气候变化领域集成服务门户(CCPortal): Improving renewable energy policy planning and decision-making through a hybrid MCDM method

CCPortal

DOI	10.1016/j.enpol.2019.111174
	Improving renewable energy policy planning and decision-making through a hybrid MCDM method
	Alizadeh R.; Soltanisehat L.; Lund P.D.; Zamanisabzi H.
发表日期	2020
ISSN	0301-4215
卷号	137
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
英文关键词	Analytic network process; BOCR; Multi-criteria decision making; Policy analysis; Renewable energy
语种	英语
scopus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
来源期刊	Energy policy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/124882
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
推荐引用方式 GB/T 7714	Alizadeh R.,Soltanisehat L.,Lund P.D.,et al. Improving renewable energy policy planning and decision-making through a hybrid MCDM method[J],2020,137.
APA	Alizadeh R.,Soltanisehat L.,Lund P.D.,&Zamanisabzi H..(2020).Improving renewable energy policy planning and decision-making through a hybrid MCDM method.Energy policy,137.
MLA	Alizadeh R.,et al."Improving renewable energy policy planning and decision-making through a hybrid MCDM method".Energy policy 137(2020).