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Monitoring report form (Version 03.2)

Monitoring report Title of the project activity Improved Cook Stoves CDM project of JSMBT Reference number of the project activity 4478 Version number of the monitoring report 02 Completion date of the monitoring report 22/03/2014 Registration date of the project activity 05/04/2011 (Date of registration action 27 Jun 11) Monitoring period number and duration of this Monitoring Period Number: 01 monitoring period Duration of this Monitoring Period:31/05/2012-31/07/2013 (First and last days included) Project participant(s) 1. Janara Samuha Mutual Benefit Trust (JSMBT) – Host Country 2. FairClimateFund BV – Annex I Country Host Party(ies) Sectoral scope(s) and applied methodology(ies) Sectoral Scope: 3 : Energy demand Applied Methodology: AMS-II.G. ver. 2 - Energy Efficiency Measures in Thermal Applications of Non-Renewable Biomass

Estimated amount of GHG emission reductions 44,777 tCO2 or net anthropogenic GHG removals by sinks for this monitoring period in the registered PDD

Actual GHG emission reductions or net 15,699 tCO2 anthropogenic GHG removals by sinks achieved in this monitoring period

Actual GHG emission reductions or net 2,141 tCO2 anthropogenic GHG removals by sinks achieved during the period up to 31 December 2012(if applicable)

Actual GHG emission reductions or net 13,558 tCO2 anthropogenic GHG removals by sinks achieved during the period from 1 January 2013 onwards (if applicable).

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F-CDM-MR SECTION A. Description of project activity A.1. Purpose and general description of project activity i. Purpose of the project activity and the measures taken for GHG emission reductions or net anthropogenic GHG removals by sinks The purpose of the project activity is to replace inefficient traditional cook stoves in 21,500 households with efficient fuel wood single pan “CHULIKA” cook stoves, in a biomass deficient district of , State in India. This district has greatly diminished biomass resources and the wood demand far exceeds the available renewable woody biomass. The CHULIKA cook stove saves 67.5% of households’ fuel wood. By reducing fuel wood consumption, the project activity reduces greenhouse gas (GHG) emissions stemming from the use of non-renewable biomass. CHULIKA cook stoves saves 2.01 t of CO2/yr/family in this region. The project activity is expected to prevent 42,637 tCO2 emissions in a year by implementing CHULIKA stoves in 21,500 households, and a total of 4,26,371 tonnes of CO2 for a period of 10 years. The project was implemented on successful registration of the project as a CDM project activity since the project is financed completely from carbon revenues. Thus, CHULIKA was implemented in the project area only after CDM registration and procuring carbon finance. ii. Brief description of the installed technology and equipment The stove implemented in the project area is CHULIKA (Aadi Sri Shakti model), which is a single pot stove based on a rocket stove design. It has a thermal efficiency of 40.29%. As per the PDD, for emission calculations purpose, a thermal efficiency of 30.8% has been considered, though a higher efficient stove has been implemented. Hence, the emission reduction calculation is conservative in approach. The CHULIKA (Aadi Sri Shakti model) is a single-pot stove based on a rocket stove design. The combustion chamber is made from high quality thermally insulating refractory material. Chamber housing is deep drawn in a high tonnage hydraulic press and powder coated. The chamber shell is made of mild steel. The chamber top plate is pressure die cast out of cast iron. The wood grate is made of cast iron and welded. On the side is a port for feeding fuel into the combustion chamber. After lighting, air draft flows into the combustion chamber from under the wood grate. This design ensures preheating of the air and a complete combustion with no visible smoke and only small amounts of ash. The stove is suitable for rural household cooking wherein cooking, frying, baking flat bread, heating water for bathing can be conveniently carried out, replacing the traditional cook stove. iii. Relevant dates for the project activity (e.g. construction, commissioning, continued operation periods, etc. a) The project activity does not involve any construction. The improved cook stoves CHULIKA, Aadi Sri Shakti model was purchased from iSquareD and implemented in the project area. b) The project activity was implemented only after registration of the project as a CDM project and procuring carbon financing for implementation of the project activity. c) The first stove was distributed on 08/08/2012. Till 31/07/2013, 32,588 stoves have been distributed to 16,294 families @ 2 stoves/household in a phased manner. The dates of commissioning in each and every household can be seen in the enclosed excel sheet (JSMBT CER Calculations_V2.xlsx) along with other details of the household. d) Till 31st July 2013, the month-wise implementation of the project activity is as follows:

Number of households for which Month CHULIKA has been implemented August 2012 766 September 2012 1521 October 2012 1,090 November 2012 1,449 December 2012 3,200 January 2013 3,125 February 2013 2,787

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F-CDM-MR March 2013 2,032 April 2013 149 May 2013 30 June 2013 98 July 2013 47 Grand Total 16,294 e) Till 31st July 2013, the project has been implemented in 127 villages for 16,294 households. The details of villages and number of households in each village are given in section A.2. f) Since the date of implementation, there is continued operation of the project activity. Each and every household is monitored for the operation of CHULIKA. The days on which CHULIKA is not operational, are recorded and reported. Emission reductions are not estimated for the non- operational days. The main reason for stove repair was problem with the stove inner shield, which was repaired/replaced. A total of 204 stoves/families were reported with this problem, because of which 11,127 days were not accounted for emission reduction calculations. A few families use the traditional stoves along with CHULIKA, for certain activities such as bread making, boiling milk, preparation of cattle feed, water heating for bath, etc. The use of the traditional stove and the reason of use are also recorded for each of the household. According to the methodology, if the baseline stoves usage continues, monitoring shall ensure that the wood fuel consumption of those stoves is excluded from By in equation 2. Hence, the fuel wood used on traditional stoves has been excluded while determining By (Quantity of woody biomass used in the absence of the project activity in tonnes) and estimating emission reduction. A summary of these details for this monitoring period are as follows: Total number of Total fuel wood days not used Event Use on traditional by all the cook stove (t) households Animal Feed and Bread Making 3,283 14.58 Animal Feed Cooking 11,984 35.36 Complete Cooking 163,513 1,317.06 Milk and Water boiling 4,109 7.01 Milk and Water boiling and Animal Food 2,436 11.34 Milk Boiling 18,053 6.77 Milk Boiling and Animal Food 3,661 12.18 Milk Boiling and Bread Making 9,044 16.86 Bread Making 506,128 754.05 Water Boiling 429,198 570.96 Water boiling and Animal Food 3,528 15.10 Water Boiling and Bread Making 620,312 1,749.37 Due to Repair of Stove 11,127 89.63 Total fuel wood use on traditional cook stove during the monitoring period 4,600.27 iv. Total GHG emission reductions or net anthropogenic GHG removals by sinks achieved in this monitoring period The total GHG emission reductions achieved in this monitoring period (31-05-2012 to 31-07-2013) inclusive of both the days after discounting the fuel wood use for baseline stoves and non-usage days is 16,525 tCO2.

After considering leakage too, the GHG emission reductions achieved during this monitoring period is 15,699 tCO2.

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ERy for the monitoring period (31/05/2012 – 31/07/2013) 16,525 tCO2

ERy after considering leakage (31/05/2012 – 31/07/2013) 15,699 tCO2

A.2. Location of project activity a) Host Party: INDIA b) Region/State/Province, etc.: Karnataka c) City/Town/Community, etc: 127 villages, 4 Hoblis, 28 Gram Panchayats, Devdurga Taluk, . The details of Hoblis, Gram Panchayats and villages are as follows:

Number of Gram Number of Number of Hobli Panchayats Villages Households 9 35 3,890 Devadurga 6 34 4,120 5 25 3,547 8 33 4,737 Total 28 127 16,294 d) The villages and the number of households in each of the village are as follows:

No. No. No. No. of of of of Village HHs Village HHs Village HHs Village HHs Akalkumpi 26 Ganekal 158 Kamaldinni 164 Nagaddinni 188 Alkod 80 Gopalpur 141 109 Nagargund 157 Amrapur 68 Govindpalli 101 Karegud 117 Nagoli 150 Amrapur 85 Gugal 93 Kelgin Irabgera 50 Navilgudda 33 Anchesugur 91 Gundgurthi 102 199 Neelgal 227 Anjal 121 Guntarhal 106 Khardigud 35 Nilvanji 44 Anwar 26 Haddinhal 84 66 Ooti 153 Arkera 356 Hal-Jadaldinni 64 Konchapli 85 Palkanmardi 132 Arshangi 113 Hanchinhal 83 Kopper 237 Pandyan 116 Bandegud 39 Heggaddinni 142 Kotigud 65 Paratpur 75 Benderganekal 248 Hemanal 112 Kurkihalli 134 Piligund 88 Benkal 72 Hemnur 153 270 Ramanhal 130 Bhogiramangund 157 Herundi 95 Lingadhalli 137 317 Bommanhal 129 77 Madarkal 112 Rekalmardi 40 Bommanhalli 93 Hirebudur 222 Madarkal 112 Salkyapur 85 50 Hireraikumpi 159 Maladkal 244 Samudra 83 Budinhal 105 Honnatagi 106 48 Shakapur 35 Bunkaldoddi 212 Siddapur 141 Malledevergud 88 Shavantgal 48 Chadkalgudda 141 Huligud 100 Mandalgud 55 Shavantgera 139 Chickbudur 207 Huvinhadgi 69 Mansagal 59 Shivangi 123 Chickhonkuni 114 Ingaladhal 103 Markamdinni 130 Somanmardi 216

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F-CDM-MR Chickraikumpi 50 93 493 Sugarhal 59 326 Jagatkal 117 Maseedpur 135 Sunkeshwarhal 131 Jagir- Chintalkunta 98 Jadaldinni 187 Masihal 76 Sunnadkal 70 Devatgal 132 Jalhalli 743 Matpalli 101 Tippaldinni 104 Devergud 75 Jambaldinni 29 95 Venglapur 131 Dondambli 106 Jaradbandi 61 Mudalagund 106 Wandli 219 Gabbur 467 Jerbandi 89 Mudgot 73 Yatgal 101 Gajjibhavi 69 Jinnapur 74 Mukanhal 20 Yergudda 99 267 Joladhadgi 143 199 Yermarus 120 Ganajali 75 Kakkaldoddi 65 Mustoor 142 Yermasal 99 Gandhal 182 Kakkargal 155 Mykaldoddi 79

e) Physical/Geographic location

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Figure 1: Map showing Karnataka State, Raichur District and the Devdurga Taluk where the project has been implemented

Raichur district lies between 15 deg. 09 min. and 16 deg. 34 min. N latitude and 75 deg. 46 min. and 77 deg. 35 min E longitude1. The district is bounded on the north by the district of Gulbarga, on the west by the districts of Bijapur and Bagalkot, on the east by the district of Mahboobnagar of Andhra Pradesh, and on the south by the Karnataka districts of Koppal and Bellary, as well as Kurnool in Andhra Pradesh. The two rivers, the Krishna and the Tungabhadra, form the entire northern and southern boundaries of the district. The coordinates of the Taluk Devdurga is 16°25′59″N 76°55′01″E. A.3. Parties and project participant(s)

Indicate if the Party Party involved Private and/or public entity(ies) project involved wishes to be ((host) indicates participants considered as project a host Party) (as applicable) participant (Yes/No)

India (Host) Private entity A: Janara Samuha No Mutual Benefit Trust (JSMBT)

The Netherlands Private entity B: FairClimateFund BV No (Annex-I Country)

A.4. Reference of applied methodology The details of applied methodology is as follows: SECTORAL SCOPE – 3; ENERGY DEMAND Project Type II - ENERGY EFFICIENCY IMPROVEMENT PROJECTS Project Category – II.G. Energy efficiency measures in thermal applications of non-renewable biomass, Version 02.

A.5. Crediting period of project activity a) Type of crediting period: Fixed Crediting Period b) Start date of crediting period: 31/05/2012 c) Length of crediting period corresponding to this monitoring period: 10 years

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F-CDM-MR SECTION B. Implementation of project activity B.1. Description of implemented registered project activity a) Implementation status of the project activity: The project was registered on 5th April 2011. The ERPA was signed in December 2011, after which, with the carbon revenue from FairClimateFund BV, The Netherlands, orders were placed with iSquareD for CHULIKA stoves. Hence, the project was implemented after the project got registered and carbon forward funding was obtained for implementation of the project. There was a lag of one year for implementation after registration of the CDM project activity, as JSMBT had to identify a carbon investor, get into ERPA and obtain carbon finance. Hence the start date of crediting period was also postponed by a year. The first step towards implementation of the project activity is formation of a roll out team and a village level team. The team is responsible for updating the village’s street directory and social map, and for allocating the SHK (Street/House/Kitchen) geographical identifier, which is the household’s Unique ID for interacting with JSMBT. The team interviews and takes the details of the household, which is loaded on the Online Monitoring Solution of JSMBT. At the village level, opinion leaders are identified by project/roll-out members. Project pamphlets is prepared, printed and given to all Opinion Leaders. This serves as a common and consistent message on the JSMBT CDM cook stove project across the project. All Opinion Leaders are invited to the CDM Cook stove village level meeting called Gram Sabha (village level meeting). The date for this is fixed in consultation with the Opinion Leaders. The project/roll-out team members visit all streets and inform households of the purpose, time and venue of the Gram Sabha meeting. The Gram Sabha is held in each operational village on the agreed date, time and venue. A member of the project staff addresses the Gram Sabha and gives the details of the project activity, which include details of JSMBT, the intent of the project activity, eligibility criteria for selecting households, the collection of a membership fee of Rs. 20 and registration fee of Rs. 180 per household and advantages of CHULIKA over tradition cook stoves. A poster presentation on Climate Change is presented to sensitize the audience to Climate Change issues. Details of processes during the village stay is then presented, which includes capacity building and formation of village level committee, logistic arrangements for roll-out team, stove monitoring process, selection of village animator and volunteers and Stove demonstration. The roll-out team conducts a demonstration of CHULIKA in the village. Households are allowed to examine the stove, and team members answer questions from the villagers. Representatives from every street are invited to the formation of a village level committee. Following a discussion and agreement, the representatives pass a resolution forming themselves into an informal association called the Gram Samstha (village level committee). The resolution also records decision-making by consensus, and their commitment to the development of all households, especially the poorer households. All female street representatives as well as women thrift Self Help Groups (SHG) representatives are invited to the formation of a Village Climate Change Committee (VCCC). The village roll-out team surveys all households in the village to understand the willingness of the households to remove the traditional cook stove, migration status of the family and willingness to pay registration fee. Based on this, the roll-out team focuses only on eligible households for collecting registration fees, stove demonstrations, etc. The Hobli Coordinator/s, are responsible for a group of roll-out teams each. Stove Procurement, Delivery, Accounting and Storage: JSMBT has placed Purchase Order for Chulika biomass cookstoves with iSquareD. Based on this Purchase Order, iSquareD has arranged to deliver the improved cookstoves to Deodurg. On receipt of the stoves in the operational area, the Project Documentist enters the invoice amount divided by the cost of the stove’s unit cost. This is entered into the Online Monitoring Solution as the number of stoves received. The Online Monitoring Solution has provision to be a complete stock inventory system and the project maintains its accounting system as a part of JSMBTs set of financial books. The project makes arrangements to receive and store the stoves. Based on registrations received, the project arranges to deliver the required number of stoves to the village. The stoves are stored in a public place identified by the team with the assistance

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F-CDM-MR of VCCC members. Team members go to ‘registered’ households and help them to demolish the traditional cook stoves or to cover and close the existing stove with mud and to construct the platform where the improved cook stoves are placed. The Team member undertaking this at the household initials the household’s membership/registration receipt which authorizes the team member responsible for the stove stock in the village to release two improved cook stoves to the household. The stoves are taken and installed by the household on the new stove platform. After installation, team members visit the household and train the household to light and use the new cook stoves. Following this, the team provides the Project Documentist with a list of installed stoves by SHK number and the stove ID number, which are unique to each household. The Project Documentist ensures that the Online Monitoring Solution is updated with this data. As usage of stoves is critical, the project has formed an EUA team to manage the signing of the End User Agreements. The team visits the household, enquires about usage and, if the experience to-date is positive, asks the household to execute an End User Agreement. b) Stoves Distribution Dates: The first stove was distributed on 08/08/2012. Till 31st July 2013, 32,588 CHULIKAs have been distributed to 16,294 households @ 2 stoves/household. The stoves were distributed to the families after they paid a registration fee of Rs. 200/household and dismantled their traditional mud stoves used in the baseline. Thus only households willing to participate in the project are part of the project activity. c) Installed technology: The stove implemented in the project area is CHULIKA (Aadi Sri Shakti model), which is a single pot stove based on a rocket stove design. It has a thermal efficiency of 40.29%. The manufacturer has released the higher efficiency stove (Aadi Sri Shakti model) with an efficiency of 40.29% and has stopped production of the earlier model of Chulika with an efficiency of 30.8%, which was considered for emission reduction calculations during PDD registration. As per the PDD, for emission calculations purpose, a thermal efficiency of 30.8% has been considered, though a higher efficient stove has been implemented. Thus the emission reduction calculation is conservative in approach. d) Technical process and equipment: The CHULIKA (Aadi Sri Shakti model) is a single-pot stove based on a rocket stove design. The combustion chamber is made from high quality thermally insulating refractory material. Chamber housing is deep drawn in a high tonnage hydraulic press and powder coated. The chamber shell is made of mild steel. The chamber top plate is pressure die cast out of cast iron. The wood grate is made of cast iron and welded. On the side is a port for feeding fuel into the combustion chamber. After lighting, air draft flows into the combustion chamber from under the wood grate. This design ensures preheating of the air and a complete combustion with no visible smoke and only small amounts of ash. The stove is suitable for rural household cooking wherein cooking, frying, baking flat bread, heating water for bathing can be conveniently carried out, replacing the traditional cook stove.

B.2. Post registration changes B.2.1. Temporary deviations from registered monitoring plan or applied methodology There are no temporary deviations from registered monitoring plan or applied methodology.

B.2.2. Corrections

There are no corrections to the registered Project Document Design.

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B.2.3. Permanent changes from registered monitoring plan or applied methodology There are no permanent changes from registered monitoring plan or applied methodology.

B.2.4. Changes to project design of registered project activity There are no changes to project design of registered project activity.

B.2.5. Changes to start date of crediting period In accordance with Annex 59, EB 52, “Procedures for requesting post-registration changes to the start date of the crediting period”, the Project Proponent has delayed the start date of the project activity by a year. The start date of crediting period has been changed from 01st Jun 11 – 31st May 21 to 31st May 12 – 30th May 22 (Fixed).

B.2.6. Types of changes specific to afforestation or reforestation project activity Not applicable

SECTION C. Description of monitoring system The project was implemented after CDM registration. After forward funding of CERs are obtained, orders was placed with the manufacturer of CHULIKA, isquareD. During this monitoring period of one year, 16,294 households have been provided with CHULIKA, after considering necessary storage and logistics arrangements available for a cluster of villages. The implementation phase of the project activity has been described in section B.1. The weekly monitoring system was initiated after implementation, which is elaborated in the following sections.

Project Management/Team structure

This CHULIKA CDM project is implemented and monitored by JSMBT, which is currently being implemented in 16,294 households in 127 villages of Devdurga taluk in Raichur district of Karnataka.

A Standard Operation Procedure Manual has been prepared for implementation and monitoring of the project activity, which is being followed by the CDM Team.

 The single relevant project aspect deemed necessary to monitor and report reliable emission reductions is the continued use of the appliance. The number of systems operating is being recorded through evidence of continuous monitoring at the village level by village animators. For all appliances to be in continuous use throughout the project period, the CDM Coordinator depends on the continued monitoring, servicing and maintenance completed and documented in the on-line monitoring database.

 All monitored data required for verification and issuance is being kept for two years after the end of the crediting period or the last issuance of CERs for the project activity, whichever occur later both on paper and electronically.

The organization structure for project implementation and monitoring is as follows:

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Organization and Project Management Structure

a. The JSMBT Board has the ultimate responsibility for the project. The Managing Trustee-JSMBT is tasked with direct responsibility for the CDM biomass cook stove project on behalf of the Board.

b. Day-to-day responsibility for the project is exercised by the CDM Manager. He is responsible for ensuring that the project’s target of carbon emissions reduction is met. The CDM manager is responsible for ensuring that all the CHULIKA biomass cook stoves under the project are functioning and are being used and is responsible for ensuring that all households are trained in the proper and safe use of the CHULIKA biomass cook stoves. The CDM manager also keeps tab of the down time for these stoves to ensure that it is kept at the minimum.

c. There are Four Hobli coordinators. Each coordinator is responsible for 1 Hobli or revenue circle2.

d. Village animators have been appointed and each is responsible for nearby 5 villages. The appointment of the animator has been undertaken in consultation with the village households. The animator is oriented on the project’s objectives and activities and trained on monitoring the stoves on a weekly basis for its daily usage. Each animator visits each project household weekly for monitoring the usage of the biomass cook stoves on a daily basis. The animator reports all maintenance, and other issues relating to the stoves and its usage. Each animator is also responsible for conducting periodical meetings with the Village Climate Change Committee to review the performance of the project, especially the down time and non-usage of the biomass cook stoves by specific households.

e. The JSMBT organization has facilitated a community institution in all its villages. The primary association of the village institution comprises of gender-based street groups. All the male and female heads of the households in a street are first organised into gender groups. Each gender group then selects a street representative. The 2 gender representatives from each street then meet as the village institution. Effectively, each village institution functions as a representative general body of all the households in its village. The organisation organizes all households receiving the CHULIKA improved biomass cook stoves into user groups.

f. A Village Climate Change Committee (VCCC) has been formed from representatives of both the village institution as well as the user groups. Each VCCC functions as the formal interface

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F-CDM-MR between the project and the village committee as well as its user groups. The VCCC is a signatory to the End User Agreement. It ensures that the terms of the End User Agreements are adhered to by both the organisation as well as the users of the CHULIKA biomass cook stoves.

g. A CHULIKA maintenance mechanic has been identified and appointed by JSMBT. He holds maintenance clinics at the Hobli and Village levels on a regular scheduled basis. The CHULIKA maintenance mechanic carries CHULIKA stoves with him as stand-byes, in addition to stove components for repair and replacement.

h. CDM Biomass Cook Stove Monitoring: Daily stove usage is critical. The project is committed to undertake weekly monitoring. The village animator is responsible for monitoring stove usage at the village level and ensures that all households are visited weekly. A stove passbook is maintained for each household, which is updated for the non-usage. Based on the installations, the Project Documentist prepares the weekly monitoring sheet (pass-sheet). The village animator fills in the pass-sheet and the passbook. The Hobli Coordinator collects the pass- sheets, does a quality check of the passbooks. A full time data entry operator updates the Online Monitoring System from the pass-sheets. Meetings with village animator are organized regularly to share experiences, review and resolve issues, as well as any other business that may be relevant.

i. Report of stove repair and maintenance: The village animator finds a CHULIKA biomass cook stove not functioning or not functioning properly during the weekly household visits, immediately informs the Hobli coordinator and arranges for another CHULIKA biomass cook stove to be sent as a temporary replacement. The project has arranged to stock 5 stoves with each Hobli Coordinator to allow for a stove replacement with the least loss of time. In addition, the stove maintenance mechanic carries two stoves with him when he visits villages. The project maintains a repair register. The Project Documentist extracts information from the pass- sheets. On completion of the repairs, the mechanic informs the Project Documentist who updates the Online Monitoring Solution accordingly.

j. The project derives its carbon emission reduction status every week from the consolidation of these household reports. All household details have been entered into an on-line monitoring solution. Reports are available by Household or by Village, Gram Panchayat, Hobli or project.

k. Monitoring database: The online digitized system custom built for monitoring the project has been designed for JSMBT by Tristle© Monitoring Solution3 – an IT company. This is used to enter data on a daily basis and generate real-time online Progress Reports. Progress and Analytical Reports are totally transparent, open for one and all. These reports are perused and verified by the CDM Manager and Hobli Coordinators with field data from the animators. The Project Area is identified as Taluk, Hobli, Gram Panchayats and Villages. Participating Families are identified based on the survey conducted to identify the families.

l. The totally open and transparent reports track inventory from purchase to installation. These, along with budget realisations, keep a wider audience constantly informed on progress and financial health. They also give up-to-date information on the volume of CERs generated.

The monitoring package includes the following datasets: o Implementation Progress (Project Area to Village Reports) o Participating Families o Carbon Investor o Budget Realisation o Breakdowns o Stakeholders o Inventory Stock at different levels  Administrator Panel o Assign Coordinators to specific areas o Define Taluks o Manage various Tables o Define Carbon Investors

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F-CDM-MR o Manage Budgets and Realisation o Define Items, Costs, Suppliers and Installation Types o Purchase Inventory o Transfer Inventory to various project locations.  Taluk Coordinator Panel o Appoint Hobli Workers o Define Hoblis, Gram Panchayats and Villages o Assign particular villages to chosen Carbon Investors o Transfer Inventory to the Hoblis o Recording End User Agreements  Hobli Worker Panel o Define Participating Families o Appoint Animators o Record Installations o Log Breakdowns & Repairs o Record Weekly Monitoring. Verification data needed by the DoE and for emission reduction calculations are generated as Excel files from this on-line monitoring database which can track progress on a day-to-day basis, including Hobli-wise list of Installations, Month-wise Usage, Monthly Monitoring, Breakdown Log and Verification Data.

Frequency of Monitoring: 100% of the appliances are monitored on a weekly basis, for its daily use. The operation and monitoring report is used for emission reduction calculations. For monitoring leakage as specified in the methodology, an annual stratified sample survey has been conducted, which is described in section D.3.

SECTION D. Data and parameters D.1. Data and parameters fixed ex ante

Data / Parameter: By Unit: t/family/yr Description: Quantity of woody biomass used in the absence of the project activity in tonnes Source of data: Registered PDD Value(s) applied): 2.94 t/family/yr Purpose of data: According to the “Guidelines on completing the monitoring report”, Version 4, the purpose of data needs to be in terms of calculation of baseline emissions, project emissions or leakage. But according to the methodology II.G, the data is directly used to estimate emission reductions for the project activity. Additional As detailed in the PDD, this data is from published sources - Forest comment: Survey of India (FSI), 1996 and Ranganathan, Subba Rao and G.S. Prabhu., 1993 and is fixed for the entire crediting period.

Data / Parameter: NCVbiomass Unit: TJ/tonne Description: Net calorific value of the non-renewable woody biomass that is substituted (IPCC default for wood fuel, 0.015 TJ/tonne) Source of data: IPCC Value(s) applied): 0.015

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F-CDM-MR Purpose of data: According to the “Guidelines on completing the monitoring report”, Version 4, the purpose of data needs to be in terms of calculation of baseline emissions, project emissions or leakage. But according to the methodology II.G, the data is directly used to estimate emission reductions for the project activity. Additional Default value given in the methodology comment:

Data / Parameter: EFprojected_fossilfuel

Unit: tCO2/TJ Description: Emission Factor for Kerosene Emission factor for the substitution of non-renewable woody biomass by similar consumers. The substitution fuel likely to be used by similar consumers is taken Source of data: II.G, Version II methodology Value(s) applied): 71.5 Purpose of data: According to the “Guidelines on completing the monitoring report”, Version 4, the purpose of data needs to be in terms of calculation of baseline emissions, project emissions or leakage. But according to the methodology II.G, the data is directly used to estimate emission reductions for the project activity. Additional Default value given in the methodology comment:

Data / Parameter: ηold Unit: Fraction Description: Efficiency of the baseline system/s being replaced, measured using representative sampling methods or based on referenced literature values (fraction), use weighted average values if more than one type of systems are encountered; Source of data: II.G, Version II methodology Value(s) applied): 0.10 Purpose of data: According to the “Guidelines on completing the monitoring report”, Version 4, the purpose of data needs to be in terms of calculation of baseline emissions, project emissions or leakage. But according to the methodology II.G, the data is directly used to estimate emission reductions for the project activity. Additional comment: Default value given in the methodology

D.2. Data and parameters monitored

Data / Parameter: No. of households in which CHULIKA appliances will be used Unit: Number Description: Total Number of Households to which CHULIKA appliances has been given to the beneficiaries after the project got registered. Measured/ Measured Calculated / Default: Source of data: Field data collated and entered into the Online Monitoring Solution of JSMBT Value(s) of Till 31st July 2013, the number of households in which CHULIKA is monitored being used is 16,294. parameter: Version 03.2 Page 13 of 28

F-CDM-MR Monitoring There is no monitoring equipment. After the project/roll out team equipment: installs the stoves, the list of households along with the details of stove ID, SHK number and date of installation is provided to the project documentist for updating the monitoring solution.

The End User Agreement with JSMBT, in which the date of dissemination, the name of the user, the address, unique identification, Village, Taluk, District where the user is residing is noted, to irrefutably identify the user.

The CHULIKA has an identification number (Appliance-ID) which is also noted in the End User Agreement. The information from the End User Agreement is also recorded in the online monitoring database designed for monitoring of the project activity. This is maintained by JSMBT throughout the crediting period. Measuring/ Measuring continuously on daily basis as and when CHULIKA are Reading/ installed. Recording frequency: Calculation method Count of all the families to which Chulika has been installed. (if applicable): QA/QC procedures: -The database entries are made by the Hobli workers of JSMBT. These entries are supervised by the CDM Coordinator. -The database records and copies of the End User agreement are maintained at the JSMBT office. -The Board of Directors check the End User Agreements. In case of inconsistencies, the assigned CDM coordinator takes appropriate corrective actions, guided by the Board Members of JSMBT. - The information can be triangulated with the End User Agreement signed with the household. Purpose of data: According to the “Guidelines on completing the monitoring report”, Version 4, the purpose of data needs to be in terms of calculation of baseline emissions, project emissions or leakage. But according to the methodology, the data is directly used to estimate emission reductions for the project activity. Additional comment: Emission Reductions are calculated for only installed and operational stoves.

Data / Parameter: Start date of usage of appliances by the family Unit: dd/mm/yy Description: The start date of usage of CHULIKA by each of the households. Measured/ On-line monitoring solution of JSMBT Calculated / Default: Source of data: The data is from the Online monitoring solution and can be triangulated with the End User Agreement. Value(s) of -The start date of usage of CHULIKA for the households is included monitored in the Microsoft Excel file JSMBT CER Calculations.xlxs parameter:

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F-CDM-MR Monitoring -For each CHULIKA appliance that has been disseminated to the equipment: communities, the information has been recorded in the End User Agreement and also stored electronically in the online monitoring solution along with identification number of the appliance and the type. -The End User Agreement has been signed with the Participating Family approximately 1 week after satisfactory functioning of CHULIKA. Measuring/ Measuring continuously on daily basis as and when CHULIKA are Reading/ installed. Recording frequency: Calculation method Not applicable (if applicable): QA/QC procedures: Data is collected from the End User Agreement, tallied with the time of stock arrival and dissemination. The data is stored for the crediting period of the project activity and an additional two years. Purpose of data: According to the “Guidelines on completing the monitoring report”, Version 4, the purpose of data needs to be in terms of calculation of baseline emissions, project emissions or leakage. But according to the methodology, the data is directly used to estimate emission reductions for the project activity. Additional From this start date the emission reductions are calculated. comment:

Data / Parameter: ηnew Unit: Fraction Description: Efficiency of CHULIKA Measured/ Measured. This is through water-boiling Test for every year of Calculated / operation Default: Source of data: According to the registered PDD, water boiling test will be carried out every year on representative samples using the standard testing protocol developed by PCIA. After one year, a one-year-old stove will be tested; whereas after two years, a one-year- and a two-year-old stove will be tested. The value obtained from the test will be used to calculate the emission reductions of the systems for that year of operation. Value(s) of The applied value for Emission Reduction Calculations is 0.308. monitored This is the first monitoring period from 31-May-2012 to 31-July- parameter: 2013. The first stove was installed on 08-08-2012. Hence all the stoves installed under the project are less than one year. The value applied is therefore 0.308, the efficiency of CHULIKA as determined by the manufacturer at the time of installation. Here though a higher efficient stove has been implemented, as per PDD, a value of 0.308 has been applied for emission reduction calculations. Monitoring According to the PDD, sample stoves will be tested for efficiency to equipment: obtain a 90/10 precision (90% confidence interval and 10% margin of error). In cases where the result indicates that 90/10 precision is not achieved, the lower bound of a 90% confidence interval of the parameter value will be chosen as an alternative to repeating the survey efforts to achieve the 90/10 precision. Since, it is less than a year since the first stove has been installed; the stove efficiency as determined by the manufacturer (for the earlier Chulika stove model at 30.8% efficiency) has been applied and was not tested.

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F-CDM-MR Measuring/ The stoves will be tested on an annual basis. During this Reading/ monitoring period, since all the stoves are less than one year since Recording installation, the efficiency as stated in the PDD (which is less than frequency: the actual efficiency of the stove installed) has been taken for emission reduction calculations. Calculation method Not applicable during this monitoring period (if applicable): QA/QC procedures: The CHULIKA model (Aadi Sri Shakti model) has been implemented which has an efficiency of 40.29% or 0.4029. The emission reduction has been estimated at an efficiency of 30.8% or 0.308 as mentioned in the registered PDD, which is conservative. Purpose of data: According to the “Guidelines on completing the monitoring report”, Version 4, the purpose of data needs to be in terms of calculation of baseline emissions, project emissions or leakage. But according to the methodology, the data is directly used to estimate emission reductions for the project activity. Additional The efficiency of the implemented CHULIKA (Aadi Sri Shakti model) comment: is 40.29%, which the efficiency considered for emission reduction calculations is 30.8%. This is in line with CDM-EB65-A05-STAN “Standard Clean development mechanism project standard, Version 5.0, Para 83, wherein project participants shall ensure that the proposed small- scale CDM project activity remains, for every year during the crediting period, within the limits of the type of project activity defined in paragraph 81 above. If during its implementation and monitoring the project activity goes beyond the limit of its type in any year of the crediting period, the GHG emission reductions that can be claimed during this particular year shall be capped at the maximum GHG emission reductions estimated in the registered PDD for that year during the crediting period. Hence the emission reduction has been capped at 2.01 tCO2/family/yr for the project activity at 30.8% efficiency as mentioned in the PDD.

Data / Parameter: Operation days of CHULIKA Unit: Number Description: No. of days in a year CHULIKA will be operational Measured/ Measured Calculated / Default: Source of data: This is calculated based on the recording of non-operational days. The non-operational days for every household is recorded by village animators and entered into the pass-book and pass-sheet. This is collated for all the households in which CHULIKA has been installed. Value(s) of The operational days for 16,294 households is calculated and monitored included in JSMBT CER Calculations_V2.xlsx. parameter: Monitoring There is no monitoring equipment. It is recorded by the village level equipment: animator and entered into pass-book then collated into pass-sheet for each village and entered into Microsoft Excel sheet for all the households by the Project Documentist.

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F-CDM-MR Measuring/ The data is collected by the village animator weekly once for each Reading/ and every households and data entered for all the days of the week Recording into the monitoring solution. frequency: Calculation method Days for which ER is calculated during the Monitoring Period (if applicable): minus Non-operational days = Total operational days of CHULIKA for a household. QA/QC procedures: As per the methodology, the number of non-operational days need not be measured. To be conservative and reduce uncertainty, the ERs are deducted for the days CHULIKA units are not functional and only account for actual operational days. Purpose of data: According to the “Guidelines on completing the monitoring report”, Version 4, the purpose of data needs to be in terms of calculation of baseline emissions, project emissions or leakage. But according to the methodology, the data is directly used to estimate emission reductions for the project activity. Additional This information is included in the excel ER calculations sheet comment: JSMBT CER Calculations_V2.xlsx

Data / Parameter: Non-usage of CHULIKA Unit: Days Description: Usage of non-renewable biomass in case of non-performance of CHULIKA Measured/ Measured Calculated / Default: Source of data: The non-operational days for every household is recorded by village animators and entered into the pass-book and pass-sheet. This is collated for all the households in which CHULIKA has been installed. Value(s) of The non-operational days for the households when CHULIKA was monitored under repair is calculated and included in JSMBT CER parameter: Calculations_V2.xlsx. In all 204 CHULIKA stoves were under repair accounting for 11,127 stove days non-operational.

No. of Total fuel wood Use on Event days traditional cook stove (t) Due to Repair of Stove 11,127 89.63

Monitoring There is no monitoring equipment. It is recorded by the village level equipment: animator and entered into pass-book then collated into pass-sheet for each village and entered into Microsoft Excel sheet for all the households by the Project Documentist. Measuring/ The data is collected by the village animator weekly once for each Reading/ and every households for the week. The daily data is recorded and Recording maintained for emission reduction calculations. frequency: Calculation method Date of Repair – Date of complaint recorded for Repair+1 (inclusive (if applicable): of both days) = No. of days of non-use of CHULIKA

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F-CDM-MR QA/QC procedures: As per the methodology, the number of non-operational days need not be measured. To be conservative and reduce uncertainty, the ERs are deducted for the days CHULIKA units are not functional and only account for actual operational days. Purpose of data: According to the “Guidelines on completing the monitoring report”, Version 4, the purpose of data needs to be in terms of calculation of baseline emissions, project emissions or leakage. But according to the methodology, the data is directly used to estimate emission reductions for the project activity. Additional This information is included in the excel ER calculations sheet comment: JSMBT CER Calculations_V2.xlsx

Data / The traditional cook stove are disposed/not used in the Parameter: households in which CHULIKA is implemented Unit: Numbers Description: The low efficient traditional cook stove is disposed during the implementation of the project activity. In subsequent years, they not used in the households in which CHULIKA is implemented. Measured/ Measured Calculated / Default: Source of data: The traditional stove use for every household is recorded by village animators and entered into the pass-book and pass-sheet. This is collated for all the households in which CHULIKA has been installed. Value(s) of monitored Total fuel parameter: wood Use on Event No. of days traditional cook stove (t) Animal Feed and Bread Making 3283 14.58 Animal Feed Cooking 11984 35.36 Complete Cooking 163513 1317.06 Milk and Water boiling 4109 7.01 Milk and Water boiling and Animal Food 2436 11.34 Milk Boiling 18053 6.77 Milk Boiling and Animal Food 3661 12.18 Milk Boiling and Bread Making 9044 16.86 Bread Making 506128 754.05 Water Boiling 429198 570.96 Water boiling and Animal Food 3528 15.10 Water Boiling and Bread Making 620312 1749.37

Monitoring The usage of the traditional cook stoves is recorded by the village equipment: animators for each of the beneficiary. The items cooked on traditional stove are recorded, so as to ensure that the wood fuel consumption by those stoves is excluded from By in equation 2.

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F-CDM-MR Measuring/ The data is collected by the village animator weekly once for each Reading/ and every households. Recording frequency: Calculation The food for which the traditional cook stove was used and the method number of days used is recorded by the village animator during his (if applicable): weekly visits for each and every household. These are collated for the monitoring period and the per cent of fuel wood used for the various cooking items was excluded to ensure that the wood fuel consumption of those stoves is excluded from By in the equation to calculate emission reduction. QA/QC A field survey was conducted to estimate the quantity of fuel wood procedures: use for various cooking activities on traditional stove. The use of baseline stoves for the recorded cooking activities is estimated to exclude from By for ER calculations. Purpose of data: The data is to ensure that the wood fuel consumption on those stoves is excluded from By in the equation of the methodology to estimate emission reduction. Additional comment:

Data / Parameter: The number of improved cook stoves that would get replaced during the crediting period Unit: Number Description: If the stove is damaged and cannot be repaired, the stove will be replaced by another CHULIKA. Measured/ Measured Calculated/ Default: Source of data: On-line monitoring database Value(s) of There were no CHULIKAs which were replaced during this monitored monitoring period 31-05-2012 to 31-07-2013. parameter: Monitoring There is no monitoring equipment. This is done by the monitoring equipment: staff. Measuring/ As and when CHULIKA gets replaced. Reading/ Recording frequency: Calculation method There are no calculation methods. (if applicable): QA/QC procedures: In case the replacement of CHULIKA within the household is necessary, e.g. due to damage, the household will receive a new CHULIKA with a corresponding new identification number (Appliance ID). The household will sign a new end user agreement where the number is noted and updated on the online monitoring database. Purpose of data: To monitor that the replaced stove is of an equivalent service appliance and the efficiency of the new appliances is similar to the appliances being replaced. Additional A copy of the old agreement will be stapled with the new comment: agreement, and the same will be updated on the online monitoring database. The last date of use of the old CHULIKA will be recorded.

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F-CDM-MR Data / Parameter: Diversion of non-renewable biomass saved under the project activity by non-project households Unit: tonnes / year Description: Diversion of non-renewable biomass saved under the project activity by non-project households Measured/ Stratified annual sample survey Calculated / Default: Source of data: Leakage data is based on sample survey of non-CHULIKA users. To be conservative, it is based on latest version of the methodology, II.G, Version 6. Value(s) of According to the survey conducted during for the monitoring monitored period 2012-13 detailed in section D.3, there is no diversion of non- parameter: renewable biomass saved under the project activity by non-project households. -But to be conservative, By is multiplied by a net to gross adjustment factor of 0.95 to account for leakages. Monitoring -There is no monitoring equipment for this monitoring parameter. It equipment: is based on sample survey of non-biogas users. -But to be conservative in calculations, By is multiplied by a net to gross adjustment factor of 0.95 to account for leakages (based on the latest version of II.G methodology, Version 6) Measuring/ Annual stratified sample survey Reading/ Recording frequency: Calculation method Based on the sample survey, there is no discounting factor to be (if applicable): applied. But based on the latest methodology version, leakage is accounted as By * 0.95 = 24093.44 t x 0.95 = 22888.77 t for the monitoring period. Thus leakage is 24093.44 – 22888.77 t= 1204.67 t for the monitoring period. QA/QC procedures: Though the survey does not imply diversion of non-renewable biomass saved under the project activity by non-project households, to be conservative, By is multiplied by a net to gross adjustment factor of 0.95 to account for leakages. Purpose of data: To calculate leakage from the project activity Additional Though Version 2 of II.G. methodology does not discount for comment: leakage, to be conservative and decrease uncertainty, By has been multiplied by 0.95.

Data / Parameter: fNRB,y Unit: Fraction Description: Fraction of woody biomass saved by the project activity in year y that can be established as non-renewable biomass Measured/ Calculated Calculated / Default: Source of data: As calculated in the registered PDD, from published literature. Value(s) of 0.947 monitored parameter:

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F-CDM-MR Monitoring There are no monitoring equipment equipment:

Measuring/ Based on latest available data to calculate fNRB,y Reading/ Recording frequency:

Calculation According to the latest data available, the fNRB for Karnataka is 0.95, method as shown below: (if applicable): A national study was conducted by the Forest Survey of India, Ministry of Environment and Forests, Government of India to assess the woody biomass demand and availability at the state and national level4. Based on the study, the consumption of fuel wood for each of the state was determined based on surveys conducted at household level for each of the state. The annual production of wood from forests was determined from records of each of the forest division in the state. Using this data, the state and national level data was generated. Further, the production of wood and fuel wood from the trees outside forests was determined from short rotation, medium rotation and long rotation species. Also the trees harvested for industrial wood provide substantial quantity of fuel wood as by- product. This has also been accounted for the production fuel wood from trees outside forests. Thus according to the study, the total fuel wood consumption for Karnataka state is 20.967 Mt. Fuel wood production from forests and from trees outside Forests account for 0.03 Mt and 0.907 Mt respectively. Therefore the total fuel wood production of DRB component is 0.937 Mt. Thus the NRB component of fuel wood consumption is 20.03 Mt. This accounts for an fNRB of 0.95. Thus, the fraction of non-renewable woody biomass based on the latest data available is 0.95.

Parameter Value Source of Data Fuel wood Consumption State of Forest Report, (t) 2,09,67,000 Forest Survey of India, Fuel wood production Ministry of Environment from Forest (t) 30,000 and Forests, Fuel wood production Government of India, from trees outside 9,07,000 2011 Forests (t) (Consumption) minus (Production from forests Non-Renewable and outside forests) Biomass (NRB) (tonnes) 2,00,30,000 2,09,67,000 – (30,000+9,07,000) Production from forests Demonstrably and from trees outside Renewable Biomass 9,37,000 forests (DRB) (tonnes) (30,000+9,07,000) NRB 0.95 Based on formula given f NRB,y  in I.E. Version 4 NRB  DRB methodology

The fNRB as calculated in the PDD is 0.947. Since, this value is conservative, instead of 0.95, a value to 0.947 has been used for calculations.

4 State of Forest Report. 2011. Forest Survey of India, Ministry of Environment and Forests, Government of India(Chapter 7, Page no’s 72, 73 and 77). Version 03.2 Page 21 of 28

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QA/QC The value of fNRB,y as calculated in the registerd PDD based on the procedures: study conducted by Ramachandra, 2007 was 0.947 for Karnataka. Based on latest data available Forest Survey of India, the value is 0.95. The conservative value of 0.947 has been considered for emission reduction calculations. Purpose of data: According to the “Guidelines on completing the monitoring report”, Version 4, the purpose of data needs to be in terms of calculation of baseline emissions, project emissions or leakage. But according to the methodology, the data is directly used to estimate emission reductions for the project activity. Additional T.V. Ramachandra, 2007. Geospatial mapping of bioenergy potential comment: in Karnataka, India. Journal of Energy & Environment, Vol 6, May 2007.

D.3. Implementation of sampling plan The data monitored for the project activity through implementation of a sampling plan is “diversion of non-renewable biomass saved under the project activity” by non-project households. For the parameter, an annual stratified sample survey of non-CHULIKA users using traditional cook stoves in the project boundary was conducted. (i) Objectives and Reliability Requirements: The objective of the sampling effort is to assess if there is diversion of non-renewable biomass saved under the project activity by non-project households. The sample size was determined to obtain 90/10 confidence/precision levels. (ii) Target Population: The target population is the rural non-project households using traditional cook stoves in the villages where Chulika have been implemented under the project activity. (iii) Sampling Method: The sampling method chosen for the project area is stratified random sampling, wherein each Hobli is a stratum. It is easy to implement as the villages in all the Hoblis where Chulika has been implemented is known and stored in the monitoring database. Each of the four Hoblis – Arkera, Devadurga, Gabbur and Jalhalli was treated as a stratum. Thus sampling was done for each of the Hobli to ensure that all the areas were well represented. v) Sampling Frame: The sampling frame that was used were the households using traditional cook stoves (non-Chulika households) or non-project households in the same villages where Chulika has been installed in selected households. These are in Arkera, Devadurga, Gabbur and Jalhalli Hoblis of Devdurga Taluk, Raichur District, Karnataka. vi) Determination of sample size: For determination of sample size to assess if there is diversion of non-renewable biomass saved under the project activity by non-project households, the sample size was determined to obtain 90/10 confidence/precision levels. The sample frame is homogeneous, wherein the families are from rural region form similar socio-economic strata and similar cooking habits. Thus, the sample size required to achieve a required level of reliability was calculated based on the following formula: The sample size was determined as follows (Bill Godden, 2004)5: Sample size of infinite population (where the population is greater than 50,000) z 2 ( p)(1 p) SS  C 2 Where SS = Sample size Z = Z value (e.g. 1.645 for 90% confidence level) P = 0.5 Percentage of population picking a choice (assuming percentage of non-project population that are now changed to using NRB saved from the project activity), expressed as decimal

5 http://williamgodden.com Version 03.2 Page 22 of 28

F-CDM-MR C = Confidence interval, expressed as decimal (0.1 - 10% confidence interval) 1.6452  (0.5) (1 0.5) SS  2  67.65  68 0.1 The sample survey was conducted during May 2013.The stratification was done as follows:

Number of No. of No. of HHs to be households Hobli Households surveyed surveyed 3889 30 68  16 Arkera 3,890 16294 4117 32 68  17 Devadurga 4,120 16294 3548 30 68  15 Gabbur 3,547 16294 4738 30 68  20 Jalhalli 4,737 16294 Total 16,294 68 122 The villages were selected randomly using random sample selection in Microsoft excel and again random selection of households in each village. The details of the villages visited and the number of households visited for the survey is as follows:

Hobli Village Number of Households surveyed Arkera Alkod 6 Bandegud 6 Buddinni 6 Markamdinni 6 Pandyan 6 Devadurga Anjal 7 Herur 6 Karegud 7 Miyapur 6 Nagargund 6 Gabbur Bommanhal 6 Hirebudur 6 Ingaladhal 6 Shavantgera 6 Sunkeshwarhal 6 Jalhalli Amrapur 6 Devatgal 6 Herundi 6 Kakkaldoddi 6 Mundargi 6 Total 122

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F-CDM-MR It can be seen that the number of households covered for the sample surveys is more than adequate to represent the parameters in the project area. Oversampling was done as a good practice to compensate for any attrition, outliers or non-response associated with the sample.

(b) Data: (i) Field Measurements: A household level questionnaire was designed to collect information for the parameters of interest. The frequency of measurement is once a year during the monitoring period. Data was collected for the monitoring year 2012-13. (ii) Quality Assurance/Quality Control: The QA/QC procedure was to achieve good quality data through field measurements. The household level questionnaire was designed and field tested before administering the actual questionnaire survey. The survey was done by the FCN Technical Team. Oversampling was done to replace non-respondents, if any. The data collected was entered by and further cross-checked by the FCN Team. The households were selected randomly without any bias. (iii) Analysis: The data entry was done in Microsoft excel sheet. The data was cross checked with the filled in questionnaire by FCN as QA/QC procedure. The data was analyzed for responses to the parameters. (c) Implementation: (i) Implementation Plan: The implementation of sampling effort was done the FCN Technical Team. The FCN has the skill and resources to implement the sampling procedure. The team is experienced with rural energy CDM projects implemented for the rural poor. The collected data was analysed by the FCN for inclusion in the monitoring report.

(d) Analysis of the collected data Confirmation that non-renewable biomass has been substituted was through annual sample surveys conducted as described in section above. Based on the survey, there has been complete replacement of non-renewable biomass in the project area. The survey of non-Chulika users show that 100% of families respond to no increase in fuel wood use after the project implementation, no increase in cut and carry of fuel wood and no replacement of crop residues (renewable biomass) by fuel wood. Thus all the 100% respondents of the survey continue to use the same quantity of crop residue and fallen twigs and branches even after the project activity and is not getting replaced by non-renewable wood. Thus, the survey of non-biogas users shows that there is no diversion of non-renewable biomass saved under the project activity by non-project households. There have been no events or situations that occurred during this monitoring period which has impacted the applicability of the methodology.

(e) Demonstration on whether the required confidence/precision has been met The survey conducted was for quantitative data for which confidence/precision is not required and is not included into emission reduction calculations. But, even for this parameter, a discount factor for By has been applied based on latest version of the methodology, which is conservative.

SECTION E. Calculation of emission reductions or GHG removals by sinks E.1. Calculation of baseline emissions or baseline net GHG removals by sinks According to the methodology, there are no baseline emission calculations. It is direct calculations of emission reductions, which is done as follows:

ERy = By,savings * fNRB,y * NCVbiomass * EFprojected_fossilfuel Where: ERy Emission reductions during the year y in tCO2e By,savings Quantity of woody biomass that is saved in tonnes fNRB,y Fraction of woody biomass saved by the project activity in year y that can be established as non-renewable biomass Version 03.2 Page 24 of 28

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NCVbiomass Net calorific value of the non-renewable woody biomass that is substituted (IPCC default for wood fuel, 0.015 TJ/tonne) EFprojected_fossilfuel Emission factor for the substitution of non-renewable woody biomass by similar consumers. 71.5 tCO2/TJ for Kerosene

Calculations of biomass savings (By,savings) n  B  B .L .N .(1 old ) y,savings  y y y,i  i1 new Where:

By Quantity of woody biomass used in the absence of the project activity in tonnes [2.94 t/family/yr fixed throughout the crediting period] ηold Efficiency of the baseline system/s being replaced (0.10 fixed for the entire crediting period) ηnew Efficiency of the system being replaced, measured using representative sampling methods (fraction) Ly Leakage Factor determined for the year y

Ny,i Appliance operating per year and vintage

Number of appliances operating per year (Ny,j)

N y,i N y,i  ny, j .ty, j j1 Where:

ny,j = Appliance operating per year and vintage

ty,j = Fraction of operating time per household (appliance(s)) per vintage

Determination of By Fuel wood (t) use Parameter in the Baseline Fuel wood that would have been used in the baseline during the Monitoring Period 28693.71 Fuel wood use on traditional stove along with CHULIKA; and its use due to breakdown during the Monitoring Period 4600.27 Total fuel wood that would have been used in the baseline scenario in absence of the project activity after considering use of traditional stoves during the monitoring period 24093.44

Emission Reduction Calculations (tCO2) Activity Data Value Source of data Fuel wood Consumption for the monitoring period (t) in the baseline in Calculated based on the days of use the absence of the project activity 24093.44 of CHULIKA

fNRB 0.947 Registered PDD

ɳold 0.10 Registered PDD Registered PDD (though higher efficiency stove of 40.29% has been ɳnew 0.308 disseminated) Calculated based on the II.G. By,savings due to the project activity 16270.89 methodology

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NCVbiomass (TJ/tonne) 0.015 From Methodology II.G

EFprojected_fossilfuel (tCO2/TJ for kerosene) 71.5 From Methodology II.G

ERy (tCO2) for the monitoring period Calculated based on the II.G. (before considering leakage) 16,525 methodology

E.2. Calculation of project emissions or actual net GHG removals by sinks According to the methodology, there are no project emission calculations. It is direct calculations of emission reductions as shown above. E.3. Calculation of leakage According to the methodology, Leakage relating to the non-renewable woody biomass shall be assessed from ex post surveys of users and areas from where woody biomass is sourced (using 90/30 precision for selection of samples). The following potential sources of leakage shall be considered: (a) Use/diversion of non-renewable woody biomass saved under the project activity by non-project households/users who previously used renewable energy sources. If this leakage assessment quantifies an increase in the use of non-renewable woody biomass used by the non-project households/users attributable to the project activity then By is adjusted to account for the quantified leakage. If equipment currently being utilised is transferred from outside the boundary to the project activity, leakage is to be considered. There is no equipment currently being utilized that is transferred from outside the boundary to the project activity to consider leakage.

Emission Reduction Calculations (tCO2) accounting for Leakage Activity Data Value Source of data Fuel wood Consumption for the monitoring period (t) in the Calculated based on the baseline 24093.44 days of use Applying the latest Version 5 Accounting for leakage (By*0.95) 22888.77 of the methodology II.G

fNRB 0.947 Registered PDD

ɳold 0.10 Registered PDD

ɳnew 0.308 Registered PDD Calculated based on the II.G. By,savings due to the project activity 15,457 methodology

NCVbiomass (TJ/tonne) 0.015 From Methodology II.G EFprojected_fossilfuel (tCO2/TJ for kerosene) 71.50 From Methodology II.G

ERy (tCO2) for the monitoring Calculated based on the II.G. period (after considering leakage) 15,699 methodology E.4. Summary of calculation of emission reductions or net anthropogenic GHG removals by sinks

Emission Baseline Project reductions or emissions or emissions or net baseline net actual net Leakage Item anthropogenic GHG removals GHG removals (t CO e) 2 GHG removals by sinks by sinks by sinks (t CO2e) (t CO2e) (t CO2e) Total 16,525 0 826 15,699

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E.5. Comparison of actual emission reductions or net anthropogenic GHG removals by sinks with estimates in registered PDD

Actual values Values estimated in ex-ante Item achieved during this calculation of registered PDD monitoring period Emission reductions or 44,7776 15,699 GHG removals by sinks (t CO2e)

E.6. Remarks on difference from estimated value in registered PDD

There was no increase in the actual emission reductions achieved during the current monitoring period compared to that estimated in the registered PDD. There was a decrease in the emission reductions achieved during the current monitoring period to that projected in the PDD due to the following reasons: - Chulika has been distributed and commissioned in only 16,294 households, against 21,500 which are used for ER calculations in the PDD. - The Chulika units have been distributed and commissioned in a phased manner village by village spanning throughout the year and not according to that projected in the PDD @ 5000/month. - There was further reduction in emission reduction as the wood fuel consumption on traditional stoves (4600.27 t) has been excluded from By in the equation of the methodology for estimation of emission reduction. - To be conservative, leakage has also been accounted for, thereby further reduction in emission reductions. Thus the emission reduction achieved during the monitoring period is less than that estimated in the PDD.

E.7. Actual emission reductions or net anthropogenic GHG removals by sinks during the first commitment period and the period from 1 January 2013 onwards

Actual values achieved Actual values achieved Item from 1 January 2013 up to 31 December 2012 onwards Emission reductions or 2,141 13,558 GHG removals by sinks (t CO2e)

- - - - -

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F-CDM-MR Document information

Version Date Description

03.2 5 November 2013 Editorial revision to correct table in page 1. 03.1 2 January 2013 Editorial revision to correct table in section E.5. 03.0 3 December 2012 Revision required to introduce a provision on reporting actual emission reductions or net anthropogenic GHG removals by sinks for the period up to 31 December 2012 and the period from 1 January 2013 onwards (EB70, Annex 11). 02.0 13 March 2012 Revision required to ensure consistency with the "Guidelines for completing the monitoring report form" (EB 66, Annex 20). 01 28 May 2010 EB 54, Annex 34. Initial adoption. Decision Class: Regulatory Document Type: Form Business Function: issuance Keywords: monitoring report, performance monitoring

Version 03.2 Page 28 of 28