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1 Monitoring report form (Version 03.1) Monitoring report Title of the project activity Efficient Wood Fuel Stove-Cooking-Sets, Lesotho Reference number of the project activity 5482 Version number of the monitoring report 4.1 Completion date of the monitoring report 02/07/2013 Registration date of the project activity 29/08/2012 Monitoring period number and duration of this monitoring period Project participant(s) Host Party(ies) Sectoral scope(s) and applied methodology(ies) 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 1; 29/08/ /11/2012 both days included Solar Lights atmosfair ggmbh Deutsche Post AG Lesotho 3: Energy demand AMS II.G., version 3, Energy Efficiency Measures in Thermal Applications of Non- Renewable Biomass 3,350 tco 2 3,266 tco 2 Version 03.1 Page 1 of 19

2 SECTION A. Description of project activity A.1. Purpose and general description of project activity (a) 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 the dissemination of efficient fuel wood stoves and heat retaining polypropylene boxes in several districts of Lesotho, at subsidized prices. Users are households who previously used inefficient, traditional fireplaces. The efficient fuel wood stove that was deployed is a portable stove developed and prefabricated by a German manufacturer and assembled locally, called SAVE80. The SAVE80 system also consists of custom-fit pots, pans and a heat retaining box ( Wonderbox ). Design and brand name of the SAVE80 system may develop over time, for simplicity the system is hereafter referred to as the SAVE80 system. The project is implemented by the Lesotho based company Solar Lights and the German carbon offset organization atmosfair ggmbh (hereinafter referred to as atmosfair ). (b) Brief description of the installed technology and equipment The efficient fuel wood stove that were deployed is a portable stove made of stainless steel developed and prefabricated by a German manufacturer and assembled locally to create employment and income. The efficient fuel wood stove is called SAVE80. The SAVE80 system also consists of custom-fit pots, pans and a heat retaining box ( Wonderbox ). The SAVE80 model has a nominal effective thermal power of 1.5 kw. As per specification of the manufacturer, the SAVE80 system needs only about 250 g of small brittle sticks of wood to bring 6 litres of water to the boil, 80% less than traditional fire-places. The design ensures preheating of the air and a complete combustion with very little visible smoke and only small amounts of ash. Industrial production allows constant quality standards. The SAVE80 system also includes a heat retaining box ( Wonderbox ), where food can be transferred after reaching the boiling temperature, and where it will continue to simmer until it is well cooked. The Wonderbox allows important energy savings in addition to the savings by the SAVE80. However, these energy savings will not be taken into account for calculating emission reductions. This significantly increases the overall conservativeness of the emission reduction calculations. (c) Relevant dates for the project activity (e.g. construction, commissioning, continued operation periods, etc.) Date Milestone 25/10/2010 Starting date of the project activity 04/06/2011 Commencement date (first stove delivered to household) 29/08/2012 Registration with UNFCCC 29/08/ /11/2012 First Monitoring Period (d) Total GHG emission reductions or net anthropogenic GHG removals by sinks achieved in this monitoring period. 3,266 t of CO2e Conservative approach According to AMS II. G., for the emission factor for the substitution fuel likely to be used instead of fuel Version 03.1 Page 2 of 19

3 wood, a value of 81.6 t CO2/TJ is to be taken. Compared to the emission factor for wood, which is 112 t CO2/TJ (see 2006 IPCC Guidelines for National Greenhouse Gas Inventories, p. 2.23), only 72.8% of the de facto emission reductions when using the SAVE80 are taken into account. Further, as users are equipped with a heat retaining device, the Wonderbox, total CO2 savings from the use of the SAVE80 system are even higher since additional fuel wood savings of up to 50% can be achieved. Emission reductions through the use of the Wonderbox are however not taken into account. A.2. Location of project activity (a) Host Party: Lesotho (b) Region/ State/ Province: The project activity is located in the so-called foothills region of the country, limited by the highlands in the east and the lowlands in the west. In the north the boundary stretches out from the village of Thabong (28 55 W, S), near to the border of South Africa, to the village of Ha Phala (27 58 W,29 99S), which is located close to the city of Mohale s Hoek in the southern part of Lesotho. The project location includes parts of the districts Berea, Maseru, Leribe, Mohale s Hoek, Mafeteng and Butha-Buthe (c) City/ Town/ Community: The project activity is implemented in all villages and households in the above described target areas, who want to participate in the CDM project ( eligible households ). Eligible households are households who confirm that fuel wood has been used for cooking purposes. (d) Physical/ Geographical location: The project area is demarcated by so called EA Codes, which were defined within the Population Census Each EA Code area is situated entirely within a community council boundary. The EA Codes consist of a unique 9 digit identifier code: 1st and 2nd digits in the code = district 3rd and the 4th digits in the code = constituency 5th and the 6th digits in the code = community council 7th digit in the code = geographical zone 8th and the 9th digits in the code = EA number For the list of all EA Codes forming the project area, see Annex 5 of the PDD. The coordinates of Solar Lights main office in Maseru are: Latitude: Longitude: Version 03.1 Page 3 of 19

4 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) Lesotho (host) Solar Lights (private entity) No Germany atmosfair ggmbh (private entity) No Germany Deutsche Post AG No A.4. Reference of applied methodology AMS II.G., version 3, Energy Efficiency Measures in Thermal Applications of Non-Renewable Biomass A.5. Crediting period of project activity Fixed crediting period (10 years) Start of crediting period: 29/08/2012 End of crediting period: 28/08/2022 SECTION B. Implementation of project activity B.1. Description of implemented registered project activity (a) Description of the installed technology, technical processes and equipment The SAVE80 is a portable stove made of stainless steel, developed and prefabricated by a German manufacturer and assembled locally to create employment and income. The initial model has a specified thermal efficiency of 52% and nominal effective thermal power of about 1.5 kw. As per specification of the manufacturer, the SAVE80 needs only about 250 g of small brittle sticks of wood to bring 6 litres of water to the boil, 80% less than traditional fire places. The design ensures preheating of the air and a complete combustion with no visible smoke and only small amounts of ash. The SAVE80 system also consists of custom-fit pots, pans and a heat retaining box ( Wonderbox ), where food can be transferred after reaching the boiling temperature, and where it will continue to simmer until it is well cooked. The Wonderbox allows important energy savings in addition to the savings by the Save80. However, these energy savings have not been taken into account for calculating emission reductions which is increasing the overall conservativeness of the Emission Reduction calculations. (b) Information on the implementation and actual operation of the project activity, including relevant dates (e.g. construction, commissioning, continued operation periods, etc.). The following table lists the number of SAVE80 systems delivered under the project activity since the starting date of the project activity and as recorded in the database at the end of the monitoring period. Version 03.1 Page 4 of 19

5 Month ICS delivered June 2011 (Date of first delivery: 04/06/2011) 139 July August September October November December January February March April May June July August September October November 2012 (Date of last delivery: 27/11/2012) 541 Total 5493 No replacement of Save80 stoves during this Monitoring Period has occurred. (c) Description of: (i) The events or situations that occurred during the monitoring period that may impact the applicability of the applied methodology; No special events which may impact the applicability of the methodology occurred. (ii) How the issues resulting from these events or situations have been addressed. Not applicable. B.2. Post registration changes B.2.1. Temporary deviations from registered monitoring plan or applied methodology No temporary deviations from registered monitoring plan or applied methodology have been applied during this monitoring period. B.2.2. Corrections No corrections to project information or parameters fixed at validation have been approved during this monitoring period or submitted with this monitoring report. Version 03.1 Page 5 of 19

6 B.2.3. Permanent changes from registered monitoring plan or applied methodology No permanent changes from the registered monitoring plan or applied methodologies have been approved during this monitoring period or submitted with this monitoring report. B.2.4. Changes to project design of registered project activity No changes to the project design of the project activity have been approved during this monitoring period or submitted with this monitoring report. B.2.5. Changes to start date of crediting period No changes to the start date of the crediting period have been approved during this monitoring period or submitted with this monitoring report. B.2.6. Types of changes specific to afforestation or reforestation project activity Not applicable. SECTION C. Description of monitoring system Data collection procedures and organisational structure The monitoring consists of three stages: 1. (Continuous) Sales monitoring 2. Sample surveys after the end of the monitoring period and prior to verification 3. Data compilation, quality control and drafting of the Monitoring Report 1. Sales monitoring Sales monitoring served to determine the adjusted total number of SAVE80 deployed until period y (N y ) The SAVE80 deployment and sales monitoring data flow process incl. organisational structure is illustrated in the following diagram: Version 03.1 Page 6 of 19

7 Order atmosfair SAVE80 stove supplier Database record User agreement scanned copy SAVE80 Solar Lights SAVE80 User agreement End user(s) Diagram 1: Sales monitoring flow chart Data generation: Every end user acknowledged receipt of a SAVE80 on an user agreement. The following information is provided: - Name and contact details of the user - Serial number of the SAVE80 sold - Deployment date Data recording: Solar Lights collected the user agreements from the end users and entered the information into an electronic database (the sales records database ). Data aggregation and reporting: Solar Lights submitted both the user agreements (scans) and the electronic datasets to atmosfair. atmosfair checked for inconsistencies and instructs Solar Lights to take corrective action if necessary. 2. Sample surveys After the end of the monitoring period and prior to the verification, sample surveys were conducted that serve to determine the - statistically adjusted drop out from total population of SAVE80 in period y (DO y ) - adjustment factor for continued use of baseline appliance of SAVE80 users in period y (CB y ) - adjusted average efficiency of the SAVE80 system being deployed ( new ) Version 03.1 Page 7 of 19

8 The sample survey data flow incl. organisational structure is illustrated in the following line diagram: Diagram 2: Sample survey flow chart Data generation: atmosfair draw a random sample from the sales records database and submited the electronic sample incl. user details to the monitoring team. The monitoring team conducted the surveys (user interviews and efficiency tests) at the end user locations. Data recording: The monitoring team recorded the information from the user interviews on questionnaires and from the efficiency tests on data entry forms. Data aggregation and reporting: The monitoring team submitted the questionnaires and the data entry forms to atmosfair. atmosfair checked for inconsistencies and instructed the monitoring team to take corrective action if necessary. atmosfair aggregated and reported the results in the monitoring spot check database. For the detailed sampling plan, see Section D.3 3. Data compilation atmosfair finally transferred the parameter values from the sales records database and from the spot check database to an Excel spreadsheet containing the equations to calculate the emission reductions of the monitoring period. The so achieved values were reported in the monitoring report. For all three steps above the following roles and responsibilities apply: Role Responsibility Entity Database The database administrator is responsible for updating and Solar Lights administrator maintaining all electronic databases: Input of user information from sales agreements into the electronic database Monitoring team The monitoring team conducts the user interviews and efficiency Solar Lights tests during the periodic sampling and reports the results to the database administrator (Sample Survey at end user location). Data compilation Atmosfair transfers data gathered by the monitoring team and from the electronic database into the emission reduction calculation spreadsheet to calculate the specific emission reductions for this monitoring period. atmosfair atmosfair assigned five people from Solar Lights to perform the data collection. Training was provided for the monitoring team prior to conducting the monitoring to ensure that the qualification and experience of all persons involved is adequate for the specific tasks performed. Version 03.1 Page 8 of 19

9 Emergency procedures for the monitoring system atmosfair and Solar Lights have implemented a system of cross-checks to ensure data quality. There is a separation of roles for every step of the data generation, aggregation & recording, calculation and reporting between those who are responsible and those who are controlling the respective step. In particular, the database administrator checked correctness and consistency between information on the user agreements and the corresponding sales database record. In case inconsistencies were detected, the database administrator instructed the Solar Lights team to search for the error source. If the error source can be found, the information was corrected accordingly, if not, the database record was removed from the database. Furthermore, the database administrator checked the correctness and consistency of all sampling data collected and processed in in this Monitoring Period. SECTION D. Data and parameters D.1. Data and parameters fixed ex ante or at renewal of crediting period Unit: Description: Source of data: B y,appliance tonnes/year Quantity of Biomass used in the absence of the project activity (per appliance) Baseline Survey Value(s) applied): Purpose of data: Calculation of baseline emissions old Unit: % Description: Efficiency of the baseline system being replaced Source of data: AMS II.G. version 3 default value Value(s) applied): 10 Purpoe of data: Calculation of baseline emissions Unit: Description: Source of data: NCV biomass TJ/t Net calorific value of non-renewable biomass that is substituted AMS II.G. version 3 default value Value(s) applied): Purpose of data: Calculation of baseline emissions Unit: EF projected_fossilfuel t CO2/TJ Version 03.1 Page 9 of 19

10 Description: Source of data: Value(s) applied): 81.6 Purpose of data: Emission factor for the substitution of non-renewable biomass by similar consumers AMS II.G. version 3 default value Calculation of baseline emissions Unit: Description: Source of data: ƒ NRB, y fraction Value(s) applied): 0.98 Purpose of data: Fraction of woody biomass saved by the project activity in period y that can be established as non-renewable biomass FAO (2010): Global Forest Resources Assessment 2010, Country Tables Lesotho, Table 3b Special designation and management categories expert interviews. Calculation of baseline emissions Unit: Description: L y fraction Leakage adjustment factor period y Source of data: AMS II.G. version 3 adjustment factor for leakages (par. 13) Value(s) applied): 0.95 Purpose of data: Calculation of baseline emissions D.2. Data and parameters monitored Unit: % Description: Measured/ Calculated / Default: Source of data: η new Adjusted average efficiency of the SAVE80 system being deployed Calculated from sample survey Sample survey Version 03.1 Page 10 of 19

11 Value(s) of monitored parameter: Test Results Adjusted Value Test 1: % Test 2: % Test 3: % Test 4: % Test 5: % Test 6: % Test 7: % Test 8: % Test 9: % Average: Monitoring equipment: Weighing Scale Type KD 8000 Accuracy class +/- 1 g Thermocouple Type Voltcraft Thermometer Accuracy class +/- 1 C Required accuracy by +/- 0.1 C WBT protocol Adjusted accuracy Measured Value +/- 0.9 C Measuring/ Reading/ Recording frequency: Calculation method (if applicable): Annually Monitoring of the statistically adjusted average efficiency involves two steps: Step 1: Sample survey and efficiency testing amongst appliances deployed Step 2: Calculation of the adjusted average efficiency at 90% confidence level and 10% precision (annual inspections) following the statistical standard approach for a heterograde test of independent units that have a standard normal distribution. ηnew is determined following the Water Boiling Test (WBT) protocol v.3.0 1, performed by a dedicated monitoring team. Tests are reported in spreadsheet templates. 1 Version 03.1 Page 11 of 19

12 QA/QC procedures: Purpose of data: All formulas applied to determine the statistical precision are standard formula. Furthermore, according to AMS II.G, par.22 the sampling error has to be deducted (...the lower bound of a 90% confidence interval of the parameter value may be chosen ) in the event that 90/10 precision could not be achieved because of a small sample size. No deductions have to be made if 90/10 precision is achieved by sampling a proper number of appliances. Solar Lights and atmosfair will further cross-check results with literature values, or specifications from manufacturer, if available. Data will be collected using the standard procedures and will be stored for the crediting period and an additional two years. Baseline emission calculation Unit: Description: Measured/ Calculated / Default: Source of data: Value(s) of monitored parameter: Monitoring equipment: Measuring/ Reading/ Recording frequency: N y n/a Adjusted total number of SAVE80 deployed Calculated Sales Records Database 4,927 User agreements and sales records database Continuous monitoring and recording of n i Version 03.1 Page 12 of 19

13 Calculation method (if applicable): The total number of SAVE80 deployed until period y is calculated annually and based on information monitored through the Sales Records Database. Parameter ni Description Number of SAVE80 deployed in period i as reported in the Sales Records Database and adjusted to account for delays between sales date and first use. Every SAVE80 starts to operate (deployment date) the day after the SAVE80 was delivered. Adjustment factor for reduced operational time of SAVE80 deployed in period y QA/QC procedures: Purpose of data: daverage,y mplength Average numbers of days that SAVE80 deployed in period y have been operational in period y as determined by respective deployment dates of SAVE80 counted for n y. Deployment dates are determined mutatis mutandis as in the context of n i above. Length of monitoring period y Data will be collected using the standard procedures and will be stored for the crediting period and an additional two years. Baseline emission calculation Unit: % Description: Measured/ Calculated / Default: Source of data: Value(s) of monitored parameter: Monitoring equipment: Measuring/ Reading/ Recording frequency: DO y Statistically adjusted drop out from total population of SAVE80 in period y Calculated from sample survey Sample survey 9.52% (8 out of 84 interviews qualify as drop outs) Questionnaire Annually Version 03.1 Page 13 of 19

14 Calculation method (if applicable): Monitoring of the statistically adjusted drop out involves two steps: Step 1: Sample survey amongst SAVE80 deployed Step 2: Calculation of the adjusted drop out rate at 90% confidence level and 10% precision (annual inspections) following the statistical standard approach for a homograde test of independent units that have a standard normal distribution. The Drop outs are determined through interviews where it will be checked if the appliances are still operational, performed by a dedicated monitoring team. Interviews are reported in a questionnaire. QA/QC procedures: Purpose of data: Checks are conducted until the required precision (10%) for this parameter is achieved. All questionnaires and information gathered during the sampling by the monitoring team are handed over to Solar Lights and atmosfair that takes care of entering the information to an electronic database and updating sample databases where appropriate. All formulas applied to determine the statistical precision used are standard formula. Furthermore, according to AMS II.G, par.22 the sampling error has to be deducted (...the lower bound of a 90% confidence interval of the parameter value may be chosen ) in the event that 90/10 precision could not be achieved because of a small sample size. No deductions have to be made if 90/10 precision is achieved by sampling a proper number of SAVE80. Data will be collected using the standard procedures and will be stored for the crediting period and an additional two years. Baseline emission calculation Unit: % Description: Measured/ Calculated / Default: Source of data: Value(s) of monitored parameter: Monitoring equipment: Measuring/ Reading/ Recording frequency: CB y Adjustment factor for continued use of baseline appliance of SAVE80 users in period y Calculated from sample survey Sample survey Average: The average is calculated from results of the 76 people interviewed who reported that they use the Save80 stove. The method of calculating the usage rate per user is described below. Questionnaire Annually Version 03.1 Page 14 of 19

15 Calculation method (if applicable): Monitoring of the adjustment factor for continued use of baseline appliance involves two steps: Step 1: Sample survey amongst SAVE80 deployed and in operation Step 2: Calculation of the adjustment factor for the continued use of baseline appliance at 90% confidence level and 10% precision (annual inspections) following the statistical standard approach for a homograde test of independent units that have a standard normal distribution. The data obtained in Step 1 is: Paramet er Unit Description ncb,y - Total number of SAVE80 users (with operational appliance) checked during sampling for which a valid result was obtained. xk 0 < xk < 1 Results from sampling to adjust for the continued use of baseline appliance of SAVE80 users. k ranges from 1 to ncb,y. x k is determined through interviews, performed by a dedicated monitoring team according. Interviews are reported in a questionnaire. If a user with an operational stove reports that he continues to use the baseline appliance for cooking or water heating it is determined n baseline : how often the baseline appliance has been used per week in average (only the use of woody biomass is relevant) n total : how often both the baseline appliance and the SAVE80 system has been used per week in average (only the use of woody biomass is relevant) xk is then calculated as: In Step 2 the following calculations shall be performed: Checks are conducted until the required precision (10%) for this parameter is achieved. All questionnaires and information gathered during the sampling by the monitoring team are handed over to Solar Lights and atmosfair that takes care of entering the information to an electronic database and updating sample databases where appropriate. n CB,y is determined implicitly during the procedure described above. Version 03.1 Page 15 of 19

16 QA/QC procedures: Purpose of data: All formulas applied to determine the statistical precision used are standard formula. Furthermore, according to AMS II.G, par.22 the sampling error has to be deducted (...the lower bound of a 90% confidence interval of the parameter value may be chosen ) in the event that 90/10 precision could not be achieved because of a small sample size. No deductions have to be made if 90/10 precision is achieved by sampling a proper number of SAVE80. Data will be collected using the standard procedures and will be stored for the crediting period and an additional two years. Baseline emission calculation D.3. Implementation of sampling plan (a) Description of implemented sampling design; As per the registered PDD, the sampling procedure has to be a simple random sampling process which randomly samples households across the project activity. Though the monitoring team undertook the monitoring of the parameters simultaneously and on the same sample, different sample sizes applied since the confidence/precision of the parameter depend on the variation of the obtained values. The users in the sample were selected via a computerized randomizer from the sales records database. The computerized randomizer produced an unsorted sample list i.e. a list of 85 Save80 users. In accordance with the Monitoring Plan of the registered PDD and to reduce monitoring efforts a single sample consisting of 85 users (as per the PDD requirement of a minimum sample size of 85 for parameter CBy 2 ) is drawn from the sales records database based on which all of the parameters shall be monitored. This does not imply that for each of the parameters the same number of users/save80 systems has to be monitored during sampling. Out of the 85 sampled Save80 users, 84 users could be contacted and an interview was performed to determine DOy, which is more than the required minimum sample size for DOy. For CBy 76 Save80 users were interviewed since 8 out of the 84 Save80 users interviewed to determine DOy qualify as drop outs and thus could not be interviewed regarding the continued use of the baseline appliance. In order to determine new 9 WBTs were conducted. For this the first 10 users from the unsorted sample list (85 users) were used for the Water Boiling Tests (WBTs) and 9 tests could be performed, which is more than the required minimum sample size for new. (b) Collected data, analysis of the same and demonstration on whether the confidence/precision has been met Parameter n* Respon se rate Assumed response rate in PDD Result Standard deviation Confidence Precision Lower bound applicable? new 9 90% 80% 41,92% 2.80% 90% 4% No DO y 84 99% 80% 9.52 % N/A 90% 6% No CB y % 80% 88.17% N/A 90% 7% No *valid responses 2 Sample size was cross checked ex-ante with the latest sampling guidelines (EB 69 Annex 5) to ensure the 90/10 confidence/precision criteria is met based on the assumptions for the parameter values as per the registered sampling plan. Version 03.1 Page 16 of 19

17 SECTION E. Calculation of emission reductions or GHG removals by sinks E.1. Calculation of baseline emissions or baseline net GHG removals by sinks Please note that the methodology ASM II.G., ver. 3 does not provide specific equations for calculation of Baseline emissions, project emissions or leakage, only for Emission reductions. As Leakage was considered ex-ante, Bold was adjusted to account for the quantified leakage. E.2. Calculation of project emissions or actual net GHG removals by sinks Not applicable, as methodology ASM II.G., v3 does not consider project emissions E.3. Calculation of leakage Leakage Adjustment Factor Ly as per the methodology is applied to the project activity to calculate Emission Reductions of this Monitoring Period. E.4. Summary of calculation of emission reductions or net anthropogenic GHG removals by sinks 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) Total 3,266 Not applicable Not applicable 3,266 Equations used for calculation of emission reductions, in line with the AMS II. G., ver. 3: Emission reductions or net anthropogenic GHG removals by sinks (t CO 2 e) ER y B y, savings f NRB, y NCVbiomass EF projected _ fossilfuel Parameter Unit Description ER y tco 2 Emission reductions of the project activity in period y B y,savings t Quantity of biomass that is saved in tonnes in period y f NRB,y % Fraction of woody biomass saved by the project activity in period y that can be established as nonrenewable biomass NCV biomass TJ/t Net calorific value of the non-renewable woody biomass that is substituted EF projected_fossilfuel tco 2 /TJ Emission factor for the substitution of non-renewable woody biomass by similar consumers B y,savings is calculated according to the following approach (AMS II.G., par. 6, Option 2, equation 3): B y B, savings old (1 old new, y ) Parameter Unit Description Version 03.1 Page 17 of 19

18 B y,savings t Quantity of woody biomass that is saved in period y B old t Quantity of woody biomass used in the absence of the project activity old % Efficiency of the baseline system being replaced new % Efficiency of the system being deployed as part of the project activity Bold is calculated according to the following formula: B old B y, appliance N y (1 DO ) CB y y mp 365 length L Parameter Unit Description B old T Quantity of woody biomass used in the absence of the project activity B y,appliance t/year Average annual consumption of woody biomass per appliance N y - Total number of appliances deployed in period y DO y % Statistically adjusted drop out from total population of appliances in period y CB y % Adjustment factor for continued use of baseline appliance of SAVE80 users in period y mp length Days Length of monitoring period y L y % Leakage adjustment for period y y 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 3,350 3,266 Actual values achieved during this monitoring period E.6. Remarks on difference from estimated value in registered PDD In the registered PDD, expected annual emission reductions are 8,054 t CO2 for the period 20/05/ /12/2012 (226 days) (see Section A.4.3 of the PDD). This monitoring period covers 94 days (29/08/ /11/2012, both days included) and hence expected emission reductions as applied in ex-ante calculation of the registered PDD are 8,054 t CO2 / 226 days * 94 days = 3,350 t CO2. The actual values achieved during this monitoring period are slightly lower than estimated in the PDD. The main reason is that the drop out rate is higher compared to the estimates 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 Version 03.1 Page 18 of 19

19 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 3,266 Not applicable (monitoring period ends on 30/11/2012) Document information Version Date Description 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 03.1 Page 19 of 19