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AuthorShadmani, Alireza
AuthorNikoo, Mohammad Reza
AuthorGandomi, Amir H.
AuthorAl-Rawas, Ghazi
Available date2023-08-31T13:19:34Z
Publication Date2023
Publication Name2nd International Conference on Civil Infrastructure and Construction (CIC 2023)
CitationShadmani A., Nikoo M.R., Gandomi A.H. & Al-Rawas G., "A Multi-Criteria Decision-Making Approach for Selection of Wave Energy Converter Optimal Site", The 2nd International Conference on Civil Infrastructure and Construction (CIC 2023), Doha, Qatar, 5-8 February 2023, DOI: https://doi.org/10.29117/cic.2023.0182
ISSN2958-3128
URIhttp://dx.doi.org/10.29117/cic.2023.0182
URIhttp://hdl.handle.net/10576/47135
AbstractOcean wave energy is an essential source of renewable power for coastal communities. Choosing the optimal site for the wave energy converter (WEC) deployment depends on a number of criteria. The characteristics of the WEC must be taken into account in the prediction power supply, whereas the local sea state is connected to elements like wave condition (as a representation of construction budget) and energy output as well as the influence of the exploitable storage of wave energy and its trend. As a result, this research provides a multi-criteria decision-making (MCDM) strategy for considering several factors simultaneously to choose the best possible site. The suggested MCDM technique incorporates two primary factors, i.e., exploitable storage of wave energy and energy production, into a single metric that takes into account both WEC efficiency of a particular type, WEPTOS, and sea state to aid decision-makers in the development of a pilot project. The method was then used to analyse the waves at two locations that had been identified as promising sites for harvesting wave energy along the coast of Oman. To further assess a site's potential upcoming pilot project and select the most efficient WEC, we compared the MCDM results at the stations with certain WEC types. In conclusion, optimal sites for placement of the WEPTOS WEC along the coast of Oman were identified considering the highest annual energy production and exploitable energy storage. Through solving the MCDM technique, 17 sites were pinpointed, and only 6 points were picked up.
Languageen
PublisherQatar University Press
SubjectOcean wave energy
Wave energy converter
Optimal site
Multi-Criteria Decision-Making
TitleA Multi-Criteria Decision-Making Approach for Selection of Wave Energy Converter Optimal Site
TypeConference Paper
Pagination1469-1477
ESSN2958-3126
dc.accessType Open Access


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