Development Scale Analysis for Coal Derived Synthetic Natural Gas (SNG) under China Energy Security

Abstract:

Natural gas plays an important role in industry, transportation and electric power. The first of all problems to solve is to ensure energy security while meeting the demand for gas. Through analyzing the connotation and the frame of energy security, it clears about the significant of the security of energy and gas supply in China, and sets up the benefits and losses model of natural gas, analyzes the loss of economic cost and the obtained economic benefits based on the process of SNG to protect natural gas security. By analyzing the case, the results show that there exists a most advantage point between the loss of economic cost and the obtained economic benefits in the process of natural gas security, China could develop SNG scale of 50 billion cubic meters production by the end of 2030, at this time, it will get the maximum net income of nearly 5 billion RMB. In addition, the results show that the two most important parameters which influence the profits and losses are energy consumption GDP elasticity coefficient and the nature gas price in the process of SNG guaranteeing natural gas security.

• Periodical: Advanced Materials Research (Volumes 347-353)
• Pages: 3830-3835
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.347-353.3830
• Online since: October 2011
• Authors: Dan Gao, Zheng Li, Dong Fang Jiang, Lin Wei Ma, Pei Liu, San Gao Hu
• Keywords: Benefits and Losses Model, Elasticity Coefficient, Energy Security, Nature Gas Price

References

[1] Ya-qun He, Hua Wei, Shu-zhen Wang. Assessment and Prediction Model of China's Energy Assurance Sustainability. Bioinformatics and Biomedical Engineering, 2008, ICBBE, pp.4336-4341.

[2] Zhao Yong. China's Petroleum Security from Perspective of Energy Supply and Demand. Information Management and Engineering(ICIME), 2010 The 2nd IEEE International Conference.

DOI: 10.1109/icime.2010.5477882

[3] Kenneth Lieberthal and Mikkal Herberg. China's Search for Energy Security: Implications for U.S. Policy. NBR ANALYSIS, Volume 17, Number 1, April (2006).

[4] Hongwei Ma, Yonghe Wu. Grey Predictive on Natural Gas Consumption and Production in China. Web Mining and Web-based Application, 2009, 91-94.

DOI: 10.1109/wmwa.2009.26

[5] BinBin Jiang, Chen Wenying, Yu Yuefeng. Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE, 1-8.

DOI: 10.1109/pes.2008.4596737

[6] David A Bell, Brian F Towler and Maohong Fan. Coal Gasification and its Applications, 2011, 373-391.

[7] A. Makaruk, M. Miltner, M. Harasek. Membrane biogas upgrading processes for the production of natural gas substitute[J]. Separation and Purification Technology 74 (2010) 83-92.

DOI: 10.1016/j.seppur.2010.05.010

[8] Y.X. He, L.F. Yang, H.Y. He, Electricity demand price elasticity in China based on computable general equilibrium model analusis. Energy, Volume 36, issue 2, February 2011, page1115-1123.

DOI: 10.1016/j.energy.2010.11.038

[9] Dongbing Huang, Wen Zhang. Cost Elasticity Analyzing Model of Construct Project. Industrial Engineering and Engineering Management, 2008, 714-717.

DOI: 10.1109/ieem.2008.4737962

[10] Hua Liu and Tong Sun. A Low-Cost Model-based Capacity Analysis in Production Environments. Networking, Sensing and Control, 2008, 731-735.

[11] Jia LI , Jian LI. The Cost-Benefit Analysis Model of Reverse Supply Chain. Industrial Engineering and Engineering Management, 2010, 1439-1442.

DOI: 10.1109/icieem.2010.5646020

[12] Paul Leiby and David Bowman. The Value of Expanded SPR Drawdown Capability. Oak Ridge National Laboratory. October 18, (2000).

[13] CHINA ENERGY STATISTICAL YEARBOOK 2010 [M]. China Statistics Press.

[14] Weidong Gu, Zhuoyong Yan. World Non-Grid-Connected Wind Power and Energy Conference(WNWEC), 2010, 1-4.

[15] Yuhong Li, Xiaoyin Wang. Industrial Engineering and Engineering Management, 2009, 798-802.

[16] LIU Cuilian, YU Lin. Study on the Evaluation of National Economy of Port Projects under the Green GDP Calculation System. Power and Energy Engineering Conference(APPEEC), 2010, 1-4.

DOI: 10.1109/appeec.2010.5449398

[17] Yajun Li, Fangfang Bai. Energy Policy 38 (2010) 896-901.