TY - GEN
T1 - Spatial Location of Renewable Energy Plants
T2 - 2nd International Conference on Mechanical Engineering Design, ICMechD 2019
AU - Adedeji, Paul A.
AU - Akinlabi, Stephen
AU - Madushele, Nkosinathi
AU - Olatunji, Obafemi O.
N1 - Publisher Copyright:
© 2021, Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - Land suitability analysis for renewable energy (RE) plants is gradually becoming multidisciplinary. The integration of Geographical Information System (GIS) with Multi-Criteria Decision Making (MCDM) tools has proven effective in such studies. From the trend in the literature, both experts in GIS and non-experts use these tools. There exist several factors that determine the suitability of a site for an intended purpose. In this study, factors specific to the reliability and accuracy of the results of GIS-MCDM approach to siting RE plants are reviewed. The reliability of the results from this integrated tool is hinged on the accuracy of principal milestones in the analysis. Four of these were identified in this article: data integrity, sensitivity analysis, correct use of tools, criteria weight assignment. It was concluded that apart from the identified dots in achieving high reliability and accuracy of the suitability analysis, ground verification is highly essential as this helps to verify the reality of the seemingly virtual analysis.
AB - Land suitability analysis for renewable energy (RE) plants is gradually becoming multidisciplinary. The integration of Geographical Information System (GIS) with Multi-Criteria Decision Making (MCDM) tools has proven effective in such studies. From the trend in the literature, both experts in GIS and non-experts use these tools. There exist several factors that determine the suitability of a site for an intended purpose. In this study, factors specific to the reliability and accuracy of the results of GIS-MCDM approach to siting RE plants are reviewed. The reliability of the results from this integrated tool is hinged on the accuracy of principal milestones in the analysis. Four of these were identified in this article: data integrity, sensitivity analysis, correct use of tools, criteria weight assignment. It was concluded that apart from the identified dots in achieving high reliability and accuracy of the suitability analysis, ground verification is highly essential as this helps to verify the reality of the seemingly virtual analysis.
KW - GIS
KW - Land suitability analysis
KW - Multi-criteria decision making
KW - Renewable energy plant
UR - http://www.scopus.com/inward/record.url?scp=85090520351&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-4745-4_91
DO - 10.1007/978-981-15-4745-4_91
M3 - Conference contribution
AN - SCOPUS:85090520351
SN - 9789811547447
T3 - Lecture Notes in Mechanical Engineering
SP - 1055
EP - 1064
BT - Trends in Manufacturing and Engineering Management - Select Proceedings of ICMechD 2019
A2 - Vijayan, S.
A2 - Subramanian, Nachiappan
A2 - Sankaranarayanasamy, K.
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 25 April 2019 through 26 April 2019
ER -
