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1 report form (Version 03.2) report Title of the project activity Improved Household Charcoal Stoves in Mali Reference number of the project activity GS 414 Version number of the monitoring report Version 4 Completion date of the monitoring report 05/09/2014 Registration date of the project activity 09/09/2009 period number and duration of this monitoring period Project participant(s) Host Party(ies) Sectoral scope(s) and applied methodology(ies) period number 5 01/01/2013 to 31/03/2014 E+Carbon GIE Katene Kadji Republic of Mali Sectoral Scope 3 (Energy Demand) Estimated amount of GHG emission reductions or net anthropogenic GHG removals by sinks for this monitoring period in the registered PDD Actual GHG emission reductions or net anthropogenic GHG removals by sinks achieved in this monitoring period Actual GHG emission reductions or net anthropogenic GHG removals by sinks achieved during the period up to 31 December 2012(if applicable) Actual GHG emission reductions or net anthropogenic GHG removals by sinks achieved during the period from 1 January 2013 onwards (if applicable). Gold Standard Voluntary Methodology Indicative Programme, Baseline, and Methodology for Improved Cook- Stoves and Kitchen Regimes, Version 1. And Technologies and Practices to Displace Decentralized Thermal Energy Consumption dated 11/04/ ,632 (78,833 for 2013 and 21,799 for 1 quarter in 2014; calculated by dividing 87,198 by 4) 278, ,391 Version 03.2 Page 1 of 23

2 SECTION A. Description of project activity A.1. Purpose and general description of project activity The project reduces greenhouse emissions by disseminating fuel-efficient charcoal stoves known as Sewa. The Sewa stove consists of hourglass shaped metal cladding with perforated interior ceramic liner that allows ash to fall to the collection chamber at the base. A thin layer of cement is placed between the cladding and the liner. During use, a single pot rests at the top of the stove. See diagram below for further details. The design of all five sizes listed above is identical. The ceramic liner s capacity to increase combustion and retain heat is at the heart of the stove s efficiency. It consumes between 30% and 40% less charcoal than the traditional metal stove. The stoves are manufactured in five different sizes. All of which promoted by the project. a. Extra Large (Super Grand Format) b. Large (Grand Format) c. Medium (Moyen Format) d. Small (Petit Format) e. Tea (Thé Format) The project is based on pilot work by Katene Kadji, Mali. Katene was established in 1995 and has been selling improved biomass cook stoves in Mali since It is owned and managed by Ousmane Samassekou, a highly educated entrepreneur who has started other businesses in Bamako, Mali, and Delhi, India. While these stoves significantly reduce greenhouse gas emissions, they simultaneously provide co-benefits to users and families in the form of relief from high fuel costs, reduced exposure to health-damaging airborne pollutants, faster cooking (resulting in time-savings), and increased cleanliness and convenience. Finally, they curb deforestation by decreasing demand for charcoal. Currently, inefficient and polluting cooking regimes are deeply entrenched in Malian culture. With the support of carbon finance, this project is breaking this trend and moving large populations away from high GHG emissions, indoor air pollution and deforestation. The project has been distributing Sewa stoves since December 1, 2007 with 173,051 stoves sold as of March 31, The use of these stoves has resulted in a reduction of 750,489 tonnes of CO2e, 278,391 of which during this monitoring period. A.2. Location of project activity Mali, West Africa Version 03.2 Page 2 of 23

3 Coordinates: N, W The majority of the project stoves are sold in Bamako, the Capital City. A.3. Parties and project participant(s) Party involved ((host) indicates a host Party) Private and/or public entity(ies) project participants (as applicable) Indicate if the Party involved wishes to be considered as project participant (Yes/No) Mali (host) Katene Kadji No United States E+Carbon No A.4. Reference of applied methodology Indicative Programme, Baseline, and Methodology for Improved Cook-Stoves and Kitchen Regimes, Version 1. And Technologies and Practices to Displace Decentralized Thermal Energy Consumption (11/04/2011) A.5. Crediting period of project activity 10 years, fixed crediting period Crediting period start date: 09/09/2007 (two years before the project s registration date which is 09/09/2009) SECTION B. Implementation of project activity B.1. Description of implemented registered project activity Katene Kadji has been manufacturing and selling Sewa stoves under the project activity since December 1, ,525 were disseminated during the monitoring period and 122,463 stoves during previous periods. The total GHG reduction resulting from the use of previously sold stoves and current sales amounts to 278,391 tonnes of CO2e in this monitoring period In parallel with stove sales, a rigorous monitoring of the project activity has been ongoing in accordance with the monitoring plan. The monitoring activities are summarized below. Date Activity Purpose December 1, 2007 December 31, 2012 Sales recording Establish sales database to track number of stoves sold and determine clusters for kitchen surveys March 6-27, 2008 Non-Renewable Biomass Baseline Study Determine percentage of nonrenewable biomass Version 03.2 Page 3 of 23

4 March April 2008 Baseline Kitchen Performance Tests Baseline Kitchen Surveys Determine baseline charcoal savings and clusters October 8-14, 2008 Kitchen Surveys Determine if clusters are still November 15-21, 2008 Kitchen Surveys Determine if clusters are still April 13-27, 2009 Kitchen Surveys Determine if clusters are still July 20 August 9, 2009 Kitchen Surveys Determine if clusters are still July 20 September 17, 2009 Kitchen Surveys Determine if clusters are still December 28, 2009 January 16, 2010 Kitchen Surveys Determine if clusters are still April 9-23, 2010 Kitchen Surveys Determine if clusters are still Determine if baseline NRB has changed July 2010 Non-renewable biomass assessment July 12-15, 2010 Aging stove KPT Determine performance of stoves as they age July 5-20, 2010 Usage surveys Determine percentage of stoves sold in previous years that are still in use January 4-13, 2011 Kitchen Surveys Determine if clusters are still April 22-May 4, 2011 Kitchen Surveys Determine if clusters are still December 10-30, 2011 Kitchen Surveys Determine if clusters are still February 11-25, 2012 Kitchen Surveys Determine if clusters are still December 1, 2001 January 15, 2012 Non-renewable biomass assessment Determine if baseline NRB has changed September 15-30, 2012 Kitchen surveys Determine if clusters are still September 17-24, 2012 Stove age Kitchen Performance Tests Determine performance of stoves as they age September 15-30, 2012 Usage survey Determine percentage of stoves sold in previous years that are still in use October 7-27, 2013 Kitchen Surveys Determine if clusters are still B.2. Post registration changes B.2.1. Temporary deviations from registered monitoring plan or applied methodology None B.2.2. Corrections None B.2.3. Permanent changes from registered monitoring plan or applied methodology The registered monitoring plan was revised prior to the 2012 verification to replace quarterly Kitchen Surveys with annual Kitchen surveys and to allow the re-assessment of the NRB as per the new methodology Version 03.2 Page 4 of 23

5 Technologies and Practices to Displace Decentralized Thermal Energy Consumption (11/04/2011) The changes were approved by the Gold Standard Foundation on July 20 th, and were applied for the first time during the third periodic verification for the monitoring period 01/09/2010 to 31/12/2011. B.2.4. Changes to project design of registered project activity None B.2.5. Changes to start date of crediting period None B.2.6. Types of changes specific to afforestation or reforestation project activity Not Applicable SECTION C. Description of monitoring system The monitoring system consists of tracking ceramic liner production, ceramic liner sales and stoves sales. All the stoves sold by the project have ceramic liners produced by Katene Kadji. Strict control is put on the liner production line from the time the clay is mixed to the time the liners come out of the kilns stoves. The purpose of this step is not only for checking the internal efficiency of the Katene but also to control the quality of the liners. Faulty liners don t make it to the sales stock. The stock is distributed among the network for metal artisans who work with Katene. Each artisan shop is labelled by a code name and at time of liner pick up they get a receipt with the numbers of liners they are purchasing, the size of liners and the date of purchase. A copy of this receipt is kept by Katene. When the artisans finish a stove and sell it to an end user, they record the information in a ledger that is picked-up monthly by Katene and entered in an excel spreadsheet. A comparison is then made between the number of liners purchased by the artisan and the number of stoves sales reported by the same artisan to ensure that there is no discrepancy. Stoves manufactured and sold by Katene are tracked daily in a ledger then transferred in an excel database. The database is sent quarterly to E+Carbon. The use and performance of the stoves are every other year (as indicated by the methodology) through a Usage Rate survey and Kitchen Performance Test. These surveys use the sales database to calculate sample size and locate end users. Emission reductions are also calculated from the same database. Every year, a kitchen survey is conducted on a sample of end users to determine whether the population profile of stove users has changed enough to re-visit the baseline scenario of the project. Usage rate studies, Kitchen Performance tests and kitchen surveys are conducted by an independent third party, Berkeley Air Group. Data is collected by a team of surveyors from a local consultancy. They are supervised in the field by a project manager from Berkeley who checks the data as it is collected. This project manager is in turn supervised by BA Technical Director who also provides another layer of quality check. 1 Gold Standard Letter_GS413_deviation_authorization.pdf Version 03.2 Page 5 of 23

6 Katene Stock Supervisor Stock Supervisor and Artisans Artisans and Katene Admin Staff E+Carbon Berkeley Air Group SECTION D. Data and parameters D.1. Data and parameters fixed ex ante or at renewal of crediting period EF bl.bio,co2 Value(s) applied): tco2/t_biomass CO2 emission factor arising from use of wood-fuel in baseline scenario 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Tables 1.2/1.4 Calculation of baseline emissions EF pj.bio,co2 Value(s) applied): tco2/t_biomass CO2 emission factor arising from use of wood-fuel in project scenario 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Tables 1.2/1.4 Calculation of project emissions EF bl.bio,non-co2 Value(s) applied): tco2/t_biomass Non-CO2 emission factor arising from use of wood-fuel in baseline scenario CH4 and N2O: IPCC 2006 GL for emission factors and NCVs, IPCC SAR 1996 for GWPs. Calculation of baseline emissions Version 03.2 Page 6 of 23

7 EF pj.bio,non-co2 Value(s) applied): tco2/t_biomass Non-CO2 emission factor arising from use of wood-fuel in project scenario CH4 and N2O: IPCC 2006 GL for emission factors and NCVs, IPCC SAR 1996 for GWPs. Calculation of project emissions EF ch,prod,co2 tco2/t_ch Value(s) applied): CO2 emission factor arising from production of charcoal Emissions of greenhouse gases and other airborne pollutants from charcoal making in Kenya and Brazil, David M. Pennise, Kirk R. Smith, Environmental Health Sciences, University of California, Berkeley, California. Journal of Geophysical Research Vol 106 October Calculation of baseline and project emissions EF ch,prod,non-co2 tco2/t_ch Non-CO2 emission factor arising from production of charcoal CO2, CH4, N2O GWPs from (IPCC SAR 1996). Value(s) applied): Calculation of baseline and project emissions EF ch,use,co2 tco2/t_ch Value(s) applied): CO2 emission factor arising from consumption of charcoal Product of NCVch (IPCC 2006 GL default 29.5 MJ/kg) and Emission factor (energy basis) for charcoal (IPCCC 2006 GL default 112 tco2/tj) x 10^-3 Calculation of baseline and project emissions EF ch,use,non-co2 tco2/t_ch Version 03.2 Page 7 of 23

8 Value(s) applied): Non-CO2 emission factor arising from consumption of charcoal CH4 and N2O: IPCC 2006 GL for emission factors and NCVs, IPCC SAR 1996 for GWPs Calculation of baseline and project emissions D.2. Data and parameters Xnrb,bl,y fraction Non-renewability status of woody biomass fuel in year y in baseline scenario Calculated Berkeley Air Group 2012 NRB Study, section 2, page 12 Value(s) of 0.94 f NRB =NRB/(NRB+DRB) Study done by independent third party Calculation of baseline emissions This parameter has become a fixed parameter since 2012 after project received authorization from by the Gold Standard to use methodology Technologies and Practices to Displace Decentralized Thermal Energy Consumption for the purpose of assessing NRB. Xnrb,pj,y fraction Non-renewability status of woody biomass fuel in year y in project scenario Calculated Berkeley Air Group 2012 NRB Study, section 2, page 12 Value(s) of 0.94 Version 03.2 Page 8 of 23

9 f NRB =NRB/(NRB+DRB) Study done by independent third party Calculation of baseline emissions This parameter has become a fixed parameter since 2012 after project received authorization from by the Gold Standard to use methodology Technologies and Practices to Displace Decentralized Thermal Energy Consumption for the purpose of assessing NRB. Value(s) of Leakage t_co2e per year Potential GHG emissions outside project boundary caused by project activity Measured 2012 Berkeley Air Biannual Study 0 Once every two years Study performed by independent 3 rd party Calculation of emission reduction A detailed leakage assessment is available on section 3.1 of Berkeley Air s 2012 Biannual report Bbl,y kg_biomass/hh-day Mass of woody biomass combusted in the baseline in year y Measured 2008 Berkeley Air Baseline and Project Scenario Study, pages 6 and 9 Version 03.2 Page 9 of 23

10 Value(s) of Stove size Charcoal Wood GF MF Digital Hanging Scales Manufacturer: Salter Brecknell Model: ElectroSamson Digital Hanging Scales Capacity: 25kg Readability: 0.01 kg Last calibrated on May 21, 2012 Once every two years Kitchen Performance Test Performed by independent 3 rd party Calculation of emission reduction This parameter is fixed unless kitchen surveys reveal that clusters have changed. Values are available for stove size GF and MF as KPT was performed on these two sizes only. The savings resulting from the KPT were adjusted for other sizes. Bpj,y kg_biomass/hh-day Mass of woody biomass combusted in the project in year y Measured 2008 Berkeley Air Baseline and Project Scenario Study 2010 Berkeley Air Biannual Study 2012 Berkeley Air Biannual Study Version 03.2 Page 10 of 23

11 Value(s) of Stove Consumption-charcoal size Age SGF GF MF PF TF Stove Consumption-wood size Age SGF GF MF PF TF Digital Hanging Scales Manufacturer: Salter Brecknell Model: ElectroSamson Digital Hanging Scacles Capacity: 25kg Readability: 0.01 kg Last calibrated on May 21, 2012 Once every two years Kitchen Performance Test Performed by independent 3 rd party Calculation of emission reduction The consumption values for GF and MF for age 0-1 are taken directly from the Berkeley Air 2008 report. The values for all the other sizes are expressed in savings rather than consumption in the report. Subsequent reports also provide savings values. Project consumption is therefore calculated as baseline consumption savings (per stove size and age group) =project consumption Usage in year y fraction Percentage of stoves of age x remaining in use in year y Calculated Version 03.2 Page 11 of 23

12 2012 Berkeley Air Biannual Study, section 3.2, page 12 Value(s) of 0-1 year 100% 1-2 year 94.7% 2-3 year 89.4% 3-4 year 82.2% 4-5 year 75% 5-6 year 70% (estimated) year 65% The estimated usage for stoves aged 5-6 and 6-7 is based on the trend of drop-off rate of 5 to 7% every year. In case the 2014 Usage Survey results reveal that the usage rate is lower than 70% (as applied this year) the excess VER resulting from this year s issuance will be deducted in the next issuance. Once every two years Performed by independent 3 rd party Calculation of aggregate emission reduction The estimated usage for stoves aged 5-6 and 6-7 is based on the trend of drop-off rate of 5 to 7% every year. In case the 2014 Usage Survey results reveal that the usage rate is lower than 70% and 65% (as applied this year) the excess VER resulting from this year s issuance will be deducted in the next issuance. Age Fraction Adjustment to values of Bpj,,y and AFpj,i,y for stoves of age x Calculated 2008 Berkeley Air Baseline and Project Scenario Study, 2010 Berkeley Air Biannual Study and 2012 Berkeley Air Biannual Study 2 Based on previous trend of drop-off rate Version 03.2 Page 12 of 23

13 Value(s) of Stove Degradation-charcoal size Age SGF GF MF PF TF Stove Degradation-wood size Age SGF GF MF PF TF Note: Given the steep degradation of SGF and GF stoves from age 2-3 to age 3-4 for charcoal savings, stoves age 5-6 and 6-7 in this size groups are not claiming any emission reduction from charcoal use. The degradation for wood savings in stoves age 5-6 follows the same trend as the degradation slope between stoves age 3-4 and age 4-5. Stoves age 6-7 are not claiming any emission reduction from wood use. Similarly, the degradation for both charcoal and wood savings for all the other sizes follows the same trend as the degradation slope between stoves age 3-4 and age 4-5. In case the 2014 Aging KPT results reveal that the degradation factor for stoves aged 5-6 and 6-7 is lower than the values applied this year the excess VER resulting from this year s issuance will be deducted in the next issuance. Digital Hanging Scales Manufacturer: Salter Brecknell Model: ElectroSamson Digital Hanging Scales Capacity: 25kg Readability: 0.01 kg Last calibrated on May 21, 2012 Once every two years The degradation factor is calculated as the ratio between the biomass savings in 2008 and the biomass savings in the year that the factor is applicable. For instance for stoves aged 4-5, the degradation factor = 2012 charcoal savings/2008 charcoal savings and 2012 wood savings/2008 wood savings Performed by independent 3 rd party Calculation of emission reduction of older stoves. Version 03.2 Page 13 of 23

14 The degradation is used to adjust the emission factor of aging stoves using the following formula Emission Factor of stove age x-y= (charcoal emission factor of stove age 0-1*charcoal degradation factor of stove age x-y) + (wood emission factor of stove age 0-1*wood degradation factor of stove age x-y) There is no alternative fuel (AF) in the baseline and project scenario. AF pj,i,y is not a parameter under the registered PDD. Value(s) of New Stove Fraction Adjustment to values of Bpj,,y and AFpj,i,y for new stove models Calculated Once every two years KPT Calculation of emission reduction by new stove models in the project activity No new stove has been introduced in the project activity Sustainable Development Indicators as per section D of the Registered PDD Air Quality Reduced indoor air pollution (IAP) Assessed qualitatively Berkeley Air s 2012 Bi-annual Survey Version 03.2 Page 14 of 23

15 Value(s) of Out of 105 respondents, 44% indicated that their old stove produced more smoke than the Sewa stove, while 7% indicated that their old stove produced less smoke. 34% of respondents reported their old stove and the Sewa stove produced the same amount of smoke and the remaining 15% of respondents were not sure about the amount of smoke their stoves produced. Once every two years Performed by independent 3 rd party Assessment of Gold Standard sustainability indicators Value(s) of Livelihood of the Poor $ saved/year Monetary savings by stove users Calculated Berkeley Air s 2012 Bi-annual Study 0 Once every two years Performed by independent third party Assessment of Gold Standard sustainability indicators There was no monetary savings from the baseline because of increasing charcoal prices since baseline study was conducted. Employment Jobs/Year Creation of new employment Calculated Version 03.2 Page 15 of 23

16 Value(s) of Katene Employment records 1 Annually Review of employment records by E+Carbon and meeting with new employees Assessment of Gold Standard sustainability indicators One new job was created. The total number of employees is 24. Value(s) of Employment quality Working condition of Katene employees Assessed 2013 Katene records and 2012 Berkeley Air Biannual Report Katene s employees are provided with personal protection equipment. Their salaries and benefits are higher than what is prescribed by law. The minimum wage in Mali is 28,460 CFA/month. The lowest salary at Katene is 30,000 CFA All employees report having better and more stable position than what they were holding before. Annually Observation of working conditions Assessment of Gold Standard sustainability indicators Access to energy services People/year Number of people reached by the project activity Version 03.2 Page 16 of 23

17 Value(s) of Calculated Sales database and Berkeley Air 2013 Annual Report 379,891 Annually Number of stoves sold in 2013 X number of people per household 39,572 X 9.6 = 379,891 Assessment of Gold Standard sustainability indicators Value(s) of Other Pollutants Proper disposal of other pollutants generated by project activity Assessed 2012 Berkeley Air Bi-annual Report Katene Kadji sells metal pieces to scrap dealers and recycles ceramic remnants for manufacturing new Sewa stoves. The company uses paint for the stoves and burns any leftover unused paint, although there is typically little remaining after manufacturing. There are no additional sources of waste reported from Sewa stove production. Once every two years Performed by independent 3 rd party Assessment of Gold Standard sustainability indicators D.3. Implementation of sampling plan For Kitchen Surveys, households are randomly selected from the end-user database as required by the methodology. For aging KPT and usage rate survey, preference is put on households with the oldest stoves since the goal is to measure the performance and the drop-off rate of stoves as they age. Berkeley uses a hierarchy of criteria to select households for usage survey and KPT. Version 03.2 Page 17 of 23

18 Criterion #1. Households from the 2008 baseline kitchen survey list. Includes households that Berkeley Air surveyed in Criterion #2. Households from the 2008 baseline kitchen test. Includes households that Berkeley Air conducted the baseline KPT on during the baseline monitoring in Criterion #3. Households from the 2010 biannual kitchen survey list. Includes households that Berkeley Air surveyed in Criterion #4. Households from the 2010 biannual kitchen test. Includes households that Berkeley Air conducted the KPT on during the biannual monitoring in Criterion #5. Snowball sampling. Visit the areas and neighborhoods where the 2008 and 2010 monitoring took place and ask the residents, Where can we find households that purchased a Sewa stove in 2008? While efforts were made to minimize the utilization of the snowball approach, the field team was confident that the households they recruited via snowball sampling owned stoves that were at least four years old. The conservativeness of the sample is further supported by the fact that survey respondents generally have a bias towards remembering things as having occurred more recently then they actually did. NOTE: Fieldworkers were instructed NOT to ask, Who has a Sewa stove? as this could bias the sample towards households that are still using their Sewa stove and away from those households that are no longer using their Sewa stove. Data collected include contact information of the person surveyed, household size, cooking frequency, level of education, income, etc. In addition, KPT collects fuel moisture, fuel weight, other fuel used in the households, etc. A spreadsheet of data collected is provided with this report as reference. Data is analyzed in an excel spreadsheet. For each relevant indicator, a total number, average and standard deviation is calculated. Comparison between baseline results and project results are also performed. The minimum sample size recommended by the methodology is 100 for Kitchen Surveys and Usage Surveys (for population over 1000) and 20 for Kitchen Performance tests. Berkeley Air had a sample size of 156 for Kitchen Surveys and Usage Surveys and 35 for KPT. Confidence/precision level is applicable to KPT only as it is the only parameter that gives a numeric measurement. The 90/10 confidence/precision was applied to fuel use in the baseline KPT. The aging KPT is controlled by sample size requirements proposed by the Gold Standard Technical Team 3. Usage surveys and kitchen surveys are also controlled by sample size. SECTION E. Calculation of emission reductions or GHG removals by sinks E.1. Calculation of baseline emissions or baseline net GHG removals by sinks The project calculates emissions reduction by applying the emission factor of charcoal and wood to the fuel savings rather than deducting project emissions from baseline emissions. This calculation method is recommended by the Technologies and Practices to Displace Decentralized Thermal Energy Consumption 3 communication between Berkeley Air Group and the Gold Standard Foundation, dated Monday, March 15, 2010 Version 03.2 Page 18 of 23

19 (11/04/2011) (equation 1) for projects where the baseline fuel and the project fuel are the same. E.2. Calculation of project emissions or actual net GHG removals by sinks See section E.1 E.3. Calculation of leakage No significant sources of leakage were identified during either the annual KSs or the 2012 bi-annual study, but future offset calculations will be adjusted accordingly if significant sources are later identified. Section 3.1 (page 9) of Berkeley Air s 2012 Biannual report details how leakage was assessed in accordance with the methodology. E.4. Summary of calculation of emission reductions or net anthropogenic GHG removals by sinks Below is the Emission Reduction calculation as presented in the ER calculation spreadsheet. The equation is a modified version of the equation ER y = Σ b,p (N p,y * U p,y * P p,b,y * NCV b,fuel * (fnrb,b,y * EF fuel,co2 +EF fuel,nonco2 )) Σ LE p,y given in the methodology TPDDTEC for for projects where baseline fuels and project fuels are the same. The modification is necessary to take into account both wood and charcoal and to include emission factors for the production and use of charcoal. ERy= Σ b,p (*N p,y * U p,y * (P p,b,y-charcoal (NCV charcoal (fnrb,b,y *EF charcoal, CO2-cooking +EF charcoal,non-co2- cooking))+(fnrb, b,y *EF charcoal,co2-production +EF charcoal,non-co2-production )) + P p,b,y-wood (NCV wood (fnrb,b,y *EF wood,co2 + EF wood,non-co2 ))) - Σ LE p,y Where: Σ b,p N p,y U p,y P p,b,y -charcoal P p,b,y -wood fnrb,b,y NCV charcoal NCV wood EF charcoal,co2-cooking EF charcoal,nonco2 -cooking EF charcoal,co2-production EF charcoal,nonco2 -cooking EFb, wood,co2 EF wood,nonco2 LE p,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 of the data collected from the field tests Specific wood savings for an individual technology of project p against an individual technology of baseline b in year y, in tons/day, as derived from the statistical analysis of the data collected from the field tests Fraction of biomass used in year y for baseline scenario b that can be established as non-renewable biomass (drop this term from the equation when using a fossil fuel baseline scenario) Net calorific value of the fuel that is substituted or reduced Net calorific value of the fuel that is substituted or reduced (IPCC default for wood fuel, TJ/ton) CO2 emission factor for cooking of the charcoal that is reduced Non CO2 emission factor for cooking of the charcoal that is reduced CO2 emission factor for production of the charcoal that is substituted or reduced Non CO2 emission factor for production of the charcoal that is reduced CO2 emission factor of the wood that is reduced Non CO2 emission factor of the wood that is reduced Leakage for project scenario p in year y (tco2e/yr) Sewa Grand Format (GF) stove: Substituting for values for one Sewa GF stove in use for one year, during the stove s first year of operation Version 03.2 Page 19 of 23

20 we get the calculation below. Because the project saves both charcoal and firewood and emissions factor must be considered for charcoal consumption and charcoal production, the emissions factors (CO2 and non- CO2) of both fuels are calculated before solving the equation. Parameter Value Reference Σ b,p 1 N p,y 365 (days) U p,y 100% Berkeley Air 2012 Bi-annual Report P p,b,y -charcoal tonnes/day Berkeley Air 2008 Baseline Report P p,b,y -wood tonnes/day Berkeley Air 2008 Baseline Report fnrb,b,y 94.0% Berkeley Air 2012 NRB Assessment NCV,charcoal Tj/tonne 2006 IPCC Guidelines for National GHG inventories NCV,wood Tj/tonne 2006 IPCC Guidelines for National GHG inventories EF charcoal,co2-cooking 112 tco2e/tj 2006 IPCC Guidelines for National GHG inventories EF charcoal,non-co2-cooking tco2e/tj Calculated based on values for N2O and CH4 from the 2006 IPCC Guidelines for National GHG inventories EF charcoal,co2-production tco2e/t_fuel Calculated based on values for N2O and CH4 from Emissions of Greenhouse Gases and other Air Pollutants from Charcoal Making in Kenya and Brazil (Pennise and Smith) EF charcoal,non-co2-production tco2e/t_fuel Calculated based on values for N2O and CH4 from Emissions of Greenhouse Gases and other Air Pollutants from Charcoal Making in Kenya and Brazil (Pennise and Smith) EF wood,co2 112 tco2e/tj 2006 IPCC Guidelines for National GHG inventories EF wood,non-co tco2e/tj Calculated based on values for N2O and CH4 from the 2006 IPCC Guidelines for National GHG inventories LE p,y 0 Berkeley Air 2012 Bi-annual Report ERy= Σ b,p (*N p,y * U p,y * (P p,b,y-charcoal (NCV charcoal (fnrb,b,y *EF charcoal, CO2-cooking +EF charcoal,non-co2- cooking))+(fnrb, b,y *EF charcoal,co2-production +EF charcoal,non-co2-production )) + P p,b,y-wood (NCV wood (fnrb,b,y *EF wood,co2 + EF wood,non-co2 ))) - Σ LE p,y Solving for combined emission factor of charcoal: (NCV charcoal (fnrb,b,y *EF charcoal, CO2-cooking +EF charcoal,non-co2-cooking ) +(fnrb, b,y *EF charcoal,co2-production +EF charcoal,non-co2- production)) (0.0295*(94%* )+(94%* ))= Solving for combined emission factor of wood (NCV wood (fnrb,b,y *EF wood,co2 + EF wood,non-co2 ) *(94%* ) = Solving for ERy ERy = 1*(365*100%*((0.0009*5.9158)+( *1.7600)))-0 ERy= tco2e Version 03.2 Page 20 of 23

21 Item Baseline emissions or baseline net GHG removals by sinks (t CO 2 e) Project emissions or actual net GHG removals by sinks (t CO 2 e) Leakage (t CO 2 e) Emission reductions or net anthropogenic GHG removals by sinks (t CO 2 e) TF 0 1, PF MF 0 45, GF 0 126, SGF 0 104, Total 0 278,391 Description of how the formulas are applied in the excel carbon calculator The Emissions Reduction (ER) Calculator calculates total emissions reductions on a daily basis for each stove in the Total Sales Database. The ER Calculator is run separately for each stove size that is included in the project. A different file for each size accompanies this report: Katene calculator_tf.xlsx Katene calculator_pf.xlsx Katene calculator_mf.xlsx Katene calculator_gf.xlsx Katene calculator_sgf.xlsx The calculator accounts for the day that each stove is put into use, then calculates the usage of each stove for each day. It factors in the assumed annual drop-off and other parameters, which are updated as more data are compiled. Stove usage is calculated in stoves-years, the number of stove days the stove was used divided by 365 (days). The Assumptions worksheet of each ER Calculation workbook states the Usage Rates and Fuel Savings (kg/stove-day). Katene s sales are listed in the Project Database worksheet, which links as an input to each carbon calculator on the Project Database tab. Stove quantities and Usage Start-Dates are linked from the Usage Record worksheet to the Age 0-1, Age 1-2, Age 2-3, Age 3-4 worksheets, etc.. These Use worksheets calculate usage on a daily basis for each day of the project period (x-axis) for each Usage Start-Date and the corresponding stove quantity (y-axis). The Use worksheets are separate to account for stove usage at different ages. Usage for all stoves aged 0-1 year, which are in their 1st year of use, is accounted in the Age 0-1 worksheet, usage for all stoves aged 1 2 years, which are in their 2nd year of use, is accounted in the Age 1-2 worksheet, etc. Daily stove use (stove-days) is calculated using Annual Usage Rates for stoves of different ages (Upj,yri). The Annual Usage Rates are calculated to reflect annual usage drop-off from the Cumulative Usage Rates (CumUi) determined in the monitoring studies below. The Annual Usage Rate (Upj,yri) is the average annual drop-off in usage. That rate is applied to all stoves equally over the full year they are of a given age (1st year, 2nd year, etc.). Calculating Annual Usage Rates (Upj,yri) from Cumulative Usage Rates (CumUi) is straightforward: If 100 of 100 stoves are still in use after one year, the Cumulative Usage Rate (CumU1) after one year is 100%. If 50 of the original 100 stoves are still in use after two years, the Cumulative Usage Rate (CumU2) after two years is 50%. The Annual Usage Rate (Upj,yr1) in year 1 is 100%. The Annual Usage Rate (Upj,yr2) in year 2 is 75% ((100%+50%)/2). Once daily stove usage (stove-days) is accounted in the Use worksheets for stoves from each Usage Start- Date, it is aggregated on a daily and quarterly basis at the top of each Use worksheet. Quarterly stove usage from each Use worksheet, accounted in stove-days, is converted to quarterly stove usage in stoveyears on the ER Calculations worksheet by dividing by 365 days. Version 03.2 Page 21 of 23

22 Finally, on the ER Calculations worksheet, aggregate quarterly stove use (stove-years) is multiplied by ERs per stove-year (tco2e/stove-year) to calculate total ERs on a quarterly basis. These values from the ER Calculations workbook of each stove size are linked to the Summary Sheet file where ERs from all stove sizes are combined and the verification period is specified for crediting. E.5. Comparison of actual emission reductions or net anthropogenic GHG removals by sinks with estimates in registered PDD Item Emission reductions or GHG removals by sinks (t CO 2 e) Values estimated in ex-ante calculation of registered PDD 100,632 (78,833 for 2013 and 21,799 for 1 quarter in 2014; calculated by dividing 87,198 by 4) Actual values achieved during this monitoring period 278,391 E.6. Remarks on difference from estimated value in registered PDD The registered PDD estimated a slightly lower annual sales volume than actual sales. As of March 31, 2014, the project had disseminated 173,051 stoves compared to 163,169 in the PDD (total sales from 2008 to 2013 plus one quarter of 2014). Furthermore, PDD estimates were base on a NRB fraction of 51% for charcoal and 54% for wood while the 2012 NRB assessment found the fraction to be 94% for both fuel. In addition, the PDD estimated a usage rate of 90% in year 1, 70% in year 2, 50% in year 3 etc. The actual usage rate has been 100% in year 1, 94.7% in year 2, 89.4% in year 3 etc. These three elements justify the difference between the estimated ER and the actual ER. The sensitivity analyses below demonstrate the relation between NRB, Usage Rate, number of stoves sold and total emissions reduction. The assumption values are for illustration purposes only although they are close to the values in this project. Bolded values are those closer to PDD estimates and actual values. The sensitivity analysis spreadsheet is provided as sensitivity analysis-katene.xls Assumptions ER (if NRB is 100%) NRB 94.0% # stoves 170,000 Usage Rate 80% Total ER 294,671 Total ER Sensitivity to NRB Total ER Sensitivity to Usage Rate Total ER Sensitivity to number of stoves sold 294, , ,671 50% 156,740 50% 184, , ,004 60% 188,088 60% 221, , ,671 70% 219,436 70% 257, , ,338 80% 250,784 80% 294, , ,004 90% 282,132 90% 331, , , % 313, % 368, , ,338 Based on our assumptions of 170,000 stoves sold and an ER of 2.30 tco2e per stove, a change of NRB from 50% (close to the 51% and 54% in the PDD) to 90% (close to the actual 94%) increases the total ER by Version 03.2 Page 22 of 23

23 80% Similarly a change of usage rate from 50% to 90% increases the total ER by 80% and a change from 160,000 stoves sold to 170,000 stoves increases the total ER by 6%. 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 Item Emission reductions or GHG removals by sinks (t CO 2 e) Actual values achieved up to 31 December 2012 Actual values achieved from 1 January 2013 onwards 278, Document information Version Date Description November 2013 Editorial revision to correct table in page January 2013 Editorial revision to correct table in section E 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) March 2012 Revision required to ensure consistency with the "Guidelines for completing the monitoring report form" (EB 66, Annex 20) 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 23 of 23