Evaluating renewable energy sources for implementing the hydrogen economy in Pakistan: a two-stage fuzzy MCDM approach
Hydrogen can play a crucial role in increasing energy security and reducing greenhouse gases in Pakistan. Hydrogen can only be a clean and sustainable fuel if it is generated from renewable energy sources (RES). Thus, it is important to evaluate viability of RES for hydrogen production. This study d...
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| Veröffentlicht in: | Environmental science and pollution research international 2019-11, Vol.26 (32), p.33202-33215 |
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| creator | Xu, Li Shah, Syed Ahsan Ali Zameer, Hashim Solangi, Yasir Ahmed |
| description | Hydrogen can play a crucial role in increasing energy security and reducing greenhouse gases in Pakistan. Hydrogen can only be a clean and sustainable fuel if it is generated from renewable energy sources (RES). Thus, it is important to evaluate viability of RES for hydrogen production. This study developed a two-stage fuzzy MCDM (Multi-criteria decision-making) approach to select the most efficient RES. In the first stage, fuzzy analytical hierarchy process (AHP) obtained the relative weights of four criteria for the selection of best RES. These criteria included commercial potential, environmental impacts, economic benefits, and social acceptance. In the second stage, data envelopment analysis (DEA) measured the relative efficiency of RES using weights of criteria as outputs, and the cost of RES-based electricity generation as input. The results indicated that wind and solar are the most efficient sources of hydrogen production in Pakistan. Municipal solid waste (MSW) and biomass can also be considered a feedstock for the hydrogen economy. Geothermal reported to be the less efficient source and thus is not recommended at present. Sensitivity analysis confirmed the robustness of results obtained using the developed framework. |
| doi_str_mv | 10.1007/s11356-019-06431-0 |
| format | Article |
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Hydrogen can only be a clean and sustainable fuel if it is generated from renewable energy sources (RES). Thus, it is important to evaluate viability of RES for hydrogen production. This study developed a two-stage fuzzy MCDM (Multi-criteria decision-making) approach to select the most efficient RES. In the first stage, fuzzy analytical hierarchy process (AHP) obtained the relative weights of four criteria for the selection of best RES. These criteria included commercial potential, environmental impacts, economic benefits, and social acceptance. In the second stage, data envelopment analysis (DEA) measured the relative efficiency of RES using weights of criteria as outputs, and the cost of RES-based electricity generation as input. The results indicated that wind and solar are the most efficient sources of hydrogen production in Pakistan. Municipal solid waste (MSW) and biomass can also be considered a feedstock for the hydrogen economy. Geothermal reported to be the less efficient source and thus is not recommended at present. Sensitivity analysis confirmed the robustness of results obtained using the developed framework.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-019-06431-0</identifier><identifier>PMID: 31520388</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Alternative energy sources ; Analytic hierarchy process ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Clean energy ; Data envelopment analysis ; Decision Making ; Earth and Environmental Science ; Economic analysis ; Ecotoxicology ; Electricity ; Electricity pricing ; Energy ; Energy resources ; Energy security ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental impact ; Environmental science ; Greenhouse effect ; Greenhouse gases ; Hierarchies ; Hydrogen ; Hydrogen production ; Hydrogen-based energy ; Multiple criterion ; Municipal solid waste ; Municipal waste management ; Operations research ; Pakistan ; Renewable Energy ; Renewable energy sources ; Renewable resources ; Research Article ; Sensitivity analysis ; Solid Waste ; Solid waste management ; Viability ; Waste Water Technology ; Water Management ; Water Pollution Control ; Wind</subject><ispartof>Environmental science and pollution research international, 2019-11, Vol.26 (32), p.33202-33215</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Environmental Science and Pollution Research is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c433t-473826f374022f0ecfd7ed518b3d3b4d1234573c584c12cec013b63331443f7c3</citedby><cites>FETCH-LOGICAL-c433t-473826f374022f0ecfd7ed518b3d3b4d1234573c584c12cec013b63331443f7c3</cites><orcidid>0000-0001-8488-3047</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-019-06431-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-019-06431-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31520388$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xu, Li</creatorcontrib><creatorcontrib>Shah, Syed Ahsan Ali</creatorcontrib><creatorcontrib>Zameer, Hashim</creatorcontrib><creatorcontrib>Solangi, Yasir Ahmed</creatorcontrib><title>Evaluating renewable energy sources for implementing the hydrogen economy in Pakistan: a two-stage fuzzy MCDM approach</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>Hydrogen can play a crucial role in increasing energy security and reducing greenhouse gases in Pakistan. Hydrogen can only be a clean and sustainable fuel if it is generated from renewable energy sources (RES). Thus, it is important to evaluate viability of RES for hydrogen production. This study developed a two-stage fuzzy MCDM (Multi-criteria decision-making) approach to select the most efficient RES. In the first stage, fuzzy analytical hierarchy process (AHP) obtained the relative weights of four criteria for the selection of best RES. These criteria included commercial potential, environmental impacts, economic benefits, and social acceptance. In the second stage, data envelopment analysis (DEA) measured the relative efficiency of RES using weights of criteria as outputs, and the cost of RES-based electricity generation as input. The results indicated that wind and solar are the most efficient sources of hydrogen production in Pakistan. Municipal solid waste (MSW) and biomass can also be considered a feedstock for the hydrogen economy. Geothermal reported to be the less efficient source and thus is not recommended at present. Sensitivity analysis confirmed the robustness of results obtained using the developed framework.</description><subject>Alternative energy sources</subject><subject>Analytic hierarchy process</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Clean energy</subject><subject>Data envelopment analysis</subject><subject>Decision Making</subject><subject>Earth and Environmental Science</subject><subject>Economic analysis</subject><subject>Ecotoxicology</subject><subject>Electricity</subject><subject>Electricity pricing</subject><subject>Energy</subject><subject>Energy resources</subject><subject>Energy security</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental impact</subject><subject>Environmental science</subject><subject>Greenhouse effect</subject><subject>Greenhouse 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Li</au><au>Shah, Syed Ahsan Ali</au><au>Zameer, Hashim</au><au>Solangi, Yasir Ahmed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating renewable energy sources for implementing the hydrogen economy in Pakistan: a two-stage fuzzy MCDM approach</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2019-11-01</date><risdate>2019</risdate><volume>26</volume><issue>32</issue><spage>33202</spage><epage>33215</epage><pages>33202-33215</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>Hydrogen can play a crucial role in increasing energy security and reducing greenhouse gases in Pakistan. Hydrogen can only be a clean and sustainable fuel if it is generated from renewable energy sources (RES). Thus, it is important to evaluate viability of RES for hydrogen production. This study developed a two-stage fuzzy MCDM (Multi-criteria decision-making) approach to select the most efficient RES. In the first stage, fuzzy analytical hierarchy process (AHP) obtained the relative weights of four criteria for the selection of best RES. These criteria included commercial potential, environmental impacts, economic benefits, and social acceptance. In the second stage, data envelopment analysis (DEA) measured the relative efficiency of RES using weights of criteria as outputs, and the cost of RES-based electricity generation as input. The results indicated that wind and solar are the most efficient sources of hydrogen production in Pakistan. Municipal solid waste (MSW) and biomass can also be considered a feedstock for the hydrogen economy. Geothermal reported to be the less efficient source and thus is not recommended at present. Sensitivity analysis confirmed the robustness of results obtained using the developed framework.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31520388</pmid><doi>10.1007/s11356-019-06431-0</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-8488-3047</orcidid></addata></record> |
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| subjects | Alternative energy sources Analytic hierarchy process Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Clean energy Data envelopment analysis Decision Making Earth and Environmental Science Economic analysis Ecotoxicology Electricity Electricity pricing Energy Energy resources Energy security Environment Environmental Chemistry Environmental Health Environmental impact Environmental science Greenhouse effect Greenhouse gases Hierarchies Hydrogen Hydrogen production Hydrogen-based energy Multiple criterion Municipal solid waste Municipal waste management Operations research Pakistan Renewable Energy Renewable energy sources Renewable resources Research Article Sensitivity analysis Solid Waste Solid waste management Viability Waste Water Technology Water Management Water Pollution Control Wind |
| title | Evaluating renewable energy sources for implementing the hydrogen economy in Pakistan: a two-stage fuzzy MCDM approach |
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