Loading…

Evaluation method of marine spaces for the planning and exploitation of offshore wind farms in isolated territories. A two-island case study

The interest in offshore wind energy is fundamentally based in most cases on the exploitation of the high levels of wind power found in offshore areas. The evaluation of marine spaces for planning and exploitation of this type of energy source is even more important in territories with isolated and/...

Full description

Saved in:
Bibliographic Details
Published in:Ocean & coastal management 2023-05, Vol.239, p.106603, Article 106603
Main Authors: Velázquez-Medina, Sergio, Santana-Sarmiento, Francisco
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c364t-118abcce0524455cc919d5b55b8ba1a434c9d6cd6a526ea23676543d381012ef3
cites cdi_FETCH-LOGICAL-c364t-118abcce0524455cc919d5b55b8ba1a434c9d6cd6a526ea23676543d381012ef3
container_end_page
container_issue
container_start_page 106603
container_title Ocean & coastal management
container_volume 239
creator Velázquez-Medina, Sergio
Santana-Sarmiento, Francisco
description The interest in offshore wind energy is fundamentally based in most cases on the exploitation of the high levels of wind power found in offshore areas. The evaluation of marine spaces for planning and exploitation of this type of energy source is even more important in territories with isolated and/or weak electrical systems and limited available territory. In the study developed in this paper, GIS-based techniques are applied to identify priority zones for the exploitation of offshore wind farms in the islands of Gran Canaria and Tenerife, the two largest of the eight islands that make up the Canary Archipelago (Spain). The zones identified are prioritized and differentiated by the most viable type of wind turbine substructure technology (bottom-fixed or floating), capacity factor (in MWh/MW), and specific cost (€/MWh). The results are expressed in map form, which can form part of future energy planning processes for the islands. The resulting identified offshore priority zones comprise 375.9 and 68.2 km2, with bottom-fixed:floating surface area ratios of 1:6 and 1:21, for Gran Canaria and Tenerife, respectively. The method developed in this paper is vital for detailed energy planning, an important aspect in the optimization process of offshore wind energy integration in isolated and/or weak electrical systems. •Application of GIS-MCDA technique to identify offshore wind zones.•Large-scale integration of offshore wind energy in isolated territories.•Differentiation of priority zones by most viable offshore substructure technology.•Differentiation of priority zones by offshore wind capacity factor (in MWh/MW).•Differentiation of priority zones by levelized cost of offshore wind energy.
doi_str_mv 10.1016/j.ocecoaman.2023.106603
format article
fullrecord <record><control><sourceid>elsevier_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1016_j_ocecoaman_2023_106603</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S096456912300128X</els_id><sourcerecordid>S096456912300128X</sourcerecordid><originalsourceid>FETCH-LOGICAL-c364t-118abcce0524455cc919d5b55b8ba1a434c9d6cd6a526ea23676543d381012ef3</originalsourceid><addsrcrecordid>eNqFkNtKAzEQhoMoWKvPYF5g12SzSXcvS_EEBW8UvAvTZNambJOSpB7ewYc2peKtVwMzfP_MfIRcc1ZzxtXNpg4GTYAt-LphjShdpZg4IRPezUQlm_b1lExYr9pKqp6fk4uUNoyxRqpuQr5v32HcQ3bB0y3mdbA0DHQL0XmkaQcGEx1CpHmNdDeC986_UfCW4uduDC4fyYKEYUjrEJF-uDIdIG4TdZ66FEbIaGnGGF0O0WGq6Zzmj1C5NB6SDKSyKu_t1yU5G2BMePVbp-Tl7vZ58VAtn-4fF_NlZYRqc8V5BytjkJXfWimN6Xlv5UrKVbcCDq1oTW-VsQpkoxAaoWZKtsKKrghrcBBTMjvmmhhSijjoXXTl5y_NmT5I1Rv9J1UfpOqj1ELOjySW894dRp2MQ2_Quogmaxvcvxk_PQ6HlA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Evaluation method of marine spaces for the planning and exploitation of offshore wind farms in isolated territories. A two-island case study</title><source>Elsevier:Jisc Collections:Elsevier Read and Publish Agreement 2022-2024:Freedom Collection (Reading list)</source><creator>Velázquez-Medina, Sergio ; Santana-Sarmiento, Francisco</creator><creatorcontrib>Velázquez-Medina, Sergio ; Santana-Sarmiento, Francisco</creatorcontrib><description>The interest in offshore wind energy is fundamentally based in most cases on the exploitation of the high levels of wind power found in offshore areas. The evaluation of marine spaces for planning and exploitation of this type of energy source is even more important in territories with isolated and/or weak electrical systems and limited available territory. In the study developed in this paper, GIS-based techniques are applied to identify priority zones for the exploitation of offshore wind farms in the islands of Gran Canaria and Tenerife, the two largest of the eight islands that make up the Canary Archipelago (Spain). The zones identified are prioritized and differentiated by the most viable type of wind turbine substructure technology (bottom-fixed or floating), capacity factor (in MWh/MW), and specific cost (€/MWh). The results are expressed in map form, which can form part of future energy planning processes for the islands. The resulting identified offshore priority zones comprise 375.9 and 68.2 km2, with bottom-fixed:floating surface area ratios of 1:6 and 1:21, for Gran Canaria and Tenerife, respectively. The method developed in this paper is vital for detailed energy planning, an important aspect in the optimization process of offshore wind energy integration in isolated and/or weak electrical systems. •Application of GIS-MCDA technique to identify offshore wind zones.•Large-scale integration of offshore wind energy in isolated territories.•Differentiation of priority zones by most viable offshore substructure technology.•Differentiation of priority zones by offshore wind capacity factor (in MWh/MW).•Differentiation of priority zones by levelized cost of offshore wind energy.</description><identifier>ISSN: 0964-5691</identifier><identifier>EISSN: 1873-524X</identifier><identifier>DOI: 10.1016/j.ocecoaman.2023.106603</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>GIS ; Levelized cost of marine wind energy ; Management of marine areas ; Offshore wind capacity factor ; Offshore wind farm planning</subject><ispartof>Ocean &amp; coastal management, 2023-05, Vol.239, p.106603, Article 106603</ispartof><rights>2023 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-118abcce0524455cc919d5b55b8ba1a434c9d6cd6a526ea23676543d381012ef3</citedby><cites>FETCH-LOGICAL-c364t-118abcce0524455cc919d5b55b8ba1a434c9d6cd6a526ea23676543d381012ef3</cites><orcidid>0000-0002-2769-1230 ; 0000-0002-0392-6605</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Velázquez-Medina, Sergio</creatorcontrib><creatorcontrib>Santana-Sarmiento, Francisco</creatorcontrib><title>Evaluation method of marine spaces for the planning and exploitation of offshore wind farms in isolated territories. A two-island case study</title><title>Ocean &amp; coastal management</title><description>The interest in offshore wind energy is fundamentally based in most cases on the exploitation of the high levels of wind power found in offshore areas. The evaluation of marine spaces for planning and exploitation of this type of energy source is even more important in territories with isolated and/or weak electrical systems and limited available territory. In the study developed in this paper, GIS-based techniques are applied to identify priority zones for the exploitation of offshore wind farms in the islands of Gran Canaria and Tenerife, the two largest of the eight islands that make up the Canary Archipelago (Spain). The zones identified are prioritized and differentiated by the most viable type of wind turbine substructure technology (bottom-fixed or floating), capacity factor (in MWh/MW), and specific cost (€/MWh). The results are expressed in map form, which can form part of future energy planning processes for the islands. The resulting identified offshore priority zones comprise 375.9 and 68.2 km2, with bottom-fixed:floating surface area ratios of 1:6 and 1:21, for Gran Canaria and Tenerife, respectively. The method developed in this paper is vital for detailed energy planning, an important aspect in the optimization process of offshore wind energy integration in isolated and/or weak electrical systems. •Application of GIS-MCDA technique to identify offshore wind zones.•Large-scale integration of offshore wind energy in isolated territories.•Differentiation of priority zones by most viable offshore substructure technology.•Differentiation of priority zones by offshore wind capacity factor (in MWh/MW).•Differentiation of priority zones by levelized cost of offshore wind energy.</description><subject>GIS</subject><subject>Levelized cost of marine wind energy</subject><subject>Management of marine areas</subject><subject>Offshore wind capacity factor</subject><subject>Offshore wind farm planning</subject><issn>0964-5691</issn><issn>1873-524X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkNtKAzEQhoMoWKvPYF5g12SzSXcvS_EEBW8UvAvTZNambJOSpB7ewYc2peKtVwMzfP_MfIRcc1ZzxtXNpg4GTYAt-LphjShdpZg4IRPezUQlm_b1lExYr9pKqp6fk4uUNoyxRqpuQr5v32HcQ3bB0y3mdbA0DHQL0XmkaQcGEx1CpHmNdDeC986_UfCW4uduDC4fyYKEYUjrEJF-uDIdIG4TdZ66FEbIaGnGGF0O0WGq6Zzmj1C5NB6SDKSyKu_t1yU5G2BMePVbp-Tl7vZ58VAtn-4fF_NlZYRqc8V5BytjkJXfWimN6Xlv5UrKVbcCDq1oTW-VsQpkoxAaoWZKtsKKrghrcBBTMjvmmhhSijjoXXTl5y_NmT5I1Rv9J1UfpOqj1ELOjySW894dRp2MQ2_Quogmaxvcvxk_PQ6HlA</recordid><startdate>20230515</startdate><enddate>20230515</enddate><creator>Velázquez-Medina, Sergio</creator><creator>Santana-Sarmiento, Francisco</creator><general>Elsevier Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-2769-1230</orcidid><orcidid>https://orcid.org/0000-0002-0392-6605</orcidid></search><sort><creationdate>20230515</creationdate><title>Evaluation method of marine spaces for the planning and exploitation of offshore wind farms in isolated territories. A two-island case study</title><author>Velázquez-Medina, Sergio ; Santana-Sarmiento, Francisco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-118abcce0524455cc919d5b55b8ba1a434c9d6cd6a526ea23676543d381012ef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>GIS</topic><topic>Levelized cost of marine wind energy</topic><topic>Management of marine areas</topic><topic>Offshore wind capacity factor</topic><topic>Offshore wind farm planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Velázquez-Medina, Sergio</creatorcontrib><creatorcontrib>Santana-Sarmiento, Francisco</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><jtitle>Ocean &amp; coastal management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Velázquez-Medina, Sergio</au><au>Santana-Sarmiento, Francisco</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation method of marine spaces for the planning and exploitation of offshore wind farms in isolated territories. A two-island case study</atitle><jtitle>Ocean &amp; coastal management</jtitle><date>2023-05-15</date><risdate>2023</risdate><volume>239</volume><spage>106603</spage><pages>106603-</pages><artnum>106603</artnum><issn>0964-5691</issn><eissn>1873-524X</eissn><abstract>The interest in offshore wind energy is fundamentally based in most cases on the exploitation of the high levels of wind power found in offshore areas. The evaluation of marine spaces for planning and exploitation of this type of energy source is even more important in territories with isolated and/or weak electrical systems and limited available territory. In the study developed in this paper, GIS-based techniques are applied to identify priority zones for the exploitation of offshore wind farms in the islands of Gran Canaria and Tenerife, the two largest of the eight islands that make up the Canary Archipelago (Spain). The zones identified are prioritized and differentiated by the most viable type of wind turbine substructure technology (bottom-fixed or floating), capacity factor (in MWh/MW), and specific cost (€/MWh). The results are expressed in map form, which can form part of future energy planning processes for the islands. The resulting identified offshore priority zones comprise 375.9 and 68.2 km2, with bottom-fixed:floating surface area ratios of 1:6 and 1:21, for Gran Canaria and Tenerife, respectively. The method developed in this paper is vital for detailed energy planning, an important aspect in the optimization process of offshore wind energy integration in isolated and/or weak electrical systems. •Application of GIS-MCDA technique to identify offshore wind zones.•Large-scale integration of offshore wind energy in isolated territories.•Differentiation of priority zones by most viable offshore substructure technology.•Differentiation of priority zones by offshore wind capacity factor (in MWh/MW).•Differentiation of priority zones by levelized cost of offshore wind energy.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.ocecoaman.2023.106603</doi><orcidid>https://orcid.org/0000-0002-2769-1230</orcidid><orcidid>https://orcid.org/0000-0002-0392-6605</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0964-5691
ispartof Ocean & coastal management, 2023-05, Vol.239, p.106603, Article 106603
issn 0964-5691
1873-524X
language eng
recordid cdi_crossref_primary_10_1016_j_ocecoaman_2023_106603
source Elsevier:Jisc Collections:Elsevier Read and Publish Agreement 2022-2024:Freedom Collection (Reading list)
subjects GIS
Levelized cost of marine wind energy
Management of marine areas
Offshore wind capacity factor
Offshore wind farm planning
title Evaluation method of marine spaces for the planning and exploitation of offshore wind farms in isolated territories. A two-island case study
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T01%3A39%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluation%20method%20of%20marine%20spaces%20for%20the%20planning%20and%20exploitation%20of%20offshore%20wind%20farms%20in%20isolated%20territories.%20A%20two-island%20case%20study&rft.jtitle=Ocean%20&%20coastal%20management&rft.au=Vel%C3%A1zquez-Medina,%20Sergio&rft.date=2023-05-15&rft.volume=239&rft.spage=106603&rft.pages=106603-&rft.artnum=106603&rft.issn=0964-5691&rft.eissn=1873-524X&rft_id=info:doi/10.1016/j.ocecoaman.2023.106603&rft_dat=%3Celsevier_cross%3ES096456912300128X%3C/elsevier_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c364t-118abcce0524455cc919d5b55b8ba1a434c9d6cd6a526ea23676543d381012ef3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true