以煤为主的能源消费地区的CO₂排放峰值研究：山东省德州市案例研究

Peak CO₂ emission in the region dominated by coal use and heavy chemical industries: a case study of Dezhou city in China

Abstract

This paper studies the pathways of peaking CO₂ emissions of Dezhou city in China, by employing a bottom-up sector analysis model and considering future economic growth, the adjustment of the industrial structure, and the trend of energy intensity. Two scenarios (a business-as-usual (BAU) scenario and a CO₂ mitigation scenario (CMS)) are set up. The results show that in the BAU scenario, the final energy consumption will peak at 25.93 million tons of coal equivalent (Mtce) (16% growth versus 2014) in 2030. In the CMS scenario, the final energy will peak in 2020 at 23.47 Mtce (9% lower versus peak in the BAU scenario). The total primary energy consumption will increase by 12% (BAU scenario) and decrease by 3% (CMS scenario) in 2030, respectively, compared to that in 2014. In the BAU scenario, CO₂ emission will peak in 2025 at 70 million tons of carbon dioxide (MtCO₂), and subsequently decrease gradually in 2030. In the CMS scenario, the peak has occurred in 2014, and 60 MtCO₂ will be emitted in 2030. Active policies including restructuring the economy, improving energy efficiency, capping coal consumption, and using more low-carbon /carbon free fuel are recommended in Dezhou city peaked CO₂ emission as early as possible.

Keywords

carbon dioxide emission / energy consumption / peak CO₂ emission / low-carbon transition / Dezhou city / China

参考文献

[1] NBSC (National Bureau of Statistics of China). China Statistical Yearbook 2016. Beijing: China Statistics Press, 2016

[2] NBSC (National Bureau of Statistics of China). China Energy Statistical Yearbook 2015. Beijing: China Statistics Press, 2015

[3] Esteban M, Zhang Q, Utama A. Estimation of the energy storage requirement of a future 100% renewable energy system in Japan. Energy Policy, 2012, 47: 22–31

[4] SCC (State Council of P.R. China). Enhanced Action on Climate Change — China’s Intended Nationally Determined Contributions. 2016–12–27, http://unfccc.int/focus/indc_portal/items/8766.php

[5] SPBS (Shandong Provincial Bureau of Statistics). Shandong Economic Statistical Yearbook. Beijing: China Statistics Press, 2016

[6] DMBS (Dezhou Municipal Bureau of Statistics). Dezhou Statistical Yearbook. Beijing: China Statistics Press, 2015

[7] DRC (Dezhou city development and reform commission). Development of New Energy and Renewable Energy in Dezhou City, Shandong Province during “13th Five-Year Plan (2016–2020)”. Dezhou, China, 2016

[8] DRC (Dezhou city development and reform commission). Dezhou City Economic and Social Development Program during “13th Five-Year”. Dezhou, China, 2016

[9] DRC (Dezhou city development and reform commission). Dezhou City Low-Carbon Development Planning during “12th Five-Year Plan”. Dezhou, China, 2013

[10] THU (Tsinghua University). A Study on Low-Carbon Cities in Dezhou City, Shandong Province. Beijing, China, 2017

[11] NDRC (National Development and Reform Commission). Revolutionary Innovation and Action Plan of the Energy Technologies. 2016–06, available at the website of gov.cn

[12] Chen W, Wu Z, He J, Gao P, Xu S. Carbon emission control strategies for China: a comparative study with partial and general equilibrium versions of the China MARKAL model. Energy, 2007, 32(1): 59–72

[13] THU (Tsinghua University). Research on China’s Peak Emissions of Greenhouse Gases. Beijing, China, 2016

[14] Jiang K, Hu X, Zhuang X, Liu Q, Zhu S. China energy demand and emission scenarios by 2050. Climate Change Research Review, 2008, 4(5): 296–302

[15] Zhou S, Kyle G P, Yu S, Clarke L E, Eom J, Luckow P, Chaturvedi V, Zhang X, Edmonds J A. Energy use and CO₂ emissions of China’s industrial sector from a global perspective. Energy Policy, 2013, 58: 284–294

[16] Lynn P, Khanna N, Zhou N, Fridley D, Hasanbeigi A, Lu H, Feng W. Reinventing fire: China – the role of energy efficiency in China’s roadmap to 2050. In: Proceedings of ECEEE Summer Study, Denver, 2017

[17] Khanna N, Fridley D, Hong L. China’s pilot low-carbon city initiative: a comparative assessment of national goals and local plans. Sustainable Cities and Society, 2014, 12: 110–121

[18] IEA (International Energy Agency). World Energy Outlook 2016. 2016, available at the website of worldenergyoutlook.org

[19] Pan X, Chen W, Clarke L E, Wang L N, Liu G. China’s energy system transformation towards the 2°C goal: implications of different effort-sharing principles. Energy Policy, 2013, 103: 116–126

[20] Yuan J, Xu Y, Zhang X, Hu Z, Xu M. China’s 2020 clean energy target: consistency, pathways and policy implications. Energy Policy, 2014, 65: 692–700

[21] Yuan J, Xu Y, Hu Z, Zhao C, Xiong M, Guo J. Peak energy consumption and CO₂ emissions in China. Energy Policy, 2014, 68: 508–523

[22] Zhang D, Karplus V J, Cassisa C, Zhang X. Emissions trading in China: progress and prospects. Energy Policy, 2014, 75: 9–16

[23] Li H, Wei Y, Mi Z. China’s carbon flow: 2008 – 2012. Energy Policy, 2015, 80: 45–53

[24] Hong X. The calculation of carbon emissions of Shandong province and the comparison with the national average. Energy Procedia, 2011, 5: 1514–1518

[25] Ren L, Wang W, Wang J, Liu R. Analysis of energy consumption and carbon emission during the urbanization of Shandong province, China. Journal of Cleaner Production, 2015, 103: 534–541

[26] Ren L, Wang W. Analysis of existing problems and carbon emission reduction in Shandong’s iron and steel industry. Energy Procedia, 2011, 5: 1636–1641

[27] Zhou R, Li S. A study on the development of low-carbon economy in Shandong province-based on empirical analysis on the influence factor of carbon emission. Energy Procedia, 2011, 5: 2152–2159

[28] Oberheitmann A. Development of a low carbon economy in Wuxi city. American Journal of Climate Change, 2012, 1(02): 64–103

[29] Yang Z, Ke Z. Analysis of energy consumption in Shandong province based on complete decomposition model. Energy Procedia, 2011, 5: 1647–1653

[30] Jiang Z, Dai Y, Luo X, Liu G, Wang H, Zheng H, Wang Z. Assessment of bioenergy development potential and its environmental impact for rural household energy consumption: a case study in Shandong, China. Renewable & Sustainable Energy Reviews, 2017, 67: 1153–1161

[31] Li W, Song G, Beresford M, Ma B. China’s transition to green energy systems: the economics of home solar water heaters and their popularization in Dezhou city. Energy Policy, 2011, 39(10): 5909–5919

[32] Connolly D, Lund H, Mathiesen B V, Leahy M. A review of computer tools for analysing the integration of renewable energy into various energy systems. Applied Energy, 2010, 87(4): 1059–1082

[33] HURCB (Housing urban and rural construction bureau). Urban System Planning of Shandong Province (2011–2030). 2015–11–27, available at the website of sdjs.gov.cn

[34] THU (Tsinghua University). A Comprehensive Evaluation Model Construction and Simulation of Climate Change and Key Technologies. Beijing, China, 2016

[35] THU (Tsinghua University). China’s Greenhouse Gas Emissions Roadmap in 2050. Beijing, China, 2016

[36] Eggleston H S, Buendia L, Miwa K, Ngara T, Tanabe K. 2006 IPCC Guidelines for National Greenhouse Gas Inventories. 2015–7, available at the website of ipcc-nggip.iges.or.jp

[37] BERC (Building Energy Research Center, Tsinghua University). 2014 Annual Report on China Building Energy Efficiency. Beijing, China, 2015

[38] Xu H, Wang M, Zhang X. Civil building energy consumption intensity analysis in Shandong province cities and towns. Building Energy Conservation, 2015, 10: 115–118 (in Chinese)

[39] Yang L, Li Z. Technology advance and the carbon dioxide emission in China – empirical research based on the rebound effect. Energy Policy, 2017, 101: 150–161

[40] MOT (The Ministry of Transport). 2014 Statistical Bulletin of Transportation Sector. 2015–04–30, available at the website of zizhan.mot.gov.cn (in Chinese)

[41] Ministry of Environmental Protection. Work plan for the prevention and control of air pollution in the Beijing-Tianjin-Hebei region and surrounding areas in 2017. Beijing, China, 2017

Acknowledgments

This work was co-sponsored by the National Natural Science Foundation of China (Grant Nos. 71690243, 71373142, 71774095, and 71690244) and by the Low Carbon Research Project of Dezhou city, Shandong province, China (No. 2013009).

版权

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