Balancing Stakeholders’ Perspectives for Sustainability: GIS-MCDM for Onshore Wind Energy Planning

Delmaria  Richards; Helmut Yabar; Takeshi Mizunoya; Randy Koon Koon; Gia Hong Tran; Yannick Esopere

doi:10.3390/su162210079

Balancing Stakeholders’ Perspectives for Sustainability: GIS-MCDM for Onshore Wind Energy Planning

Delmaria Richards, Helmut Yabar, Takeshi Mizunoya, Randy Koon Koon, Gia Hong Tran, Yannick Esopere

CEES School of Engineering

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

96 Downloads (Pure)

Abstract

This study supports Jamaica’s renewable energy implementation strategies by providing updated wind atlases and identifying suitable locations for future wind farms. Using a GIS-based Analytic Hierarchy Process with multi-criteria decision-making (AHP-MCDM), this research integrates stakeholders’ opinions, environmental considerations, and technical factors to assess land suitability for wind energy development. The analysis reveals that Jamaica has the potential to increase its wind power output by 8.99% compared to the current production of 99 MW. This expansion could significantly contribute to offsetting fossil fuel-based energy consumption and reducing carbon dioxide emissions. It identifies sites across several parishes, including Westmoreland, Clarendon, St. Mary, and St. James, as highly suitable for utility-scale wind farm development. By providing detailed spatial information and estimated energy outputs, this research offers valuable insights for energy planners, investors, and policymakers to create sustainable energy policies and advance Jamaica’s 50% renewable energy goal by 2030.

Original language	English
Article number	10079
Number of pages	41
Journal	Sustainability
Volume	16
Issue number	22
DOIs	https://doi.org/10.3390/su162210079
Publication status	Published - 19 Nov 2024

Bibliographical note

This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license (https://
creativecommons.org/licenses/by/4.0/).

Funding

The primary author thanks Helmut Yabar and Takeshi Mizunoya, who made the research possible. Also, thanks to the Ministry of Industry, Commerce, Agriculture and Fisheries; the Ministry of Science, Energy, and Technology in Jamaica; the Jamaican government\u2019s Meteorological Service Division, which provided data; the Habatake Scholarship; and the Sustainability Science, Technology, and Policy (SUSTEP) Program Office in the Department of Life and Environmental Sciences at the University of Tsukuba. This research was supported by the JST SPRING Fellowship, Support for Pioneering Research Initiated by the Next Generation, from the University of Tsukuba, under grant number JPMJSP2124-2021.

Funders	Funder number
Ministry of Industry, Commerce, Agriculture and Fisheries
Ministry of Science, Energy, and Technology in Jamaica
Jamaican Government
University of Tsukuba	JPMJSP2124-2021

Keywords

environmental evaluation
geographic information system (GIS)
multi-criteria decision-making (MCDM)
carbon dioxide emission reduction
spatial energy systems planning

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/su162210079

Koon2024VORFinal published version, 9.71 MBLicence: CC BY

Cite this

@article{4187963c91484a7fbc3e744462d8946e,

title = "Balancing Stakeholders{\textquoteright} Perspectives for Sustainability: GIS-MCDM for Onshore Wind Energy Planning",

abstract = "This study supports Jamaica{\textquoteright}s renewable energy implementation strategies by providing updated wind atlases and identifying suitable locations for future wind farms. Using a GIS-based Analytic Hierarchy Process with multi-criteria decision-making (AHP-MCDM), this research integrates stakeholders{\textquoteright} opinions, environmental considerations, and technical factors to assess land suitability for wind energy development. The analysis reveals that Jamaica has the potential to increase its wind power output by 8.99\% compared to the current production of 99 MW. This expansion could significantly contribute to offsetting fossil fuel-based energy consumption and reducing carbon dioxide emissions. It identifies sites across several parishes, including Westmoreland, Clarendon, St. Mary, and St. James, as highly suitable for utility-scale wind farm development. By providing detailed spatial information and estimated energy outputs, this research offers valuable insights for energy planners, investors, and policymakers to create sustainable energy policies and advance Jamaica{\textquoteright}s 50\% renewable energy goal by 2030.",

keywords = "environmental evaluation, geographic information system (GIS), multi-criteria decision-making (MCDM), carbon dioxide emission reduction, spatial energy systems planning",

author = "Delmaria Richards and Helmut Yabar and Takeshi Mizunoya and \{Koon Koon\}, Randy and \{Hong Tran\}, Gia and Yannick Esopere",

note = "This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/). ",

year = "2024",

month = nov,

day = "19",

doi = "10.3390/su162210079",

language = "English",

volume = "16",

journal = "Sustainability",

issn = "2071-1050",

publisher = "Multidisciplinary Digital Publishing Institute",

number = "22",

}

TY - JOUR

T1 - Balancing Stakeholders’ Perspectives for Sustainability: GIS-MCDM for Onshore Wind Energy Planning

AU - Richards, Delmaria

AU - Yabar, Helmut

AU - Mizunoya, Takeshi

AU - Koon Koon, Randy

AU - Hong Tran, Gia

AU - Esopere, Yannick

N1 - This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/).

PY - 2024/11/19

Y1 - 2024/11/19

N2 - This study supports Jamaica’s renewable energy implementation strategies by providing updated wind atlases and identifying suitable locations for future wind farms. Using a GIS-based Analytic Hierarchy Process with multi-criteria decision-making (AHP-MCDM), this research integrates stakeholders’ opinions, environmental considerations, and technical factors to assess land suitability for wind energy development. The analysis reveals that Jamaica has the potential to increase its wind power output by 8.99% compared to the current production of 99 MW. This expansion could significantly contribute to offsetting fossil fuel-based energy consumption and reducing carbon dioxide emissions. It identifies sites across several parishes, including Westmoreland, Clarendon, St. Mary, and St. James, as highly suitable for utility-scale wind farm development. By providing detailed spatial information and estimated energy outputs, this research offers valuable insights for energy planners, investors, and policymakers to create sustainable energy policies and advance Jamaica’s 50% renewable energy goal by 2030.

AB - This study supports Jamaica’s renewable energy implementation strategies by providing updated wind atlases and identifying suitable locations for future wind farms. Using a GIS-based Analytic Hierarchy Process with multi-criteria decision-making (AHP-MCDM), this research integrates stakeholders’ opinions, environmental considerations, and technical factors to assess land suitability for wind energy development. The analysis reveals that Jamaica has the potential to increase its wind power output by 8.99% compared to the current production of 99 MW. This expansion could significantly contribute to offsetting fossil fuel-based energy consumption and reducing carbon dioxide emissions. It identifies sites across several parishes, including Westmoreland, Clarendon, St. Mary, and St. James, as highly suitable for utility-scale wind farm development. By providing detailed spatial information and estimated energy outputs, this research offers valuable insights for energy planners, investors, and policymakers to create sustainable energy policies and advance Jamaica’s 50% renewable energy goal by 2030.

KW - environmental evaluation

KW - geographic information system (GIS)

KW - multi-criteria decision-making (MCDM)

KW - carbon dioxide emission reduction

KW - spatial energy systems planning

UR - https://www.scopus.com/pages/publications/85216448344

U2 - 10.3390/su162210079

DO - 10.3390/su162210079

M3 - Article

SN - 2071-1050

VL - 16

JO - Sustainability

JF - Sustainability

IS - 22

M1 - 10079

ER -

Balancing Stakeholders’ Perspectives for Sustainability: GIS-MCDM for Onshore Wind Energy Planning

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this