Spatial planning to estimate the offshore wind energy potential in coastal regions and islands. Practical case: The Canary Islands
The Canary Islands, as many islands and coastal regions, are characterized by no conventional energy sources (but renewable resources, mainly wind and solar), by a high population density and land scarcity. Taking into account this context, it is crucial to determine the offshore wind energy potenti...
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Veröffentlicht in: | Energy (Oxford) 2018-01, Vol.143, p.91-103 |
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description | The Canary Islands, as many islands and coastal regions, are characterized by no conventional energy sources (but renewable resources, mainly wind and solar), by a high population density and land scarcity. Taking into account this context, it is crucial to determine the offshore wind energy potential as a first step for the energy planning. For this purpose, a methodology adapted to islands' and coastal regions' requirements has been developed. The methodology is based on GIS (Geographical Information Systems), and takes into account technical, economic and spatial constrain. Wind turbines (bottom-fixed or floating according to the bathymetry) are placed within the resulting suitable areas, quantifying also the energy production and its cost. The economic analysis includes the calculation of the LCOE (Levelized Cost Of Energy), including integration costs, and the resulting resource cost curves. The methodology has been applied to a practical case, the Canary Islands. Results show that the electricity produced by offshore wind farms exceeds the yearly electricity demand. Moreover, the offshore wind energy cost is lower than the current electricity cost. The analysis provides further useful indicators such as percentage of suitable areas, surface covered by wind turbines, array density of turbines and marginal offshore wind energy cost.
•Novel methodology to determine off-shore wind potential for small regions and islands based on spatial planning and GIS.•Inclusion of techno-economic constrain.•Economical assessment to determine the marginal generation cost of wind energy.•Practical case: application to the Canary Islands. |
doi_str_mv | 10.1016/j.energy.2017.10.084 |
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•Novel methodology to determine off-shore wind potential for small regions and islands based on spatial planning and GIS.•Inclusion of techno-economic constrain.•Economical assessment to determine the marginal generation cost of wind energy.•Practical case: application to the Canary Islands.</description><identifier>ISSN: 0360-5442</identifier><identifier>EISSN: 1873-6785</identifier><identifier>DOI: 10.1016/j.energy.2017.10.084</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Bathymetry ; Canary Islands ; Coastal zone ; Coasts ; Cost analysis ; Economic analysis ; Electric power demand ; Electricity ; Electricity consumption ; Electricity pricing ; Energy costs ; Energy sources ; Geographic information systems ; GIS ; Islands ; Methodology ; Offshore ; Offshore energy sources ; Offshore operations ; Offshore wind energy ; Population density ; Potential ; Renewable resources ; Satellite navigation systems ; Sustainable yield ; Turbines ; Wind farms ; Wind power ; Wind power generation ; Wind turbines</subject><ispartof>Energy (Oxford), 2018-01, Vol.143, p.91-103</ispartof><rights>2017</rights><rights>Copyright Elsevier BV Jan 15, 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-79414632e8f433cf1d238b45d338ae1d1baa7ddd8d6715a61499f50a588db633</citedby><cites>FETCH-LOGICAL-c438t-79414632e8f433cf1d238b45d338ae1d1baa7ddd8d6715a61499f50a588db633</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.energy.2017.10.084$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Schallenberg-Rodríguez, Julieta</creatorcontrib><creatorcontrib>García Montesdeoca, Nuria</creatorcontrib><title>Spatial planning to estimate the offshore wind energy potential in coastal regions and islands. Practical case: The Canary Islands</title><title>Energy (Oxford)</title><description>The Canary Islands, as many islands and coastal regions, are characterized by no conventional energy sources (but renewable resources, mainly wind and solar), by a high population density and land scarcity. Taking into account this context, it is crucial to determine the offshore wind energy potential as a first step for the energy planning. For this purpose, a methodology adapted to islands' and coastal regions' requirements has been developed. The methodology is based on GIS (Geographical Information Systems), and takes into account technical, economic and spatial constrain. Wind turbines (bottom-fixed or floating according to the bathymetry) are placed within the resulting suitable areas, quantifying also the energy production and its cost. The economic analysis includes the calculation of the LCOE (Levelized Cost Of Energy), including integration costs, and the resulting resource cost curves. The methodology has been applied to a practical case, the Canary Islands. Results show that the electricity produced by offshore wind farms exceeds the yearly electricity demand. Moreover, the offshore wind energy cost is lower than the current electricity cost. The analysis provides further useful indicators such as percentage of suitable areas, surface covered by wind turbines, array density of turbines and marginal offshore wind energy cost.
•Novel methodology to determine off-shore wind potential for small regions and islands based on spatial planning and GIS.•Inclusion of techno-economic constrain.•Economical assessment to determine the marginal generation cost of wind energy.•Practical case: application to the Canary Islands.</description><subject>Bathymetry</subject><subject>Canary Islands</subject><subject>Coastal zone</subject><subject>Coasts</subject><subject>Cost analysis</subject><subject>Economic analysis</subject><subject>Electric power demand</subject><subject>Electricity</subject><subject>Electricity consumption</subject><subject>Electricity pricing</subject><subject>Energy costs</subject><subject>Energy sources</subject><subject>Geographic information systems</subject><subject>GIS</subject><subject>Islands</subject><subject>Methodology</subject><subject>Offshore</subject><subject>Offshore energy sources</subject><subject>Offshore operations</subject><subject>Offshore wind energy</subject><subject>Population density</subject><subject>Potential</subject><subject>Renewable resources</subject><subject>Satellite navigation systems</subject><subject>Sustainable yield</subject><subject>Turbines</subject><subject>Wind farms</subject><subject>Wind power</subject><subject>Wind power generation</subject><subject>Wind turbines</subject><issn>0360-5442</issn><issn>1873-6785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LAzEQxYMoWKvfwEPA867JJrub9SBI8U9BULD3kCazbUpN1iRVevWTm7qePc0w894b5ofQJSUlJbS53pTgIKz2ZUVom0clEfwITahoWdG0oj5GE8IaUtScV6foLMYNIaQWXTdB32-DSlZt8bBVzlm3wsljiMm-qwQ4rQH7vo9rHwB_WWfweAgPPoH79VmHtVcx5TbAynoXsco6G3OeiSV-DUonq_Naqwg3eJEjZ8qpsMfzUXOOTnq1jXDxV6do8XC_mD0Vzy-P89ndc6E5E6loO055wyoQPWdM99RUTCx5bRgTCqihS6VaY4wwTUtr1VDedX1NVC2EWTaMTdHVGDsE_7HLL8qN3wWXL8qK8JwsWiqyio8qHXyMAXo5hMwi7CUl8gBbbuTIQB5gH6YZdrbdjjbID3xaCDJqC06DsQF0ksbb_wN-AMKBi5Y</recordid><startdate>20180115</startdate><enddate>20180115</enddate><creator>Schallenberg-Rodríguez, Julieta</creator><creator>García Montesdeoca, Nuria</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope></search><sort><creationdate>20180115</creationdate><title>Spatial planning to estimate the offshore wind energy potential in coastal regions and islands. Practical case: The Canary Islands</title><author>Schallenberg-Rodríguez, Julieta ; García Montesdeoca, Nuria</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-79414632e8f433cf1d238b45d338ae1d1baa7ddd8d6715a61499f50a588db633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Bathymetry</topic><topic>Canary Islands</topic><topic>Coastal zone</topic><topic>Coasts</topic><topic>Cost analysis</topic><topic>Economic analysis</topic><topic>Electric power demand</topic><topic>Electricity</topic><topic>Electricity consumption</topic><topic>Electricity pricing</topic><topic>Energy costs</topic><topic>Energy sources</topic><topic>Geographic information systems</topic><topic>GIS</topic><topic>Islands</topic><topic>Methodology</topic><topic>Offshore</topic><topic>Offshore energy sources</topic><topic>Offshore operations</topic><topic>Offshore wind energy</topic><topic>Population density</topic><topic>Potential</topic><topic>Renewable resources</topic><topic>Satellite navigation systems</topic><topic>Sustainable yield</topic><topic>Turbines</topic><topic>Wind farms</topic><topic>Wind power</topic><topic>Wind power generation</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schallenberg-Rodríguez, Julieta</creatorcontrib><creatorcontrib>García Montesdeoca, Nuria</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Energy (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schallenberg-Rodríguez, Julieta</au><au>García Montesdeoca, Nuria</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial planning to estimate the offshore wind energy potential in coastal regions and islands. Practical case: The Canary Islands</atitle><jtitle>Energy (Oxford)</jtitle><date>2018-01-15</date><risdate>2018</risdate><volume>143</volume><spage>91</spage><epage>103</epage><pages>91-103</pages><issn>0360-5442</issn><eissn>1873-6785</eissn><abstract>The Canary Islands, as many islands and coastal regions, are characterized by no conventional energy sources (but renewable resources, mainly wind and solar), by a high population density and land scarcity. Taking into account this context, it is crucial to determine the offshore wind energy potential as a first step for the energy planning. For this purpose, a methodology adapted to islands' and coastal regions' requirements has been developed. The methodology is based on GIS (Geographical Information Systems), and takes into account technical, economic and spatial constrain. Wind turbines (bottom-fixed or floating according to the bathymetry) are placed within the resulting suitable areas, quantifying also the energy production and its cost. The economic analysis includes the calculation of the LCOE (Levelized Cost Of Energy), including integration costs, and the resulting resource cost curves. The methodology has been applied to a practical case, the Canary Islands. Results show that the electricity produced by offshore wind farms exceeds the yearly electricity demand. Moreover, the offshore wind energy cost is lower than the current electricity cost. The analysis provides further useful indicators such as percentage of suitable areas, surface covered by wind turbines, array density of turbines and marginal offshore wind energy cost.
•Novel methodology to determine off-shore wind potential for small regions and islands based on spatial planning and GIS.•Inclusion of techno-economic constrain.•Economical assessment to determine the marginal generation cost of wind energy.•Practical case: application to the Canary Islands.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.energy.2017.10.084</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Bathymetry Canary Islands Coastal zone Coasts Cost analysis Economic analysis Electric power demand Electricity Electricity consumption Electricity pricing Energy costs Energy sources Geographic information systems GIS Islands Methodology Offshore Offshore energy sources Offshore operations Offshore wind energy Population density Potential Renewable resources Satellite navigation systems Sustainable yield Turbines Wind farms Wind power Wind power generation Wind turbines |
title | Spatial planning to estimate the offshore wind energy potential in coastal regions and islands. Practical case: The Canary Islands |
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