Improving renewable energy policy planning and decision-making through a hybrid MCDM method

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Improving renewable energy policy planning and decision-making through a hybrid MCDM method. / Alizadeh, Reza; Soltanisehat, Leili; Lund, Peter D.; Zamanisabzi, Hamed.

julkaisussa: Energy Policy, 01.01.2019.

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Alizadeh, Reza ; Soltanisehat, Leili ; Lund, Peter D. ; Zamanisabzi, Hamed. / Improving renewable energy policy planning and decision-making through a hybrid MCDM method. Julkaisussa: Energy Policy. 2019.

Bibtex - Lataa

@article{7b283132642945448e6d27e01e37ec2d,
title = "Improving renewable energy policy planning and decision-making through a hybrid MCDM method",
abstract = "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.",
keywords = "Analytic network process, BOCR, Multi-criteria decision making, Policy analysis, Renewable energy",
author = "Reza Alizadeh and Leili Soltanisehat and Lund, {Peter D.} and Hamed Zamanisabzi",
year = "2019",
month = "1",
day = "1",
doi = "10.1016/j.enpol.2019.111174",
language = "English",
journal = "Energy Policy",
issn = "0301-4215",

}

RIS - Lataa

TY - JOUR

T1 - Improving renewable energy policy planning and decision-making through a hybrid MCDM method

AU - Alizadeh, Reza

AU - Soltanisehat, Leili

AU - Lund, Peter D.

AU - Zamanisabzi, Hamed

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Analytic network process

KW - BOCR

KW - Multi-criteria decision making

KW - Policy analysis

KW - Renewable energy

UR - http://www.scopus.com/inward/record.url?scp=85076828852&partnerID=8YFLogxK

U2 - 10.1016/j.enpol.2019.111174

DO - 10.1016/j.enpol.2019.111174

M3 - Article

AN - SCOPUS:85076828852

JO - Energy Policy

JF - Energy Policy

SN - 0301-4215

M1 - 111174

ER -

ID: 39774623