CLEAN DEVELOPMENT MECHANISM PROJECT DESIGN DOCUMENT … Fujian Cement_V02_GSP.pdf · CLEAN...

PROJECT DESIGN DOCUMENT FORM (CDM-SSC-PDD) - Version 03 CDM – Executive Board page 1

CLEAN DEVELOPMENT MECHANISM PROJECT DESIGN DOCUMENT FORM (CDM-SSC-PDD)

Version 03 - in effect as of: 22 December 2006

CONTENTS A. General description of the small scale project activity B. Application of a baseline and monitoring methodology C. Duration of the project activity / crediting period D. Environmental impacts E. Stakeholders’ comments

Annexes Annex 1: Contact information on participants in the proposed small scale project activity Annex 2: Information regarding public funding Annex 3: Baseline information

Annex 4: Monitoring Information


Revision history of this document Version Number

Date Description and reason of revision

01 21 January 2003

Initial adoption

02 8 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>.

03 22 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.

http://cdm.unfccc.int/Reference/Documents

PROJECT DESIGN DOCUMENT FORM (CDM-SSC-PDD) - Version 03 CDM – Executive Board page 3 SECTION A. General description of small-scale project activity A.1 Title of the small-scale project activity:

Fujian Cement 4# and 5# kilns Waste Heat Recovery for Power Generation Project

Version number: 02

Date: 17/07/2008

A.2. Description of the small-scale project activity:

The Fujian Cement 4# and 5# kilns Waste Heat Recovery Power Project (hereafter referred to as “the Proposed Project”) involves the construction of a waste heat utilization project at the Fujian Cement Inc. There are two clinker production lines in the project activity; one production line is 2,000 t/d commenced operation in December 1990, and another is 2,300t/d began production in September 2001. The two lines have the annual total power demand amount to 118,656MWh, which can just be bought from East China Power Grid in the absence of the project activity. The main objectives of the Project Activity is to meet the electrical supply need of cement production mentioned above and to reduce greenhouse gas emissions through the recovery and use of waste heat from the rotating kiln of the cement clinker production line. This power generation plant in Fujian Cement will be rated at 7.5MW, the total electricity supplied will be 49,436MWh annul. It is firmly believed that the proposed Project Activity will contribute to the sustainable development in the following aspects:

To lead to a positive impact on the cement plant’s economic performance by recovering the waste heat for power generation, as its power source will become more reliable and cost-effective.

To improve the local air quality by the installation of the waste heat boilers, as emission of ash in the flue gas of cement production could be effectively reduced.

To improve the local environment by reducing harmful emissions (including SOx, NOx and floating particles) by WHR power generation in comparing with the traditional fossil-fuel power generation.

To reduce the thermal pollution in atmosphere through recovery the heat by lowering the temperature of the waste flue gas.

To become an early demonstration on showing how energy-saving and emission reduction can be achieved in local cement sectors, where the energy efficiency is 45% lower than the global norms1.

To create more new jobs for local people, also to train more professional technicians in cement WHR power generation.

1 http://www.delchn.cec.eu.int/newsletters/200501/004_zh.htm

http://www.delchn.cec.eu.int/newsletters/200501/004_zh.htm

PROJECT DESIGN DOCUMENT FORM (CDM-SSC-PDD) - Version 03 CDM – Executive Board page 4 A.3. Project participants:

Name of Party involved (*)

((host) indicates a host Party)

Private and/or public entity(ies) project participants (*)

(as applicable)

Kindly indicate if the Party involved wishes to be considered as project

participant (Yes/No)

P.R.China (host) Fujian Cement Inc. (Project Owner) No

- - - (*) In accordance with the CDM modalities and procedures, at the time of making the CDM-PDD public at the stage of validation, a Party involved may or may not have provided its approval. At the time of requesting registration, the approval by the Party (ies) involved is required. Note: When the PDD is filled in support of a proposed new methodology (form CDM-NM), at least the host Party(ies) and any known project participant (e.g. those proposing a new methodology) shall be identified.

A.4. Technical description of the small-scale project activity: A.4.1. Location of the small-scale project activity: A.4.1.1. Host Party(ies):

People’s Republic of China.

A.4.1.2. Region/State/Province etc.:

Fujian Province

A.4.1.3. City/Town/Community etc:

Shunchang County, Nanping City

A.4.1.4. Details of physical location, including information allowing the unique identification of this small-scale project activity :

Fujian Cement 4# and 5# kilns are in Lianshi Cement Plant located in Shunchang country, in the northwest of Fujian Province, is 1.2km far from Shunchang Paixi transformer substation, and also 4km from Jinxi Guiling Reservoir. The national highway is 1.2 km in the northeast of the power plant. The geographical coordinate of the proposed project site are east longitude 106°44′50″, north latitude 30°3′58″. The geographical coordinates of the project site is shown in the Fig. A.4-1 below:


Map of Fujian Province

Project Location

Figure A 4-1: Location of Project site

A.4.2. Type and category(ies) and technology/measure of the small-scale project activity:

According to the categorization of Appendix B to the Simplified Modalities and Procedures for Small-scale CDM Project Activities, the Project type and category are defined as follows:

Type III: Other Project Activities

Category III.Q: Waste Gas based energy system

The Waste Heat Recovery (WHR) system will be proposed to effectively utilize the low temperature waste heat from Suspension Preheater (SP) and Air Quenching Chamber (AQC) in cement production. The steam from SP boiler and AQC boiler will be fed to a steam turbine generator to produce power. The operation, control, monitoring and data logging for the system will be made by one set of DCS system. Design schematic of the proposed project is demonstrated in the Figure A.4-2.


4 waste heat recovery boilers

~

4#SP

4#AQC

5#AQC

5#SP

Power imported from grid

6KV bus-bar

7.5MW steam turbine generator

Figure A 4-2 Thermodynamic system of the project activity

WHR system is proposed in the project activity for power generation. The main equipments in waste heat recovery (WHR) system are two SP boilers, two AQC boilers and a steam turbine generator. Thermodynamic system of the project activity is demonstrated in Fig. A 4-2. The waste heat from SP and AQC will be lead to WHR boilers (SP boiler and AQC boiler) to generate steam for power generation. The Project Activity makes use of domestic heat recovery technology and all the equipments are produced by domestic manufacturers. There is no technology transformation in the proposed project. The model numbers and performance characteristics of the main equipments of the project activity can be seen in the Table A.4-1.

Table A 4-1 Table 1. Key Characteristics of Major Technology Employed by the Project Activity

Name Number Parameters

Steam turbine 1

Type: N7.5 – 1.25 Rated power: 7.5 MW Rotating speed rating : 3000r/min Main steam pressure: 1.25MPa Main steam temperature: 308℃ Steam releasing pressure: 0.008MPa

Generator 1 Type: QF7.5-2 Rated power: 7.5 kW Rotating speed rating: 3000r/min Outlet voltage: 10500V

4#SP Boiler 1 Inlet steam parameter: 170000Nm3/h-370℃ Steam outlet temperature: 220℃ Main steam parameter: 14.9t/h-1.35Mpa-330 (overheat) ℃Air leakage rate: ≤3%

4#AQC Boiler 1 Inlet steam parameter: 125000Nm3/h Steam outlet temperature: 360℃


Section I: Steam parameter: 10.12t/h—1.35MPa—330℃(overheat) Water outlet parameter: 185℃ Section II: Water outlet parameter: 180℃ Water supply parameter: 40℃ Air Leakage: ≤3%

5#SP Boiler 1

Inlet steam parameter: 135000Nm3/h-340℃ Steam outlet temperature: 220℃ Main steam parameter:9.6t/h-1.35Mpa-320 (overheat) ℃ Water supply parameter: 9.6t/h-180 ℃ Air leakage rate: ≤3%

5#AQC Boiler 1

Inlet steam parameter: 59000Nm3/h Steam outlet temperature: 350℃ Section I: Steam parameter: 4.45t/h—1.35MPa—330℃(overheat) Water outlet parameter: 180℃ Section II: Water outlet parameter: 180℃ Water supply parameter: 14.5t/h—40℃ Air Leakage: ≤5%

A.4.3 Estimated amount of emission reductions over the chosen crediting period:

It is expected that the project activities will generate emission reductions within the East China Grid for about 44,722 tCO2e per year over a 10-year fixed crediting period from 01/01/2009 to 31/12/2018.

Years Annual estimation of emission reductions in tonnes of CO2e

2009 44,722 2010 44,722 2011 44,722 2012 44,722 2013 44,722 2014 44,722 2015 44,722 2016 44,722 2017 44,722 2018 44,722

Total estimated reductions (tonnes of CO2e) 447,220 Total number of crediting years 10 Annual average over the crediting period of estimated reductions (tonnes of CO2e) 44,722

The schedule of the proposed project is shown as the table below.

No. Activity Time 1 Feasible Study Report 5/2007 2 FSR Approval 9/2007 3 Environment Impact Assessment 15/7/2007 4 EIA Approval 6/8/2007 5 Start civil construction activities 1/9/2007


6 Commissioning of the Production 4/2008 (planning) A.4.4. Public funding of the small-scale project activity: There is no public funding from Annex I Parties for the Project. A.4.5. Confirmation that the small-scale project activity is not a debundled component of a large scale project activity:

According to Appendix C of the simplified modalities and procedures for small-scale CDM project activities, the proposed project is not a part of any larger scale project or program nor a de-bundled component of a larger project activity, since the project participants further confirm that they have not registered any small-scale CDM activities or applied to register another small CDM project activity within 1km of the project boundary, neither in the same project category and technology/measure, nor registered within the previous two years.

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03

CDM – Executive Board page 9 SECTION B. Application of a baseline and monitoring methodology B.1. Title and reference of the approved baseline and monitoring methodology applied to the small-scale project activity: AMS-III.Q. (Version 01) – “Waste gas based energy systems”.

This methodology is available on the following website: http://cdm.unfccc.int/UserManagement/FileStorage/CDM_AMSVYZ7L4TAXMXBL0BJACYEG22I1P4517 AMS-I.C. (Version 13) – “Thermal energy for the user with or without electricity”.

This methodology is available on the following website: http://cdm.unfccc.int/UserManagement/FileStorage/CDMWF_AM_Q5LOZVUT3BZ8WIP7NR9KGQ76BAZIE1 AMS-I.D. (Version 13) – “Grid connected renewable electricity generation”.

This methodology is available on the following website: http://cdm.unfccc.int/UserManagement/FileStorage/CDMWF_AM_PHPV5WESACMBTJ2YY54GAJYSIEI3HD “Tool to calculate the emission factor for an electricity system” (Version 01)

This tool is available on the following website: http://cdm.unfccc.int/methodologies/Tools/EB35_repan12_Tool_grid_emission.pdf The Simplified modalities and procedures for small-scale clean development mechanism project activities .

This is available on the following website: http://cdm.unfccc.int/Reference/COPMOP/08a01.pdf#page=43 B.2 Justification of the choice of the project category: The methodology AMS-III.Q (version 01) is for project activities that utilize waste gas and/or waste heat (henceforth referred to as waste gas/heat) at existing facilities as an energy source for: • Cogeneration; or

• Generation of electricity; or

• Direct use as process heat source; or

• For generation of heat in element process (e.g. steam, hot water, hot oil, hot air);

The consolidated methodology AMS-III.Q is also applicable to project activities that use waste pressure to generate electricity. The objective of the proposed project activity is to utilize waste heat as an energy source for electricity generation at existing cement production lines which was put into operation at 1990 and . Thus it could primarily be considered that the methodology is applicable to the proposed project activity. In accordance with the items of applicability condition of methodology AMS-III.Q, the description of relevant situation of the proposed project and corresponding conclusions are showing as follow:

http://cdm.unfccc.int/UserManagement/FileStorage/CDM_AMSVYZ7L4TAXMXBL0BJACYEG22I1P4517



http://cdm.unfccc.int/UserManagement/FileStorage/CDMWF_AM_Q5LOZVUT3BZ8WIP7NR9KGQ76BAZIE1



http://cdm.unfccc.int/UserManagement/FileStorage/CDMWF_AM_LPQNF2IC0HM1LAZCQGJPWLSGCP5BB8

http://cdm.unfccc.int/UserManagement/FileStorage/CDMWF_AM_PHPV5WESACMBTJ2YY54GAJYSIEI3HD

http://cdm.unfccc.int/UserManagement/FileStorage/CDMWF_AM_PHPV5WESACMBTJ2YY54GAJYSIEI3HD

http://cdm.unfccc.int/methodologies/Tools/EB35_repan12_Tool_grid_emission.pdf

http://cdm.unfccc.int/Reference/COPMOP/08a01.pdf#page=43




CDM – Executive Board page 10 No. Methodology AMS-III.Q The Project Applicable?

1

· Measures are limited to those that result in emission reductions of less than or equal to 60 kt CO2 equivalent annually.

· The emission reductions of the proposed project is 44,722tCO2 e/yr, which is less than 60ktCO2e. (Further details are provided in Part B6). This is in consistent with the Methodology AMS-III.Q.

Yes

2

· The energy produced with the recovered waste gas/heat or waste pressure should be measurable.

·The energy produced in the project is only electricity, that can be measured though KWH meters installed by project developer.(Further details are provided in Part B7.2). This is in consistent with the Methodology AMS-III.Q.

Yes

3

· Energy generated in the project activity shall be used within the facility where the waste gas/heat or waste pressure is produced.

· The proposed project will use the electricity generated by utilization of waste heat for cement production purpose only and within the project boundary, which is in consistent with the Methodology AMS-III.Q.

Yes

4

·The waste gas/heat or waste pressure utilized in the project activity would have been flared or released into the atmosphere in the absence of the project activity.

·The waste heat utilized in the project would be released into the atmosphere in the absence of the project, so it is consist with the Methodology AMS-III.Q.

Yes

Conclusion: Clearly the project activity is in line with all the applicability criteria and the consolidated baseline methodology AMS-III.Q is applicable.


CDM – Executive Board page 11 B.3. Description of the project boundary: The power generated through the utilization of waste heat by the proposed project activity will be supplied to the cement production facility and will displace electricity currently supplied by the grid. The project will be applied at the cement line of the cement production facility. The project’s spatial boundary can therefore in accordance with AMS-III.Q be defined to be comprised of:

The waste heat exhausts at the SP and AQC stages of cement production line.

The waste heat utilization equipment, which includes: two waste heat recovery boilers (SP and AQC), steam turbine/generator unit and auxiliary devices such as the de-aerator, condenser, and water pre-heater and cooling towers. The projects physical boundary is marked by the point where the project connects to the internal grid.

All power plants connected physically to the electricity grid that the project will affect, which is the East China Power Grid including Shanghai City Power Grid, Jiangsu Power Grid, Zhejiang Power Grid, Anhui Power Gird and Fujian Power Grid.

According to AMS-III.Q，the table below shows gases and sources included in the project boundary.

Table B-1: Summary of gases and sources included in the project boundary

Source Gas Included? Justification/Explanation

CO2 Included Main emission sources.

CH4 Excluded Excluded for simplification. This is conservative.

Bas

elin

e

Electricity generation, grid source

N2O Excluded Excluded for simplification. This is conservative.

CO2 Excluded No auxiliary fuels are fired in the project activity, so the emissions resource will be excluded.

CH4 Excluded No auxiliary fuels are fired in the project activity, so the emissions resource will be excluded.

Supplemental fossil fuel consumption at the project

plant

N2O Excluded No auxiliary fuels are fired in the project activity, so the emissions resource will be excluded.

CO2 Included Main emission sources.

CH4 Excluded Excluded for simplification. This is conservative.

Proj

ect A

ctiv

ity

Project electricity consumption.

N2O Excluded Excluded for simplification. This is conservative.

B.4. Description of baseline and its development:

Based on the information provided in Appendix B of the simplified modalities and procedures for small-scale CDM activities, that the approved Revision Baseline methodology AMS-III.Q. (Version 01) is applicable to the Project. According to methodology AMS-III.Q., the baseline of the Project is the Grid provides the equivalent electricity to the generation of the Project, and the baseline emissions equals to the renewable generating unit multiplied by an emission coefficient (measured in kg CO2equ/kWh) calculated in a transparent and conservative manner.

At the same time, the combined margin (CM), consisting of the combination of operating margin (OM)


CDM – Executive Board page 12 and build margin (BM) can be decided according to the procedures prescribed in the approved “Tool to calculate the emission factor for an electricity system”.

For the detailed information, please refer to section B.6.3. and Annex 3 in this documents.

B.5. Description of how the anthropogenic emissions of GHG by sources are reduced below those that would have occurred in the absence of the registered small-scale CDM project activity:

Additionality of the Project is demonstrated based on the requirement of Appendix A to the Simplified Modalities and Procedures for Small-scale CDM Project Activities.

As for the proposed project, which is the first Cement WHR project in Fujian Province and faces various barriers. Such as the Technological barriers, the Financing barriers and also the First of its kind barriers. Invest analysis Sub-step a – Determine appropriate analysis method According to the Tool for the demonstration and assessment of additionality, one of three options must be applied for this step:

simple cost analysis (where no benefits other than CDM income exist for the project)

investment comparison analysis (where comparable alternatives to the project exist) or

benchmark analysis. In this case, since cost savings from avoiding continuing electricity imports could be regarded as revenue, simple cost analysis is not applicable. Investment comparison analysis is not appropriate, since the alternative to the project activity is to import the electricity from the ECPG instead of investing in an alternative power generation project (thus the alternative requires no investment). Benchmark analysis is therefore the most appropriate approach in this case, because it can clearly show the logic behind the investment decision-making for the proposed projects. Sub-step b: Option III - Apply benchmark analysis The financial attractiveness of this project will be determined by comparing the project IRR (without carbon) with the benchmark rate applied in China’s cement industry, which is standard recommended by the industry experts and is widely used at present in China. The industry financial benchmark is included and published by the China2. The equity benchmark is accordingly set at 12%. If the project equity IRR (without carbon) is less than 12%, the project is considered not be financially attractive in the absence of CDM revenues, and is therefore considered to be additional. Sub-step 2c: Calculation and comparison of financial indicators The table below represents the main information used in the IRR calculation for the Project activity. As per the footnote 7 of the Additionality tool, equity IRR is calculated since there is only one project developer. Details of the equity IRR calculation are provided in the separate document.

Table B.5-1: Main parameters used for financial calculations

2 Methodology and Parameters applying in Constructive Project Economic Analysis (2006), Page 202, China Planning Publisher, Beijing


CDM – Executive Board page 13

Main parameters Unit Data fixed asset investment RMB 50,840,000 Long-term loan RMB 29,720,000 Long-term interest rate % 7.11 Electricity tariff (without tax) RMB/MWh 303 Electricity supply MWh 49,436 O＆M costs/yr RMB/yr 8,552,556 Project life years 20 VAT % 17 Surtax of urben construction and maintenance % 7 Surtax of eduction % 3 Income rate % 33 Equity IRR (after tax, without CDM revenue % 7.29 Equity IRR (after tax, with CDM revenue % 19.47

Note: 1) Initial investment cost are estimated based on the information from Engineering Objective of

Power Plant compiled in the Budget Norm of Electricity Construction issued by China Electricity Council and the National Price Compilation of Electromechanical Devices for Engineering Construction, adjusted to the current price level in Hainan Province.

2) O&M costs are estimated based on the current price of raw material, wage level and repair charge, etc.

3) It is expected that the production rate arrives 90% of the full capacity in the first year and full load will be achieved afterward.

4) Equity IRR with CERs is calculated under the assumption of 8 EURO/CER for CERs price. As shown in the table, without CDM revenue the entity IRR is 7.29% which is much lower than the benchmark rate of 12%. This therefore indicates that in comparison to other alternative investments, the project without carbon credits is not financially attractive to a rational investor. With the additional income from CDM revenue, the equity IRR of the Project activity increases to 19.47%, which is above the benchmark of 12%. Sub-step d. Sensitivity analysis In accordance with the Feasibility Study report, the following three financial parameters were taken as uncertain factors for sensitive analysis to examine whether the conclusion regarding the financial attractiveness of the Project is robust. 1) Changes in the initial equipment costs from –10% to +10% 2) Changes in electricity supplying from –10% to +10% 3) Changes in O&M costs from –10% to +10%

Table B.5-3 Influence of various changes in key parameters on the project’s IRR

-10% -5% 0% +5% +10% Electricity tariff 4.17% 5.77% 7.29% 8.76% 10.18% Initial equipment costs 8.24% 7.75% 7.29% 6.86% 6.45% O&M costs 8.83% 8.07% 7.29% 6.49% 5.66%



0.00%

2.00%

4.00%

6.00%

8.00%

10.00%

12.00%

-15% -10% -5% 0% 5% 10% 15%

Electricity tariff Initial equipment costs O&M costs a

Figure B.5-1 Sensitivity Analysis Even considering the most optimistic conditions in each scenario, the equity IRRs of the Project activity are still below the benchmark of 12%, which confirms the fact that the Project activity is unlikely to be financially attractive and successful implementation is dependent on CDM assistance. Outcome: Above analysis shows that the Project activity is unlikely to be financially attractive. Therefore, barrier analysis is conducted as follows. Barrier analysis: Technological barriers During the past several years, the technology of clinker production has been developed explosively, there are about hundreds production lines constructed though the modification of existing facility or the new facility built. However, from the 1996 to November 2005, there are just 4 lines of clinker productions above apply the waste heat utilization and power generation system.3 According to the research of industry experts, there are many technical reasons led to the current situations. Such as:

The Low temperature of the SP waste heat not fit for the domestic equipments; The AQC and SP in series bring the barriers of the heat systems; The barriers about the utilization of waste heat which below the 200℃; The barriers from the choice, the maintenance and the operation of turbine; The barriers from the choice, the maintenance and the operation of waste heat boiler; The barriers from the cooperation between the clinker production system and the power plant;

The details of such barriers refer to the article written by the industry experts. The project entity uses domestic equipment for the project activity therefore technological barriers which mentioned above are more distinct in the context of proposed project. Also the barriers mentioned in the above article including the maintenance and the operation of waste heat boiler and the cooperation between the clinker production system and the power plant will lead to increase the operation and maintenance cost, which is described in details as following: 3 Any problems about the pure-low temperature waste heat utilization for power generation in Cement industry, 11, November, 2005, Tang Jinquan. http://www.chinacements.com/news/2005/11-11/C1764869363.htm



The barriers from the maintenance and the operation of waste heat boiler The feature of the dust in exit gases from AQC is the strong hardness which will make the heat exchanger surfaces of AQC boilers abraded quickly. If anti-wear measure of the AQC boiler is inappropriate, the normal running of AQC boilers will be influenced. The anti-wear measure of domestic equipment is less efficient than that of advanced foreign equipment, thereby also forming a barrier to the project activity. The pressure in the SP boiler is high. In case serious air leakage exists, there would be a great deal of cold air seeped in 4 , thereby reducing the quantity of steam generated and increasing the power consumption of fan. Therefore, air leakage of boilers will reduce economic performance and increase its operation costs of the project activity.

The barriers from the cooperation between the clinker production system and the power plant;

Furthermore, the project entity lack experience in operation of waste heat recovery for power generation. And its staffs also know little about this domestic low-temperature power generation technology, which will make the steady and safe operation of the waste heat recovery for power generation project more difficult. Thus, the necessary technical staffs also form a barrier to the proposed project activity. Although the project entity will make significant efforts to train staff in the operation of the project, future complications during operation and maintenance may affect the performance of the project and lower its attractiveness. However, these barriers will be non-existent if the project entity imports the equivalent amount of electricity from the grid as before. Investment Barriers

Under the dual pressures of the market competition and the macro-control economic policy of the government

By the end of 2005, the cement production capacity in China has reached 1.287 billion tones5 and the actual cement production of that year reached 1.064 billion tones6. But the average capacity among the 5,000 cement plants in China is only 200,000 tones which mean that no one has the controlling ability over the regional cement market. The logical result of this situation is the fierce competition and low price. The cement price range in domestic market is between RMB 240.00~340.00/ton7 and for export, FOB USD 30.00/ton8. While in foreign cement markets the price is above USD 60.00/ton, sometimes over USD100.00/ton 9 .This shows that the Chinese cement enterprises are suffering at low profit and their capital accumulation capability is considerably weak.

4 Tang Jinquan, Chang Zigang. Several Problem of Low-temperature Waste Heat Recovery for Power Generation in Cement Kiln. Cement, 2005, 4: 5~10, page 9 5 http://news.xinhuanet.com/fortune/2006-05/08/content_4520155.htm 6 http://www.51report.com/research/detail/7256816.html 7 http://www.gd-cement.com/snookerPool/ShowArt.jsp?id=1254 8 http://www.szbma.com/snookerPool/ShowArt.jsp?id=2624 9 http://chanye.finance.sina.com.cn/jc/2006-08-14/296371.shtml and http://gqfz.p5w.net/gqfz/finalpage/2006-07-05/17656734.html


CDM – Executive Board page 16 The fierce competition can also be seen from the payment terms. Many cement enterprises have to accept credit transactions only in an attempt not to lose orders. This is not only reduced the profit but also made the cement plants suffer potential risks from receivables10. The above mentioned difficulties in arranging financing through the bank system are compounded by the macro-control economic policy. That is in order to avoid the potential harms to the national economy from the over investment, the central government carries out the macro-control economic policy in recent years and the banks are getting to follow a credit squeeze policy towards cement enterprises thus makes the project entity even more difficult in obtaining bank loans. At present, banks have already reduced bank lending to the cement industry resulting in cement companies experiencing significant difficulties in obtaining bank and credit11. For this project activity, the banks also would not extend a loan to the project for above-mentioned reasons, such as the Shunchang Subbranch of China Agricultural Bank, the Shunchang Subbranch of Industrial and Commercial Bank of China (ICBC) 12 . After the signation of CDM consulting contract, the project owner apply for the loan again, on considering the additional income of CERs and the guarantee of the clean development mechanism, then the Shunchang Subbranch of Societe Generale approved to provide a loan for the proposed project13. First-of-its kind The Proposed Project will be the first such investment undertaken by the Fujian Cement Inc. and also the first one in Fujian Province. The company’s portfolio of investments has solely been in the field of cement and has not been in the procurement of technology to generate power. As such it is critical that the waste heat recovery investment brings the same returns as the other investments in their portfolio otherwise capital would not be diverted from the core business of investment in cement works. As it stands the project is considered to have too many associated risks and the returns are not considered to be sufficient to mitigate these risks as outlined below. Indeed this project was not considered for financing by the developer prior to the contaction with the consultant firm to get the information that the first Cement WHR project of China had been registered as a CDM project in EB14. Conclusion: However, all the barriers, including investment barriers and technological barriers, will be non-existent if the project entity opts to import the equivalent amount of electricity from the regional power grid as before, witch will leads to higher GHG emissions than the project. B.6. Emission reductions:

B.6.1. Explanation of methodological choices: The consolidated methodology AMS-III.Q is applied in the context of the Project in the following steps:

Step1: Calculate the emission factor of grid;

Step2: Calculate the baseline GHG emissions;

Step3: Calculate the project GHG emissions; 10 http://www.cementbbs.com/dispbbs.asp?boardid=12&id=11247 11 State Council (2006), Announcement of the State Council on Structral Adjustments In Industries with Production Overcapacity, Guofa [2006] Document No.11. 12 The evidences can be submitted to the auit team 13 The agreement to provide a loan from the the Shunchang Subbranch of Societe Generale 14 http://cdm.unfccc.int/Projects/DB/TUEV-SUED1144832273.71/view


CDM – Executive Board page 17 Step4: Calculate the emission reductions.

Calculation of the CO2 emission factor for the electricity of East China Power Grid

The calculation of the GHG emission reductions by the proposed project is followed the “Tool to calculate the emission factor for an electricity system” (EB35, annex 12).

The baseline emission factor (EFy) is calculated ex-ante as the simple average of the operating margin emission factor (EFOM，y) and the build margin emission factor (EFBM，y). In accordance with the “Tool to calculate the emission factor for an electricity system”, the baseline emission factor can be calculated with the following steps described below. Step 1. Identify the relevant electric power system According to the“Tool to calculate the emission factor for an electricity system”, the data published by the DNA of China is selected. Therefore, in accordance to the latest delineation published by DNA of China on August 9th of 2007, East China Power Grid (ECPG) is identified as the electric power system, from which would provide electricity in baseline scenario. The spatial extent of the ECPG comprises all the power plants connected physically to the East China Grid, which covers Shanghai City Power Grid, Jiangsu Power Grid, Zhejiang Power Grid, Anhui Power Gird and Fujian Power Grid. Step 2. Select an operating margin (OM) method. the Operating Margin Emission Factor ( ) based on one of the four following methods: yOMEF ,

(a) Simple OM, or (b) Simple adjusted OM, or (c) Dispatch data analysis OM, or (d) Average OM.

Any of the four methods can be used, however, the simple OM method (option a) can only be used if low-cost/must-run resources constitute less than 50% of total grid generation in: 1) average of the five most recent years, or 2) based on long-term averages for hydroelectricity production. Among the total electricity generations of the North China Power Grid which the Project is connected into, the amount of low-cost/must run resources accounts for about 11.46% in 2001, 11.86% in 2002, 10.96% in 2003, 9.77% in 2004 and 11.94% in 200515, all less than 50%. Thus, the method (a) Simple OM can be used to calculate the baseline emission factor of operating margin ( ) for the Project. yOMEF ,

For the simple OM, the emissions factor is selected to be calculated using either of the data vintages between any of: Ex ante option or Ex post. For this PDD Ex ante option is selected, which is 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, without requirement to monitor and recalculate the emissions factor during the crediting period,

Step 3. Calculate the Operating Margin emission factor (EFgrid,OM,y)

In accordance with the “Tool to calculate the emission factor for an electricity system” , the simple OM emission factor is calculated as the generation-weighted average CO2 emissions per unit net electricity generation (tCO2/MWh) of all generating power plants serving the system, not including low-cost / must-run power plants / units. It may be calculated:

• Based on data on fuel consumption and net electricity generation of each power plant / unit (Option A), or • Based on data on net electricity generation, the average efficiency of each power unit and the fuel type(s) used in each power unit (Option B), or • Based on data on the 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 C) According to the “Tool”, Option A should be preferred and must be used if fuel consumption data is available for each power plant / unit. However, due to the necessary data, including the fuel consumption and net electricity generation of each power plant, is not available in China, Option C is adopted and accordingly only nuclear and renewable power generation are considered as low-cost/must-run power sources and data of the quantity of electricity supplied to the grid by these sources should be available.

As per Option C, 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:

y

yiCOyii

yi

simpleOMgrid EG

EFNCVFC ,,2,,

,,,

××⋅=∑

ysimpleOMgrid ,,,

yiNCV ,

yiCOEF ,,2

yEG

i

y

y(1)EF

where: EF is Simple operating margin CO2 emission factor in year y (tCO2/MWh)

is the amount of fuel i (in a mass or volume unit) consumed by project electricity system in year(s) y,

yiFC ,

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

is CO2 emission factor of fossil fuel type i in year y (tCO2/GJ) is 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)

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

is Either the three most recent years for which data is available at the time of submission of the CDM-PDD to the DOE for validation (ex ante option), following the guidance on data vintage in step 2

For this approach (simple OM) to calculate the operating margin, the subscript m refers to the power plants / units delivering electricity to the grid, not including low-cost/must-run power plants / units, and including electricity imports to the grid. Electricity imports should be treated as one power plant m.

The simple OM is calculated with reference to the Notification on Determining Baseline Emission Factor of China’s Grid issued by Chinese DNA (http://cdm.ccchina.gov.cn), (see Annex 3 for details).

Step 4. Identify the cohort of power units to be included in the build margin

The sample group of power units m used to calculate the build margin consist of ether:

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

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

Due to the information of the five power plants built most recently in each regional gird of China is not available. Therefore, the sample group of power units m used to calculate the build margin is chosen (b).

In terms of vintage of data, Option 1 is chosen:

Option1. For the first crediting period, calculate the build margin emission factor ex-ante based on the

http://cdm.ccchina.gov.cn/


CDM – Executive Board page 19 submission to the DOE for validation. For the second crediting period, the build margin emission factor should 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.

Step 5. Calculate the Build Margin emission factor (EFgrid,BM,y)

The build margin emissions factor is the generation-weighted average emission factor (tCO2/MWh) of all power units m during the most recent year y for which power generation data is available, calculated as follows:

∑∑ ×

=

mym

mymELym

y EG

EFEG

,

,,,

,

yBMgridEF ,,

ymEG ,

ymELEF ,,

BMgridEF , (2)

Where:

Build margin CO2 emission factor in year y (tCO2/MWh) Net quantity of electricity generated and delivered to the grid by power unit m in year y

(MWh)

CO2 emission factor of power unit m in year y (tCO2/MWh) m Power units included in the build margin

The sample group of power units m used to calculate the build margin is chosen (b) in step 4. According to the EB’s guidance on DNV deviation request, “Request for clarification on use of approved methodology AM0005 for several projects in China”, the EB accepted the following deviation16:

- 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).

In accordance with the “Tool to calculate the emission factor for an electricity system”, the CO2 emission factor of each power unit m (EFEL,m,y) should be determined as per the guidance of options B1, B2 or B3 to calculate the simple OM, using for y the most recent historical year for which power generation data is available, and using for m the power units included in the build margin.

due to for a power unit m only data on electricity generation and the fuel types used is available in China, so the emission factor should be determined using Option B2 based on the CO2 emission factor of the fuel type used and the efficiency of the power unit.

Therefore, EFgrid,BM,y should be calculated by the above method, the calculation formula is:

yfossilEL

msy

msyfossil

yBMgrid EFCAP

CAPEF ,,

,

,, ×=∑∑

−

−

(3)

Where:

Total capacity additions of fossil fuel fired power of ECPG from year s to year y, ΣCAPfossil,y-s Total capacity additions of ECPG from year s to year y, ΣCAPy-s


CDM – Executive Board page 20 EFEL,fossil ,y The emission factor for fossil fuel fired power of ECPG with the efficiency level of the

best technology commercially available, y Mostly recent year that the relevant data can be obtained publicly, s Determined by:

Starting from year y, the differences of total installed capacity of the grid between year y and year y-1, year y and year y-2, …year y and year y-s, year y and year y-s-1, …are calculated respectively, and then divided by the installed capacity of y year. The year that can make the left-hand side of the following formula greater than 20% will be regarded as s. The formula is as follows: ΣCAPy-s/ΣCAPy (see Annex 3 for detailed information)

The types of fossil fired power include coal-fired, oil-fired and gas-fired power, so the emission factor for fossil fuel fired power with the efficiency level of the best technology commercially available is calculated as follows:

AdvCoalCoalyadvfossilBL EFEF ,,,, yAdvGasGasyAdvOilOily EFEF ,,,,, +×= λλ × + λ × (4)

Where:

is the different kinds of fuel emission share of total Emissions in ECPG. Coal, Oil and Gas is the feet for solid fuels, liquid fuels and gas fuels.

λ

It is calculated as follows:

∑∑ ×

= ∈ jCOALijiyji COEFF

,,,,

λ (5)×

jijiyji

Coal COEFF,

,,,

∑∑

×

×= ∈

jijiyji

jOILijiyji

Oil COEFF

COEFF

,,,,

,,,,

λ (6)

∑∑

×

×= ∈

jijiyji

jGASijiyji

Gas COEFF

COEFF

,,,,

,,,,

λ (7)

Where: Fi,m,y is the amount of fuel i (in a mass or volume unit) consumed by plant m in year y; COEFi,m is the CO2 emission coefficient (tCO2e / a mass or volume unit) of fuel i, taking into

account the carbon content of the fuels used by plant m and the percent oxidation of the fuel in year y; Coal, Oil and Gas is the feet for solid fuels, liquid fuels and gas fuels.

. EFCoal,Adv, EFOil,Adv and EFGas,Adv in formula(2-4) represent the related Emission Factor of the commercially available most advanced coal, oil and gas fired power technology, which shall be determined using Option B2, as follows:,

6.3,

,, ×=advcoal

coalyadvcoal

COEFEFη

(8)



6.3,

,, ×=advoil

oilyadvoil

COEFEFη

(9)

6.3,

,, ×=advgas

gasyadvgas

COEFEF

η (10)

Where:

ηAdv net energy conversion efficiency of the best thermal power technology commercially. Coal, Oil and Gas is the feet for solid fuels, liquid fuels and gas fuels.

The build margin emissions factor (EFgrid,BM,y) is calculated with reference to the Notification on Determining Baseline Emission Factor of China’s Grid issued by Chinese DNA (http://cdm.ccchina.gov.cn), (see Annex 3 for details).

Step 6. Calculate the combined margin emissions factor

The baseline emission factor is the weighted average of the Operating Margin emission factor (EFOM,y) and the Build Margin emission factor (EFBM,y):

yBMgridBMyOMgridOMy EFwEFwEF ,,,, +⋅=

yBMgridEF ,,

yOMgridEF ,,

⋅ (11)

Where:

Build margin CO2 emission factor in year y (tCO2/MWh) Operating margin CO2 emission factor in year y (tCO2/MWh)

wOM Weighting of operating margin emissions factor (%) wBM Weighting of build margin emissions factor (%)

Where the weight wOM and wBM by default, are 50%.

The proposed project adopts the default weight. Based on the emission factors calculated in the previous 2 steps, the baseline emission factor is EFy=EFOM,y*0.5+ EFBM,y*0.5=0.90465 tCO2e/MWh Calculate the baseline GHG emissions The baseline emissions for the year y shall be determined as follows:

yElecy BEBE ,= (12)

yBE are baseline emissions during the year y in tons of CO2

yElecBE , are baseline emissions from electricity during the year y in tons of CO2

Baseline emissions from electricity (BEelectricity,y) that is displaced by the project activity:

y,Elecynetcapy,Elec EF*EG*fBE ，=

(13)

Where:

is the net quantity of electricity supplied to the cement plant by generator, which in the absence of the project activity would have been sourced from grid during the year y in MWh, y,AUXyGENynet EGEGEG −= ，， ,and

y,netEG




y,ElecEF is the CO2 emission factor for the grid electricity, displaced due to the project

activity, during the year y in tons CO2/MWh

capf Energy that would have been produced in project year y using waste gas/heat generated in base year expressed as a fraction of total energy produced using waste gas in year y. The ratio is 1 if the waste gas/heat/pressure generated in project year y is same or less than that generated in base year.

Capping of baseline emissions As an introduction of element of conservativeness, this category requires that baseline emissions should be capped irrespective of planned/ unplanned or actual increase in output of plant, change in operational parameters and practices, change in fuel types and quantity resulting in increase in waste gas generation. In case of planned expansion a separate CDM project should be registered for additional capacity. The cap can be estimated using the two methods described below. In order to apply the cap the energy produced should be multiplied by a capping factor fcap. Due to data of waste heat released into the atmosphere under normal operation in the proposed project activity is unavailable, and then Method-2 is adopted. Method-2: The manufacturer’s data for the facility shall be used to estimate the amount of waste gas/heat/pressure that the industrial facility generates per unit of product generated by the process that generates waste gas/heat/pressure (either the product of a section of the plant or product of entire plant, whichever is more representative). In case any modification is carried out by project proponent or in case the manufacturer’s data is not available, an assessment should be carried out by independent qualified/certified external process experts such as a chartered engineer to estimate a conservative quantity of waste gas generated by plant per unit of product manufactured by the process generating waste gas/heat/pressure. The value arrived at based on above sources of data shall be used to estimate the baseline cap (fcap). The documentation of such assessment shall be verified by the validating DOE. For that purpose fcap is estimated as follows:

y,WG

BL,WGcap Q

Qf =

(14)

productionwgproductionBLBLWG qQQ ,,, ×= (15)

Where:

QWG,BL

Quantity of waste heat generated prior to the start of the project activity. (kJ)

QWG,y

Quantity of waste gas used for energy generation during year y (kJ)

productionBLQ , Production by process that most logically relates to waste heat generation in baseline. This is estimated based on 3 years average prior to start of project activity.

productionwgq , Amount of waste heat the industrial facility generates per unit of product generated by the process that generates waste gas/heat/pressure.

According to the methodology AMS-III.Q, in case of the calculated value of fcap is higher than 1, fcap is set to 1.


CDM – Executive Board page 23 We therefore apply a value of 1 temporarily in subsequent calculations of emission reductions in this PDD. The project entity will monitor the quantity of waste heat used for energy generation during year y of the proposed project, and then the value of fcap will be updated ex-post on the basis of the actual conditions. Calculate the project GHG emissions Project Emissions include emissions due to combustion of auxiliary fuel to supplement waste gas and electricity emissions due to consumption of electricity for cleaning of gas before being used for generation of heat/energy/electricity.

yELyAFy PEPEPE ,, +=

(16)

yPE Project emissions due to project activity.

yAFPE , Project activity emissions from on-site consumption of fossil fuels by the project plant(s), in case they are used as supplementary fuels, there is no supplementary fuels used in the proposed project. So it will not account this part of emissions. Project activity emissions from on-site consumption of additional electricity.

yELPE , The electricity consumed by the project is mostly from the electricity generated in the proposed project during the running period; only a little part electricity transferred from the grid during the start and maintain period, all of these electricity will be accounted into the auxiliary electricity consumption .During the calculation of baseline

emissions, is calculated asy,AUXEG

y,NetEG AUXGENy,Net EGEGEG −= . So it is no need to account this part of emissions repeatedly.

Calculate the emission reductions As per the small-scale methodology AMS-III.Q, the emission reduction ( ) by the project activity during a given year y is the difference between the baseline emissions though substitution of electricity generation with fossil fuels ( ) and project emissions ( ), as follows:

yER

yBE yPE

yyy PEBEER −= (17)

Where:

yER is the emissions reductions of the project activity during the year y (tCO2e),

yBE is the baseline emissions due to displacement of electricity during the year y (tCO2e),

yPE is the project emissions during the year y (tCO2e).

B.6.2. Data and parameters that are available at validation: Data / Parameter: NCVi Data unit: TJ/mass or volume unit of a fuel Description: The net calorific value per mass or volume unit of a fuel i Source of data used: China Energy Statistical Yearbook 2005, pg 365 Value applied: Please refer to Annex 3


CDM – Executive Board page 24 Justification of the choice of data or description of measurement methods and procedures actually applied :

Official Statistical Data

Any comment: Reasonable

Data / Parameter: OXIDi Data unit: % Description: The oxidation factor of the fuel i Source of data used: IPCC 2006 Value applied: Please refer to Annex 3 Justification of the choice of data or description of measurement methods and procedures actually applied :

IPCC 2006 Default Value

Any comment: To calculate OM and BM Data / Parameter: FCi,y Data unit: Mass or volume unit Description: Amount of fuel i (in a mass or volume unit) consumed by project

electricity system in year(s) y Source of data used: China Energy Statistical Yearbook Value applied: Please refer to Annex 3 Justification of the choice of data or description of measurement methods and procedures actually applied :

According to the “Tool to calculate the emission factor for an electricity system”, the proposed project uses the national values

Any comment: Accurate

Data / Parameter: EGy Data unit: MWh Description: Net electricity generated and delivered to the grid by all power sources

serving the system, not including low-cost/must-run power plant/units, in year y (MWh)

Source of data used: China Electric Power Yearbook Value applied: Please refer to Annex 3 Justification of the choice of data or description of measurement methods and procedures actually applied :

This kind of data accords with the “Tool to calculate the emission factor for an electricity system”

Any comment: Reasonable (calculated from the electricity generation and the rate of electricity self-consumption )

Data / Parameter: ηm,y Data unit: -


CDM – Executive Board page 25 Description: Average net energy conversion efficiency of power unit m in year y Source of data used: National official data sources Value applied: For the detailed information please see the Report on Determination of

Baseline Grid Emission Factor by China DNA NDRC at http://cdm.ccchina.gov.cn.

Justification of the choice of data or description of measurement methods and procedures actually applied :

This kind of data accords with the “Tool to calculate the emission factor for an electricity system” and the clarifications for some proposed projects in China.

Any comment: Reasonable Data / Parameter:

iCOEF,2

Data unit: tCO2e/TJ Description: the CO2 emission factor per unit of energy of the fuel i Source of data used: IPCC 2006 Value applied: For the detailed information please see the Report on Determination of

Baseline Grid Emission Factor by China DNA NDRC at http://cdm.ccchina.gov.cn.

Justification of the choice of data or description of measurement methods and procedures actually applied :

IPCC 2006 Default Value

Any comment: To calculate OM and BM

Data / Parameter: CAP,j,y Data unit: MW Description: Installed capacity of source j in year y in Central Power Grid Source of data used: China Electric Power Yearbook 2003-2005 Value applied: Please refer to Annex 3 Justification of the choice of data or description of measurement methods and procedures actually applied :

Official Statistical Data

Any comment: -




B.6.3 Ex-ante calculation of emission reductions:

Data / Parameter: QWG,BL Data unit: GJ Description: Quantity of waste heat generated prior to the start of the project activity. Source of data used: Calculated on the basis of clinker production statistics and the data of

waste heat production per unit of product from manufacturer or external expert .

Value applied: 6.1×108 Justification of the choice of data or description of measurement methods and procedures actually applied :

The value applied is calculated on the basis of an independent test report of available hot air per ton of clinker, design specifications of the waste heat utilization equipment to take account of waste energy which cannot be utilized and the capacity and load factor of the clinker production line stated in the feasibility study. These data are the most accurate approximation of available waste energy in the base year.


Data / Parameter: QBL,production Data unit: Tons clinker / year Description: Plant or departmental. Production process which most logically relates to

waste gas generation in baseline. This is estimated based on 3 years average prior to start of project activity. (Tons/yr or m3/yr or other relevant unit).

Source of data used: Project Proponents Value applied: 1,000,000 Justification of the choice of data or description of measurement methods and procedures actually applied :

Based on audited production records, balance sheets etc. Data for three years prior to project implementation.


Data / Parameter: productionwgq ,

Data unit: (GJ/Ton or GJ/m3 or other relevant units) Description: Specific waste heat production per unit of product (departmental or plant

product which most logically relates to waste heat generation) generated as per manufacturer’s or external expert’s data.

Source of data used: Assessment of external expert Value applied: 610 Justification of the choice of data or description of measurement methods and procedures actually applied :

From manufacturer’s specification. Assessment of external expert.




Calculate the emission factor of grid:

According to the steps in B6.1，the emission factor of East China Power Grid is 0.90465tCO2e /MWh. Calculate the baseline emissions:

The baseline emissions for the year y shall be determined as follows:

yElecy BEBE ,=

yElecBE , is 44,722tCO2e, calculated in details as following.

y,Elecynetcapy,Elec EF*EG*fBE ，=

ynetEG , According to the Feasibility Study Report of the Project, the annual supply power to the cement plant is estimated to be 49,436 MWh.

yElecEF , is 0.90465 tCO2e/MWh

capf is 1, and will be updated ex-post on the basis of the actual conditions.

According to the numbers above, is 44,722 tCO2e. yBE

Calculate project activity emissions:

yELyAFy PEPEPE ,, +=

Where :

yAFPE , There is no supplementary fuel used in the proposed project, so this part emission is 0tCO2e.

yELPE , As the analysis in Part B6.1, it has deduced the auxiliary electricity consumption in the calculation of baseline emission, then there is no need to account this part emission repeatedly. So this part emission is 0tCO2e.

According to the numbers above, is 0 tCO2e。 yPE

Estimated emission reductions: As per formula provided in Section B.6.1, the emission reductions ERy by the project activity during a given year y is:

ERy=BEy-PEy =44,722-0 = 44,722tCO2e.

B.6.4 Summary of the ex-ante estimation of emission reductions:

Year Estimation of project activity

emission (tCO2e)

Estimation of baseline emission (tCO2e)

Estimation of Leakage emission (tCO2e)

Estimation of emission

reductions (tCO2e)

2009 0 44,722 0 44,722



2010 0 44,722 0 44,722 2011 0 44,722 0 44,722 2012 0 44,722 0 44,722 2013 0 44,722 0 44,722 2014 0 44,722 0 44,722 2015 0 44,722 0 44,722 2016 0 44,722 0 44,722 2017 0 44,722 0 44,722 2018 0 44,722 0 44,722 Total 0 447,220 0 447,220


CDM – Executive Board page 29 B.7 Application of a monitoring methodology and description of the monitoring plan: B.7.1 Data and parameters monitored: Data / Parameter: EGGEN,y Data unit: MWh/y Description: Total quantity of electricity generated by the project activity during

the year y

Source of data to be used: Directly measured Value of data 53,618

Description of measurement methods and procedures to be applied:

Directly measured. Recording frequency: Measured continuously, logged on an hourly basis and reported on a monthly basis. Data record: Electronic with paper back up. Data will be kept for the duration of the crediting period + 2 years. Proportion of the data to be monitored: 100%

QA/QC procedures to be applied:

EGGEN,y will be metered at project location with standard electronic metering instruments. Calibration will be carried out as described in section B.7.2.

Any comment: See section B.7.2 for details.

Data / Parameter: EGAUX,y Data unit: MWh/y Description: Auxiliary electricity consumption by the project activity during the

year y Source of data to be used: Directly measured Value of data 4,182


Directly measured. Recording frequency: Measured continuously, logged on an hourly basis and reported on a monthly basis. Data record: Electronic with paper back up. Data will be kept for the duration of the crediting period + 2 years. Proportion of the data to be monitored: 100%


EGAUX,y will be metered at project location with standard electronic metering instruments. Calibration will be carried out as described in section B.7.2.


Data / Parameter: EGnet,y Data unit: MWh/y Description: Net quantity of electricity supplied to the cement plant by the



project during the year y in MWh

Source of data to be used: Calculated

Value of data 49,436


Calculated from measured parameters as: EGnet,y = EGGEN,y –EGAUX,y. For details see section B.7.2. Frequency: Calculated monthly in the basis of hourly data (EGGEN,y and EGAUX,y) Data record: Electronic with paper back up. Data will be kept for the duration of the crediting period + 2 years. Proportion of the data to be monitored: 100%.


The plausibility of EGnet,y will be verified through the metering record of additional metering instruments which measure net power supplied to the grid more directly (see section B.7.2).


Data / Parameter: QWG,y Data unit: kJ Description: Quantity of waste heat used for electricity generation during year y.Source of data to be used: Calculated Value of data Only for ex-post calculation, not adopted in B.6.


Calculated using the equation productionwgyproductionywg qQQ ,,, ×= For details see section B.7.2. Frequency: Calculated monthly in the basis of hourly data for the main steam produced in the project. Data record: Electronic with paper back up. Data will be kept for the duration of the crediting period + 2 years.


Measuring equipment should be calibrated on regular equipment. During the time of calibration and maintenance, alternative equipment should be used for monitoring.

Any comment: --

B.7.2 Description of the monitoring plan:

The emission reduction generated by the Project Activity comes from the net amount of electricity supplied to the Project Entity’s production facilities by the WHR power plant. KWH meters are thus required according to the Methodology AMS-III.Q to monitor the electricity supply. In order to assure the correctness and integrity of the Project monitoring plan, the Project Entity will establish a system consisting of monitoring and verifying as well as CDM management and QC/QA, including:

1. Monitoring Data

According to the monitoring methodology of AMS-III.Q, the parameter to be monitored is the electricity supplied by the Project Activity, i.e. to monitor the electricity generated by WHR generator


CDM – Executive Board page 31 and the electricity consumed by WHR auxiliary facilities. The waste heat used in the proposed project should also be monitored, which is used to calculate the value of the fcap.

2. Operation and Management Organization for the Monitoring Plan A CDM management team will be formed to manage all the CDM related business in the Project Activity. The General Manager of the Project Entity will be in charged of the overall management of the monitoring plan. The configuration of the CDM team is described in figure B.7-1.

Project owner

The chief charge of CDM In full charge of issues related to CDM, particularly communication with DNA, EB and DOE.

The charge of M&C sector In charge of management and

organization the monitoring staffs.

FigureB.7-1 Configuration of the CDM Management Team

3. Installation of Monitoring Equipments

1) Electricity

The KWh meters used for measuring the electricity within the Project boundary are as following: 1. Electricity generated by WHR generator, MG monitors the same data.

2. Electricity consumed by the auxiliary equipments, for example, water pumps, a de-aerator, control

equipment, and so on, metered by MA1, MA2,…, MAx .

3. The terminal KWh meter, MWHR, for measuring of electricity supplied by WHR power station,

bidirection measurement function is required.

The electrical supply and distribution diagram of the Project Entity is shown in figure B.7-2.

2) Heat

The waste heat used by the Project can be calculated using the equation: productionwgyproductionywg qQQ ,,, ×=

Where:

yproductionQ , stands for the production by process that most logically relates to waste heat generation in the project year. This parameter can be metered by loadometer.

Financial sector Provide the necessary receipt as a cross check.

Operator in M&C sector

Manage the date and conduct error check

Info centre of M&C sector

In charge of calibration, QA/QC, data filing and record mana

Power plant Monitor the data related to CDM.

gement



productionwgq , is the amount of waste heat the industrial facility generates per unit of product generated by the process that generates waste heat and can referred to Part B6.2.

MA2 MA1

Auxiliary Equipment

Cement Plant

Power generation

On-site 5# transformer station

Project Boundary

MG MA3

MWHR

On-site 4# transformer station

MPSB1

MPSB2

Grid

Figure B.7-2 Configuration of cement WHR power distribution system

4. Monitoring Procedure

As all the KWH meters on site are intelligent ones, the operation data could be recorded and saved automatically, the data could be exchanged with upper monitoring computer and the data could be viewed and saved by the monitoring computer(s). The measurement principal is in charge of daily, weekly and monthly management of the monitoring data, and submits a monthly monitoring report to CDM management team. The requirement for data reporting is listed in table B7-1.

Table B7-1 Data reporting of the monitoring plan

Meter Responsible by Electronic record

Reporting Precision Documentation

MG Project Developer Daily monthly 0.5s Print or log MA1 Project Developer Daily monthly 0.5s Print or log MA2 Project Developer Daily monthly 0.5s Print or log MAx Project Developer Daily monthly 0.5s Print or log MWHR local PSB Daily monthly 0.5s Print or log W Project Entity Continuousl

y Annually -- Print or log


CDM – Executive Board page 33 The process for collecting the electricity meter data will be detailed in a procedure. A summary of this procedure is provided below.

EGGEN: Total electricity generated by the project activity

Meter MG records total electricity generation on a continuous basis. For details see Table B7-1.

EGAUX: Auxiliary electricity consumed by the project activity

Auxiliary electricity consumption consists of the electricity consumed by the auxiliary equipment metered by meters MAx. Therefore, EGAUX can be calculated according to the following formula:

EGAUX = Axx

M∑

EGy: Net quantity of electricity supplied to the manufacturing facility by the project

Net supply of electricity is calculated on a monthly basis as:

EGy= EGGEN - EGAUX

As a cross-check of the plausibility of EGy, this will be metered directly on the basis of meters M WHR1 and M WHR2. Meter M WHR1 is operated by the Power Supply Bureau while meter M WHR2 is operated by the project developer. The process of the cross-check is as following:

a) At the end of each month, the project developer and the grid company will take a meter reading and record this figure.

b) The grid company provides the project developer with the amount of electricity supplied to the grid. This will form the electricity supply figure on the purchase receipt;

c) After a cross check with the project developer’s own meter, the project developer records the electricity delivered to the grid;

5. QC/QA (Quality Control and Quality Assurance)

The precision of the measuring meter is the key factor of monitoring quality. There is a specific national regulation17 regarding KWH meter measurement, named as KWH metering device technical management regulation DL/T 448-2000, the precision requirements for KWH meter in this regulation for those generators with unit capacity under 100MW are: active power KWH meter is 1.0 grade, passive power KWH meter is 2.0 grade, PT is 0.5 grade and CT is 0.5s grade. The reliability of monitoring system is determined by precision and quality of measuring meters, all the meters shall be purchased from professional manufacturers with national metering certificates and QA qualified pass, the meter shall be calibrated annual by qualified metering instrument institutions, so as to assure the precision and steadiness of the metering results. The project developer will sign an agreement with the grid company to specify the QA procedure for measurement and calibration to ensure the measurement accuracy of the main meter. Periodic checks should be conducted according to the relevant national standard18. The project developer and the grid company will ensure informing the counterparty immediately to jointly appoint a qualified third party conduct appropriate action accordingly. In the mean time, readings from the meters that are owned and managed by the project developer will be adopted.

6. Procedures in case of Damage to monitoring Equipment/ Emergencies



Damages to monitoring equipment

In case monitoring equipment is damaged and no reliable readings can be recorded, The project entity will not claim emission reductions due to the project activity for the duration of these situations above.

Emergencies:

In case of emergencies, the project entity will not claim emission reduction due to the project activity for the duration of the emergency. The project entity will follow the following procedure for declaring the emergency period to be over:

1. The project entity will ensure that all requirements for monitoring of emission reductions have been re-established.

2. The monitoring officer and the head of operations of the cement production facility will both sign a statement declaring the emergency situation to have ended and normal operations to have resumed.

7. Monitoring Report

The dedicated CDM Manager of the project developer is responsible for checking the data (according to a formal procedure) and managing the collection, storage and archive of all data and records. A procedure will be developed to manage the CDM record keeping arrangements. All the data shall be kept until two years after the end of credit period.

Then an annual or a periodic operation result and emission reduction result shall be summarized into a monitoring report, including the data of electricity generated and consumed by the Project Activity and waste heat used by the proposed project as well as the records of calibration and maintenance of the meters, and a verification application shall be submitted to a DOE for CERs certification. B.8 Date of completion of the application of the baseline and monitoring methodology and the name of the responsible person(s)/entity(ies) The baseline and monitoring plan of the proposed project activity was completed by KOE

Environmental Consultancy, Inc. (Japan).on 01/04/2008. Name of person/entity determining

monitoring plan:

Mr. Allen Zhang, Consultant, KOE Environmental Consultancy, Inc. (Japan). [email protected]

Ms. Elizabeth Huang, Consultant, KOE Environmental Consultancy, Inc. (Japan). [email protected]

Add: 10-A1, Xihuan Plaza, No.6 Gao Liang Qiao Road, Xi Cheng District, and Beijing, China 100044.

TEL: +86-(0)10-6221 9066

KOE Environmental Consultancy, Inc. (Japan) is not one of the project participants.

mailto:[email protected]

mailto:[email protected]


CDM – Executive Board page 35 SECTION C. Duration of the project activity / crediting period C.1 Duration of the project activity: C.1.1. Starting date of the project activity:

01/09/2007, start date for project construction

C.1.2. Expected operational lifetime of the project activity:

The life time of the project is expected to be at least 20 years.

C.2 Choice of the crediting period and related information: C.2.1. Renewable crediting period C.2.1.1. Starting date of the first crediting period:

N/A

C.2.1.2. Length of the first crediting period:

N/A

C.2.2. Fixed crediting period: C.2.2.1. Starting date:

01/01/2009, or the data of registration, whichever is later

C.2.2.2. Length:

10 years


CDM – Executive Board page 36 SECTION D. Environmental impacts The Environmental Impact Registration Form was approved by Environmental Protection Administration of Fujian Province in 06/08/2007.

According to the Environmental and Ecological Impact Report, environmental impacts possibly caused by the Project and protect and guard measures adopted by the project owner are analyzed as follows:

Impact on Air Environment

Fugitive emission in the work place would be suppressed by occasional water sprinkling in and around the area. The plant and process area has been designed in such a way that the working environment would have dust loading less than permissible limits from the process equipment, thereby maintaining safe work place. Project Activity would have no negative impact on the ambient air quality of the project site.

The Project Entity envisages periodical monitoring and recording of the emission from the stack and at ground level within the premises to local Environment Protection Bureau (EPB). Electrostatic Precipitator（ESP）would collect the dust from the AQC exit gas after it passes through the WHR boilers and discharge the dust into the hopper where it is collected and utilized in the cement manufacturing process. The flue gas from ESP would be vented to the atmosphere through a stack with adequate ‘stack height’ as per Emission Standard of Air Pollutants for Cement Industry19

Impact on Water Environment

The waste water sources of the Project Activity including the waste water from the cooling tower, the chemistry water treatment workshop, the periodic flashing of the boilers, etc. The waste water from project Activity contains no toxin or poison materials, and is pre-treated and recycle-used for water sprinkling in the cement production process. Therefore, the impact of the project activity on water environment will be insignificant.

Impact on Noise Pollution

Major sources of noise come from steam turbine and boiler. The working noise level of the steam turbine is below 85 dB(A), the noise level 50m apart the workshop could be lower than 55 dB(A) due to the design of workshop. There is a silencer installed at the pipe of boiler steam release port, the noise could be lower than 60 dB(A) after the silencer, and in very short period only on case that the boiler start up and shutdown in abnormal condition. Also the whole facilities are far away from the resident areas.

As the Project is being built within the East of the original cement industrial facility, it has been estimated that these would not be in excess of the noise from operation of the cement production lines.

The Project Entity will undertake measures to ensure that workers on the site are adequately warned of the dangers of noise exposure and protected accordingly. Moreover, noise pollution from turbine, fans, centrifugal pumps, electric motors etc. shall be kept below the permissible level by proper design. The East control room, which has a high concentration of management and operation personnel, will be furnished with noise absorbing facilities to minimize noise pollutions. The working area will be distanced from the power generation equipment to reduce noise pollution, while greening will be reinforced to provide a natural noise silencer for the power station.

Impact on Solid waste


CDM – Executive Board page 37 A waste heat recovery based power station would not have any significant solid waste generated.

Impact on Thermal Pollution

In absence of the Project Activity there would be considerable amount of thermal pollution in the vicinity. The Project Activity utilizes the heat source of the waste flue-gas and thereby reduces thermal pollution. Working environment pollution due to thermal radiation would not be significant.

Through the analysis, the construction and the movement of project have small influence to the environment ecology system to restore stable of the appraised area, which can be accepted to the natural system of appraised area. D.1. If required by the host Party, documentation on the analysis of the environmental impacts of the project activity:

There are no significant environmental impacts and no environmental factor to constrain the construction and operation of the proposed project. The project has a positive effect on the local environment.

D.2. If environmental impacts are considered significant by the project participants or the host Party, please provide conclusions and all references to support documentation of an environmental impact assessment undertaken in accordance with the procedures as required by the host Party:

There are no significant environmental impacts and the EIA has been approved by the provincial Environmental Protection Bureau. There is no environmental factor to constrain the construction and operation of the proposed project.


CDM – Executive Board page 38 SECTION E. Stakeholders’ comments E.1. Brief description how comments by local stakeholders have been invited and compiled: In Oct. 2007, the project owner carried out a survey of local residents, builders and some work staffs of the Project. The survey was conducted through distributing and collecting responses to questionnaires. The survey was mainly included the project introduction, and investigation of their opinions on the Project activity as well as its impacts on the local economy and environment. At the same time, the local government of the Project location also carried out a certification as described next. E.2. Summary of the comments received:

Totally 30 questionnaires returned out of 29 respondents with 97% response rate. Of the 29 respondents, 3 persons are below 30 years old and 15 persons are 31~40 years old, and 11 persons are older than 40. In term of education level, 6 persons are below junior middle school, 14 persons are senior middle school, 8 persons are collegd & above level. The following is a summary of the key findings based on 29 returned questionnaires.

29(100%) persons of the respondents support the construction of the Project, 14(48%) persons of the respondents clearly know the construction of the Project, and no person objects to the construction of the Project.

·In term of positive impacts of the proposed project, the proposed project was considered to mitigate the environmental pollution (93%), increase employment opportunities (37%), increase income (31%) and decrease the electricity tariff (79%).

E.3. Report on how due account was taken of any comments received: As for the opinions brought forward by the public, the project owner will carefully adopt measures and make compensation for those whose lands were occupied. The project owner has signed the agreement with the local government to solve the opinions and suggestions raised by the public.



Annex 1 CONTACT INFORMATION ON PARTICIPANTS IN THE PROJECT ACTIVITY

Organization: Fujian Cement Inc.

Street/P.O.Box: NO.118 Yangqiao Road

Building: Fuzhou Jianfu Building

City: Fuzhou City

State/Region: Fujian Province

Postfix/ZIP: 350001

Country: P.R. China

Telephone: +86（0）591-88561880

FAX: +86（0）591-88561717

E-Mail: -

URL: -

Represented by: Hong Shihe

Title: Manager

Salutation: Mr.

Last Name: Hong

Middle Name: -

First Name: Shihe

Department: Fujian Cement Plant

Mobile: +86-13705071758

Direct FAX: -

Direct tel: -

Personal E-Mail: [email protected]



Annex 2

INFORMATION REGARDING PUBLIC FUNDING There is no public funding involved in this project activity.


Annex 3

BASELINE INFORMATION

The following tables summarize the numerical results from the equations listed in the “Tool to calculate the emission factor for an electricity system” for grid-connected electricity generation from renewable sources. The information listed in the tables includes data, data sources and the underlying computations.

Table A1 The fuel fired electricity generation of Eastern China Power Grid in 2003

Province The fuel fired electricity generation(MWh)

The rate of electricity self-consumption(%)

The fuel fired electricity connected to the grid(MWh)

Shanghai 69444000 5.14 65,874,578 Jiangsu 133277000 5.9 125,413,657 Zhejiang 83089000 5.31 78,676,974 Anhui 54156000 6.06 50,874,146 Fujian 42146000 5.07 40,009,198 The Totlal -- - 360,848,554

Data source: China Electric Power Yearbook 2004

PROJECT DESIGN DOCUMENT FORM (CDM-SSC-PDD) - Version 03 CDM – Executive Board page 42 TableA2 Calculation of simple OM emission factor of the Eastern China Power Grid in 2003

Fuels Units Shanghai Jiangsu Zhejiang Anhui Fujian Total Emission factor(tC/TJ)

OXID(%)

NCV(MJ/t, or MJ/km3)

Emission （tCO2e）

A B C D E F G=A+B+C+D+E+F H I J

K=G**H*I*J*44/12/ 10000（quality unit）/

K=G**H*I*J*44/12/ 1000（volume unit）

Raw coal ten thousand ton 2618 6417.74 3442.4 2669.67 1754 16901.81 25.8 100 20908 334300359.13 Washed coal ten thousand ton 0 25.8 100 26344 0.00

Other washed coal ten thousand ton 0 25.8 100 8363 0.00 Coke ten thousand ton 0 25.8 100 28435 0.00

Coke oven gas a hundred million M3 1.99 0.06 2.05 12.1 100 16726 152125.76 Other gas a hundred million M3 66.34 66.34 12.1 100 5227 1538454.90 Crude oil ten thousand ton 0 20 100 41816 0.00 Gasoline ten thousand ton 18.9 100 43070 0.00 Diesel ten thousand ton 1.26 14.71 13.99 29.96 20.2 100 42652 946463.80

Fuel oil ten thousand ton 95.49 0.76 174.48 18.89 289.62 21.1 100 41816 9369683.52 LPG ten thousand ton 0 17.2 100 50179 0.00

Refinery gas ten thousand ton 0.49 0.96 1.45 18.2 100 46055 44564.35 Natural gas a hundred million M3 0 15.3 100 38931 0.00

Other petroleum products ten thousand ton 18.91 5.3 15.04 39.25 20 100 38369 1104387.72

Other coking products ten thousand ton 0 25.8 100 28435 0.00

Other energy ten thousand tce 5.68 7.08 12.76 0 100 0 0.00 Total 368,593,903

The fuel fired electricity

connected to the grid(MWh)

385,310,464

EFsimple,OM,2002（tCO2e /MWh） 0.956615

Data source: China Energy Statistical Yearbook 2004



Province The fuel fired electricity generation（MWh）

The rate of electricity self-consumption（%）

The fuel fired electricity connected to the grid（MWh）

Shanghai 71127000 5.22 67,414,171 Jiangsu 163545000 5.93 153,846,782 Zhejiang 95255000 5.68 89,844,516 Anhui 59875000 6.03 56,264,538 Fujian 50490000 6.07 47,425,257 The Totlal 414,795,263

Data source: China Electric Power Yearbook 2005


Table A4 Calculation of simple OM emission factor of the Eastern China Power Grid in 2004


OXID(%)


Emission （tCO2e）

A B C D E F G=A+B+C+D+E+F H I

J

K=G**H*I*J*44/12/ 10000（quality unit）/ K=G**H*I*J*44/12/ 1000（volume unit）

Raw coal ten thousand ton 2779.6 7601.9 4008.9 2906.2 2183.7 19480.3 25.8 100 20908 385300230.33 Washed coal ten thousand ton 0 25.8 100 26344 0.00

Other washed coal ten thousand ton 5.46 4.63 10.09 25.8 100 8363 79826.01 Coke ten thousand ton 0 25.8 100 28435 0.00

Coke oven gas a hundred million M3 2.59 2.59 12.1 100 16726 192197.91 Other gas a hundred million M3 72.46 72.46 12.1 100 5227 1680380.49 Crude oil ten thousand ton 0 20 100 41816 0.00 Gasoline ten thousand ton 0 18.9 100 43070 0.00 Diesel ten thousand ton 2.69 27.17 6.23 36.09 20.2 100 42652 1140116.11


Refinery gas ten thousand ton 0.77 0.55 1.32 18.2 100 46055 40568.93 Natural gas a hundred million M3 0.14 0.14 15.3 100 38931 30576.41

Other petroleum products ten thousand ton 21.22 1.37 24.89 47.48 20 100 38369 1335957.42 Other coking products ten thousand ton 0 25.8 100 28435 0.00

Other energy ten thousand tce 6.43 15.48 21.91 0 100 0 0.00 Total 434,050,485

The fuel fired electricity connected to the grid

（MWh） 453,378,723

EFsimple,OM,2002（tCO2e /MWh） 0.957368

Data source: China Energy Statistical Yearbook 2005;



Province The fuel fired electricity generation（MWh）

The rate of electricity self-consumption（%）

The fuel fired electricity connected to the grid（MWh）

Shanghai 74606000 5.05 70,838,397 Jiangsu 211429000 5.96 198,827,832 Zhejiang 108110000 5.59 102,066,651 Anhui 62918000 5.9 59,205,838 Fujian 48600000 4.57 46,378,980 The Totlal 477,317,698

Data source: China Electric Power Yearbook 2006.


Table A6 Calculation of simple OM emission factor of the Eastern China Power Grid in 2005


OXID(%)


Emission (tCO2e)

A B C D E F

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

H I

J

K=G**H*I*J*44/12/ 10000（quality unit）/ K=G**H*I*J*44/12/ 1000（volume unit）

Raw coal ten thousand ton 2847.31 9888.06 4801.52 3082.9 2107.69 22727.48 25.8 100 20908 449526099.64 Washed coal ten thousand ton 0 25.8 100 26344 0.00

Other washed coal ten thousand ton 0 25.8 100 8363 0.00 Coke ten thousand ton 0.03 0.03 25.8 100 28435 806.99

Coke oven gas a hundred millioM3 1.68 1.38 1.71 4.77 12.1 100 16726 353970.67 Other gas a hundred millioM3 83.72 24.97 0.06 30 138.75 12.1 100 5227 3217675.86 Crude oil ten thousand ton 27.01 27.01 20 100 41816 828263.45 Gasoline ten thousand ton 0 18.9 100 43070 0.00 Diesel ten thousand ton 1.25 16 4.52 1.67 23.44 20.2 100 42652 740491.04


Refinery gas ten thousand ton 0.57 0.83 1.4 18.2 100 46055 43027.65 Natural gas a hundred millioM3 1.09 1.85 0.62 3.56 15.3 100 38931 777514.36

Other petroleum products

ten thousand ton 21 8.38 34.8 64.18 20 100 38369 1805849.77

Other coking products

ten thousand ton 0 25.8 100 28435 0.00

Other energy ten thousand ton 12.36 15.29 27.65 0 100 0 0.00 Total 661,062,081

The fuel fired electricity

connected to the grid(MWh)

714,971,698

EFsimple,OM,2002 (tCO2e /MWh) 0.924599

Data source: China Energy Statistical Yearbook 2006


Table A7 Calculation the weight of CO2 emissions from solid fuels, liquid fuels and gas fuels among the total emissions in Eastern China Power Grid

Shanghai Jiangsu Zhejiang Anhui Fujian Total NCV

(kJ/kg orm3)

Emission factor

OXID (%)

CO2 emissions (tCO2e)

K=G*H*I*J*44/12/100

Fuels Units A B C D E F G=A+B+C+D+E+F H I J K

Raw coal 104t 2847.31 9888.06 4801.52 3082.9 2107.69 22727.48 25.8 100 20908 449,526,100 Washed coal 104t 0 25.8 100 26344 0

Other washed coal 104t 0 25.8 100 8363 0 Coke 104t 0.03 0.03 25.8 100 28435 807

Total of solid fuels 449,526,907 Crude oil 104t 27.01 27.01 49.6 100 41816 828,263 Gasoline 104t 0 20 100 43070 0 Coal oil 0 0 100 43070 0 Diesel 104t 1.25 16 4.52 1.67 23.44 20.2 100 42652 740,491

Fuel oil 104t 59.39 13.22 153.22 7.45 233.28 21.1 100 41816 7,546,992 Other petroleum products 104t 21 8.38 34.8 64.18 20 100 38369 1,805,850

Total of liquid fuels 10,921,596 Natural gas 108m3 10.9 18.5 6.2 35.6 15.3 100 38931 777,514

Coke oven gas 108m3 16.8 13.8 17.1 47 29.2 100 16726 353,971 Other gas 108m3 837.2 249.7 0.6 300 7 12.1 100 5227 3,217,676

LPG 104t 1387.5 17.2 100 50179 0 Refinery gas 104t 0.57 0.83 1.4 15.7 100 46055 43,028

Total of gas fuels 4,392,189 Total of solid, liquid and

gas fuels 464,840,691 Data source: China Energy Statistical Yearbook 2006

Table A8 The emission factor of the most efficient commercial coal-fueled, oil-fueled and gas-fueled power plant


Variable Efficiency of electricity supply Emission factor of the fuels(tC/TJ) OXID Emission factor (tCO2e/MWh) A B C D=3.6/A/1000*B*C*44/12

Coal-fueled power plant EFCoal,Adv 35.82% 25.8 1 0.9508 Gas-fueled power plant EFGas,Adv 47.67% 15.3 1 0.4237 Oil-fueled power plant EFOil,Adv 47.67% 21.1 1 0.5843

TableA9 the weight of CO2 emission from solid, liquid and gas fuels among the total emissions and the thermal emission factor

λCoal λOil λGas EFThermal（tCO2e/MWh）

(λCoal* EFCoal,Adv+λOil* EFOil,Adv+λGas* EFGas,Adv)

96.71% 2.35% 0.94% 0.9372

Table A10 Calculation of BM emission factor of Eastern China Power Grid

2003 installed capacity 2004 installed capacity 2005 installed capacity Newly added installed capacity

between 2001 and 2004

Weight in newly added installed

capacity

A B C D=C-A

Fossil fueled（MW） 65036.5 79424.1 104076.6 24652.5 92.53% Hydro power（MW） 13602.5 14417.8 16069.4 1651.6 6.20% Nuclear power（MW） 2406 3056 3066 10 0.04% Wind power（MW） 51.7 72.6 401.3 328.7 1.23% Total（MW） 81096.5 96970.5 123613.3 26642.8 100% Share in 2004 installed capacity 65.60% 78.45% 100%

EFBM,y=0.9372*92.53%=0.8672 tCO2e/MWh.

Data source: China Electric Power Yearbook 2004, China Electric Power Yearbook 2005, China Electric Power Yearbook 2006


Annex 4

MONITORING INFORMATION No other information. - - - - -

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