Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김진수 | - |
dc.date.accessioned | 2018-03-27T06:25:32Z | - |
dc.date.available | 2018-03-27T06:25:32Z | - |
dc.date.issued | 2012-12 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2012, 37(23), p17655-17662 | en_US |
dc.identifier.issn | 0360-3199 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0360319912020903?via%3Dihub | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/53066 | - |
dc.description.abstract | In this study, we evaluated six hydrogen-producing methods using a fuzzy analytic hierarchy process (AHP) under benefits, opportunities, costs, and risks concepts. Twelve factors were set up, and the weights of each factor were appraised using the fuzzy AHP method. We conclude that steam methane reforming is the optimal method for hydrogen production in Korea; equipment investment cost and market size are the most important factors, while the indirect benefits such as spillover effect, human resource development, and environmental contribution are less important. The results show that achieving economic feasibility and lowering risks are very important. Therefore, considering stable natural gas prices and unconventional gas production, steam methane reforming is a promising option for hydrogen production. Copyright (c) 2012, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved. | en_US |
dc.language.iso | en | en_US |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND | en_US |
dc.subject | Hydrogen production | en_US |
dc.subject | Fuzzy analytic hierarchy process | en_US |
dc.subject | BOCR approach | en_US |
dc.subject | Steam methane reforming | en_US |
dc.subject | Korea | en_US |
dc.subject | EXTENT ANALYSIS METHOD | en_US |
dc.subject | DECISION-MAKING | en_US |
dc.subject | AHP | en_US |
dc.subject | SYSTEMS | en_US |
dc.title | Selecting hydrogen production methods using fuzzy analytic hierarchy process with opportunities, costs, and risks | en_US |
dc.type | Article | en_US |
dc.relation.no | 23 | - |
dc.relation.volume | 37 | - |
dc.identifier.doi | 10.1016/j.ijhydene.2012.09.055 | - |
dc.relation.page | 17655-17662 | - |
dc.relation.journal | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | - |
dc.contributor.googleauthor | Heo, Eunnyeong | - |
dc.contributor.googleauthor | Kim, Jinsoo | - |
dc.contributor.googleauthor | Cho, Sangmin | - |
dc.relation.code | 2012204223 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF EARTH RESOURCES AND ENVIRONMENTAL ENGINEERING | - |
dc.identifier.pid | jinsookim | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.