_MP2”. The condition of the surveyed ICS can be consulted in document «GS5391_MS_Pictures_MP2». Besides the 120 households surveyed in the usage and monitoring survey, 57 additional households have been surveyed from 30/12/2019 to 12/01/2020 20 in terms of ICS benefits and end-user awareness. The consolidated result of the 177 households on the ICS benefits and end-user awareness are presented in document “GS5391_Goma_MS_Awareness_Consolidated_MP2”. 96% of the surveyed respondents replied that they have the feeling to be sufficiently informed about the ICS benefits. The survey also shows that 92%

17 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. 18 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 2nd monitoring period. 19 The document “GS5391_Usage survey guidelines and instructions_EcoMakala_MP2” 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 ‘20191210_TRAINING PROTOCOL FOR SURVEYORS usage_monitoring survey_MP2’ illustrates the training provided to surveyors’ prior conducting the usage/monitoring survey with “Liste de presence_formation enquêteur 20191210” as presence list. 20 See document «GS5391_Goma_MP2_201806-201910_Sampling_frame» for the determination of the sample of 60 households and document “GS5391_Goma_MS_Awareness_MP2_20200204_v1.0.” for the result of the survey of the sample of 57 households.

Page 11 of 45 of the respondents replied that they have the feeling to be sufficiently informed/trained on how to use the ICS. Monitoring survey: Along with the usage survey, a monitoring survey of those households currently using the ICS has been carried out from 22/12/2019 to 04/01/2020 to assess end-user characteristics such as technology use, fuel consumption and seasonal variation. 113 out of 120 households participating in the usage survey have been finally included in the monitoring survey. ODK technology has been used for data collection. According to the monitoring survey results, all respondents use their project ICS only for domestic purposes, except one household. The household using the ICS for commercial purposes only was considered as a non-user.

A leakage assessment has been conducted as per the following during this monitoring period. Since a leakage assessment is required every 2 years as per the applied methodology TPDDTEC (see Annex 5 of the methodology).

Leakage from Yes/No Justification a) The displaced baseline technologies are No The displaced baseline stoves’ (traditional reused outside the project boundary in stoves and ICS copies) efficiency is at the place of lower emitting technology or in a lower end. It is highly unlikely that manner suggesting more usage than would households outside the project boundaries have occurred in the absence of the who may have obtained a more efficient project. stove or other lower emitting technologies (like e.g. gas) would go back to the use of traditional stoves or ICS copies. In the usage/monitoring survey end-users confirmed the positive impacts of the project stove, like less charcoal consumption and health benefits. Hence, it can be excluded that they would forego those positive impacts by switching back to a traditional stove or ICS copy. b) Non-project users who previously used No Project users have to spend money for the lower emitting energy sources use the non- charcoal. It can be excluded that the fuel renewable biomass or fossil fuels saved saved by the project would be given for under the project activity. free by the project users and used by non- project users who previously used lower emitting energy sources. c) The project significantly impacts the NRB No As the charcoal is produced from biomass in fraction within an area where other CDM the project area, it is not expected that the or VER project activities account for NRB NRB in other areas will be affected. There fraction in their baseline scenario. is no known CDM or VER project in the project area. Thus, it is unlikely that the project significantly affects another CDM or VER project activity for its NRB fraction. d) The project population compensates for No Only 3.5% of the surveyed households loss of the space heating effect of indicated to use the project stove for space inefficient technology by adopting some heating. Amongst those 3.5%, 43% other form of heating or by retaining some indicated to do more space heating after use of inefficient technology the purchase of the project stove. This is equivalent to 1.5% of all surveyed households, which can be considered as significant. Further, any potential increase of charcoal consumption for space heating would have been captured through the project KPT. e) By virtue of promotion and marketing No The baseline surveys showed that end-users of a new technology with high efficiency, in the baseline use traditional stoves and the project stimulates substitution within ICS copies which are less efficient, i.e. with

Page 12 of 45 households who commonly used a higher emissions than the project ICS. Hence, technology with relatively lower emissions, it is highly unlikely that the project stimulates in cases where such a trend is not eligible substitution within households who commonly as an evolving baseline. used a technology with relatively lower emissions. In the usage/monitoring survey end-users confirmed the positive impacts of the project stove, like less charcoal consumption and health benefits. Hence, it can be excluded that they would forego those positive impacts by switching back to a traditional stove or ICS copy.

Project Kitchen Performance Tests (KPT): For this 2nd monitoring period no new KPT has been conducted. Since the KPT conducted for the 1st monitoring period is still valid. Hence, the following information related to the KPT is the same as the one which has been already provided at the final approved monitoring report for the 1st monitoring period. KPTs with 85 randomly selected households using ICS have been carried out from 08/05/2018 to 15/06/2018 in Goma town21. 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 conducted 22 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 a project KPT prior to the 3rd monitoring period 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. 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 rule23, which is in line with

21 No carbon credits will be claimed for ICS sold in Beni and Butembo towns, hence no project KPTs have been conducted in those towns. 22 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. 23 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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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_MP2».

SECTION D. Data and parameters

D.1. Data and parameters fixed ex ante or at renewal of crediting period (Copy this table for each piece of data and parameter) Sustainable charcoal production/consumption component

Relevant SDG Indicator SDG 13, Climate action Data/parameter CF Unit - Description Default wood to charcoal conversion factor Source of data IPCC Value(s) applied 6 Choice of data or A factor of 6 kg of firewood (wet basis) per kg of charcoal (dry basis). Measurement methods and procedures Purpose of data ER calculation Additional comment Refer to: . The term ‘wet basis’ assumes that the wood is ‘air-dried’ as is specified in the IPCC default table

Relevant SDG Indicator SDG 13, Climate action

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 Choice of data or Use a default value of 0.0156 TJ/t based on the gross weight of the wood that Measurement methods is ‘air-dried’ and procedures Purpose of data ER calculation Additional comment -

Relevant SDG Indicator SDG 13, Climate action

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 Choice of data or Default value provided in section 1 in appendix 1 Measurement methods and procedures Purpose of data ER calculation

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Additional comment -

Relevant SDG Indicator SDG 13, Climate action

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

Relevant SDG Indicator SDG 13, Climate action

Data/parameter fNRBi,y Unit % Description Non-renewability status of woody biomass fuel in scenario i during year y Source of data Default value (see: https://cdm.unfccc.int/DNA/fNRB/index.html) Value(s) applied 90

Choice of data or fNRB assessment based on CDM EB Report 67, Annex 22 Measurement methods 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, 2017 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, 2017 and the project documentation for PFA review has been uploaded in the week starting 12/06/2017.

Relevant SDG Indicator SDG 13, Climate action

Data/parameter PEFF,y Unit tCO2 Description Project emissions due to fossil fuel consumption in charcoal production facilities in year y Source of data Project documentation (see PDD) Value(s) applied 0

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Choice of data or None of the charcoal production facilities use fossil fuels or electricity. The Measurement methods improved charcoal production facilities and carbonization process are designed and procedures in such a way that no fossil fuel or electricity consumption is necessary. Charcoal production is not mechanised and takes place in continuously changing decentralised locations in rural areas with no electricity access. None of the equipment’s involve electricity or fossil fuel use. Hence, no monitoring of fossil fuel and electricity consumption charcoal production facilities is necessary. Purpose of data ER calculation Additional comment -

Relevant SDG Indicator SDG 13, Climate action

Data/parameter PEEl,y Unit tCO2 Description Project emissions due to electricity consumption in charcoal production facilities in year y Source of data Project documentation (see PDD) Value(s) applied 0 Choice of data or None of the charcoal production facilities use fossil fuels or electricity. The Measurement methods improved charcoal production facilities and carbonization process are designed and procedures in such a way that no fossil fuel or electricity consumption is necessary. Charcoal production is not mechanised and takes place in continuously changing decentralised locations in rural areas with no electricity access. None of the equipment’s involve electricity or fossil fuel use. Hence, no monitoring of fossil fuel and electricity consumption charcoal production facilities is necessary. Purpose of data ER calculation Additional comment -

Relevant SDG Indicator SDG 13, Climate action

Data/parameter PESOC,y Unit tCO2 Description Emissions resulting from loss of soil organic carbon Source of data Project documentation (see PDD) Value(s) applied 0 Choice of data or The PP has demonstrated as part of the A/R EcoMakala Virunga Reforestation Measurement methods project that there is no loss of soil organic carbon, but on the contrary SOC and procedures sequestration occurs. Hence, it is confirmed that there are no project emissions from loss of soil organic carbon. Hence, no monitoring of emissions resulting from loss of soil organic carbon is necessary. Purpose of data ER calculation Additional comment -

Relevant SDG Indicator SDG 13, Climate action 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

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Value(s) applied 0 Choice of data or Measurement methods and procedures Purpose of data Potential leakage calculation Additional comment -

Relevant SDG Indicator SDG 13, Climate action

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

Relevant SDG Indicator SDG 13, Climate action

Data/parameter EFSA,i Unit tCO2/t Description Emission factor for CO2 emissions from application of soil amendment 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) Choice of data or Default values of 0.12 (limestone), 0.13 (dolomite), 0.20 (urea) shall be used Measurement methods and procedures Purpose of data Project emissions resulting from soil amendment (liming) Additional comment

Improved cookstove component

Relevant SDG Indicator SDG 13, Climate action

Data/parameter EFb,CO2

Unit tCO2/TJ Description CO2 emission factor arising from use of charcoal in baseline scenario Source of data 2006 IPCC Guidelines for National Greenhouse Gas Inventories, volume 2, chapter 2 (Table 2.5) Value(s) applied 112 Choice of data or Default IPCC value for charcoal is applied. Measurement methods and procedures

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Purpose of data CO2 Emission calculation in baseline

Additional comment If EF is in units of tCO2/t_fuel, remove NCV term from emission calculations. Term can include a combination of emission factors from fuel production, transport, and use.

Relevant SDG Indicator SDG 13, Climate action

Data/parameter EFb,non-CO2

Unit tCO2e/TJ Description Non-CO2 emission factor arising from use of charcoal in baseline scenario Source of data 2006 IPCC Guidelines for National Greenhouse Gas Inventories, volume 2, chapter 2 (Table 2.9)

Value(s) applied 8.2625 tCO2e/TJ for methane and 1.6241 tCO2e/TJ for N2O

CH4 = 0.3305 tCH4/TJ * 25 (GWP) N2O = 0.00545 tN2O/TJ * 298 (GWP)

Choice of data or CH4: PP used the average of the range of 275 – 386 kg/TJ indicated for Measurement methods charcoal stoves on Table 2.9, volume 2, chapter 2, 2006 IPCC Guidelines for and procedures National Greenhouse Gas Inventories 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

Additional comment If EF is in units of tCO2/t_fuel, remove NCV term from emission calculations. Term can include a combination of emission factors from fuel production, transport, and use.

Relevant SDG Indicator SDG 13, Climate action

Data/parameter EFp,CO2

Unit tCO2/TJ

Description CO2 emission factor arising from use of charcoal in project scenario Source of data 2006 IPCC Guidelines for National Greenhouse Gas Inventories, volume 2, chapter 2 (Table 2.5) Value(s) applied 112 Choice of data or Default IPCC value for charcoal is applied. Measurement methods and procedures

Purpose of data CO2 emission calculation in project scenario

Additional comment If EF is in units of tCO2/t_fuel, remove NCV term from emission calculations. Term can include a combination of emission factors from fuel production, transport, and use.

Relevant SDG Indicator SDG 13, Climate action

Data/parameter EFp,non-CO2

Unit tCO2e/TJ

Description Non-CO2 emission factor arising from use of charcoal in project scenario

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Source of data 2006 IPCC Guidelines for National Greenhouse Gas Inventories, volume 2, chapter 2 (Table 2.9)

Value(s) applied 8.2625 tCO2e/TJ for methane 1.6241 tCO2e/TJ for N2O

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

Additional comment If EF is in units of tCO2/t fuel, remove NCV term from emission calculations. Term can include a combination of emission factors from fuel production, transport, and use.

Relevant SDG Indicator SDG 13, Climate action Data/parameter EFch,prod,CO2

Unit tCO2/ton charcoal

Description CO2 emission factor arising from production of charcoal Source of data 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. Value(s) applied 1.802 Choice of data or There are no IPCC default values available. Therefore, scenario-specific values Measurement methods are applied. The published emission factors in use here are found in Table 6A of and procedures “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”. See http://ehsdiv.sph.berkeley.edu/krsmith/publications/JGRPennise.pdf Purpose of data CO2 emission calculation in baseline and project scenario Additional comment As per ‘Consolidated GHG database for the charcoal sector’ (https://www.google.com/url?q=https://cdm.unfccc.int/methodologies/standar d_base/GHDdatabase.xls&sa=U&ved=0ahUKEwj1kKms84_LAhXMV44KHWo- 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.

Relevant SDG Indicator SDG 13, Climate action

Data/parameter EFch,prod,non-CO2

Unit tCO2/ton of charcoal

Description Non-CO2 emission factor arising from production of charcoal

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Source of data 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

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. Value(s) applied 0.7375 tCO2e/ton of charcoal for methane 0.0447 tCO2e/ton of charcoal for N2O

Choice of data or There are no IPCC default values available for N2O. Therefore, scenario- Measurement methods specific values are applied. The published emission factors in use here are and procedures found in 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”. See http://ehsdiv.sph.berkeley.edu/krsmith/publications/JGRPennise.pdf

Purpose of data CO2 emission calculation in baseline and project scenario Additional comment 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 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.

Relevant SDG Indicator SDG 13, Climate action

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 Choice of data or Default IPCC value for charcoal is applied. Measurement methods and procedures

Purpose of data CO2 emission calculation in baseline scenario Additional comment -

Relevant SDG Indicator SDG 13, Climate action

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 Choice of data or Default IPCC values for charcoal is applied. Measurement methods and procedures

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Purpose of data CO2 emission calculation in project scenario Additional comment -

Relevant SDG Indicator SDG 13, Climate action

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 Choice of data or fNRB assessment based on CDM EB Report 67, Annex 22 Measurement methods 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, 201724 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, 201725 and the project documentation for PFA review has been uploaded in the week starting 12/06/2017.

Relevant SDG Indicator SDG 13, Climate action

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 1.357 (Baseline KPT Goma) Choice of data or Determined through baseline KPTs in Goma, Butembo and Beni. The value of Measurement methods 1.357 is based on the baseline KPT results from Goma. The baseline KPT results and procedures for Butembo and Beni will be presented to DOE at the time of 1st 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)

D.2. Data and parameters monitored Relevant SDG SDG 1, No poverty Indicator/Safeguarding Principle

24 The Email exchange with the GS secretariat has been uploaded to the GS registry : ‘FW_ GS5391 'EcoMakala Virunga Energy project'_ fNRB DRC’ 25 The DOE contract has been uploaded to the GS registry : ‘GS5391 EcoMakala Energy - Validation - DOE contract - KBS – Signed’

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Data / Parameter Parameter#1: Increase in revenue for the charcoal producers thanks to improved technology Parameter#2: Money spent for purchasing charcoal Unit Fraction Description Parameter#1: Fraction of charcoal producers perceiving change in productivity of charcoal production and revenue since the start of the project Parameter#2: Fraction of stove users spending less amount of fuel and hence less money than before Source of data Surveys

Supporting materials: - “2020204_Enquete_charbonier_results.xlsx”/ worksheet “Analysis” question 16, question 17 and question 18; - « GS5391_Goma_MSU_MP2 »: worksheet “Report” question 63, question 65 and question 66; Value(s) of monitored Parameter#1: All 20 surveyed charcoal producers have confirmed during the parameter survey an increased productivity using improved charcoal technology and hence revenue increase. Three quarter of the respondents have mentioned that revenues have increased by more than 50%, while 15% and 10% still indicate an increase of 50% and between 25 to 50% respectively. Revenues are mostly spent for family needs and education. Parameter#2: 94% of surveyed stove users use less amount of fuel than before whereas 6% use the same amount. The amount of money for the purchase of fuel saved since the usage of the project ICS can differ: (i) no difference: 6%; (ii) less than 25%: 36%; (iii) between 25% to 50%: 53%; and (iv) 50%: 4%. When asking what stove users do with the saved money 5% spend it for income generating activities, 82% for family and 12% for education. Measurement methods Parameter#1: Surveys on a randomly selected group of 20 charcoal producers and procedures asking for the perceived change in productivity of charcoal production and revenue. Parameter#2: more than 100 stove users in the city of Goma have been asked whether the project activity results in savings for households in regard to charcoal purchase.

Monitoring frequency Parameter#1: Biennially Parameter#2: Annually QA/QC procedures The data has been analysed in the survey reports and raw data of the surveys are made available for review. Purpose of data Calculation of parameter#1 “Increase in revenue for the charcoal producers thanks to improved technology” Calculation of parameter#2 “Money spent for purchasing charcoal” Additional comment -

Relevant SDG SDG 3, Good health and well-being Indicator/Safeguarding Principle Data / Parameter Parameter#1: Perceived change in health by the charcoal producers Parameter#2: Perceived change in health by the ICS users Unit Fraction

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Description Parameter#1: Fraction of charcoal producers perceiving change in health since the start of the project Parameter#2: Fraction of ICS users perceiving change in health since the start of the project Source of data Surveys on a sample group of ICS users and charcoal producers asking for the perceived change in presence of smoke and impacts on health and well-being.

Supporting documents: - “2020204_Enquete_charbonier_results.xlsx”/ worksheet “Analysis”, questions 19 and 20; - « GS5391_Goma_MSU_MP2 »: worksheet “Report” question 67 and question 68; Value(s) of monitored Parameter#1: All 20 surveyed charcoal producers have confirmed during the parameter survey that they perceive less smoke when using the improved carbonisation technology compared with the traditional technology. Three quarters have reported that the improved technology results in a positive health impact. 25% informed besides health benefits in general as well about less coughing, less eye irritation and less headache. Parameter#2: 100% of surveyed stove users think that the project stove produces less smoke than the stove they used before. In addition, 59% of surveyed stove users notice less coughing, 17% less eye irritation/itchy eyes from smoke, 32% less headache and 42% improvement of health conditions of cook and children. Measurement methods The measurement of the parameter is based on qualitative information and procedures collected during surveys. Monitoring frequency Parameter#1: biennially Parameter#2: annually QA/QC procedures The data collected during surveys have been analysed in survey reports and raw data of the surveys are made available for review. Purpose of data Caluclation of the parameters “Perceived change in health by the charcoal producers” and “Perceived change in health by the ICS users” Additional comment -

Relevant SDG SDG 4, Quality Education Indicator/Safeguarding Principle Data / Parameter Parameter#1: Number of training sessions provided to charcoal producers, cooperatives, local ICS producer and sales associations and resellers Parameter#2: Number of awareness raising campaigns Unit - Description Parameter#1: Number of training sessions provided to charcoal producers, cooperatives, local ICS producer and sales associations and resellers to ensure that the technical capacities of the work staff deliver the necessary quality of products and services. Parameter#2: Number of awareness raising campaigns organized to inform on the ICS and sustainable charcoal EcoMakala benefits, its usage and possible positive impacts on both households and environment

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Source of data Reports regarding the training initiatives and awareness raising campaigns

Supporting materials:

Parameter#1: - « 20191004_Rapport de formation_Charbonnier collecte de données_with comments » ; - « 20191004_Liste de présence_1_Charbonnier collecte de données » ; - « 20191004_Liste de présence_2_Charbonnier collecte de données » ; - « 201906- 07_Rapport_formation_techniques_améliorées_carbonnisation_Ex- combattants_with comments » ; - « Picture_Training_Charcoal producers »

Parameter#2: - “Gomastove_Facture_Spot TV Radio_201812” - “Gomastove_Facture_Spot TV Radio_201901” - “Gomastove_Facture_Spot TV Radio_201903” - “Gomastove_Contrat_Comédien_Media_201809” - “Rapport_Gomastove_ Sensibilisation FA et EcoMakala_with comments”

Value(s) of monitored Parameter#1: The following trainings have been realized during the monitoring parameter period: - 63 charcoal producers (of which 3 women) have been trained during 5 training sessions on data collection of charcoal production: (i) 15 charcoal producers in Bweremana on the 4th of September 2019 in the territory of Masisi; (ii) 15 charcoal producers in Kitshanga on the 14th of September 2019 in the territory of Lubero; (iii) 10 charcoal producers in Kirumba on the 21st of September 2019 in the territory of Lubero; (iv) 11 charcoal producers (of which 2 women) in Kiwanja on the 29th of October 2019 in the territory of Rutshuru; and (v) 9 charcoal producers (of which 1 women) in Lubero Centre on the 31st of October 2019 in the territory of Lubero; - 75 charcoal producers (of which 50 women and 25 ex-rebel fighters) have been trained during a training session of 33 days from June 2019 till July 2019 in improved carbonization technology in the territory of Masisi;

Parameter#2: Two types of awareness campaigns in the city of Goma have been organized: - Broadcast of sustainable charcoal EcoMakala commercials on television between December 2018 and March 2019; - More than 5 sensitization workshops for agents of different organizations, churches and public enterprises explaining the benefits of the ICS for households and environment;

Measurement methods Evidence of such trainings and/or awareness raising campaigns may include and procedures e.g. participants lists, reports, photos or any other appropriate evidence. Monitoring frequency Annually QA/QC procedures The data has been analysed in the reports regarding the training and awareness raising campaign initiatives, which will be made available for review.

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Purpose of data Calculation of the parameter “Number of training sessions provided to charcoal producers, cooperatives, local ICS producer and sales associations and resellers” and “ Number of awareness raising campaigns” Additional comment -

Relevant SDG SDG 7, Affordable and clean energy Indicator/Safeguarding Principle Data / Parameter Parameter #1: Number of ICS in use Parameter #2: Quantity of produced renewable charcoal (EcoMakala) Unit Parameter #1: - Parameter #2: t Description Parameter #1: Number of ICS produced and sold through the project and still in use Parameter #2: Quantity of charcoal production using renewable biomass and efficient charcoal production technologies Source of data Parameter #1: Database of ICS sales records and usage survey Supporting document: - “GS5391_Goma_MP2_201806-201910_Sales records” worksheet Summary Parameter #2: Database of EcoMakala production

Supporting document: - “200204_Ecomakala database including sampling for charcoal survey.xlsx”, worksheet Analysis carbon Value(s) of monitored Parameter#1: 4,275 ICS parameter Parameter#2: 1,259.59 t charcoal produced Measurement methods Parameter#1: The database of sales records provides the number of ICS which and procedures has been sold to stove users and the usage survey provides information on the usage rate. Parameter#2: The database provides the total quantity of renewable charcoal (produced with efficient charcoal production technologies). Monitoring frequency Annually QA/QC procedures The quality of the recorded data registered in the databases is checked by the carbon consultant. Scales used for weighing the EcoMakala charcoal are calibrated. QA/QC procedures regarding the usage survey of ICS are put in place according the applied methodology. Purpose of data Calculation of the parameters “Number of ICS in use” and “Quantity of produced renewable charcoal (EcoMakala)” Additional comment -

Relevant SDG SDG 8, Decent work and economic growth Indicator/Safeguarding Principle Data / Parameter Number of jobs created Unit - Description Number of jobs created due to the project activity with salaries/wages at par or better than the average local/sector wage level

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Source of data Payrolls, contracts or any other appropriate evidence

Supporting documents: - « Feuille de paie Genthy MUNGANGA_201806-201812 » and “ Feuille de paie Genthy MUNGANGA_201901-201910”: payroll of responsible person for community aspects; - « Feuille de paie Consolée KAVIRA_201806-201812 » and « Feuille de paie Consolée KAVIRA_201901-201910 » : payroll of project manager; - « Gomastove_Paiement salaires_201807-08 / 201905-10»: examples of payments of salaries for staff of Gomastove; - « Gomastove_Prime Interim CEO_201808 » : bonus for ad interim CEO of Gomastove; - « Reprofca_Examples de paiement_201808 »: examples of payments of 20 artisans of Reprofca Value(s) of monitored 1 person responsible for community aspects and 1 project manager parameter Goma Stove Sarl: 4 Reprofca: 20 artisans One-time contracts Gomastove: 2 Measurement methods Payrolls, contracts or any other appropriate evidence will allow monitoring and procedures quantitatively local employment and income generated. Monitoring frequency Annually QA/QC procedures The data is analysed and made available for review. Purpose of data Calculation of the parameter “Number of jobs created” Additional comment -

Relevant SDG Social & Economic Safeguarding Principles - 3. Community Health, Safety Indicator/Safeguarding and Working Conditions Principle Data / Parameter Number of PPE kits provided to charcoal producers and ICS workshop staff Unit - Description Number of PPE kits provided to charcoal producers and ICS workshop staff Source of data Evidence of the provision and use of PPE may include e.g. invoices for purchase of PPE, receipts signed by workshop staff and charcoal producers, photos, on- site inspections or any other appropriate evidence.

Supporting materials: - “Facture_Kit charbonniers_2019”: invoice for the purchase of charcoal PPE kits and equipment for charcoal production; - « Picture_Training_Charcoal producers » : pictures of trainees wearing the PPE kits; - “Facture_Kit de protection_Atelier Foyers_2019 » : invoice for the purchase of PPE kits for artisan in ICS workshop; Value(s) of monitored 75 PPE kits (including a set of protective gloves, protective mask, overall, pair parameter of boots and safety helmet) have been provided to charcoal producers in the territory of Masisi during their training session held from June till July 2019. 20 PPE kits have been provided to ICS workshop staff in May 2019; Measurement methods Collecting evidences of purchase of the PPE kits and usage by workshop staff and procedures and charcoal producers Monitoring frequency Annually QA/QC procedures The data regarding evidences of provision of PPE kits has been analysed and is made available for review.

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Purpose of data Calculation of the parameter “Number of PPE kits provided to ICS workshop staff and charcoal producers” Additional comment -

Sustainable charcoal production/consumption component

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

Data / Parameter QCCP,i,y Unit Tonnes Description Produced quantity of charcoal product i in year y Measured/calculated/ Measured default Source of data Charcoal production records Supporting material: “Ecomakala database and sampling charcoal survey” Value(s) of monitored Produced quantity: parameter Year 2018: 601.50 t Year 2019: 595.12 t Measurement methods Scale/Balance (Nops 100 kg Spring Hanging Scale ZY-00626) and procedures Monitoring frequency Continuously QA/QC procedures The produced quantities of charcoal have been cross-checked with the quantities sold to end-consumers, distributors and depot (Goma Stove). Only around one third of the sales to end-consumers, distributors and depot (Goma Stove) have been monitored. Monitoring of sales is challenging as described in footnote 83 of the PDD. Since the methodology does not require the monitoring of the quantity of charcoal sales, but ER calculation is based on the produced charcoal quantity, project developer is in line with the methodology requirements. Purpose of data ER calculation Additional comment The produced quantity has been reduced by 5% in order to account for possible inaccuracy of the weighing scales used for weighing the produced charcoal. The 5% are based on the calibration results based on a calibration carried out in February 2020 (see document “EcoMakala_Energy_Rapport Calibrage 2020_MP2_wc”).

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle 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)

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

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Value(s) of monitored 0.0295 parameter Measurement methods N/A and procedures Monitoring frequency No monitoring in case of option 1 of Appendix (equation 1) QA/QC procedures N/A Purpose of data ER calculation

Additional comment In case of using option 1 of Appendix in AMS-III.BG (equation 1), NCVcharcoal,i will not be monitored but instead the deemed value of 29.5 GJ/tonne will be applied. All charcoal will be produced from purely woody source of biomass it is justified to apply this default value.

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle 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 Measurement methods N/A and procedures Monitoring frequency N/A since default value is being applied QA/QC procedures Please note that a cross-check of applied quantities with purchase receipts and inventory as proposed by the methodology is difficult since 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 Calculation of project emissions resulting from soil fertilization and management for biomass cultivation Additional comment Nitrogen applied through the following methods shall be added up to arrive at this value: (i) synthetic fertilisers; (ii) organic manure; (iii) return of the residues or cover crops

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

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

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Value(s) of monitored 0 parameter Measurement methods GPS land area measurement and procedures A survey with 109 randomly selected growers (planters) has be conducted to check on the utilization of synthetic fertilisers, organic manure and/or nitrogen fixing cover crops. The area on which nitrogen is applied is set in relation to the total area included in the survey and the calculated proportion (%) of areas subjected to nitrogen application will be extrapolated to the overall population to get the % of area of land which is subjected to soil fertilization and management. Monitoring frequency Annual QA/QC procedures GPS land area measurements are widely recognized in DRC Purpose of data Calculation of project emissions resulting from soil fertilization and management for biomass cultivation Additional comment 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 109 randomly selected growers (planters) has been conducted to check on the utilization of synthetic fertilisers, organic 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 « “200204_Survey with planters_2nd issuance.xlsx” Question 1.

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

Data / Parameter qSA,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 Measurement methods A survey with 109 randomly selected growers (planters) has been conducted to and procedures check on the utilization and rate of soil amendment agents. The results are extrapolated to the whole population. Monitoring frequency Annual QA/QC procedures Please note that a cross-check of applied quantities with purchase receipts and inventory as proposed by the methodology is difficult since purchase of soil amendment agents (if any) would be handled by growers themselves, hence record keeping beyond control of PP. Purpose of data Calculation of project emissions resulting from soil amendment (liming) for biomass cultivation

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Additional comment A survey with 109 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 zero. For more details, please see excel spreadsheet « “200204_Survey with planters_2nd issuance.xlsx”, Question 4.

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

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 Measurement methods GPS land area measurement and procedures A survey with 109 randomly selected growers (planters) has been conducted to check on the utilization of soil amendment agents. The area on which soil amendment agents are applied is set in relation to the total area included in the survey and the calculated proportion (%) of areas subjected to soil amendment agents application will be extrapolated to the overall population to get the % of area of land which is subjected to soil amendment agents application. Monitoring frequency Annual QA/QC procedures GPS land area measurements are widely recognized in DRC Purpose of data Calculation of project emissions resulting from soil amendment (liming) for biomass cultivation Additional comment A survey with 109 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 agents has been applied is zero. For more details, please see excel spreadsheet “200204_Survey with planters_2nd issuance.xlsx” Question 5.

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

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 Value(s) of monitored 0 parameter

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Measurement methods A survey with at least 109 randomly selected growers (planters) has been and procedures conducted to check on the utilization of fossil fuels. The results are extrapolated to the whole population. Monitoring frequency Annual QA/QC procedures N/A Purpose of data Calculation of project emissions resulting from energy consumption for biomass cultivation Additional comment 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)

A survey with 109 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 “200204_Survey with planters_2nd issuance.xlsx” Question 8.’.

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

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 Measurement methods A survey with 109 randomly selected growers (planters) has been conducted to and procedures check on the utilization of electricity. The results are extrapolated to the whole population. Monitoring frequency Annual QA/QC procedures N/A Purpose of data Calculation of project emissions resulting from energy consumption for biomass cultivation Additional comment 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)

A survey with 109 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 “200204_Survey with planters_2nd issuance.xlsx” Question 6’.

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Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle 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-project parameter service level, except for 2 amongst 109 surveyed planters who however did not report any deforestation of trees due to the shift of activities. Measurement methods A survey with at least 100 randomly selected growers (planters) has been and procedures conducted to check on the service level of the project land use. The results are extrapolated to the whole population. Monitoring frequency Annually QA/QC procedures - Purpose of data Calculation of leakage emission from biomass cultivation Additional comment The service level of the project land use shall at least provide the pre-project service level, otherwise leakage shall be accounted for. A survey with 109 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 as for pre-project service level for 107 planters. 2 planters have mentioned to have shifted agricultural activities outside of the plantation, however did not report any deforestation of trees due to the shift of activities. For more details, please see excel spreadsheet “200204_Survey with planters_2nd issuance.xlsx” Question 11’.

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

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 Measurement methods GPS land area measurement and procedures A survey with 109 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). The area on which biomass is burnt is set in relation to the total area included in the survey and the calculated proportion (%) of areas subjected to fire will be extrapolated to the overall population to get the % of area of land which is subjected to fire. Monitoring frequency Annual QA/QC procedures GPS land area measurements are widely recognized in DRC

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Purpose of data Calculation of project emissions resulting from burning of biomass for biomass cultivation Additional comment A survey with 109 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 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 “200204_Survey with planters_2nd issuance.xlsx”, Question 13.

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle Data / Parameter bi Unit t dry matter/ha Description Fuel biomass consumption per hectare in stratum i of land subjected to fire Measured/calculated/ Default default Source of data Measurement by PP. Alternatively, the default ‘average above-ground biomass content in forest’ values from Table 3A.1.4 of the Good Practice Guidance for Land Use, Land-Use Change and Forestry (IPCC-GPG-LULUCF 2003) Value(s) of monitored 225 parameter Measurement methods N/A since a default value is applied and procedures Monitoring frequency Annual QA/QC procedures N/A Purpose of data Calculation of project emissions resulting from burning of biomass for biomass cultivation Additional comment The IPCC default value is applied since it is too difficult to conduct measurements.

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

Data / Parameter Ri Unit Dimensionless Description Root-shoot ratio (i.e. ratio of below-ground biomass to above-ground biomass) for stratum I of land subjected to fire Measured/calculated/ Measured default Source of data Measurement by project participants. Alternatively, the default values from Table 4.4 of the 2006 IPCC Guidelines for National GHG Inventories may be used Value(s) of monitored 0.26 parameter Measurement methods N/A since a default value is applied and procedures Monitoring frequency Annual

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QA/QC procedures N/A Purpose of data Calculation of project emissions resulting from burning of biomass for biomass cultivation Additional comment The IPCC default value is applied since it is too difficult to conduct measurements.

Improved cookstove component

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

Data / Parameter Np,y Unit Project technologies credited (units) Measured/calculated/ Measured default Description Technologies in the project database for project scenario p through year y Source of data Total sales record Value(s) of monitored 2018: 1,829 parameter 2019: 3,525

Measurement methods and procedures Monitoring frequency Continuously QA/QC procedures Transparent data analysis and reporting Purpose of data ER calculations Additional comment Though a household may own more than one ICS at the same time, only one ICS with serial number can claim carbon credits. The usage survey revealed that 90.0% of the respondents have only one project ICS in use, whereas 9.2% two and remaining 0.8% 3 project ICS in use. The number of project technologies credited based on the sales records has been adjusted accordingly. In addition, the usage survey revealed that almost all cookstoves are in use latest one day after purchase. The database is continuously checked for possible double-entries or implausible data entries. 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 31/10/2019, the last day of the monitoring period.

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

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 during Monitoring Period 1 default

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Source of data Project KPT Value(s) of monitored 0.621 parameter Measurement methods KPT protocol as per Annex of TPDDTEC will be followed. and procedures Households are randomly selected from each of the 3 cities (Goma, Butembo, Beni). It is envisaged to conduct 3 separate KPTs for each of the towns. The sample results shall comply with a 90/30 precision (in case of paired or independent samples) or 90/10 precision (in case of single samples). Monitoring frequency Updated at least every 2 years QA/QC procedures Transparent data analysis and reporting Purpose of data To calculate project fuel consumption and fuel savings Additional comment Project KPT has been performed during MP1 as per Annex of TPDDTEC. 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 are claimed for in this monitoring period. The sample results comply with a 90/30 precision which is in line with TPDDTEC for independent samples. Supporting documents: - “GS5391_Single Fuel_KPT Result Analyser_Goma_MP1_Scenario_1 v1.0”; - “GS5391_Single Fuel_KPT Result Analyser_Goma_MP1_Scenario_2 v1.0”; - “GS5391_Single Fuel_KPT Result Analyser_Goma_MP1_Scenario_3 v1.0”;

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

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 Value(s) of monitored 89.02% parameter Measurement methods Households are randomly selected from each of the 3 cities (Goma, Butembo, and procedures Beni). It is envisaged to conduct 3 separate usage surveys for each of the towns comprising of at least 100 households per survey. Monitoring frequency At least annually, in all cases on time for any request for issuance QA/QC procedures Transparent data analysis and reporting Purpose of data ER calculations

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Additional comment 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. There is only one project scenario. 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 define when a project stove has been in use and when not. For further details see usage survey excel spreadsheet « GS5391_Goma_MSU_MP2». 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_Goma_MSU_MP2». Step 3: Verification Checks CO2logic/WWF has randomly revisited 8 HHs of the monitoring and usage survey and 4 HH 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 « GS5391_Rapport de contre verification des données_MP2».

Level B requirements Field team training and supervision 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) « 20191210_TRAINING PROTOCOL FOR SURVEYORS usage_monitoring survey» b) « Liste de presence_formation enquêteur 20191210» c) « GS5391_Usage survey guidelines and instructions_EcoMakala_MP2»

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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, 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_Goma_Awareness_Consolidated_MP2». 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_Goma_Awareness_Consolidated_MP2».

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

Data / Parameter LEp,y Unit tCO2e per year Description Leakage in project scenario p during year y Measured/calculated/ Measured default Source of data Monitoring survey Value(s) of monitored - parameter Measurement methods - and procedures Monitoring frequency Every 2 years QA/QC procedures Transparent data analysis and reporting Purpose of data Leakage emissions Additional comment Aggregate leakage can be assessed for multiple project scenarios

Relevant SDG SDG 13, Climate Action Indicator/Safeguarding Principle

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

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Measured/calculated/ Measured default Source of data Monitoring/usage surveys Value(s) of monitored - parameter Measurement methods -Monitoring surveys in at least 100 households to capture cooking habits and and procedures stove usage of households in the region, including quantification of use of baseline devices, by formulating questions and/or collecting evidences to determine the frequency of usage of both the project devices and baseline devices or -Monitoring surveys in at least 100 households to capture the number of meals cooked or -Measurement campaigns shall be undertaken using data loggers such as stove utilization monitors (SUMs) which can log the operation of all devices in order to determine the average device utilization intensity. The measurement campaign shall be conducted in at least 10 randomly selected households of the project activity for at least 90 days during the year y. If seasonal variation is observed, the average value determined through the campaign shall be annualised taking into account seasonal variation of device utilization27. Monitoring frequency Annual QA/QC procedures - Purpose of data Emission reduction calculation /Additional comment No need to monitor this parameter since biennial project KPTs are conducted, since in this case the KPTs capture the total project fuel consumption on all stoves, i.e. also includes the fuels consumed on any baseline stoves.

D.3. Implementation of sampling plan >> (If data and parameters monitored described in section D.2 above are determined by a sampling approach, provide a description on how project participants implemented the sampling plan and surveys for those data and parameters according to the approved PDD.)

Usage and monitoring survey: Sampling method - The households were randomly selected from the sales database using the Rand function in excel and the sampled households are properly recorded in an excel spreadsheet (see document “GS5391_Goma_MP2_201806-201910_Sampling_frame_v1.0.xlsx”). Three different random sample lists were created, one for each of the three age groups, namely 0-1, 1-2 and 2-3. 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 credited28. 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. In regard to the monitoring survey, TPDDTEC methodology prescribes the following minimum sample sizes depending on the population size: (i)

27 The number of samples and approach for the measurement campaign was adopted from the CDM methodology AMS- II.G, version 08. 28 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.

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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. For this 2nd monitoring period, the sample size consists of 120 households. 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 which purchased an ICS in the period between 01/09/2017 and 30/09/2019. Stoves sold in October 2019 have not been included into the sampling frame in order to ensure to comply with the TPDDTEC requirement in footnote 33 which requests participants in a usage survey for age group 0-1 having technologies that have been in use on average longer than 0.5 years. Stoves of age group 0-1 have been in use 0.78 years, stoves of age group 1-2 in use 1.57 years. Stoves of age group 2-3 have been in use for ‘only’ 2.12 years since distribution started on 01/09/2017 and survey was conducted in December 2019. Hence it is impossible that stoves of age group 2-3 have more than 2.5 years. Survey - 120 randomly selected households in Goma town 29 have been sampled from 22/12/2019 to 04/01/2020. Three age groups are 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 «GS5391_Goma_MP2_201806- 201910_Sampling_frame_v1.0_20200204.xlsx». Sample size – No minimum total sample size is specified for the survey. Besides the 120 households surveyed during the usage and monitoring survey on benefits and end-user awareness, some 57 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 120 households surveyed in the usage and monitoring survey, 57 additional households have been surveyed from 30/12/2019 to 12/01/202030 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». 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 has been the same as for the usage and monitoring survey of the 1st issuance. Survey - KPTs with 85 randomly selected households using ICS have been carried out from 08/05/2018 to 15/06/2018 in Goma town31. Since the KPT is valid for 2 years as per the registered monitoring plan and applied methodology, no new KPT has been conducted for this 2nd monitoring period. The same KPT values as used for the 1st monitoring period have been used.

Survey for the determination of potential project and leakage emissions from biomass

29 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 2nd monitoring period. 30 See document « GS5391_Goma_MP2_201806-201910_Sampling_frame» for the determination of the sample of 50 households and document «GS5391_Goma_MS_Awareness_MP2» for the result of the survey of the sample of 50 households 31 No carbon credits will be claimed for ICS sold in Beni and Butembo towns, hence no project KPTs have been conducted in those towns.

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Sampling method – Growers are selected at random using RAND and VLOOKUP Functions in excel. Sampling size –109 growers have been selected for the survey Sampling frame – Only growers from eligible plantations made part of the sample frame. Survey – 109 growers of the territories of Masisi, Lubero, Rutshuru 32 have been surveyed between 13/01/2020 and 25/01/2020.

Survey for charcoal producers

Sampling method – Charcoal producers are selected at random using RAND and VLOOKUP Functions in excel. Sampling size – 20 charcoal producers have been selected for the survey. Sampling frame – Only charcoal producers trained by the project are included in the sampling frame. Survey - 20 charcoal producers from the territories of Lubero, Masisi and Rutshuru have been surveyed between 15/01/2020 and 20/01/2020.

SECTION E. Calculation of SDG outcomes

E.1. Calculation of baseline value or estimation of baseline situation of each SDG outcome >> (Provide details of equations and approaches used to calculate/estimate baseline values.) a) SDG 1, No poverty

Not applicable, the direct outcome is calculated, see section E.3. b) SDG 3, Good health and well-being

Not applicable, the direct outcome is calculated, see section E.3. c) SDG 4, Quality education

Not applicable, the direct outcome is calculated, see section E.3. d) SDG 7, Affordable and clean energy

Not applicable, the direct outcome is calculated, see section E.3. e) SDG 8, Decent work and economic growth

Not applicable, the direct outcome is calculated, see section E.3. f) SDG 13, Climate Action The methodology directly provides equation for emission reductions (without separate baseline, projector leakage emission reduction equations). See section E.3. for the calculation of the emission reductions.

E.2. Calculation of project value or estimation of project situation of each SDG outcome >> (Provide details of equations and approaches used to calculate/estimate project values.) a) SDG 1, No poverty

Not applicable, the direct outcome is calculated, see section E.3. b) SDG 3, Good health and well-being

32 No planters from Beni and Nyiragongo have been interviewed since no charcoal from those areas have been accounted for.

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Not applicable, the direct outcome is calculated, see section E.3. c) SDG 4, Quality education

Not applicable, the direct outcome is calculated, see section E.3. d) SDG 7, Affordable and clean energy

Not applicable, the direct outcome is calculated, see section E.3. e) SDG 8, Decent work and economic growth

Not applicable, the direct outcome is calculated, see section E.3. f) SDG 13, Climate Action The methodology directly provides equation for emission reductions (without separate baseline, projector leakage emission reduction equations). See section E.3. for the calculation of the emission reductions.

E.3. Calculation of net benefits as difference of baseline and project values or direct calculation for each SDG outcome a) SDG 1, No poverty

Parameter#1 - Increase in revenue for the charcoal producers thanks to improved technology = (Number of charcoal producers perceiving change in productivity of charcoal production and revenue since the start of the project) / (Number of respondents)

Parameter#2 - Money spent for purchasing charcoal = (Number of stove users spending less amount of fuel and hence less money than before the usage of the project stove) / (Number of respondents) b) SDG 3, Good health and well-being

Parameter#1 - Perceived change in health by the charcoal producers = (Number of charcoal producers perceiving health improvement since the start of the project) / (Number of respondents)

Parameter#2 - Perceived change in health by the ICS users = (Number of ICS users perceiving health improvement since the start of the project) / (Number of respondents)

c) SDG 4, Quality education

Parameter#1 - Number of training sessions provided to charcoal producers, cooperatives, local ICS producer and sales associations and resellers = (Number of training sessions provided to charcoal producers, cooperatives, local ICS producer and sales associations and resellers to ensure that the technical capacities of the work staff delivers the necessary quality of products and services).

Parameter#2 - Number of awareness raising campaigns = (Number of awareness raising campaigns organized to inform on the ICS and sustainable charcoal EcoMakala benefits and possible positive impacts on both households and environment) d) SDG 7, Affordable and clean energy

Parameter #1 - Number of ICS in use = (Number of ICS produced and sold through the project) * (usage factor)

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Parameter #2 - Quantity of sold renewable charcoal (EcoMakala) = (Quantity of charcoal production using renewable biomass and efficient charcoal production technologies) e) SDG 8, Decent work and economic growth

Number of jobs created = (Number of jobs created due to the project activity with salaries/wages at par or better than the average local/sector wage level) f) SDG 13, Climate Action Sustainable charcoal production/consumption component

Where:

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

Emission reductions in year y Sum over all relevant (baseline b/project p) couples Cumulative number of project technology-days included in the project database for project scenario p against baseline scenario b in year y 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) 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

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of the data collected from field tests. Fraction of biomass used in year y for baseline scenario b that can be established as non-renewable biomass.

Net calorific value of the charcoal substituted or reduced. CO2 emission factor of the fuel that is substituted or reduced. Non-CO2 emission dactor of the charcoal that is reduced or substituted

LEp,y Leakage for project scenario p in year y (tCO2e/yr)

E.4. Summary of ex-post values of each SDG outcome for the current monitoring period

Item Baseline estimate Project estimate Net benefit

SDG 1, No poverty

Parameter#1 - Increase in revenue for the charcoal producers thanks to Parameter#1 = 100% improved technology Parameter#2 = 94%

Parameter#2 - Money spent for purchasing charcoal

SDG 3, Good health and well-being

Parameter#1 - Perceived change in Parameter#1 = 100% health by the charcoal producers Parameter#2 = 100% Parameter#2 - Perceived change in health by the ICS users

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c) SDG 4, Quality education

Parameter#1 - Number of training sessions provided to charcoal Parameter#1 = 6 producers, cooperatives, local Parameter#2 = 6 ICS producer and sales associations and resellers

Parameter#2 - Number of awareness raising campaigns SDG 7, Affordable and clean energy

Parameter #1 - Number of ICS in Parameter#1: 4,163 ICS use Parameter#2: 1,196.61 t Parameter #2 - Quantity of sold renewable charcoal (EcoMakala) SDG 8, Decent work and economic growth 28 Number of jobs created SDG 13, Climate Sustainable charcoal Action component: 8,225 tCO2e

Number of tCO2e reduced by the ICS component: 18,088 tCO2e project Total: 26,313 tCO2e

E.5. Comparison of actual value of outcomes with estimates in approved PDD

Values estimated in ex ante calculation of Actual values achieved during this monitoring Item approved PDD period SDG 13, Climate Action

Number of 165,190 tCO2e 26,313 tCO2e tCO2e reduced by the project

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E.6. Remarks on difference from estimated value in approved PDD >> Actual sales figures of ICS and EcoMakala is much lower than estimated.

SECTION F. Stakeholder inputs and legal disputes

F.1. List all inputs/grievances which have been received for the project during the monitoring period together with their respective answers/actions

>> No inputs/grievances have been received for the project during the monitoring period.

F.2. List all inputs/grievances from previous monitoring period where follow up action is to be verified in this monitoring period

>> Not applicable

F.3. Provide details of any legal contest or dispute that has arisen with the project during the monitoring period

Not applicable

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