Sustainability assessment of electricity generation technologies using weighted multi-criteria decision analysis
Solving the issue of environmental degradation due to the expansion of the World's energy demand requires a balanced approach. The aim of this paper is to comprehensively rank a large number of electricity generation technologies based on their compatibility with the sustainable development of...
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Veröffentlicht in: | Energy policy 2014-02, Vol.65, p.284-297 |
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description | Solving the issue of environmental degradation due to the expansion of the World's energy demand requires a balanced approach. The aim of this paper is to comprehensively rank a large number of electricity generation technologies based on their compatibility with the sustainable development of the industry. The study is based on a set of 10 sustainability indicators which provide a life cycle analysis of the plants. The technologies are ranked using a weighted sum multi-attribute utility method. The indicator weights were established through a survey of 62 academics from the fields of energy and environmental science. Our results show that large hydroelectric projects are the most sustainable technology type, followed by small hydro, onshore wind and solar photovoltaic. We argue that political leaders should have a more structured and strategic approach in implementing sustainable energy policies and this type of research can provide arguments to support such decisions.
•We rank 13 electricity generation technologies based on sustainability.•We use 10 indicators in a weighted sum multi-attribute utility approach.•Weights are calculated based on a survey of 62 academics from the field.•Large hydroelectric projects are ranked as the most sustainable.•Decision makers can use the results to promote a more sustainable energy industry. |
doi_str_mv | 10.1016/j.enpol.2013.09.059 |
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•We rank 13 electricity generation technologies based on sustainability.•We use 10 indicators in a weighted sum multi-attribute utility approach.•Weights are calculated based on a survey of 62 academics from the field.•Large hydroelectric projects are ranked as the most sustainable.•Decision makers can use the results to promote a more sustainable energy industry.</description><identifier>ISSN: 0301-4215</identifier><identifier>EISSN: 1873-6777</identifier><identifier>DOI: 10.1016/j.enpol.2013.09.059</identifier><identifier>CODEN: ENPYAC</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Clean technology ; Decision analysis ; Economic data ; Electric energy ; Electric power ; Electricity generation ; Energy ; Energy economics ; Energy policy ; Environmental degradation ; Environmental science ; Exact sciences and technology ; General, economic and professional studies ; Industry ; Management science ; Methodology. Modelling ; Multi-criteria decision analysis ; Multiple criteria decision making ; Natural energy ; Power demand ; Power generation ; Science ; Studies ; Surveys ; Sustainability ; Sustainable development ; Technology</subject><ispartof>Energy policy, 2014-02, Vol.65, p.284-297</ispartof><rights>2013 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Elsevier Science Ltd. Feb 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c613t-3d1367562f59bbd27a857e8a4cbc0279dbe4857dcd1dd532833fa753b11039a23</citedby><cites>FETCH-LOGICAL-c613t-3d1367562f59bbd27a857e8a4cbc0279dbe4857dcd1dd532833fa753b11039a23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S030142151300983X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27844,27845,27903,27904,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28084390$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Maxim, Alexandru</creatorcontrib><title>Sustainability assessment of electricity generation technologies using weighted multi-criteria decision analysis</title><title>Energy policy</title><description>Solving the issue of environmental degradation due to the expansion of the World's energy demand requires a balanced approach. The aim of this paper is to comprehensively rank a large number of electricity generation technologies based on their compatibility with the sustainable development of the industry. The study is based on a set of 10 sustainability indicators which provide a life cycle analysis of the plants. The technologies are ranked using a weighted sum multi-attribute utility method. The indicator weights were established through a survey of 62 academics from the fields of energy and environmental science. Our results show that large hydroelectric projects are the most sustainable technology type, followed by small hydro, onshore wind and solar photovoltaic. We argue that political leaders should have a more structured and strategic approach in implementing sustainable energy policies and this type of research can provide arguments to support such decisions.
•We rank 13 electricity generation technologies based on sustainability.•We use 10 indicators in a weighted sum multi-attribute utility approach.•Weights are calculated based on a survey of 62 academics from the field.•Large hydroelectric projects are ranked as the most sustainable.•Decision makers can use the results to promote a more sustainable energy industry.</description><subject>Applied sciences</subject><subject>Clean technology</subject><subject>Decision analysis</subject><subject>Economic data</subject><subject>Electric energy</subject><subject>Electric power</subject><subject>Electricity generation</subject><subject>Energy</subject><subject>Energy economics</subject><subject>Energy policy</subject><subject>Environmental degradation</subject><subject>Environmental science</subject><subject>Exact sciences and technology</subject><subject>General, economic and professional studies</subject><subject>Industry</subject><subject>Management science</subject><subject>Methodology. Modelling</subject><subject>Multi-criteria decision analysis</subject><subject>Multiple criteria decision making</subject><subject>Natural energy</subject><subject>Power demand</subject><subject>Power generation</subject><subject>Science</subject><subject>Studies</subject><subject>Surveys</subject><subject>Sustainability</subject><subject>Sustainable development</subject><subject>Technology</subject><issn>0301-4215</issn><issn>1873-6777</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqNkc2KFDEURgtRsB19AjcFIrip8iapVFILFzKMPzDgQl2HVHKrJ006aZOU0m9vyh5cuJBZBZLz3Vy-0zQvCfQEyPj20GM4Rd9TIKyHqQc-PWp2RArWjUKIx80OGJBuoIQ_bZ7lfACAQU7Drjl9XXPRLujZeVfOrc4Zcz5iKG1cWvRoSnJme9ljwKSLi6EtaO5C9HHvMLdrdmHf_kK3vyto2-Pqi-tMcgWT061F4_KW0UH7c3b5efNk0T7ji_vzqvn-4ebb9afu9svHz9fvbzszElY6ZgkbBR_pwqd5tlRoyQVKPZjZABWTnXGoN9ZYYi1nVDK2aMHZTAiwSVN21by5zD2l-GPFXNTRZYPe64BxzYpwCoww4PIBKIwD3fp6CMoZGwTbFnj1D3qIa6otVGoQMElC5VQpdqFMijknXNQpuaNOZ0VAbW7VQf1xqza3CiZV3dbU6_vZOhvtl6RDrflvlEqQA5ugcu8uHNamfzpMKhuHwaB1qZpVNrr__vMbHui8Qg</recordid><startdate>20140201</startdate><enddate>20140201</enddate><creator>Maxim, Alexandru</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Elsevier Science Ltd</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TA</scope><scope>7TB</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>DHY</scope><scope>DON</scope><scope>F28</scope><scope>FQK</scope><scope>FR3</scope><scope>H8D</scope><scope>JBE</scope><scope>JG9</scope><scope>KR7</scope><scope>L7M</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>20140201</creationdate><title>Sustainability assessment of electricity generation technologies using weighted multi-criteria decision analysis</title><author>Maxim, Alexandru</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c613t-3d1367562f59bbd27a857e8a4cbc0279dbe4857dcd1dd532833fa753b11039a23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Clean technology</topic><topic>Decision analysis</topic><topic>Economic data</topic><topic>Electric energy</topic><topic>Electric power</topic><topic>Electricity generation</topic><topic>Energy</topic><topic>Energy economics</topic><topic>Energy policy</topic><topic>Environmental degradation</topic><topic>Environmental science</topic><topic>Exact sciences and technology</topic><topic>General, economic and professional studies</topic><topic>Industry</topic><topic>Management science</topic><topic>Methodology. 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The aim of this paper is to comprehensively rank a large number of electricity generation technologies based on their compatibility with the sustainable development of the industry. The study is based on a set of 10 sustainability indicators which provide a life cycle analysis of the plants. The technologies are ranked using a weighted sum multi-attribute utility method. The indicator weights were established through a survey of 62 academics from the fields of energy and environmental science. Our results show that large hydroelectric projects are the most sustainable technology type, followed by small hydro, onshore wind and solar photovoltaic. We argue that political leaders should have a more structured and strategic approach in implementing sustainable energy policies and this type of research can provide arguments to support such decisions.
•We rank 13 electricity generation technologies based on sustainability.•We use 10 indicators in a weighted sum multi-attribute utility approach.•Weights are calculated based on a survey of 62 academics from the field.•Large hydroelectric projects are ranked as the most sustainable.•Decision makers can use the results to promote a more sustainable energy industry.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enpol.2013.09.059</doi><tpages>14</tpages></addata></record> |
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subjects | Applied sciences Clean technology Decision analysis Economic data Electric energy Electric power Electricity generation Energy Energy economics Energy policy Environmental degradation Environmental science Exact sciences and technology General, economic and professional studies Industry Management science Methodology. Modelling Multi-criteria decision analysis Multiple criteria decision making Natural energy Power demand Power generation Science Studies Surveys Sustainability Sustainable development Technology |
title | Sustainability assessment of electricity generation technologies using weighted multi-criteria decision analysis |
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