PDD of 10MW Solar Project

UNFCCC/CCNUCC CDM – Executive Board Page 1

PROJECT DESIGN DOCUMENT FORM FOR SMALL-SCALE CDM PROJECT ACTIVITIES (F-CDM-SSC-PDD)

Version 04.1

PROJECT DESIGN DOCUMENT (PDD)

Title of the project activity Inner Mongolia Hangjinqi Balagong 10MWp Solar Power Plant Project

Version number of the PDD Version 01 Completion date of the PDD 10/04/2013 Project participant(s) Inner Mongolia Datang International New

Energy Co., Ltd. Host Party(ies) People’s Republic of China Sectoral scope(s) and selected methodology(ies) Sectoral scope: 01

Selected methodology: AMS-I.D.: Grid connected renewable electricity generation- Version 17.0

Estimated amount of annual average GHG emission reductions

14,023 tCO2e(first crediting period of 7 years)

UNFCCC/CCNUCC CDM – Executive Board Page 2 SECTION A. Description of project activity A.1. Purpose and general description of project activity >> Inner Mongolia Hangjinqi Balagong 10MWp Solar Power Project (hereinafter referred to as the proposed project) is located in the Balagong town, Hanggin Banner, Ordos City, Inner Mongolia Autonomous Region, P.R. China. The proposed project is invested, developed and operated by Inner Mongolia Datang International New Energy Co.,Ltd. (hereinafter referred to as the owner or the project owner). The total installed capacity of the Project is 10MWp equipped with 8 sets of photovoltaic generation systems with 1.26MWp. The Project will employ 37728 sets of polycrystalline silicon cell module, each of which has an output rate of 280W and adopt fixed array installation mode, the Project will also construct distribution room, inverter room, control room, pump room and office building etc. It is estimated that annual utilization hours at equivalent peak-load is 1,558 hours and annual average net electricity delivered to the grid is about 15,580MWh in 25 years operational lifetime of the Project. Electricity generated by the Project will be inverted from direct current (DC) to alternating current (AC) by inverter, then boosted by transformers and finally delivered to the North China Power Grid via 220kV outlet circuits. The implementation of the proposed project will achieve CO2 emission reduction by replacing electricity generated by fossil fuel fired power plants. The purpose of the proposed project is to generate zero-emission solar power and deliver it to The North China Power Grid (NCPG).The North China Power Grid (NCPG) is dominated by thermal power plants. In the absence of the Project, equivalent amount of annual power output of the Project will be generated and supplied by the North China Power Grid which the Project is connected to. This is the same with the baseline scenario of the Project. It is expected that the Project as a renewable energy source will generate emission reductions of 14,023tCO2e per year and achieve a total emission reductions of 98,161tCO2e by avoiding CO2 emissions from the same amount of electricity generation from the North China Power Grid, which is mainly composed of traditional fossil fuel fired power plants. The project activity will make much contribution to the local sustainable development in the following aspects: 1. Increasing power supply and improving the local economic development. 2. Reducing its reliance on exhaustible fossil fuel based power sources and emissions of CO2 by

supplying renewable energy to the grid. 3. Decreasing emissions of SO2, NOx and dust by displacing electricity from thermal power plants. 4. Creating employment opportunities directly during the construction and operation period. 5. Contributing to the optimization of power structure, the utilization of renewable energy and

benefitting the local ecologic conservation. A.2. Location of project activity A.2.1. Host Party(ies) >> People’s Republic of China A.2.2. Region/State/Province etc. >> Inner Mongolia Autonomous Region A.2.3. City/Town/Community etc. >> Balagong Town, Hanggin Banner, Ordos City

UNFCCC/CCNUCC CDM – Executive Board Page 3 A.2.4. Physical/ Geographical location >> The proposed project is situated in the Balagong town, Hanggin Banner, Ordos City, Inner Mongolia Autonomous Region, P. R. China. The coordinates of the project site is North latitude 40.2ºand East longitude 107.1º. The geographic location of the proposed project is detailed in the maps below.

Figure A-1 The location of Inner Mongolia Autonomous Region

Inner Mongolia Autonomous Region


Figure A-2 The location of Ordos in the Inner Mongolia Autonomous Region

A.3. Technologies and/or measures >> In the absence of the proposed project, the equivalent amount of annual power output of the project plant will be generated and supplied by the NCPG which the proposed project is connected to. The baseline scenario existing prior to the start of the implementation of the project activity is NCPG providing the same electricity output as the proposed project. The project scenario is the implementation of the proposed project. The project will utilize solar energy to generate no GHG emissions electricity by polycrystalline silicon photovoltaic modules. The total installed capacity of the Project is 10MWp with using 280W polycrystalline silicon photovoltaic modules, also equipped with 16 sets of 630kW grid-connected inverters and 8 sets 1400kVA step-up transformers. The key technical parameters of the proposed project are shown in Table A-1 as follows:

Table A-1 Key technical parameters of the proposed project Name Parameters Unit Value polycrystalline silicon photovoltaic modules

Rated Maximum Power Wp 280 Short-Circuit Current A 8.58

Current at Rated Maximum Power

A 7.94

Open-Circuit Voltage V 44.0 Voltage at Rated Maximum Power

V 35.3

Load factor % 17.781 Quantity 37728

1 According to the page 1-1 of FSR, annual utilization hour at equivalent peak-load is 1558 hours. So load factor is

calculated as: 1558/8760=17.78%.

Ordos


Name Parameters Unit Value Grid connected inverter

Output rated power kW 630 Maximum ac power kW 700 Maximum ac current A 1400 Highest conversion

efficiency % 98.7

Maximum dc voltage Vdc 1000 Maximum dc input current A 1400

Output frequency range Hz 47-51.5 Power factor >0.99

Working environment temperature range

℃ -25～+55

Quantity Unit 16 Modules & inverters with some key technical parameters different to Table A.1 might be used to replace the corresponding equipments damaged during the crediting period. Electricity delivered to the North China Power Grid and electricity imported from the North China Power Gird by the Project will be monitored with electricity meters installed at 35kV line and accuracy class of the meters is at least 0.5s. Please refer to Section B.7.2 for details. A.4. Parties and project participants

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)

People’s Republic of China (host)

Inner Mongolia Datang International New Energy Co.,

Ltd. Yes

A.5. Public funding of project activity >> No public funding from parties included in Annex I is available to the project activity. A.6. Debundling for project activity >> As per the “Guidelines on Assessment of Debundling for SSC Project Activities”(EB 54, Annex 13) proposed small-scale project activity shall be deemed to be a debundled component of a large project activity if there is a registered small-scale CDM project activity or an application to register another small-scale CDM project activity: a) With the same project participants; b) In the same project category and technology/measure; and c) Registered within the previous 2 years; and d) Whose project boundary is within 1 km of the project boundary of the proposed small-scale activity at the closest point.

UNFCCC/CCNUCC CDM – Executive Board Page 6 As there are not registered small-scale project activities: a) With the same project participants as the proposed project activity, b) In the same project category and technology/measure of the project activity; and c) Registered within the previous 2 years; and d) Whose project boundary is within 1 km of the project boundary of the proposed small-scale activity at the closed point, The proposed project is not deemed to be a debundled component of a large project activity and it is eligible to use the simplified modalities and procedures for small-scale project activities.

SECTION B. Application of selected approved baseline and monitoring methodology B.1. Reference of methodology >> Approved small-scale methodology AMS-I.D: “Grid connected renewable electricity generation”, version 17.0. Furthermore, the latest approved version of the “Tool to calculate the emission factor for an electricity system” was used. (version 03.0.0) B.2. Project activity eligibility >> The Clean Development Mechanism Project Activity Standard (version 01.0) states that: “81. Project participants shall indicate, from among the following below, the project type of the proposed small-scale CDM project activity, and shall demonstrate that the project activity qualifies as this type: (a) Type I: Renewable energy project activities with a maximum output capacity of 15MW (or an appropriate equivalent) (b) Type II: Energy efficiency improvement project activities that reduce energy consumption , on the supply and/or demand side, with a maximum output of 60GWh per year (or an appropriate equivalent) in any year of the crediting period; or (c): Type III: Other project activities not included in Type I or Type II that result in GHG emission reductions not exceeding 60 ktCO2e per year in any year of the crediting period”. As the project activity consists in the installation of a new solar power plant (greenfield) with nominal capacity of 10MWp, it qualifies as Type I: Renewable energy project activities with a maximum output capacity of 15MW. The CDM Project Activity Standard (version 01.0) also determines that: “83. 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 ”. The project activity is not expected to go beyond the limit of 15MW of maximum output capacity. Furthermore, the project activity fulfils the applicability conditions of the approved small-scale methodology AMS-I.D (version 17.0) in the following manners:

UNFCCC/CCNUCC CDM – Executive Board Page 7 “This methodology comprises renewable energy generation units, such as photovoltaic, hydro, tidal/wave, wind, geothermal and renewable biomass: (a) Supplying electricity to a national or a regional grid; or (b) Supplying electricity to an identified consumer facility via national/regional gird through a contractual arrangement such as wheeling;” Outcome: since the project activity consists in the installation of a power plant that will supply electricity to the North China Power Gird, this applicability condition is fulfilled. “This methodology is applicable to project activities that: (a) Install a new power plant at a site where there was no renewable energy power plant operating prior to the implementation of the project activity (Greenfield plant); (b) Involve a capacity addition; (c) Involve a retrofit of (an) existing plant (s); or (d) Involve a replacement of (an) existing plant (s)” Outcome: since the project activity consists in the installation of a power plant at a site where there was no renewable energy power plant operating prior to the implementation of the project activity (Greenfield plant), this applicability condition is fulfilled. B.3. Project boundary >> The power generated by the proposed project will be finally delivered to NCPG. As per Methodology ASM-I.D, the spatial extent of the project boundary includes the project power plant and all power plants connected physically to the NCPG that the proposed project is connected to. In accordance with 2012 Baseline Emission Factors for Regional Power Girds in China issued by the Chinese DNA (which provides the delineation of the grid boundaries), the NCPG covers Beijing City, Tianjin City, Hebei Province, Shanxi Province, Shandong Province and Inner Mongolia Autonomous Region. The emission sources and GHG category included within the project boundary are illustrated in the following table and Figure B-1 where the monitoring devices and their locations are presented simultaneously.

Source GHGs Included? Justification/Explanation

Bas

elin

e sc

enar

io

CO2 emission from electricity generation in fossil fuel fired power plants connected to the NCPG that are displaced due to the project activity

CO2 Yes Main emission source

CH4 No Minor emission source

N2O No Minor emission source

Proj

ect

scen

ario

The proposed project activity

CO2 No The proposed project is a renewable solar PV power project, the project emission is considered zero as per the latest version of methodology AMS-I.D.

CH4 No

N2O No The parameters will be measured: (i) The quantity of electricity supplied by the project plant/unit to the grid(EGexport,y); and (ii)The quantity of electricity delivered to the project plant/unit from the grid (EGimport,y).

UNFCCC/CCNUCC CDM – Executive Board Page 8 Legend: : power flow : meter

Figure B-1. Flow Diagram of the Project boundary B.4. Establishment and description of baseline scenario >> According to the approved small-scale methodology AMS-I.D (version 17.0), the baseline scenario is that the electricity delivered to the grid by the project activity would have otherwise been generated by the operation of grid-connected power plants and by the addition of new generation sources into the grid. Electricity delivered to the grid by the project activity would have otherwise been generated by the operation of power plants connected to the NCPG and by the addition of new generation sources of the NCPG, as reflected in the combined margin (CM) calculations described in the “Tool to calculate the emission factor for an electricity system”, which is detailed in the Appendix 4. The aforementioned information can also be proved in section B.5 and B.6. B.5. Demonstration of additionality >> The “Guidelines on the demonstration of additionality of small-scale project activities” (version 09.0, EB 68, Annex 27) states that:

Solar cell

array Inverters

Transformer

Substation of the grid

NCPG

The project plant

GHG emission (main emissions: CO2) produced by fossil fuel fired plants in the NCPG

UNFCCC/CCNUCC CDM – Executive Board Page 9 “2. Documentation of barriers, as per paragraph 1 above, is not required for the positive list of technologies and project activities types that are defined as automatically additional for project sizes up to and including the small-scale CDM thresholds (e.g. installed capacity up to 15MW) The positive list comprises of: a) The following grid-connected and off-grid renewable electricity generation technologies: i. Solar technologies (photovoltaic and solar thermal electricity generation); ii. Off-shore wind technologies; iii. Marine technologies (wave, tidal); iv. Building-integrated wind turbines or household rooftop wind turbines of a size up to 100kW” As the project activity consists in the grid-connected electricity generation from a solar technology, it shall automatically be considered additional, without further documentation of barriers. Demonstration and assessment of prior consideration of the CDM As per the “Guidelines on the demonstration and assessment of prior consideration of the CDM” (Version 04,), “for project activities with a starting date on or after 02 August 2008, the project participant must inform a Host Party DNA and the UNFCCC secretariat in writing of the commencement of the project activity and of their intention to seek CDM status”. Project participant have informed the China DNA and the UNFCCC Secretariat of the commencement of the project activity and of their intention in seeking the CDM status. Such notification was made within six months of the project activity starting date and contained a brief description of the project activity and the precise geographical location of the project plant. The notifications, using the standardized form F-CDM-Prior Consideration, were sent for China DNA and UNFCCC Secretariat on 11/04/2013, and the receipt of such documents has been confirmed. Relevant detailed timeline is summarized in Table B.1 to prove that the CDM was seriously considered in decision-making of the project. Table B.1. Timeline of the project

Date Key Event 05/2012 EIA was completed.

02/07/2012 The Approval of EIA was obtained from Ordos City Environmental Protection Bureau.

08/2012 The Feasibility Study Report was completed 18/09/2012 The Letter of Approval of the FSR of the project was obtained from Inner Mongolia

Autonomous Region Development and Reform Commission. 21/09/2012 The project owner held a board meeting to make the decision that the CDM revenue

should be brought to improve the financial situation of the project. 08/04/2013 The project owner informed EB in writing of the commencement of

the project activity start date and of their intention to seek CDM status 12/04/2013 The project owner informed Chinese DNA in writing of the commencement of

the project activity start date and of their intention to seek CDM status From the above table, CDM is considered and notified within 6 months prior to the start of the project activity. Therefore it can be concluded that the investment of the project activity is made based on serious CDM consideration.

UNFCCC/CCNUCC CDM – Executive Board Page 10 As the project activity utilizes solar technologies (photovoltaic) with an installed capacity below 15MW, the project activity shall be included in the positive list of grid-connected renewable electricity generation technologies and thus be defined as additional automatically, without further documentation of barriers. B.6. Emission reductions B.6.1. Explanation of methodological choices >> Baseline Emissions (BEy) According to methodology AMS-I.D (version 17), the baseline emissions are the product of electrical energy baseline EGBL,y expressed in MWh of electricity produced by the renewable generation unit multiplied by the grid emission factor. BEy=EGBL,y*EFCO2,grid,y (B.6.1) Where: BEy Baseline Emission in year y (tCO2) EGBL,y Quantity of net electricity supplied to the grid as a result of the implementation of the

CDM project activity in year y (MWh) EFCO2,grid,y CO2 emission factor of the grid in year y (tCO2/MWh) The Emission Factor is calculated according to method (a) provided in the methodology AMS-I.D (version 17) as: A combined margin (CM), consisting of the combination of operating margin (OM) and build margin (BM) according to the procedures prescribed in the “Tool to calculate the Emission Factor for an electricity system”(version 03.0.0) This PDD refers to the Operating Margin (OM) Emission Factor and the Build Margin (BM) Emission Factor published by the Chinese DNA. For more information on the published OM and BM emission factors, please refer to: Calculation result of the baseline emission factor of China Regional Grid: http://cdm.ccchina.gov.cn/WebSite/CDM/UpFile/File2975.pdf According to the “Tool to calculate the Emission Factor for an electricity system” (version 03.0.0), the CO2 emission factor for the grid is determined by calculating the combined margin emission factor (CM), which is the result of a weighted average of two emission factors pertaining to the grid: the. Operating margin (OM) and the build margin (BM). Parameter SI Unit Description EFgrid,CM,y tCO2e/MWh Combined margin CO2 emission factor for the project

electricity system in year y EFgrid,BM,y tCO2e/MWh Build margin CO2 emission factor for the project electricity

system in year y EFgrid,OM,y tCO2e/MWh Operating margin CO2 emission factor for the project electricity

system in year y The parameters as above table for the North China Power Grid is calculated as follows: Step 1. Identify the relevant electricity systems

According to the Tool to calculate the emission factor for an electricity system (Version 03.0.0), if the

UNFCCC/CCNUCC CDM – Executive Board Page 11 DNA of the host country has published a delineation of the project electricity system and connected electricity systems, these delineations should be used. Since Chinese DNA has published a delineation of the project electricity system and connected electricity systems, these delineations should be applied for the proposed project. According to the delineations, the NCPG is identified as the relevant electric power system of the proposed project, which includes the grids of Beijing Grid, Tianjin Grid, and Shandong Grid, Shanxi Grid, Hebei Grid and Inner Mongolia Grid. Hence, the project belongs to the Inner Mongolia Grid, which is part of NCPG.

The North China Power Grid has imported electricity from the Northwest Power Grid (NWPG) and the Central China Power Grid (CCPG), As per the methodology tool, referred to in 2012 Baseline Emission Factors for regional power grids in China which is published in China DNA option (c), the simple operation Margin Emission rate of the exporting grid, determined as described in step 4(a) was selected to establish the CO2 emission factor for net electricity imports from the Northwest Power Grid and Central China Power Grid. Step 2. Choose whether to include off-grid power plants in the project electricity system (optional) Project participants may choose between the following two options to calculate the operating margin and build margin emission factor: Option I: Only grid power plants are included in the calculation. Option II: Both grid power plants and off-grid power plants are included in the calculation. The Option I is chosen, because only grid power plants would be considered in the project electricity system. Step 3. Select a method to determine the operating margin (OM) The calculation of the operating margin emission factor ( grid,OM,yEF ) is based on one of the following methods:

(a) Simple OM, or (b) Simple adjusted OM, or (c) Dispatch Data Analysis OM, or (d) Average OM.

The Simple OM method (a) can only be applied when low operating cost/must run resources2 constitute less than 50% of total grid generation in average of the five most recent years. According to the data from China Electric Power Yearbook (2007-2011), the total electric power generation of NCPG in 2010 is 1073.1TWh3, in which low cost/must run resources generation is 32.8TWh, accounting for only 3.06%, which is less than 50% of total amount of power generation. The statistic data from other four years are similar, the generations from low-cost/must run resources are all less than 1% of total generation of NCPG in last 5 years and this percentage has not changed significantly during that period. Detailed statistic data can be clearly seen from Table B-1.Therefore, it is reasonable to select the method (a) to calculate the OM emission factor. 2 Low-cost/must-run resources are defined as power plants with low marginal generation costs or power plants that

are dispatched independently of the daily or seasonal load of the grid. They typically include hydro, geothermal, wind, low-cost biomass, nuclear and solar generation. If coal is obviously used as must-run, it should also be included in this list, i.e. excluded from the set of plants.

3Data Source: China Electric Power Yearbook 2010. P748.


Table B.2 Low-cost/must-run generation in North China Power Grid4

Year Total generation (TWh) Of which low-cost/must run (TWh) Share 2003 725.00 6.243 0.86% 2007 845.7 7.21 0.85% 2008 878.5 10.345 1.18% 2009 941.8 18.2 1.93% 2010 1073.1 32.8 3.06%

The Simple OM can be calculated using either of the two following data vintages for years(s) y:

Ex ante option: If the ex ante option is chosen, the emission factor is determined once at the validation stage, thus no monitoring and recalculation of the emissions factor during the crediting period is required. For grid power plants, use a 3-year generation-weighted average, based on the most recent data available at the time of submission of the CDM-PDD to the DOE for validation.

Ex post option: If the ex post option is chosen, the emission factor is determined for the year in which the project activity displaces grid electricity, requiring the emissions factor to be updated annually during monitoring. If the data required calculating the emission factor for year y is usually only available later than six months after the end of year y, alternatively the emission factor of the previous year (y-1) may be used. If the data is usually only available 18 months after the end of year y, the emission factor of the year proceeding the previous year (y-2) may be used. The same data vintage (y, y-1 or y-2) should be used throughout all crediting periods.

Here ex ante option is chosen, and ple,ygrid,OMsimEF is fixed during the crediting period. For the proposed project, the renewable crediting period, i.e. 7*3 years, is adopted. Step 4. Calculate the operating margin emission factor according to the selected method According to the tool to calculate the emission factor for an electricity system (Version 02.2.1), there are three options to calculating the Simple OM Emission Factor (EFgrid,OMsimple,y):

● Option A: Based on the net electricity generation and CO2 emission factor of each power unit5; or

● Option B: Based on total net electricity generation of all power plants serving the system and the fuel types and total fuel consumption of the project electricity system.

Option B can only be used if:

(a) The necessary data for Option A is not available; and (b) Only nuclear and renewable power generation are considered as low-cost/must-run power

sources and the quantity of electricity supplied to the grid by these sources is known; and (c) Off-grid power plants are not included in the calculation (i.e., if Option I has been chosen in Step

2).

4Data Source: China Electric Power Yearbook (2007:P709; 2008:P474; 2009: P572; 2010:P638; 2011. P748). 5 Power units should be considered if some of the power units at the site of the power plant are low-cost / must-run units and some are not. Power plants can be considered if all power units at the site of the power plant belong to the group of low-cost / must-run units or if all power units at the site of the power plant do not belong to the group of low-cost / must-run units.

UNFCCC/CCNUCC CDM – Executive Board Page 13 Option A should be preferred and must be used if fuel consumption data or average efficiency and fuel type(s) used are available for each power plant / unit. However, the required data for each power plant / unit is unavailable in China. So Option B is applied to calculate the operating margin emission factor. Option B - Calculation based on total fuel consumption and electricity generation of the system

Under this option, the simple OM emission factor is calculated based on the net electricity supplied to the grid by all power plants serving the system, not including low-cost/must-run power plants/units, and based on the fuel type(s) and total fuel consumption of the project electricity system, as follows: The formula of EFgrid,OMsimple,y calculation is

y

yi,,COyi,i

yi,

yOMsimple,grid, EG

EFNCVFCEF

2××

=∑

(3)

Where: EFgrid,OMsimple,y = Simple operating margin CO2 emission factor in year y (tCO2/MWh) FCi,y = Amount of fossil fuel type i consumed in the project electricity system in year y (mass or

volume unit) NCVi,y = Net calorific value (energy content) of fossil fuel type i in year y (GJ / mass or volume

unit) EFCO2,i,y = CO2 emission factor of fossil fuel type i in year y (tCO2/GJ) EGy = Net electricity generated and delivered to the grid by all power sources serving the

system, not including low-cost / must-run power plants / units, in year y (MWh)6

i = All fossil fuel types combusted in power sources in the project electricity system in year y

y = The relevant year as per the data vintage chosen in Step 3 If available, NCVi,y and EFCO2,i,y from the fuel supplier of the power plants in invoices may be used; or, regional or national average default values may be used. In this PDD, NCVi,y of different fuels are obtained from China Energy Statistical Yearbook 2011. With regard to the fuel types where NCVi,y fluctuate in a certain range, the floor values of the fluctuation range are used for conservatism. EFCO2,i,y of fossil fuel comes from 2006 IPCC default values. The Simple OM Emission Factor (EFgrid,OMsimple,y) of the proposed project is calculated on the basis of the fuel consumption data for electricity generation of NCPG, not including those of low-operating cost and must-run power plants, such as wind power, hydropower and nuclear etc. These data are obtained from the China Electric Power Yearbook (2009~2011, published annually) and China Energy Statistical Yearbook (2009~2011). Based on these data, the Simple OM Emission Factor (EFgrid,OMsimple,y) of NCPG is calculated as 1.0021 tCO2e/MWh (see Annex 3 for details). For the proposed project, the renewable crediting period, i.e. 7×3 years, is adopted. Step 5. Calculate the build margin (BM) emission factor In terms of vintage of data, project participants can choose between one of the following two options:

Option 1: For the first crediting period, calculate the build margin emission factor ex ante based on the most recent information available on units already built for sample group m at the time of CDM-PDD submission to the DOE for validation. For the second crediting period, the build margin emission factor should 6 Electricity imports to the grid should be included, and an import from a connected electricity system should be

considered as one power source.

UNFCCC/CCNUCC CDM – Executive Board Page 14 be updated based on the most recent information available on units already built at the time of submission of the request for renewal of the crediting period to the DOE. For the third crediting period, the build margin emission factor calculated for the second crediting period should be used. This option does not require monitoring the emission factor during the crediting period.

Option 2: For the first crediting period, the build margin emission factor shall be updated annually, ex post, including those units built up to the year of registration of the project activity or, if information up to the year of registration is not yet available, including those units built up to the latest year for which information is available. For the second crediting period, the build margin emissions factor shall be calculated ex ante, as described in Option 1 above. For the third crediting period, the build margin emission factor calculated for the second crediting period should be used. For the proposed project, Option 1 is chosen. The sample group of power units m used to calculate the build margin consists of either7:

(a) The set of five power units that have been built most recently, or

(b) The power plants capacity additions in the electricity system that comprise 20% of the system generation (in MWh) and that have been built most recently8.

In NCPG, the information on the five power plants built most recently is not available. According to the EB’s guidance on DNV deviation request, the EB accepted the following deviation9:

● Use of capacity additions during last 1~3 years for estimating the build margin emission factor for grid electricity;

● Use the efficiency level of the best technology commercially available in the provincial/regional or national grid of China, as a conservative proxy, for each fuel type in estimating the fuel consumption to estimate the build margin (BM).

EFgrid,BM,y is determined by the formula as follow:

∑∑ ×

=

mym,

ym,EL,m

ym,

yBM,grid, EG

EFEGEF (4)

Where: EFgrid,BM,y = Build margin CO2 emission factor in year y (tCO2/MWh) EGm,y = Net quantity of electricity generated and delivered to the grid by power unit m in year y

(MWh) FEEL,m,y = CO2 emission factor of power unit m in year y (tCO2/MWh) m = Power units included in the build margin y = Most recent historical year for which power generation data is available 7 If this approach does not reasonably reflect the power plants that would likely be built in the absence of the project

activity, project participants are encouraged to submit alternative proposals for consideration by the CDM Executive Board.

8 If 20% falls on part capacity of a unit, that unit is fully included in the calculation. 9 http://cdm.unfccc.int/Projects/Deviations

On 7 October 2005 DNV requested guidance for projects in China. The EB guidance was given in a response letter entitled “Several projects in China (application of approved methodology AM0005), see http://cdm.unfccc.int/filestorage/A/M/_/AM_CLAR_QEJWJEF3CFBP1OZAK6V5YXPQKK7WYJ2/Several%20projects%20in%20China%20%28application%20of%20approved%20methodology%20AM0005%29.pdf?t=d1l8bHhiaWNwfDAhaHh82kp2O0hQa3Uia-FT While the request for deviation was submitted relating to AM0005, the guidance can also be used for ACM0002 as this directly replaces AM0005 and all OM and BM calculations in these two methodologies are the same.

UNFCCC/CCNUCC CDM – Executive Board Page 15 As we stated in step 5, the information on the five power plants built most recently is not available. Therefore, this proposed project uses the alternative method to calculate EFgrid,BM,y. The project participants choose between two given options for calculating the Build Margin for the project, one is ex-ante calculation, and the other is annual ex-post updating in the first crediting period. For this project the first option is chosen. The Build Margin Emission Factor therefore is based ex-ante on the most recent information available on plants already built at the time of PDD submission. The EFgrid,BM,y therefore is fixed for the first crediting period. Due to the unavailability of data, some changes have been made and approved by CDM EB. That is to calculate the incremental installed capacity and the mix of power generating techniques first, and then calculate the weight of the incremental installed capacity created by all kinds of power generating techniques and finally calculate emission factors by using the maximized efficiency figures of techniques. Since the figures of the capacity of coal-fired, oil-fired and gas-fired power generation cannot be separated from the statistics of thermal power generation, the following measures will be taken in calculation: first, work out the proportion of CO2 emission caused by solid, liquid or gas fuels to the total emission based on the available data of energy balance in the recent year, second, taking the proportion as the weight, calculate the emission factor of thermal power generation for each grid based on the emission factor at the maximized efficiency level of techniques; finally, BM of the grid equals to the emission factor of thermal power generation multiplied the weight of the thermal power installed capacity in the increase of total installed capacity which is close but not exceeding 20% of existing installed capacity. The calculation steps and formulas are as follows: Sub-step 5.1 Calculate the proportion of CO2 emission caused by solid, liquid and gas fuels in the total emission respectively:

∑∑

××

××

=

j,iy,j,i,COy,iy,j,i

j,COALeiy,j,i,COy,iy,j,i

y,Coal2

2

EFNCVF

EFNCVF

λ (5)

∑∑

××

××

=

j,iy,j,i,COy,iy,j,i

j,OILeiy,j,i,COy,iy,j,i

y,Oil2

2

EFNCVF

EFNCVF

λ (6)

∑∑

××

××

=

j,iy,j,i,COy,iy,j,i

j,GASeiy,j,i,COy,iy,j,i

y,Gas2

2

EFNCVF

EFNCVF

λ (7)

Where: Fi,j,y = the amount of fuel i (in a mass or volume unit) consumed by province j in year(s) y NCVi,y = the weighted average net calorific value of the fuel type i in year y (GJ/mass or volume unit) EFCO2,i,j,y = the weighted average CO2 emission factor of fuel type i in year y (tCO2/GJ) Step 5.2 Calculate the emission factor of thermal power generation

EFThermal,y＝λCoal,y×EFCoal,Adv,y + λOil,y×EFOil,Adv,y + λGas,y×EFGas,Adv,y (8)

UNFCCC/CCNUCC CDM – Executive Board Page 16 Where: EFCoal,Adv,y , EFOil,Adv,y and EFGas,Adv,y are emission factor proxies of efficiency level of the best coal-fired, oil based and gas-based power generation technology commercially available in China. Sub-step 5.3 Calculate BM of the grid

yThermal,yTotal,

yThermal,yBM,grid, EF

CAPCAP

EF ×= (9)

Where: CAPThermal,y = the increased installed capacity of thermal power generation; CAPTotal,y = the total amount of incremental installed capacity. The data on different fuel consumptions for power generation and the net caloric values of the fuels are obtained from the China Energy Statistical Yearbook 2011. The emission factors, oxidation factors and effective CO2 emission factor (lower value of 95% confidence interval) of the fuels adopted are obtained from Table 1-4 of 2006 IPCC Guidelines for National Greenhouse Gas Inventories: Workbook.

Referring to the Notification on Determining Baseline Emission Factor of China’s Grid, the build margin emission factor ( grid,BM,yEF ) of NCPG is calculated ex ante as 0.5940 tCO2e/MWh (see Annex 3 for details).

Step 6. Calculate the combined margin emissions factor Based on the tool to calculate the emission factor for an electricity system (Version 03.0.0) the combined margin emissions factor grid,CM,yEF is calculated as follows:

BMyBM,grid,OMygrid,OM,yCM,grid, wEFwEFEF ×+×= (10) Where:

yCM,grid,EF = Combined margin CO2 emission factor in year y (tCO2/MWh) EFgrid, BM, y = Build margin CO2 emission factor in year y (tCO2/MWh)

ygrid,OM,EF = Operating margin CO2 emission factor in year y (tCO2/MWh) OMw = Weighting of operating margin emissions factor (%) BMw = Weighting of build margin emissions factor (%)

The combined margin emissions factor grid,CM,yEF should be calculated as the weighted average of the Operating Margin emission factor ( grid,OM,yEF ) and the Build Margin emission factor ( grid,BM,yEF ), where

OMw = 0.75 and BMw = 0.25 for wind project (owing to their intermittent and non-dispatchable nature) for the first crediting period and for subsequent crediting periods. The ( grid,OM,yEF ) and ( grid,BM,yEF ) are calculated as described in Step 4 and 6.

grid,CM,yEF = 1.0021*0.75+0.5940*0.25 = 0.9001(tCO2e/MWh)

UNFCCC/CCNUCC CDM – Executive Board Page 17 B.6.2. Data and parameters fixed ex ante

Data / Parameter yi,FC

Unit 104tons, 108m3

Description Amount of fossil fuel type i consumed in the project electricity system in year y

Source of data China （Energy Statistical Yearbook 2009~2011） Value(s) applied See Annex 4 for details Choice of data or Measurement methods and procedures

Official statistical data

Purpose of data For the calculation of baseline emission Additional comment -

Data / Parameter NCVi,y

Unit GJ/mass or volume unit of a fuel

Description Net calorific value(energy contents) of the fossil fuel type i in year y

Source of data China Energy Statistical Yearbook 2009~2011

Value(s) applied See appendix 4

Choice of data or Measurement methods and procedures

Official statistical Data; publicly accessible and reliable data source.

Purpose of data For the calculation of baseline emission Additional comment /

Data / Parameter EFco2,i,y

Unit tC/GJ

Description The CO2 emission factor per unit of energy of the fuel i in year y

Source of data 2006 IPCC Guideline for National Green House Gas Inventories, Table 1.3, Chapter 1, Volume 2, P1.21



IPCC default value because local or national data are not available.



Data / Parameter EGy

Unit MWh

Description Net quantity of electricity generated and delivered to the project electricity system (by power unit m), NCPG, in year y

Source of data China Electric Power Yearbook 2009~2011



Official Statistical Data; publicly accessible and reliable data source.


Data / Parameter CAPThermal,y

Unit MW

Description The newly added thermal power capacity in the project electricity system, NCPG, in year y.






Data / Parameter CAPTotal,y

Unit MW

Description The total newly added capacity in the project electricity system, NCPG, in year y.






B.6.3. Ex-ante calculation of emission reductions >>

UNFCCC/CCNUCC CDM – Executive Board Page 19 According to the description in B.6.1 and B.6.2, both project emissions and leakage are zero, therefore PEy=0

As calculated before, the baseline emission factor of the first crediting period is 0.9001 tCO2e /MWh, i.e. yEF = 0.9001tCO2e /MWh (more information are shown in Annex 3).

According to the feasibility study of the proposed project, the net electricity generated is approximately 15,580MWh i.e. styearndyEG 212, − =15,580MWh As per calculation formulae of baseline emission, the estimated anthropogenic emission of the first crediting period is as follows:

BEy =EGy* grid,CM,yEF =14,023tCO2e

With the emissions from the proposed project being zero, the emission reductions of the project activity are equivalent to the emissions of the baseline. The annual emission reduction of the first crediting period is about 14,023 tCO2e.

ERy=BEy=EGy* grid,CM,yEF =14,023tCO2e B.6.4. Summary of ex-ante estimates of emission reductions

Year Baseline

emissions (tCO2 e)

Project emissions(tCO2 e)

Leakage (tCO2 e)

Emission reductions (tCO2 e)

From 01/02/2014 12,854 0 0 12,854 2015 14,023 0 0 14,023 2016 14,023 0 0 14,023 2017 14,023 0 0 14,023 2018 14,023 0 0 14,023 2019 14,023 0 0 14,023 2020 14,023 0 0 14,023 Unit 31/01/2021 1,169 0 0 1,169 Total 98,161 0 0 98,161 Total number of crediting years

7

Annual average over the crediting period

14,023 0 0 14,023

UNFCCC/CCNUCC CDM – Executive Board Page 20 B.7. Monitoring plan B.7.1. Data and parameters to be monitored

Data / Parameter EGfacility,y Unit MWh/yr Description Quantity of net electricity generation supplied by the project activity to the

grid in year y Source of data electricity meters Value(s) applied 14,023 Measurement methods and procedures

The following parameters will be measured: (i) The quantity of electricity supplied by the project plant/unit to the

grid(EGexport,y); and (ii) The quantity of electricity delivered to the project plant/unit from the grid (EGimport,y). Calculated using the following equation: EGfacility,y = EGexport,y-EGimport,y The accuracy of electricity meter is not worse than 0.5s as per the national standard of DL/T 448-2000. According to the relevant technical codes, measurement meters are tested and maintained periodically (calibrating frequency is once per year). A CDM monitoring team will be responsible for the measurements.

Monitoring frequency Continuously QA/QC procedures The accuracy of electricity meter is not worse than 0.5s as per the national

standard of DL/T 448-2000. According to the relevant technical codes, measurement meters are tested and maintained periodically (calibrating frequency is once per year). The metering equipment will be calibrated by an accredited calibration agency according to the sectoral requirement. Calibration Certificates and relevant documents will be collected by the QA/QC unit and transferred to data management unit for archiving. Crosschecked by the receipt of sales or relevant commercial data, to ensure the accuracy and integrality of the data collected.

Purpose of data For the calculation of baseline emission Additional comment -

B.7.2. Sampling plan >> Not applicable B.7.3. Other elements of monitoring plan >> The approved monitoring methodology AMS-I.D is used for developing the monitoring plan. Monitoring tasks must be implemented according to the monitoring plan in order to ensure that the real, measurable and long-term greenhouse gas (GHG) emission reductions for the proposed project is monitored and reported. 1. Description of the monitoring system Bidirectional main meter (M1) and backup meter (M2) with accuracy no less than 0.5s will be installed at the outlet of 35kV line of the project activity site in order to measure electricity import from and export to grid and will be calibrated annually. If the main meter (M1) is failed, the backup meter (M2) will be monitored to substitute the main meter (M1). Figure B-2 illustrates the connection of monitoring equipment. The above mentioned monitoring parameters EGexport,y and EGimport,y will be measured

UNFCCC/CCNUCC CDM – Executive Board Page 21 simultaneously. The net electricity generation (EGfacility,y) is calculated as the electricity delivered to the grid (EGexport,y) minus the electricity purchased from the grid (EGimport,y). Once occurring the emergencies, such as the solar PV won’t generate the electricity, the project owner will import the electricity from the power grid to use as plant self-consumption. The implementation of the monitoring system will be strictly in line with the Power Interchange Agreement to be signed between the project company and the grid company. Legend: : power flow : meter

Figure B-2 Positioning of monitoring equipment 2. Management Structure A CDM Monitoring Team will be established consisting of three units, which are data recording, data management and QA/QC. The staffs of the team will be selected from different departments of the project company. The Team Leader holds the overall responsibilities to the monitoring of the proposed project. His/her role is to ensure that the data monitored are accurately recorded, properly archived, QA/QC procedure is timely carried out and the entire monitoring process is strictly in line with the CDM requirements. He/she will also act as a liaison with the project manager of the consultancy company on a needy basis. The organizational structure of the CDM Monitoring Team and work scope of each unit is illustrated in Figure B-4. The details about QA/QC unit are further elaborated in a below separate section.

Solar cell

array Inverters

Transformer

Substation of the grid

NCPG

The project plant

GHG emission (main emissions: CO2) produced by fossil fuel fired plants in the NCPG

Main meter (M1)

Back meter (M2)


Figure B-3 Management Structure of the CDM Monitoring Team

3. Quality Assurance and Quality Control (QA/QC) QA/QC is to ensure the accuracy of data collected through measures including periodic calibration of monitoring meters, corrective actions, and internal audits. 3.1 Data quality monitoring QA/QC unit is responsible for comparing daily and monthly data reports with on-site original data, crosschecking sales receipts or ETNs with data reports to ensure data consistency and accuracy before transferring data to the data management unit. If problems occur, QA/QC unit manager will report to the team leader immediately. Should any reading of the main meter be inaccurate by more than the allowable error, or otherwise functioned improperly, the monitored data shall be determined by the other meter. 3.2 Calibration One of the responsibilities of the QA/QC unit manager is to ensure that the meters will be calibrated according to the requirements of meter manufacturers and national regulations. Procedure about calibration will be consistent with what is stipulated in the Power Interchange Agreement. The metering equipment will be calibrated by an accredited calibration agency according to the sectoral requirement. Calibration Certificates and relevant documents will be collected by the QA/QC unit and transferred to data management unit for archiving. 3.3 Corrective actions

CDM Monitoring Team

Data Recording Unit

Manually record data from the meters and saved in computer

Compile the original data and prepare daily and monthly data reports which will be regarded as the directly measured data during verification.

Data Management Unit

Archive and manage all data in paper/ electronic format, at least for two years after the end of the last crediting period. Archived materials include original recorded data, daily and monthly data report, receipt of sales, calibration certificate of the meters, etc.

QA/QC Unit

Monitor data accuracy and consistency on a regular basis

Supervise calibration as required by regulations

Report to the team leader immediately if doubts raised about data quality

Monitor the implementation of corrective actions

UNFCCC/CCNUCC CDM – Executive Board Page 23 If problems which can affect the quality of data occur, the QA/QC unit manager will initiate and supervise the implementation of corrective actions. For instance, metering equipment installed shall be inspected by an accredited inspection agency after the repair of all or part of meter caused by the failure of one or more parts to operate in accordance with the specifications. If any errors are detected, the project owner shall fix, recalibrate or replace the meter. If reading of the meter is inaccurate by more than the allowable error, or otherwise functioned improperly, the electricity supplied to the grid by the proposed project shall be determined according to the relative clauses defined in PPA. 4. Monitoring Training Monitoring training is critical to ensure that all members of the CDM Monitoring Team has a thorough understanding of the monitoring procedure and are able to carry out the monitoring tasks strictly in line with the CDM requirements. The team leader is responsible for evaluating training outcome. Only qualified staffs can work on duty. The training will include:

Training on operation and monitoring system of the solar power plant This is the type of training which are routinely carried out by the solar power plant itself for new staffs.

Training on CDM basics with focus on monitoring

It will be carried out by the CDM consultancy company before the project is implemented. The CDM monitoring manual will be used as the primary training materials. The training includes the following contents:

CDM project cycle and the significance of monitoring Management structure and work scope of each team member Components of the monitoring plan QA/QC procedure Monitoring report template Preparation for verification Questions and answers

Date of completion of baseline and monitoring methodology study: 10/04/2013 The persons involved in baseline study are listed as follows: Mr. Qiu Shilei, CDM Office of CWEME, E-mail: [email protected], TEL: +8621 6257 7690 All above are not the project participants. For the project participant’s information, please refer to annex 1.


SECTION C. Duration and crediting period C.1. Duration of project activity C.1.1. Start date of project activity >> No starting date which is not confirmed for the proposed project C.1.2. Expected operational lifetime of project activity >> 25 years and 0 month. C.2. Crediting period of project activity C.2.1. Type of crediting period >> Renewable crediting period (7years*3) The first crediting period is 01/02/2014-31/01/2021 C.2.2. Start date of crediting period >> 01/02/2014 or the date of registration, whichever is later C.2.3. Length of crediting period >> 7 years and 0 month (01/02/2014-31/01/2021)

SECTION D. Environmental impacts D.1. Analysis of environmental impacts >> In accordance with the applicable laws and regulations on environmental protection, the Environmental Impact Assessment (EIA) report of the proposed project has been approved by Ordos City Environmental Protection Bureau on 02/07/2012, with the approval number of E Huan Ping Zi[2012] 411. As stated in the EIA report, the environment impacts of the proposed project on the ambient are summarized as follows: Waste water The total amount of waste water and sewage from daily life and industry will be very small. Before wastewater and sewage are discharged, they will be processed by using sedimentation pond and septic tank to reach the class one of Chinese environmental standard, which shows no impact on the surrounding environment. Dust and exhaust gas During the project construction period, dust might be caused by construction process and transportation, loading and uploading of construction materials. By covering and watering measures, the Project will not have significant impacts on the surroundings. Besides there are no air pollutants emission sources during the Project operation period. Noise

During the Project construction period, the major noise sources involve construction machinery and transportation vehicle. In order to reduce noise imposed on construction workers and nearby residents, the

UNFCCC/CCNUCC CDM – Executive Board Page 25 construction unit should select the construction machinery and transport vehicles in line with relevant national standards, prefer to adopt low-noise construction and technology, and take measures to protect construction workers. There are no noise sources during the Project operation period.

Solid waste

During the project construction period the project owner will clean construction waste in time, no significant effect occurs on the environment. Municipal waste generated will be collected and delivered to landfill.

Ecological impact

The site of the project was in natural wasteland and grassland, with no rare and endangered vegetation species. After completing construction, the project owner will recover vegetation in the land temporarily used by the project. So no significant impact occurs.

In summary via adopting measures of pollution protection and control as well as ecological recovery, the Project will not impact surrounding environment.

No transboundary impacts will occur.

SECTION E. Local stakeholder consultation E.1. Solicitation of comments from local stakeholders >> In 22/10/2012, a public survey was conducted targeted at local residents living around the project site, the representatives from government and relevant organizations. A total of 50 questionnaires were distributed based on the principle of representation and randomness in order that the public opinions and concerns are reflected. All the questionnaires were returned. The background information of the interviewees is as follows: Table E1. The background information of the interviewees

Items Amount Proportion (%)

Gender Male 38 76 Female 12 24

Age <30 12 24

30~50 35 70 >50 3 6

Education level

Junior school 3 6 High school 39 78 College or

above 8 16

Occupation Other 8 16

Worker 15 30 Farmer 27 54

E.2. Summary of comments received >> The survey results are shown in the following table E2. Table E2 the results of the questionnaires


SN Questions Options Proportion (%)

1 Do you know the project? Yes 74

A little 26 No 0

2

Which impact will the proposed project have on the surroundings during the construction and operation period?

Noise pollution 68 wastewater 10

Air pollution 0 Solid waste 6

Ecosystem damage 8 Other pollution 0

3 Which benefit will the project bring to the local society and economy?

the power supply improvement 92

Job opportunities 66 Pollution mitigation 62

Tourism resources development 56 the local economy promotion and the local poverty alleviation 100

4 Does the project improve living standard of the local residents?

Yes 96 No 0

I don’t know 4

5 Is the site selection reasonable? Yes 100 No 0

6 Do you support the project?

Yes 86 Yes if the measures are taken to

control the pollutions 14

No 0 Based on the above table, all of the respondents know the project to some extent and support the project where 14% of the interviewees support the project construction when the owner takes some appropriate measures to control the pollutions generated by the project while 86% of the interviewees support fully the project. All the respondents have the opinion that the project had the reasonable location and will improve the local economy. The survey also shows that the local residents are concerned about the environmental issues generated by the project. The respondents who thought that the project would bring noise, wastewater and ecological issues respectively account for 68%, 10% and 8%. The results indicate that overwhelming majority of the respondents support the construction and operation of the proposed project. For the environmental impact resulting from the proposed project, the interviewees reached the consensus that they will support fully the project if the owner should take the appropriate and effective measures to make the emissions of all the pollutants produced by the project in compliance with the requirements of the relevant standards. E.3. Report on consideration of comments received >> No significant comments have been received in the survey. Furthermore, the emissions of all the pollutants produced by the proposed project will fully satisfy the requirements of the applicable laws and

UNFCCC/CCNUCC CDM – Executive Board Page 27 regulations after the proper actions are taken, as shown in the EIA report of the proposed project. Consequently, there will be no change on design, construction, and operation of the proposed project. The project owner will strictly obey all environmental laws and regulations and do their best to improve the local ecological environment.

SECTION F. Approval and authorization >> The letter(s) of approval from Party(ies) for the project activity is under application.

- - - - -


Appendix 1: Contact information of project participants

Organization name Inner Mongolia Datang International New Energy Co., Ltd. Street/P.O. Box No.7 Yingbin Road, Xincheng District, Hohht City, Inner Mongolia

Autonomous Region Building / City Hohht State/Region Inner Mongolia Autonomous Region Postcode 010010 Country P.R. of China Telephone 86 471 6988143 Fax 86 471 6988141 E-mail [email protected] Website / Contact person Yinan Quan Title / Salutation Mr. Last name Quan Middle name / First name Yinan Department / Mobile / Direct fax 86 471 6988143 Direct tel. 86 471 6988141 Personal e-mail [email protected]


Organization name Department of Climate Change, National Development and Reform Commission of the People's Republic of China

Street/P.O. Box Room No.38, South Yuetan Street, Xicheng District Building / City Beijing State/Region / Postcode 100824 Country P.R. of China Telephone 86 10 68502963 Fax 86 10 68532358 E-mail [email protected] Website / Contact person Cuihua Sun Title Vice Director Salutation Ms. Last name Sun Middle name / First name Cuihua Department / Mobile / Direct fax 86 10 68532358 Direct tel. 86 10 68502963 Personal e-mail [email protected]


Appendix 2: Affirmation regarding public funding

No public funding from parties included in Annex I is available to the project activity.


Appendix 3: Applicability of selected methodology

No further information on applicability of selected methodology is provided.


Appendix 4: Further background information on ex ante calculation of emission reductions

To determine the simple OM emission factor (EFOM,y) and BM emission factor (EFBM,y) of the project, data recommended in the 2011 Baseline Emission Factors for Regional Power Grids in China issued on Otc 25th ,2012 for North China Power Grid are adopted. The following tables summarises the numerical results from the equations listed in the Tool to calculate the emission factor for an electricity system. The information provided by the tables includes data, data sources and the underlying calculations. Table A1. The fuel fired electricity generation of North China Power Grid in 2008

Province Electric generation(MWh) Self service rate(%) Electricity Supplied to the

grid(MWh) Beijing 24,300,000 7.14 22,564,980.00 Tianjin 39,700,000 7.05 36,901,150.00 Hebei 158,000,000 6.9 147,098,000.00 Shanxi 176,200,000 8.22 161,716,360.00

Shandong 200,800,000 7.96 184,816,320.00 Inner Mongolia 268,900,000 7.14 249,700,540.00

Total 802,797,350 Data source: China Electric Power Yearbook 2009 Table A1-1, Data Concerning Net Generation imported from Northeast to the NCPG in 2008 Net Generation imported from

Northeast to North China Power Grid (MWh)

Average OM emission factors in Northeast China Grid

(tCO2e/MWh)

Total Power Supply of North China Grid in 2008 (MWh)

5,286,140 1.10489 808,083,490 Data source: China Electric Power Yearbook 2009 Table A2. The fuel fired electricity generation of North China Power Grid in 2009




Total 853,705,050 Data source: China Electric Power Yearbook 2010 Table A2-1, Data Concerning Net Generation imported from Northeast to the NCPG in 2009

UNFCCC/CCNUCC CDM – Executive Board Page 33 Net Generation imported from



(tCO2e/MWh)


6,982,610 1.06915 860,687,660 Data source: China Electric Power Yearbook 2010 Table A3. The fuel fired electricity generation of North China Power Grid in 2010




Total 963,892,440 Data source: China Electric Power Yearbook 2011 Table A3-1, Data Concerning Net Generation imported from Northeast to the NCPG in 2010 Net Generation imported from



(tCO2e/MWh)


8,815,880 1.10573

974,757,190 Net Generation imported from

Northwest to North China Power Grid (MWh)

Average OM emission factors in Northwest China Grid

(tCO2e/MWh) 2,048,870 0.9853

Data source: China Electric Power Yearbook 2011

UNFCCC/CCNUCC CDM – Executive Board Page 34 Table A4 Fuel consumption and emission of North China Power Grid in 2008

Fuel types unit Provinces in the Regional Grid Subtotal

Effective Carbon

Emission Factor

Effective CO2 emission factor

average low Caloric value

CO2 Emission (tCO2e)

U Beijing Tianjin Hebei Shanxi Shandong Inner Mongolia FCi,y

EFc,i,y (tC/TJ) (kgCO2/TJ) NCVij

(MJ/t,m3,tce)

L=G*J*K/100000 (mass unit)

L=G*J*K/10000 (volume unit)

U A B C D E F G=A+B+C+D+E+F H J K L

Raw Coal 104t 755.75 1800.12 7353.33 7854.39 12360.75 12607.82 42732.16 25.8 87300 20908 779,976,613

Cleaned Coal 104t 23.88 23.88 25.8 87300 26344 549,200

Other Washed Coal 104t 5.05 134.52 582.39 691.21 66.2 1479.37 25.8 87300 8363 10,800,731

Briquettes 104t 5.66 32.49 45.38 83.53 26.6 87300 20908 1524647

Coke 104t 0.02 6.07 6.09 29.2 95700 28435 165,723

Coke Oven Gas 108m3 0.11 0.86 8.37 24.55 16.2 3.55 53.64 12.1 37300 16726 3,346,491

Other Gas 108m3 10.4 9.08 187.54 36 29.76 34.32 307.1 12.1 37300 5227 5,987,440

Crude Oil 104t 0.02 0.02 20 71100 41816 595

Gasoline 104t 0 0 18.9 67500 43070 0

Diesel Oil 104t 0.15 3.08 0.35 3.58 20.2 72600 42652 110,856

Fuel Oil 104t 2.56 0.25 2.81 21.1 75500 41816 88,715

PLG 104t 0 17.2 61600 50179 0

Refinery Gas 104t 0.44 2.93 3.37 15.7 48200 46055 74,809

Natural Gas 108m3 11.09 0.7 0.97 2.12 14.88 15.3 54300 38931 3,145,563

Other Petroleum Products 104t 1.45 1.45 20 72200 41816 43,777

Other Coking Products 104t 7.97 7.61 15.58 25.8 95700 28435 423,968

Other Energy 104tce 4.9 2.34 61.02 466 141.71 63.72 739.69 0 0 0 0

Total 806,239,126

Data source: China Energy Statistical Yearbook 2009



Effective Carbon

Emission Factor






(MJ/t,m3,tce)



U A B C D E F G=A+B+C+D+E+F H J K L

Raw Coal 104t 665.16 1870.36 7623.94 8024.02 12654.05 12538.57 43376.1 25.8 87300 20908 791730246

Cleaned Coal 104t 11.7 11.7 25.8 87300 26344 269080

Other Washed Coal 104t 6.15 247.51 586.04 862.02 104.69 1806.41 25.8 87300 8363 13188417

Briquettes 104t 3.73 31.83 35.56 26.6 87300 20908 649065

Coke 104t 10.43 10.43 29.2 95700 28435 283824

Coke Oven Gas 108m3 0.13 1.27 8.72 19.48 11.69 3.35 44.64 12.1 37300 16726 2784999

Other Gas 108m3 10.23 13.43 228.32 35.89 37.21 48.35 373.43 12.1 37300 5227 7280656

Crude Oil 104t 0.13 0.13 20 71100 41816 3865

Gasoline 104t 0.01 0.01 18.9 67500 43070 291

Diesel Oil 104t 0.1 2.38 3.07 2.64 8.19 20.2 72600 42652 253606

Fuel Oil 104t 0.82 0.19 2.63 0.02 3.66 21.1 75500 41816 115550

PLG 104t 0 17.2 61600 50179 0

Refinery Gas 104t 0.83 3.95 3.44 8.22 15.7 48200 46055 182472

Natural Gas 108m3 13.55 0.63 4.39 0.03 2.03 20.63 15.3 54300 38931 4361086

Other Petroleum Products 104t 1.52 23.18 24.7 20 72200 41816 745721

Other Coking Products 104t 6.62 7.79 5.52 19.93 25.8 95700 28435 542341

Other Energy 104tce 2.11 62.14 570.3 137.68 90.63 862.86 0 0 0 0

Total 822,391,221

Data source: China Energy Statistical Yearbook 2010



Effective Carbon

Emission Factor






(MJ/t,m3,tce)



U A B C D E F G=A+B+C+D+E+

F H J K L

Raw Coal 104t 688.66 2499.57 8896.45 9347.83 13605.64 13864.67 48902.82 25.8 87300 20908 892,607,720

Cleaned Coal 104t 0.87 0.87 25.8 87300 26344 20,009


Briquettes 104t 1.53 41.98 43.51 26.6 87300 20908 794,174

Coke 104t 0 29.2 95700 28435 0

Gangue 104t 252.29 2120.95 898.03 601.17 3872.44 25.8 87300 8363 28,272,293

Coke Oven Gas 108m3 0.04 1.75 17.2 20.41 11.86 4.4 55.66 12.1 37300 16726 3,472,515

BF Gas 108m3 12.89 18.53 295.02 41.74 203.79 49.56 621.53 70.8 219000 3763 51,220,101

Converter Gas 108m3 8.48 0.07 8.55 46.9 145000 7945 984,981

Other Gas 108m3 0 12.1 37300 5227 0

Crude Oil 104t 0 20 71100 41816 0

Gasoline 104t 0 18.9 67500 43070 0

Diesel Oil 104t 0.1 2.27 2.66 0.55 5.58 20.2 72600 42652 172,787

Fuel Oil 104t 0.49 0.17 3.24 0.01 3.91 21.1 75500 41816 123,443

Naphtha 104t 0 20.2 72600 43906 0

Lube Oil 104t 0 20 71900 41398 0

Paraffins 104t 0 20 72200 39934 0

Megilp 104t 0 20 72200 42945 0

Petroleum Asphalt 104t 0 21 69300 38931 0


Petroleum Coke 104t 6.97 12.47 2.82 22.26 26.6 82900 31947 589,535

PLG 104t 0 17.2 61600 50179 0

Refinery Gas 104t 1.37 2.12 2.41 5.9 15.7 48200 46055 130,971

Natural Gas 108m3 16.08 0.57 0.22 6.16 0.16 0.18 23.37 15.3 54300 38931 4,940,309

Other Petroleum Products 104t 0.85 28.14 28.99 20 72200 41816 875,241


Other Energy 104tce 20.42 17.07 45.53 34.66 38.56 20.8 177.04 0 0 0 0

Total 995,406,604

Data source: China Energy Statistical Yearbook 2011 Table A7. Calculation of the CO2 emission proportion among the total respectively of solid, liquid and gas fuel used for power generation


Effective Carbon

Emission Factor




U Beijing Tianjin Hebei Shanxi Shandong

Inner Mongolia FCi,y


(MJ/t,m3,tce)



U A B C D E F G=A+B+C+D+E+

F H J K L

Raw Coal 104t 688.66 2499.57 8896.45 9347.83 13605.64 13864.67 48902.82 25.8 87300 20908 892,607,720

Cleaned Coal 104t 0.87 0.87 25.8 87300 26344 20,009


Briquettes 104t 1.53 41.98 43.51 26.6 87300 20908 794,174

Coke 104t 0 29.2 95700 28435 0

Gangue 104t 252.29 2120.95 898.03 601.17 3872.44 25.8 87300 8363 28,272,293


Total 932,896,721

Crude Oil 104t 0 20 71100 41816 0


Gasoline 104t 0 18.9 67500 43070 0

Diesel Oil 104t 0.1 2.27 2.66 0.55 5.58 20.2 72600 42652 172,787

Fuel Oil 104t 0.49 0.17 3.24 0.01 3.91 21.1 75500 41816 123,443

Petroleum Coke 104t 6.97 12.47 2.82 22.26 26.6 82900 31947 589,535

Other Petroleum Products 104t 0.85 28.14 28.99 20 75500 41816 915,246

Total 1,801,010

Coke Oven Gas 108m3 0.04 1.75 17.2 20.41 11.86 4.4 55.66 12.1 37300 16726 3,472,515

BF Gas 108m3 12.89 18.53 295.02 41.74 203.79 49.56 621.53 70.8 219000 3763 51,220,101

Converter Gas 108m3 8.48 0.07 8.55 46.9 145000 7945 984,981

Other Gas 108m3 0 12.1 37300 5227 0

Naphtha 104t 0 20.2 72600 43906 0

Lube Oil 104t 0 20 71900 41398 0

Paraffins 104t 0 20 72200 39934 0

Megilp 104t 0 20 72200 42945 0

Petroleum Asphalt 104t 0 21 69300 38931 0

PLG 104t 0 17.2 61600 50179 0

Refinery Gas 104t 1.37 2.12 2.41 5.9 15.7 48200 46055 130,971

Natural Gas 108m3 16.08 0.57 0.22 6.16 0.16 0.18 23.37 15.3 54300 38931 4,940,309

Total 60,748,877

Other Energy 104tce 20.42 17.07 45.53 34.66 38.56 20.8 177.04 0 0 0 0

Total 995,446,608

Data source: China Energy Statistical Yearbook 2011 According to the table A7 and equations (6)-(8), λCoal,y=93.72%, λOil,y=0.18%, λGas,y=6.10% as calculated. Thus, AdvGasGasAdvOilOilAdvCoalCoalThermal EFEFEFEF ,,, ×+×+×= λλλ

=0.7668tCO2/MWh

UNFCCC/CCNUCC CDM – Executive Board Page 39 Table A8, Installed capacity of the North China Power Grid 2010

Fuel Types Province Coal Hydro Nuclear Other (wind) Total

MW MW MW MW MW Beijing 5140 1050 0 110 6300 Tianjin 10910 10 0 30 10950 Hebei 36640 1790 0 3720 42150 Shanxi 42100 1820 0 370 44290

Shandong 60020 1070 0 1399 62489 Inner Mongolia 54020 850 0 9730 64600

Total 208830 6590 0 15359 230779 Data sources: The State Electric Industry Yearbook 2011 Table A9, Installed capacity of the North China Power Grid 2009




Total 196600 6350 0 8810 211760 Data sources: The State Electric Industry Yearbook 2010 Table 10, Installed capacity of the North China Power Grid 2008




Total 179040 5260 0 3370 187670 Data sources: The State Electric Industry Yearbook 2009

UNFCCC/CCNUCC CDM – Executive Board Page 40 Table A 11. BM calculation of the North China Power Grid

Installed Capacity

2008

Installed Capacity

2009

Installed Capacity

2010

2008-2010New Capacity Additions

Addition share

MW MW MW A B C D=C-A

Coal 179040.00 196600.00 208830.00 40282.00 77.46% Hydro 5260.00 6350.00 6590.00 -270.00 -0.52%

Nuclear 0.00 0.00 0.00 0.00 0.00% Other (wind) 3370.00 8810.00 15359.00 11989.00 23.06%

Total 187670.00 211760.00 230779.00 52001.00 100.00% Account for

Installed Capacity 2010

81.32% 91.76% 100.00%

EFBM,y=0.7668×77.46%=0.5940 tCO2e/MWh


Appendix 5: Further background information on monitoring plan

No further background information on monitoring plan is provided


Appendix 6: Summary of post registration changes

The proposed project is underway of the validation process and therefore no post registration changes are involved.

- - - - -


History of the document

Version Date Nature of revision04.1 11 April 2012 Editorial revision to change history box by adding EB meeting and annex

numbers in the Date column. 04.0 EB 66

13 March 2012 Revision required to ensure consistency with the “Guidelines for completing the project design document form for small-scale CDM project activities” (EB 66, Annex 9).

03 EB 28, Annex 34 15 December 2006

• The Board agreed to revise the CDM project design document for small-scale activities (CDM-SSC-PDD), taking into account CDM-PDD and CDM-NM.

02 EB 20, Annex 14 08 July 2005

• The Board agreed to revise the CDM SSC PDD to reflect guidance and clarifications provided by the Board since version 01 of this document.

• As a consequence, the guidelines for completing CDM SSC PDD have been revised accordingly to version 2. The latest version can be found at <http://cdm.unfccc.int/Reference/Documents>.

01 EB 07, Annex 05 21 January 2003

Initial adoption.

Decision Class: Regulatory Document Type: Form Business Function: Registration