Comprehensive Evaluation of Renewable Energy Planning Decision-Making Based on SE-DEA

Article Preview

Abstract:

In order to solve complexity of the comprehensive decision-making process about the renewable energy plan and according to the multi-criteria of renewable energy development, this paper establishes the co-benefits comprehensive evaluation index system which considers and weighs the technical, economic, social, environmental and other factors comprehensively. With SE-DEA method, this evaluation result can achieve the optimal choice of the renewable energy planning, makes objective analysis of the renewable energy planning decision-making of Hainan province, and provides a clear and specific guidance function for its further renewable energy development strategic direction.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 524-527)

Pages:

2944-2949

Citation:

Online since:

May 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] T.Kaya, C.Kahraman. Multi criteria decision making in energy planning using a modified fuzzy TOPSIS methodology .Expert Systems with Applications. 38(2010)6577-6585.

DOI: 10.1016/j.eswa.2010.11.081

Google Scholar

[2] Pehnt,M..Dynamic life cycle assessment (LCA) of renewableenergy technologies. Renew Energy.31(2009) 55-71.

DOI: 10.1016/j.renene.2005.03.002

Google Scholar

[3] Xiliang Zhang, Zhen Liu, etc. Renewable energy integrated planning methods, tools, case. Research Center of Tsinghua University,low-carbon energy research (in Chinese).2011.

Google Scholar

[4] Charnes A, Cooper WW, Lewin AY, Seiford LM. Data envelopment analysis: theory, methodology and application. Boston, Kluwer Academic(1994).

DOI: 10.1007/978-94-011-0637-5

Google Scholar

[5] Andersen P,Petersen N C.A procedure for ranking efficient untits in data envelopment analysis.Management Science.39(1993)1261-1264.

DOI: 10.1287/mnsc.39.10.1261

Google Scholar