globalchange  > 气候变化与战略
DOI: 10.1016/j.enpol.2019.111174
论文题名:
Improving renewable energy policy planning and decision-making through a hybrid MCDM method
作者: Alizadeh R.; Soltanisehat L.; Lund P.D.; Zamanisabzi H.
刊名: Energy Policy
ISSN: 03014215
出版年: 2020
卷: 137
语种: 英语
中文关键词: Analytic network process ; BOCR ; Multi-criteria decision making ; Policy analysis ; Renewable energy
英文关键词: Decision making ; Decision theory ; Energy policy ; Proven reserves ; Solar energy ; Analytic network process ; BOCR ; Multi criteria decision making ; Policy analysis ; Renewable energies ; Fossil fuels ; alternative energy ; decision making ; energy planning ; energy policy ; multicriteria analysis ; policy analysis ; renewable resource ; solar power ; Iran
英文摘要: Shifting from fossil to clean energy sources is a major global challenge, but in particular for those countries with substantial fossil-fuel reserves and economies depending on fossil-fuel exports. Here we introduce an improved framework for renewable energy planning and decision-making to help such countries to more effectively harness their abundant renewable energy resources. We use Iran as a case for the analysis. The framework includes identifying and removing barriers that prevent the use of renewables. It is based on combining two models: Benefit, Opportunity, Cost, Risk (BOCR) and Analytic Network Process (ANP) models. In the analyses, the mutual weight of strategic criteria is employed such as technology, economy, energy vulnerability, security, global effects, and human wellbeing. Using the integrated model, we find that solar energy would be the preferential renewable energy source for Iran. Also, the role of infrastructures, policies, and administrative structures in renewable energy to facilitate their development was analyzed. The renewable energy policy-making framework presented is applicable to other countries as well. © 2019 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/166978
Appears in Collections:气候变化与战略

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作者单位: School of Industrial and Systems Engineering, University of OklahomaOK, United States; School of Science, Aalto University, PO Box 15100, Aalto, Espoo, FI-00076, Finland; Department of Civil Engineering, New Mexico State University, Las Cruces, NM, United States

Recommended Citation:
Alizadeh R.,Soltanisehat L.,Lund P.D.,et al. Improving renewable energy policy planning and decision-making through a hybrid MCDM method[J]. Energy Policy,2020-01-01,137
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