Method for Calculating CO 2 Emissions from the Power Sector at the Provincial Level in China

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1 ADVANCES IN CLIMATE CHANGE RESEARCH 5(2): 92-99, DOI: /SP.J GREENHOUSE GAS EMISSIONS Method for Calculating CO 2 Emissions from the Power Sector at the Provincial Level in China MA Cui-Mei 1,2, GE Quan-Sheng 1 1 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing , China 2 University of Chinese Academy of Sciences, Beijing , China Abstract Based on the detailed origins of each province s electricity consumption, a new method for calculating CO 2 emissions from the power sector at the provincial level in China is proposed. With this so-called consumer responsibility method, the emissions embodied in imported electricity are calculated with source-specific emission factors. Using the new method, we estimate CO 2 emissions in 2005 and Compared with those derived from the producer responsibility method, the power exporters emissions decreased sharply. The emissions from the power sector in Inner Mongolia, the largest power exporter of China, decreased by 109 Mt in The value is equivalent to those from Shaanxi s power production and Canada s power and heat production. In contrast, the importers emissions increased substantially. The emissions from the power sector in Hebei, the largest power importer of China, increased by 74 Mt. Emissions of Beijing, increased by 60 Mt (320%), in Thus, we suggest that the Chinese government should take the emissions, as calculated from the consumption perspective, into account when formulating and assessing local CO 2 emission reduction targets. Keywords: power sector; CO 2 emissions; consumer responsibility method; producer responsibility method Citation: Ma, C.-M., Ge, Q.-S., Method for calculating CO 2 emissions from the power sector at the provincial level in China. Adv. Clim. Change Res. 5(2), doi: /SP.J Introduction The power sector is the largest source of CO 2 emissions in China, accounting for approximately 38% of the total CO 2 emissions in 2005 (NDRC, 2012). In accordance with the relevant power development plan (CEC, 2010), China s power generating capacity will reach 1.4 billion kw in 2015 and 1.9 billion kw in 2020, and fossil fuel will remain the dominant energy source of power plants. Thus, the power sector will still be a major CO 2 emission source in future. China is a vast country with substantial regional variations in primary energy resource endowment (Zhao, 2004). There exists a spatial mismatch between the electricity demand and supply, therefore the trade in power among the provinces is considerable (Ma and Ge, 2014). Except Tibet, all other 30 provinces had net power imports or exports in Inner Mongolia was the largest net exporter, exporting 95.2 billion kw h accounting for 38% of its power generation. In contrast, the largest importing province of Guangdong, imported 82.3 billion kw h, accounting for 20% of its electricity consumption. Moreover, the proportion of the imported electricity in Beijing took up 68% of its total power consumption, which is the highest ratio among all provinces (Table 1). Thus, the calculating method for the CO 2 emissions of the power sector strongly affects a province s estimated emissions. Our study is helpful for estimating the emissions and evaluating emission reduction progress at the provincial Received: 27 January 2014 Corresponding author: MA Cui-Mei, macm.11b@igsnrr.ac.cn 1

2 MA Cui-Mei et al. / Method for Calculating CO 2 Emissions from the Power Sector at the Provincial Level Table 1 Amounts of net power imports and exports by region in 2010 Net exporter Net importer Region Exports Exports as percent of Region Imports Imports as percent of (10 9 kw h) generation (%) (10 9 kw h) consumption (%) Inner Mongolia Guangdong Shanxi Hebei Hubei Beijing Guizhou Jiangsu Anhui Shanghai Yunnan Liaoning Shaanxi Henan Sichuan Shandong Fujian Zhejiang Ningxia Hunan Guangxi Chongqing Jilin Tianjin Xinjiang Jiangxi Heilongjiang Gansu Qinghai Hainan Source: Table 3 9 and Table 4 23 of the China Energy Statistical Yearbook 2011 (NBSC, 2011) Note: There were no power trades between Tibet and other provinces in 2010, and the power data of Hong Kong, Macau and Taiwan were not available level. The consumer responsibility method (Ma et al., 2013) is recommended to estimate the CO 2 emissions of the power sector at sub-country level in various international protocols and standards (ICLEI, 2009; UNEP et al., 2010; WRI et al., 2012). Under this method, power consumers are responsible for CO 2 emissions, regardless of whether the power is produced inside or outside the province. However, the producer responsibility method by the IPCC (1996, 2006) was generally used in emissions study of China s power sector (Jin, 2011; An and Jiang, 2011; Zhou et al., 2011). Under this method, all CO 2 emissions from the power generation are accounted for the power producers. Thus power exporters, such as the provinces of Inner Mongolia and Shanxi, are responsible for the emissions embodied in their exported power. However, power importers such as Guangdong are not responsible for the emissions from imported electricity. Obviously, this is unfair for power producers. Furthermore, the producer responsibility method does not encourage consumers to reduce electricity consumption; therefore, this method is not efficient for emission reduction at the national level. Two studies dealt with the consumer s perspective (Tang, 2013; Zhou et al., 2012), but they only adopted a simplified assumption that the power s emission factors in East China or nationwide were identical. In fact, the power sources of the provinces are disparate. For example, both Shanghai and Zhejiang belong to the East China power grid, but Shanghai imports power mainly from Hubei and Sichuan, for which the proportion of hydropower is much higher than the national average; Zhejiang imports power mainly from Anhui which relies on thermal power. If the emission factors of the East China power grid or of the national average were applied, the emissions embodied in the imported power of Shanghai would be overestimated while those of Zhejiang would be underestimated. To better reflect the power sector s CO 2 emissions from each province, this study proposes a new method by tracking the detailed origins of each province s power consumption. Emissions from each province in 2005 and 2010 are calculated, and the results are compared with those calculated by the producer responsibility method. This study offers a different process for formulating CO 2 emission reduction policies. 2 Methodology and data sources 2.1 Methodology The power consumed in a province may have

3 94 ADVANCES IN CLIMATE CHANGE RESEARCH many sources, including own productions and imports from other regions. The province may also export power to other provinces. Similar to power consumption, emissions from the consumer perspective are equal to emissions from power production plus emissions embodied in the imported power and minus emissions embodied in the exported power. This can be determined as: C c = C g + C imp C exp, (1) where C c refers to CO 2 emissions from power consumption in one province, C g represents emissions from in-province power production, i.e., emissions calculated with the producer responsibility method, C imp is emissions embodied in imported electricity (Eq. 2), and C exp is emissions embodied in exported electricity (Eq. 3). C imp = (E imp,i F i ) + (E imp,j F j ) + i j E imp,k F k, (2) where E imp,i, E imp,j and E imp,k represent power imported from other provinces, other countries or regions, and the regional power grid which the province belongs to, respectively. F i refers to emissions per unit power production. F j and F k are emission factors of other countries or regions and the regional power grid (Northeast, North China, Northwest, Central China, East China or South China power grid), respectively. ( C exp = E exp,i + E exp,j + i j E exp,k ) F g, (3) where E exp,i, E exp,j and E exp,k represent power exported to other provinces, other countries or regions and the regional power grid respectively, F g is the emissions per unit power production in the province. In addition, the power imported from or exported to the regional power grid is calculated with Eq. 4 and Eq. 5: (( E imp,k = max E c E g E imp,i i ) E imp,j ), 0, (4) j (( E exp,k = min E c E g E imp,i i ) E imp,j ), 0. (5) 2.2 Data sources j The data of fuel consumption from thermal power generation, of the average net calorific values by fuel type, and of power generation and consumption by regions are taken from the China Energy Statistical Yearbook (NBSC, 2007, 2011). According to the released national greenhouse gas inventories of 1994 and 2005 (NCGCC and ERI, 2007; DCC, 2014), China s net calorific values by fuels, especially coal, are not totally equal to the default values in the China Energy Statistical Yearbook. Due to the fact that coals are not classified in anthracite, bituminous coal, lignite etc. in official statistics, they are not applicable for a detailed calculation of provincial CO 2 emissions using the calorific values in the national greenhouse gas inventories (NCGCC and ERI, 2007; DCC, 2014). Furthermore, this study mainly focuses on the methodology, thus applying the default net calorific values should be feasible. The data of power generation and consumption can be obtained from the China Electric Power Yearbook (EBCEPY, 2006, 2011) and the China Energy Statistical Yearbook (NBSC, 2007, 2011), which show small differences in comparison. As the fuel consumptions are only published in the China Energy Statistical Yearbook, for consistency purposes the data of power generation and consumption are also obtained from the China Energy Statistical Yearbook. The Power Industry Statistical Data Compilation (CEC, 2007, 2011) provides data on the interprovincial power exchanges, including power imports and exports. Carbon emission factors by fuel type and carbon oxidation factors are obtained from the Provincial Guidelines for Greenhouse Gas Inventories (Trial) (NDRC, 2011). CO 2 emissions per unit electricity production of other countries or regions are available by IEA (2013). CO 2 emission factors of regional power grids are obtained from Song et al. (2013). The data

4 MA Cui-Mei et al. / Method for Calculating CO2 Emissions from the Power Sector at the Provincial Level... of 2005 are lacking, so those of 2006 substitute them, as the regional grid emission factors generally remain relatively stable between adjacent years. 3 Results 3.1 Regional CO2 emissions per unit eletricity production CO2 emissions per unit electricity production at the provincial level in 2010 vary greatly (Fig. 1). An increase in the amounts per unit can be seen from Southwest China, through central, eastern and northwestern China, to Northeast China. Provinces with emission factors higher than 1 kg CO2 (kw h) 1 were Heilongjiang, Jilin, Liaoning, Shandong, Ningxia, 95 Hebei, and Inner Mongolia. In contrast, provinces with low emission factors were Qinghai, Sichuan, Yunnan, Hubei, Hunan, Fujian, and Guangxi. The results are closely correlated to the energy structure of power generation. Provinces of Heilongjiang, Hebei, etc., are dominated by thermal power generation, especially coal power. Moreover, the carbon content per unit of energy released from coal is the highest in all fuels. Therefore, CO2 emission factors of electricity production in these provinces were unsurprisingly much higher than in the other provinces. Qinghai, Sichuan, Hubei, etc., mostly rely on non-fossil fuels, especially hydropower. Generally hydro, wind, solar, and nuclear are thought to release zero emissions. Thus, CO2 emission factors of electricity production in these provinces were much lower. Figure 1 CO2 emission factors of electricity generation by regions in CO2 emissions from power sector by region The new consumer responsibility method and the producer responsibility method have been used to calculate each province s CO2 emissions from the power sector in 2010 (Table 2). The calculated results of the consumer responsibility method greatly differ from the results using the producer responsibility method. In general, the emissions derived from the consumer responsibility method are larger for the net electricity importing provinces. Nine provinces (Hebei, Beijing,

5 96 ADVANCES IN CLIMATE CHANGE RESEARCH Liaoning, Guangdong, Jiangsu, Shandong, Shanghai, Zhejiang, and Henan) show higher amounts in their CO 2 emissions of more than 10 Mt. The emissions of Beijing rose by 320%, ranking first among the provinces with higher emissions. In contrast, the emissions calculated by using the consumer responsibility method are lower for the net electricity exporting provinces. Here, the provinces of Inner Mongolia, Shanxi, Guizhou, Anhui, Shaanxi, Hubei, and Yunnan, show less amounts in CO 2 emissions of lower than 10 Mt compared to the producer responsibility method. The emissions of Inner Mongolia decreased by 109 Mt (38%), it was approximately equal to the annual CO 2 emissions from electricity production in Shaanxi or Canada (IEA, 2013). Though Qinghai is a net power exporter, it shows higher emissions with the consumer responsibility method. The reason is that the CO 2 emissions per unit electricity production of imported electricity from Gansu province is higher than its in-province electricity production (Fig. 1 and Table 2), leading to larger imported emissions than exported emissions. In summary, using the consumer Table 2 CO 2 emissions from the power sector by region in 2010 using the consumer responsibility method and the producer responsibility method Producer responsibility method Consumer responsibility method Emission factors Emission factors Difference Difference Region Emissions of power Emissions of power (Mt CO 2 ) (%) (Mt CO 2 ) production (Mt CO 2 ) consumption (g CO 2 (kw h) 1 ) (g CO 2 (kw h) 1 ) Hebei 211 1, , Beijing Liaoning 137 1, , Guangdong Jiangsu Shandong 306 1, , Shanghai Zhejiang Henan Tianjin Hunan Chongqing Gansu Qinghai Hainan Jiangxi Guangxi Xinjiang Jilin 61 1, , Heilongjiang 82 1, , Fujian Ningxia 60 1, , Sichuan Yunnan Hubei Shaanxi Anhui Guizhou Shanxi Inner Mongolia 285 1, , Notes: Difference in Mt CO 2 is defined as emissions from consumer responsibility method minus emissions from producer responsibility method; difference in % is difference in Mt CO 2 divided by emissions from producer responsibility method; totals may not sum exactly due to independent rounding

6 MA Cui-Mei et al. / Method for Calculating CO 2 Emissions from the Power Sector at the Provincial Level responsibility method, emissions from central and eastern China show higher amounts, while western China show lower amounts. This indicates a transfer of emissions from the central and eastern regions to the western regions due to the power trade when the producer responsibility method is applied. As the CO 2 emissions per unit electricity production among provinces vary greatly, for a given amount of imported power, the emission amounts are very different. As shown in Table 1, both Shanghai and Liaoning imported 42 billion kw h respectively in 2010, the imported emissions of Liaoning were Mt CO 2 while those of Shanghai were only Mt CO 2. This phenomenon can be explained as the imported power of Shanghai was mainly generated from hydropower plants of Hubei and Sichuan, whose CO 2 emissions per unit electricity production were low compared to the imported electricity power of Liaoning, which was mainly thermal-power from Jilin, with relatively high emission factors. Similarly, the imported emissions of Guangdong were less than those of Hebei and Shandong. Guangdong mainly imported hydropower from Yunnan, Hubei, and Hunan, while Hebei and Beijing imported power via the North China grid, which is dominated by thermal power generation. Compared with the study by Zhou et al. (2012), who assumed identical emission factors of the imported electricity, this study tracked the detailed source of the imported electricity, and used source-specific emission factors. Therefore, the results of this study more objectively reflect the diversity of imported power. By using two different methods, the changes in the CO 2 emissions from the power sector during the 11th Five-Year Plan ( ) are shown in Figure 2. Similar in both methods, 28 provinces emissions increased substantially. Inner Mongolia ranked the first with doubled emissions from 2005 to 2010, which is consistent with the assumption that CO 2 emissions increase as the economy develops. For any given province, emissions calculated by the consumer responsibility method were different from those with the producer responsibility method. For example, Beijing s emissions by the producer method decreased by 5.3% while those calculated with the consumer method increased by 38.1%. This demonstrates the achievements of emission reduction in Beijing from the production perspective during the 11th Five -Year Plan. By optimizing the electricity generation structure, by phasing out small coal-fired units, by setting up new gas burning and renewable energy power plants, and by increasing the import of power, Beijing s emissions decreased from the producer perspective. However, its power consumption increased continuously, and as the power increment is mainly based on the power import its emissions increased strongly from the consumer perspective. Another example of differing changes due to the use of different methods is Shaanxi, whose emissions increased by 102% based on the producer Figure 2 Difference of CO 2 emissions from the power sector by region between 2005 and 2010 using the consumer responsibility method and the producer responsibility method (the first 15 provinces from Shanxi to Qinghai export power, while those from Beijing to Gansu import power)

7 98 ADVANCES IN CLIMATE CHANGE RESEARCH method, while they only increased by 62% based on the consumer method from 2005 to This phenomenon can be explained by the fact that during the 11th Five-Year Plan, the power generation increased faster than power consumption, and the majority of power increment was exported to other regions. 4 Conclusions and suggestions The concept that production originates from consumption and consumption is the substantial source of CO 2 emissions was introduced by Ma et al. (2013). Based on this concept, this study analyzed the profile of CO 2 emissions from the power sector in China by using the consumer responsibility method. Our data show that the CO 2 emissions of ten regions, including Zhejiang, Jiangsu, Shanghai, Guangdong, Fujian, Shandong, Hebei, Tianjin, Beijing, and Liaoning, which account for 46% of the country s total emissions according to the method recommended by the IPCC, account for 55% based on the new consumer responsibility method. In contrast, the CO 2 emissions of seven regions, including Inner Mongolia, Shanxi, Shaanxi, Anhui, Hubei, Guizhou, and Yunnan, account for 29% with the IPCC method, but only for 20% based on the consumer method. It means that approximately 9% of the national emissions shift from the coal and water-rich less developed regions to economically more developed regions. Furthermore, compared with other studies (Tang, 2013; Zhou et al., 2012) in which a unique nationwide emission factor is supposed, our approach uses detailed sources of electricity transfer, and reflects the actual situation more objectively. One of the most important aims of analyzing the provincial CO 2 emission is to set references for emission reduction. The producer responsibility method would encourage emission reduction of the electricity production, including the optimization of the structure of the electricity production, the increase in the proportion of non-fossil energy power, and the improvement in the power generation efficiency among others. By acknowledging the consumer responsibility method, the CO 2 emission reduction focuses on the process of power consumption, such as the conservation of electricity, improvement of the energy efficiency, and other related mitigation measures. So the consumer responsibility method is objectively more valuable for the emission reduction policy making. Up to date, only the production responsibility method has been applied. Our results show that in order to achieve advances in CO 2 emission reduction when formulating CO 2 emission reduction targets, not only emissions from electricity production should be taken into account, but also the influence of power imports and exports, and the emissions from electricity consumption. As the production method is simple and easy to operate, with easy access to data, as well as providing data for other basic statistics, we suggest that this method should still be the main method for calculating regional power sector emissions. Although the consumer method is comprehensive and effective, the complex calculation process drives us to propose this method as an important supplement to the production method. When compiling a regional CO 2 emission inventory, the results calculated using the consumer method might be listed as additional information. When evaluating the regional emission reduction targets, the emissions calculated by the consumer method should take a certain weighting for effective enhancements in the policy making. Acknowledgements This study was sponsored by the China Clean Development Mechanism Fund (No ). References An, X.-H., Jiang, J., Status quo and some suggestions on control of CO 2 emissions from the thermal power industry of China. Energy Conservation and Environment Protection (in Chinese). 37(1), CEC (China Electricity Council), Power industry statistical data abstract 2006 (in Chinese). CEC (China Electricity Council), 2010 [ ]. The study report of the power sector s twelfth five year plan (in Chinese). Accessed cn/yaowenkuaidi/ /81451.html. CEC (China Electricity Council), Power industry statistical data compilation 2010 (in Chinese). DCC (Department of Climate Change, National De-

8 MA Cui-Mei et al. / Method for Calculating CO 2 Emissions from the Power Sector at the Provincial Level velopment and Reform Commission), The People s Republic of China National Greenhouse Gas Inventory 2005 (in Chinese). China Environmental Science Press, Beijing. EBCEPY (The Editorial Board of China Electric Power Yearbook ), China Electric Power Yearbook (in Chinese). China Electric Power Press, Beijing. EBCEPY (The Editorial Board of China Electric Power Yearbook ), China Electric Power Yearbook (in Chinese). China Electric Power Press, Beijing. ICLEI (Local Governments for Sustainability), 2009 [ ]. International local government GHG emissions analysis protocol (IEAP) version 1.0. Accessed upload/ carbonn/standards/ieap October2010 color.pdf. IEA (International Energy Agency), CO 2 Emissions from Fuel Combustion Highlights 2012 Edition. OECD/IEA Publication. IPCC, Workbook: Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories. National Greenhouse Gas Inventories Programme. Houghton, J.T. et al. (Eds.), IGES, Japan. IPCC, IPCC Guidelines for National Greenhouse Gas Inventories. National Greenhouse Gas Inventories Programme. Eggleston, H.S. et al. (Eds.), IGES, Japan. Jin, Y.-M., Status quo and trends of carbon emissions of China s provincial power industries. Energy Technology and Economics (in Chinese). 23(10), Ma, C.-M., Ge, Q.-S., Greenhouse gas emission factors for grid electricity for Chinese provinces. Resources Science (in Chinese). 36(5), Ma, C.-M., Xu, H.-Q., Su, M.-S., The research progress on greenhouse gas inventory methods. Progress in Geography (in Chinese). 32(3), NBSC (National Bureau of Statistics of China), China Energy Statistical Yearbook 2006 (in Chinese). China Statistics Press, Beijing. NBSC (National Bureau of Statistics of China), China Energy Statistical Yearbook 2011 (in Chinese). China Statistics Press, Beijing. NCGCC (National Coordination Group on Climate Change), ERI (Energy Research Institute, National Development and Reform Commission), The People s Republic of China National Greenhouse Gas Inventory (in Chinese). China Environmental Science Press, Beijing. NDRC (National Development and Reform Commission), Provincial guidelines for greenhouse gas inventories (trial) (in Chinese). NDRC (National Development and Reform Commission), 2012[ ]. Second national communication on climate change of the People s Republic of China (in Chinese). Accessed ccchina.gov.cn/archiver/ccchinacn/upfile/files/ Default/ pdf. Song, R.-P., Zhu, J.-J., Hou, P., et al., Getting every ton of emissions right: An analysis of emission factors for purchased electricity in China (in Chinese). World Resources Institute, Working Paper. Accessed chuban/zhunquehesuanmei%e4%b8%80dunpaifang %EF%BC%9Aqiyewaigoudianliwenshiqitipaifangyin zijiexi. Tang, Q.-H., CO 2 emissions characteristics of electricity and reduction pathway analysis in Shanghai. Environmental Science & Technology (in Chinese). 36(1), UNEP (United Nations Environment Programme), World UN-HABITAT, WB (World Bank), 2010[ ]. International standard for determining greenhouse gas emissions for cities (version 2.1). Accessed environment/pdfs/internationalstd-ghg.pdf. WRI (World Resources Institute), C40, ICLEI (Local Governments for Sustainability), 2012[ ]. Global protocol for community-scale greenhouse gas emissions (GPC) pilot version 1.0. Accessed Pilot Version 1.0 May pdf. Zhao, Z.-L., Development and prospect of power system in China. Electric Power (in Chinese). 37(1), 1-6. Zhou, S.-D., Zhao, M.-Z., Wang, C.-X., et al., Calculation of carbon dioxide emissions considering secondary energy deployment among provinces in China. China Population Resources and Environment (in Chinese). 22(6), Zhou, Y., Cai, B.-F., Liu, L.-C., et al., Study on spatial distribution of CO 2 emissions from thermal power industry of China. Thermal Power Generation (in Chinese). 40(10), 1-7.

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