Study and Application of the Mid-Long Term Energy early Warning System Based on SGM Model

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Abstract:

With the rapid economic development and improvement of the people’s living standard, the energy demand is increasing very fast in China. The national comprehensive energy early warning system is studied is this paper to adapt to the fundamental task of energy construction in China. On the energy demand forecast based on SGM model, the compreshensive energy warning system is built in this paper and put into the mid-long term enrgy early warning in China. For the BaU scenario, the comprehensive indices are dangerous both in 2020 and 2030; for the SD scenario, the comprehensive indices are attentive both in 2020 and 2030. So it can be concluded that the energy saving and sustainable development should be insisted to cope with the energy problems in China.

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Periodical:

Advanced Materials Research (Volumes 512-515)

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2519-2525

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May 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] China Statistical Bureau, China Statistical Yearbook 2007, China Statistical Press, 2008 (in Chinese).

Google Scholar

[2] IEA. Wold Energy Outlook 2007-Highlights on China and India [R]. OECD/IEA, 2008. http: /www. iea. org/Textbase/about/ copyright. asp: 175.

Google Scholar

[3] Wenying Chen. The costs of mitigating carbon emissions in China: findings from China MARKAL-MACRO modeling [J]. Energy Policy, 2005, 33(7): 885-896(in Chinese).

DOI: 10.1016/j.enpol.2003.10.012

Google Scholar

[4] Dadi Zhou, Yuan Guo, Yingyi Shi, et al. Developing Countries & Global Climate Change: Electric Power Options in China [R]. Virginia: Pwe Center on Global Climate Change, 2000(in Chinese).

Google Scholar

[5] Wenying Chen, Zongxin Wu, Jiankun He, Pengfei Gao, Shaofeng Xu. Carbon emission control strategies for China: A comparative study with partial and general equilibrium versions of the China MARKAL model [J]. Energy, 2007, 32(1): 59-72(in Chinese).

DOI: 10.1016/j.energy.2006.01.018

Google Scholar

[6] Jae Edmonds, Hugh Pitcher, Ron Sands, Second Generation Model 2004: An Overview, Pacific Northwest National Laboratory.

Google Scholar

[7] Ronald D. Sands. Dynamics of carbon abatement in the Second Generation Model [J]. Energy Economics, 2004, 26(4): 721-738.

DOI: 10.1016/j.eneco.2004.04.034

Google Scholar

[8] Jizhun Li, Kejun Jiang. Effect analysis and policy analysis of high petroleum price based on IPAC-SGM model [J]. China Price, 2007. 04: 29-31(in Chinese).

Google Scholar

[9] Yuzuru Matsuoka, Mikiko Kainuma, Tsuneyuki Morita. Scenario analysis of global warming using the Asian Pacific Integrated Model (AIM) [J]. Energy Policy, 1995, 23(4-5): 357-371.

DOI: 10.1016/0301-4215(95)90160-9

Google Scholar

[10] Ram M. Shrestha, Sunil Malla, Migara H. Liyanage. Scenario-based analyses of energy system development and its environmental implications in Thailand [J]. Energy Policy, 2007, 35(6): 3179-3193.

DOI: 10.1016/j.enpol.2006.11.007

Google Scholar

[11] Qiang Liu, Kejun Jiang, Xiulian Hu. Framework design of the energy security indices system.

Google Scholar

[12] Chunhao Chi, Yongliang Li. Primary study of the energy security effect factors and measurment.

Google Scholar

[13] Limao Wang. Influential factors and index system for appraising resources security [J]. Journal of Natural Resources , 2002, 17(4): 401-408(in Chinese).

Google Scholar

[14] Siqiang Wang, Study and application of the energy early warning system. PhD thesis, Beijing Jiaotong University, 2008(in Chinese).

Google Scholar

[15] International energy agency, World energy outlook, OECD/IEA, (2007).

Google Scholar