Site selection for offshore renewable energy platforms: A multi-criteria decision-making approach
<p>This paper presents a novel methodology for site selection of Offshore Renewable Energy (ORE) systems, addressing the growing global energy demand and the need for sustainable solutions to climate change. Focusing on the wave energy, a relatively untapped renewable energy source, this resea...
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2024
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| الموضوعات: | |
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إضافة وسم
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| _version_ | 1864513546460594176 |
|---|---|
| author | Minghan Bao (20654131) |
| author2 | Ehsan Arzaghi (21393590) Mohammad Mahdi Abaei (21393587) Rouzbeh Abbassi (13573231) Vikram Garaniya (13573228) Nagi Abdussamie (18835801) Kevin Heasman (19228183) |
| author2_role | author author author author author author |
| author_facet | Minghan Bao (20654131) Ehsan Arzaghi (21393590) Mohammad Mahdi Abaei (21393587) Rouzbeh Abbassi (13573231) Vikram Garaniya (13573228) Nagi Abdussamie (18835801) Kevin Heasman (19228183) |
| author_role | author |
| dc.creator.none.fl_str_mv | Minghan Bao (20654131) Ehsan Arzaghi (21393590) Mohammad Mahdi Abaei (21393587) Rouzbeh Abbassi (13573231) Vikram Garaniya (13573228) Nagi Abdussamie (18835801) Kevin Heasman (19228183) |
| dc.date.none.fl_str_mv | 2024-06-04T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.renene.2024.120768 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Site_selection_for_offshore_renewable_energy_platforms_A_multi-criteria_decision-making_approach/29116013 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Earth sciences Oceanography Engineering Chemical engineering Environmental engineering Fluid mechanics and thermal engineering Maritime engineering Wave energy convertor Offshore renewable energy Bayesian network Site-selection Multiple-criteria decision-making |
| dc.title.none.fl_str_mv | Site selection for offshore renewable energy platforms: A multi-criteria decision-making approach |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>This paper presents a novel methodology for site selection of Offshore Renewable Energy (ORE) systems, addressing the growing global energy demand and the need for sustainable solutions to climate change. Focusing on the wave energy, a relatively untapped renewable energy source, this research focuses on optimizing the Wave Energy Converter (WEC) deployment amidst the uncertainties of the offshore environment. The study involves a comprehensive evaluation of potential sites, considering key factors like power generation capacity, mooring system fatigue life, and tether response to extreme loads. Initial wave data analysis for various locations is followed by numerical simulations of a point absorber WEC under different environmental conditions. A Bayesian Network (BN) model is then employed to integrate uncertainties into a multi-criteria decision-making (MCDM), enhancing the robustness of site selection. This approach facilitates the calculation of utility values for various sites, leading to the identification of the optimal decision alternative based on maximum expected utility. This work provides a detailed framework for renewable energy stakeholders, helping in the assessment of both profitability and survivability of WECs in chosen locations. It significantly contributes to minimizing economic and performance risks associated with ORE system installations, promoting efficient and sustainable energy production from ocean resources.</p><h2>Other Information</h2> <p> Published in: Renewable Energy<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.renene.2024.120768" target="_blank">https://dx.doi.org/10.1016/j.renene.2024.120768</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_e379d27fa90e2c105b46db4a0e1b5795 |
| identifier_str_mv | 10.1016/j.renene.2024.120768 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29116013 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Site selection for offshore renewable energy platforms: A multi-criteria decision-making approachMinghan Bao (20654131)Ehsan Arzaghi (21393590)Mohammad Mahdi Abaei (21393587)Rouzbeh Abbassi (13573231)Vikram Garaniya (13573228)Nagi Abdussamie (18835801)Kevin Heasman (19228183)Earth sciencesOceanographyEngineeringChemical engineeringEnvironmental engineeringFluid mechanics and thermal engineeringMaritime engineeringWave energy convertorOffshore renewable energyBayesian networkSite-selectionMultiple-criteria decision-making<p>This paper presents a novel methodology for site selection of Offshore Renewable Energy (ORE) systems, addressing the growing global energy demand and the need for sustainable solutions to climate change. Focusing on the wave energy, a relatively untapped renewable energy source, this research focuses on optimizing the Wave Energy Converter (WEC) deployment amidst the uncertainties of the offshore environment. The study involves a comprehensive evaluation of potential sites, considering key factors like power generation capacity, mooring system fatigue life, and tether response to extreme loads. Initial wave data analysis for various locations is followed by numerical simulations of a point absorber WEC under different environmental conditions. A Bayesian Network (BN) model is then employed to integrate uncertainties into a multi-criteria decision-making (MCDM), enhancing the robustness of site selection. This approach facilitates the calculation of utility values for various sites, leading to the identification of the optimal decision alternative based on maximum expected utility. This work provides a detailed framework for renewable energy stakeholders, helping in the assessment of both profitability and survivability of WECs in chosen locations. It significantly contributes to minimizing economic and performance risks associated with ORE system installations, promoting efficient and sustainable energy production from ocean resources.</p><h2>Other Information</h2> <p> Published in: Renewable Energy<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.renene.2024.120768" target="_blank">https://dx.doi.org/10.1016/j.renene.2024.120768</a></p>2024-06-04T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.renene.2024.120768https://figshare.com/articles/journal_contribution/Site_selection_for_offshore_renewable_energy_platforms_A_multi-criteria_decision-making_approach/29116013CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/291160132024-06-04T03:00:00Z |
| spellingShingle | Site selection for offshore renewable energy platforms: A multi-criteria decision-making approach Minghan Bao (20654131) Earth sciences Oceanography Engineering Chemical engineering Environmental engineering Fluid mechanics and thermal engineering Maritime engineering Wave energy convertor Offshore renewable energy Bayesian network Site-selection Multiple-criteria decision-making |
| status_str | publishedVersion |
| title | Site selection for offshore renewable energy platforms: A multi-criteria decision-making approach |
| title_full | Site selection for offshore renewable energy platforms: A multi-criteria decision-making approach |
| title_fullStr | Site selection for offshore renewable energy platforms: A multi-criteria decision-making approach |
| title_full_unstemmed | Site selection for offshore renewable energy platforms: A multi-criteria decision-making approach |
| title_short | Site selection for offshore renewable energy platforms: A multi-criteria decision-making approach |
| title_sort | Site selection for offshore renewable energy platforms: A multi-criteria decision-making approach |
| topic | Earth sciences Oceanography Engineering Chemical engineering Environmental engineering Fluid mechanics and thermal engineering Maritime engineering Wave energy convertor Offshore renewable energy Bayesian network Site-selection Multiple-criteria decision-making |