2050年中国能源消费的情景预测

沈镭, 刘立涛, 王礼茂, 陈枫楠, 张超, 沈明, 钟帅

自然资源学报 ›› 2015, Vol. 30 ›› Issue (3) : 361-373.

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自然资源学报 ›› 2015, Vol. 30 ›› Issue (3) : 361-373. DOI: 10.11849/zrzyxb.2015.03.001
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2050年中国能源消费的情景预测

  • 沈镭1, 刘立涛1, 王礼茂1, 陈枫楠1,2, 张超1,2, 沈明1,2, 钟帅1,3
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2050 Energy Consumption Projection for China

  • SHEN Lei1, LIU Li-tao1, WANG Li-mao1, CHEN Feng-nan1,2, ZHANG Chao1,2, SHEN Ming1,2, ZHONG Shuai1,3
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摘要

与全球气候变化紧密相关的能源消费问题是当今世界各国关注的热点,特别是中国能源消费规模、能源消费峰值和消费结构等更是关注的重点.论文在简要评述中国能源消费峰值、能源消费预测方法和模型的基础上,系统回顾了国内外对中国能源消费预测研究成果,侧重于人口和经济等驱动中国能源消费的两大主要因素,参考主要发达国家经济发展过程中人均能源消耗及人均累计能耗变化规律,对中国未来能源消费趋势进行了定量预测分析.结果表明:① 中国人均能耗、总量和人均累计消费量均有较大的发展潜力.2050年中国人均能耗大致在4.75~9.31 tce,上限也只相当于美国人均能耗峰值的76%;中国能源消费总量还将持续增长,2050 年的能源消费总量在61.91×108~121.33×108tce;1870—2050 年,中国人均累计能耗最佳分布区间为207~294 tce,只相当于1870—2012 年美国人均累计能耗的46%、德国的56%、英国的57%.② 文献梳理表明,当前预测中国能源消费峰值的各种研究成果大多认为在62×108~79×108tce,而峰值年份则出现在2035—2045 年,论文认为除美国、英国和德国情景将有峰值出现外,其他情景尚不可能出现峰值;③ 法国情景下中国能源消费“零”增长将于2040 年左右出现;日本、韩国以及基准情景预测显示,2035 年以后中国能源消费将进入到2%左右的低速增长期.上述研究结果表明,中国未来能源消费预测采用法国、日本、韩国情景较为合理,2035 年以后,中国能源消费将进入低速增长期.当前,中国人均收入不高,人均能耗尤其人均累计能耗处于较低水平,过早乐观承诺能源消费峰值,易使气候变化谈判陷入被动;从中国国情出发,需给中国社会经济发展留有能源消耗空间;促进能源资源的节约集约使用,积极倡导节能型生产生活方式,是中国社会经济可持续发展、保障能源安全、积极应对全球气候变化的现实需要.

Abstract

As fossil fuels consumption and global warming are closely associated with each other, energy consumption has attracted great attention around the world. Especially when China overtook the U.S. as the world's biggest energy consumer in 2010, the time and value for China's peak energy consumption become the focus of world attention. Based on a brief review of existing peak energy consumption methods and models, population and economic development selected as two major driving factors, and using the variation rule of per capita energy consumption during economic development in developed countries as reference, the future energy consumption for China was projected up to 2050. The results showed that: 1) China has great potential to increase per capita energy consumption and the cumulative per capita energy consumption. The probable per capita energy consumption range for China is 4.75-9.31 tce/cap in 2050, the upper limit equivalent to only 76% of the United States' per capita consumption peaks. And the probable energy consumption range for China is 6.19-12.13 billion tce in 2050. While the probable range of cumulative per capita energy consumption for China for 1870-2050 is 207-294 tce,the upper limit equivalent to only 46% of the United States' (56% of Germany and 57% of United Kingdom) cumulative per capita consumption during 1870-2012. 2) Currently, most studies showed that the probable energy consumption peak range for China will be in 2035-2040, with the peak value range of 6.2-7.9 billion tce. This paper argues that in addition to the United States, United Kingdom and Germany Scenarios, the other national scenarios will be unlikely peaked. 3) Under France Scenario the “zero” growth of China's energy consumption will occur around 2040, while Japan, South Korea and Baseline scenarios project that a slow growth period of China's energy consumption will occur after 2035, with growth rate about 2%. To sum up, France, Japan and South Korea scenarios are more reasonable and China's energy consumption is likely to enter a slow growth period since 2035. At present, the level of GDP per capita in China is not high, and the level of per capita energy consumption especially for cumulative per capita energy consumption is low, so it would put ourselves in a passive position in climate change negotiations if we are too optimistic about China's peak energy consumption time and value. Based on national conditions of China, we need to leave more energy consumption space for China's social economic development. Last but not least, actively promoting energy-efficient production and adopting an energy-efficient lifestyle will be the key for China's sustainable socio-economic development, energy security and respondence to global climate change.

关键词

能源消费 / 预测 / 人均累计能耗 / 中国 / 情景 / 2050 年 / 人均能耗

Key words

scenario / China / projection / per capita energy consumption / 2050 / energy consumption / the cumulative per capita energy consumption

引用本文

导出引用
沈镭, 刘立涛, 王礼茂, 陈枫楠, 张超, 沈明, 钟帅. 2050年中国能源消费的情景预测[J]. 自然资源学报, 2015, 30(3): 361-373 https://doi.org/10.11849/zrzyxb.2015.03.001
SHEN Lei, LIU Li-tao, WANG Li-mao, CHEN Feng-nan, ZHANG Chao, SHEN Ming, ZHONG Shuai. 2050 Energy Consumption Projection for China[J]. JOURNAL OF NATURAL RESOURCES, 2015, 30(3): 361-373 https://doi.org/10.11849/zrzyxb.2015.03.001
中图分类号: F426.2   

参考文献

[1] 沈镭, 成升魁. 论国家资源安全及其保障战略[J]. 自然资源学报, 2002, 17(4): 393-400. [SHEN Lei, CHENG Shengkui.On the national security and its guaranteeing strategies. Journal of Natural Resources, 2002, 17(4): 393-400.]
[2] 刘立涛, 沈镭. 中国能源分区情景分析及可持续发展功能定位[J]. 自然资源学报, 2011, 26(9): 1484-1495. [LIU Litao,SHEN Lei. Scenario analysis of energy zoning and function orientation sustainable development of China. Journalof Natural Resources, 2011, 26(9): 1484-1495.]
[3] 刘立涛, 沈镭. 中国区域能源效率时空演进格局及其影响因素分析[J]. 自然资源学报, 2010, 25(12): 2142-2153.[LIU Li-tao, SHEN Lei. Spatio-temporal evolution pattern and influential factor of regional total factor energy efficiencyin China. Journal of Natural Resources, 2010, 25(12): 2142-2153.]
[4] 王尔德, 危炜. 中国能源消费峰值最快2025 年到来[N]. 21 世纪经济报道, 2013-08-13. [WANG Er-de, WEI Wei.The earliest possible time that China's energy consumption will reach a peak is in 2025 year. 21st Century Business Herald,2013-08-13.]
[5] 傅玥雯.“十三五”及中长期能源消费增速将进一步放缓[N]. 中国能源报, 2014-04-28(01). [FU Yue-wen. Thegrowth of energy demand in China will be slow further in its 13th Five-Year Plan (2016-2020) and Mid-to Long-Termdevelopment Plan. China Energy News, 2014-04-28(01).]
[6] 于汶加, 王安建, 王高尚. 中国能源消费“零增长”何时到来[J]. 地球学报, 2010, 31(5): 635-644. [YU Wen-jia, WANGAn-jian, WANG Gao-shang. A prediction on the time of realizing zero growth of energy consumption in China. ActaGeoscientica Sinica, 2010, 31(5): 635-644.]
[7] 李迅, 曹广忠, 徐文珍, 等. 中国低碳生态城市发展战略[J]. 城市发展研究, 2010, 17(1): 32-40. [LI Xun, CAO Guangzhong,XUWen-zhen, et al. China's low-carbon eco-city development strategy. Urban Studies, 2010, 17(1): 32-40.]
[8] 朱永彬, 王铮, 庞丽, 等. 基于经济模拟的中国能源消费与碳排放高峰预测[J]. 地理学报, 2009, 64(8): 935-944.[ZHU Yong-bin, WANG Zheng, PANG Li, et al. Simulation on China's economy and prediction on energy consumptionand carbon emission under optimal growth path. Acta Geographica Sinica, 2009, 64(8): 935-944.]
[9] 中国社会科学院数量经济与技术经济研究所课题组. 国家能源发展战略研究[R]. 中国社会科学院, 2011. [Instituteof Quantitative & Technical Economics, Chinese Academy of Social Sciences Research Group. National energy developmentstrategy research. Chinese Academy of Social Sciences, 2011.]
[10] 樊杰, 李平星. 基于城市化的中国能源消费前景分析及对碳排放的相关思考[J]. 地球科学进展, 2011, 26(1): 57-65.[FAN Jie, LI Ping-xing. Analysis on the future energy consumption and preliminary discussion on carbon emission ofChina from the perspective urbanization. Advances in Earth Science, 2011, 26(1): 57-65.]
[11] 陆大道, 樊杰. 2050: 中国的区域发展[M]. 北京: 科学出版社, 2009. [LU Da-dao, FAN Jie. 2050: Regional Developmentin China. Beijing: Science Press, 2009.]
[12] Daniel B, Sophie C, Jorge T C. International climate efforts beyond 2012: A survey of approaches [R]. Prepared for thePew Center on Global Climate Change Arlington, VA, 2004.
[13] 潘家华. 人文发展分析的概念构架与经验数据——以对碳排放空间的需要为例[J]. 中国社会科学, 2002(6): 15-25.[PAN Jia-hua. The concept framework and empirical data about human development analysis—Take the needs for carbonemission space as an example. China Social Sciences in China, 2006(6): 15-25.]
[14] 丁仲礼, 段晓男, 葛全胜, 等. 2050 年大气CO2 浓度控制: 各国排放权计算[J]. 中国科学D 辑, 2009, 39(8): 1009-1027. [DING Zhong-li, DUAN Xiao-nan, GE Quan-sheng , et al. Control of atmospheric CO2 concentration by 2050:An allocation on the emission rights of different countries. Science in China Series D, 2009, 39(8): 1009-1027.]
[15] 潘家华, 朱仙丽. 人文发展的基本需要分析及其在国际气候制度设计中的应用[J]. 中国人口·资源与环境, 2006, 16(6): 23-30. [PAN Jia-hua, ZHU Xian-li. An analysis of basic needs for human development and its applications in the designof global climate regime. Chinese Journal of Population, Resources and Environment, 2006, 16(6): 23-30.]
[16] 王安建, 王高尚, 陈其慎, 等. 能源与国家经济发展[M]. 北京: 地质出版社, 2008: 48-79. [WANG An-jian, WANGGao-shang, CHEN Qi-shen, et al. Energy and National Economic Development. Beijing: Geological Publishing House,2008: 48-79.]
[17] 王安建, 王高尚, 陈其慎, 等. 矿产资源需求理论与模型预测[J]. 地球学报, 2010, 31(2): 137-147. [WANG An-jian,WANG Gao-shang, CHEN Qi-shen, et al. The mineral resources demand theory and the prediction model. Acta GeoscienticaSinica, 2010, 31(2): 137-147.]
[18] 李晓明, 王安建, 于汶加. 基于能源需求理论的全球CO2 排放趋势分析[J]. 地球学报, 2010, 31(5): 741-748. [LI Xiaoming,WANG An-jian, YU Wen-jia. A trend analysis of carbon dioxide emissions based on the energy demand. ActaGeoscientica Sinica, 2010, 31(5): 741-748.]
[19] 于汶加, 王安建. 发达国家人均能源消费“零增长”现象解析[J]. 商业经济研究, 2009(12): 114-115. [YU Wen-jia,WANG An-jian. Analysis on zero growth of energy consumption per capita in developed countries. Business and EconomicResearch, 2009(12): 114-115.]
[20] 岳超, 王少鹏, 朱江玲, 等. 2050 年中国碳排放量的情景预测——碳排放与社会发展IV [J]. 北京大学学报: 自然科学版, 2010, 46(4): 517-524. [YUE Chao, WANG Shao-peng, ZHU Jiang-ling, et al. 2050 carbon emissions projectionfor China: Carbon emission and social development, IV. Acta Scientiarum Naturalium Universitatis Pekinensis, 2010, 46(4): 517-524.]
[21] 林伯强. 中国能源需求的经济计量分析[J]. 统计研究, 2001(10): 34-39. [LIN Bo-qiang. Econometric analysis of China's energy demand. Statistical Research, 2001(10): 34-39.]
[22] Azadeh A, Ghaderi S F, Sohrabkhani G. Annual electricity consumption forecasting by neural network in high energyconsuming industrial sectors [J]. Energy Conversion and Management, 2008, 49(8): 2272-2278.
[23] Lee Y-S, Tong L-I. Forecasting energy consumption using a grey model improved by incorporating genetic programming[J]. Energy Conversion and Management, 2011, 52(1): 147-152.
[24] 梁巧梅, 魏一鸣, 范英, 等. 中国能源需求和能源强度预测的情景分析模型及其应用[J]. 管理学报, 2004, 1(1): 62-67. [LIANG Qiao-mei, WEI Yi-ming, FAN Ying, et al. A scenario analysis of China's energy requirement and energy intensity:Model and its applications. Chinese Journal of Management, 2004, 1(1): 62-67.]
[25] Fishbone L G, Abilock H. Markal, a linear-programming model for energy systems analysis: Technical description ofthe bnl version [J]. International Journal of Energy Research, 1981, 5(4): 353-375.
[26] Seebregts A J, Goldstein G A, Smekens K. Energy/environmental modeling with the MARKAL family of models [M]//Operations Research Proceedings 2001. Springer, 2001: 75-82.
[27] Manne A S, Wene C-O. MARKAL-MACRO: A linked model for energy-economy analysis [R]. Brookhaven NationalLab. , Upton, NY, United States. Funding Organization: USDOE,Washington D C, United States, 1992.
[28] Remme U, Goldstein G A, Schellmann U, et al. MESAP/TIMES—Advanced decision support for energy and environmentalplanning [M]//Operations Research Proceedings 2001. Springer, 2001: 59-66.
[29] McCollum D, Yang C, Yeh S, et al. Deep greenhouse gas reduction scenarios for California—Strategic implicationsfrom the CA-TIMES energy-economic systems model [J]. Energy Strategy Reviews, 2012, 1(1): 19-32.
[30] Wang Y J, Gu A L, Zhang A L. Recent development of energy supply and demand in China, and energy sector prospectsthrough 2030 [J]. Energy Policy, 2011, 39: 6745-6759.
[31] 国家发展和改革委员会能源研究所课题组. 中国2050 年低碳发展之路——能源需求暨碳排放情景分析[M]. 北京: 科学出版社, 2009. [Energy Research Institute National Development and Reform Commission Research Group.China's Low Carbon Development Pathways by 2050: Scenario Analysis of Energy Demand and Carbon Emissions.Beijing: Science Press, 2009.]
[32] Suganthi L, Samuel AA. Energy models for demand forecasting—A review [J]. Renewable and Sustainable Energy Review,2012, 16: 1223-1240.
[33] Bhattacharyya S C, Timilsina G R. Modelling energy demand of developing countries: Are the specific features adequatelycaptured? [J] Energy Policy, 2010, 38(4): 1979-1990.
[34] 姜克隽, 胡秀莲, 刘强, 等. 中国2050 年低碳发展情景研究[M]//2050 中国能源和碳排放研究课题组. 2050 中国能源和碳排放报告. 北京: 科学出版社, 2009: 753-820. [JIANG Ke-jun, HU Xiu-lian, LIU Qiang, et al. China's low carbondevelopment pathways by 2050: Scenario analysis of energy demand and carbon emissions//Study Group of ChinaEnergy and Carbon Emissions. 2050 China Energy and CO2 Emissions Report. Beijing: Science Press, 2009: 753-820.]
[35] U.S. Energy Information Administration (EIA). International energy outlook 2013 [EB/OL]. http://www.eia.gov/forecasts/ieo/pdf/0484(2013). pdf, 2014-09-02.
[36] British Petro (BP). Energy outlook to 2035 [EB/OL]. http://www.bp.com/en/global/corporate/about-bp/energy-economics/energy-outlook. html, 2014-09-02.
[37] 姜克隽, 胡秀莲, 庄幸, 等. 中国2050 年低碳情景和低碳发展之路[J]. 中外能源, 2009, 14(6): 1-6. [JIANG Ke-jun,HU Xiu-lian, ZHUANG Xing, et al. China's low-carbon scenarios and roadmap for 2050. Sino-global Energy, 2009, 14(6): 1-6.]
[38] 戴彦德, 朱跃中, 白泉. 中国2050 年低碳发展之路——能源需求暨碳排放情景分析[J]. 经济研究参考, 2010(26): 2-22. [DAI Yan-de, ZHU Yue-zhong, BAI Quan. China's low carbon development pathways by 2050: Scenario analysis ofenergy demand and carbon emissions. Review of Economic Research, 2010(26): 2-22.]
[39] Yuan Jiahai, Xu Zheng, Zhao Changhong, et al. Peak energy consumption and CO2 emissions in China [J]. Energy Policy,2014, 68: 508-523.
[40] 武红, 谷树忠, 关兴良, 等. 中国化石能源消费碳排放与经济增长关系研究[J]. 自然资源学报, 2013, 28(3): 381-390.[WU Hong, GU Shu-zhong, GUAN Xing-liang, et al. Analysis on relationship between carbon emissions from fossil energyconsumption and economic growth in China. Journal of Natural Resources, 2013, 28(3): 381-390.]

基金

国家自然科学基金面上项目“气候变化条件下中国能源供给安全格局及其资源环境效应”(41271547),“基于资源账户的中国石油资源流动过程及资源环境效应研究”(41271546),“中国城镇化进程中水泥生产的能源消耗与减排路径优化”(41401644),“基于物质流分析的中国石油资源流动过程及碳效应研究”(41101116).

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