为澳大利亚的可持续发展研究适当的波浪能技术

IF 2.2 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Journal of Engineering Research Pub Date : 2025-09-01 Epub Date: 2024-07-25 DOI:10.1016/j.jer.2024.07.002
Chia-Nan Wang, Thuy-Duong Thi Pham, Dinh-Binh Nguyen
{"title":"为澳大利亚的可持续发展研究适当的波浪能技术","authors":"Chia-Nan Wang,&nbsp;Thuy-Duong Thi Pham,&nbsp;Dinh-Binh Nguyen","doi":"10.1016/j.jer.2024.07.002","DOIUrl":null,"url":null,"abstract":"<div><div>The deployment and development of wave energy systems to increase energy sector efficiency is essential for governments. To develop and maximize the exploitation of wave energy sources, applying appropriate technologies is extremely important. The design of decision-making tools to identify the best technology for developing energy resources optimally is one of the primary decision-making issues in the energy sector. In this article, we have proposed a Multi-Criteria Decision Making (MCDM) model to select suitable technologies among eleven wave energy harvesting technologies: OPT PowerBuoy, AquaBuoy, Archimedes Wave Swing, Salter’s Duck, Aquamarine PowerOyster, Bio Wave, SEAREV, Weptos, Mighty Whale, Wave dragon. To handle conflicting objectives during evaluation, the Fuzzy AHP method is used to calculate the weight of the criteria. Then, wave energy harvesting technology is ranked using the Fuzzy TOPSIS approach. An actual case study from Australia was examined in order to show the viability of the suggested decision-making methodology. This study applies a valuable reference to the issue of wave technology selection; Therefore, managers involved in wave energy can use the problem-solving approach in this study to identify the most suitable wave energy technology based on their criteria. Research results show that the most suitable technologies for optimal development of wave energy sources in Australia are WET-05 and WET-03 with coefficients of 0.852 and 0.806, respectively. Meanwhile, two technologies considered unsuitable for developing wave energy sources in this study are WET-06 and WET-11 with scores of 0.375 and 0.381, respectively. In this study, the combined application of the two FAHP-FTOPSIS methods is considered more appropriate because of its theoretical ease of understanding as well as the simplicity of application and robustness of the results.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 3","pages":"Pages 2589-2602"},"PeriodicalIF":2.2000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study of appropriate wave energy technology for sustainable development in Australia\",\"authors\":\"Chia-Nan Wang,&nbsp;Thuy-Duong Thi Pham,&nbsp;Dinh-Binh Nguyen\",\"doi\":\"10.1016/j.jer.2024.07.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The deployment and development of wave energy systems to increase energy sector efficiency is essential for governments. To develop and maximize the exploitation of wave energy sources, applying appropriate technologies is extremely important. The design of decision-making tools to identify the best technology for developing energy resources optimally is one of the primary decision-making issues in the energy sector. In this article, we have proposed a Multi-Criteria Decision Making (MCDM) model to select suitable technologies among eleven wave energy harvesting technologies: OPT PowerBuoy, AquaBuoy, Archimedes Wave Swing, Salter’s Duck, Aquamarine PowerOyster, Bio Wave, SEAREV, Weptos, Mighty Whale, Wave dragon. To handle conflicting objectives during evaluation, the Fuzzy AHP method is used to calculate the weight of the criteria. Then, wave energy harvesting technology is ranked using the Fuzzy TOPSIS approach. An actual case study from Australia was examined in order to show the viability of the suggested decision-making methodology. This study applies a valuable reference to the issue of wave technology selection; Therefore, managers involved in wave energy can use the problem-solving approach in this study to identify the most suitable wave energy technology based on their criteria. Research results show that the most suitable technologies for optimal development of wave energy sources in Australia are WET-05 and WET-03 with coefficients of 0.852 and 0.806, respectively. Meanwhile, two technologies considered unsuitable for developing wave energy sources in this study are WET-06 and WET-11 with scores of 0.375 and 0.381, respectively. In this study, the combined application of the two FAHP-FTOPSIS methods is considered more appropriate because of its theoretical ease of understanding as well as the simplicity of application and robustness of the results.</div></div>\",\"PeriodicalId\":48803,\"journal\":{\"name\":\"Journal of Engineering Research\",\"volume\":\"13 3\",\"pages\":\"Pages 2589-2602\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Engineering Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2307187724001950\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/7/25 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2307187724001950","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/25 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

部署和开发波浪能系统以提高能源部门的效率对各国政府至关重要。为了开发和最大限度地利用波浪能,应用适当的技术是非常重要的。设计决策工具以确定最优开发能源资源的最佳技术是能源部门的主要决策问题之一。在本文中,我们提出了一个多准则决策(MCDM)模型,从11种波浪能收集技术中选择合适的技术:OPT PowerBuoy, AquaBuoy, Archimedes wave Swing, Salter 's Duck, Aquamarine PowerOyster, Bio wave, SEAREV, Weptos, Mighty Whale, wave dragon。为处理评价过程中目标冲突的问题,采用模糊层次分析法计算评价指标的权重。然后,采用模糊TOPSIS法对波浪能收集技术进行排序。为了表明所建议的决策方法的可行性,审查了澳大利亚的一个实际案例研究。本研究对波浪技术选择问题具有重要的参考价值;因此,参与波浪能的管理人员可以在本研究中使用解决问题的方法,根据他们的标准确定最合适的波浪能技术。研究结果表明,最适合澳大利亚波浪能优化开发的技术是WET-05和WET-03,其系数分别为0.852和0.806。同时,本研究认为不适合开发波浪能的两项技术是WET-06和WET-11,得分分别为0.375和0.381。在本研究中,两种FAHP-FTOPSIS方法的联合应用被认为是更合适的,因为它在理论上易于理解,以及应用简单和结果的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A study of appropriate wave energy technology for sustainable development in Australia
The deployment and development of wave energy systems to increase energy sector efficiency is essential for governments. To develop and maximize the exploitation of wave energy sources, applying appropriate technologies is extremely important. The design of decision-making tools to identify the best technology for developing energy resources optimally is one of the primary decision-making issues in the energy sector. In this article, we have proposed a Multi-Criteria Decision Making (MCDM) model to select suitable technologies among eleven wave energy harvesting technologies: OPT PowerBuoy, AquaBuoy, Archimedes Wave Swing, Salter’s Duck, Aquamarine PowerOyster, Bio Wave, SEAREV, Weptos, Mighty Whale, Wave dragon. To handle conflicting objectives during evaluation, the Fuzzy AHP method is used to calculate the weight of the criteria. Then, wave energy harvesting technology is ranked using the Fuzzy TOPSIS approach. An actual case study from Australia was examined in order to show the viability of the suggested decision-making methodology. This study applies a valuable reference to the issue of wave technology selection; Therefore, managers involved in wave energy can use the problem-solving approach in this study to identify the most suitable wave energy technology based on their criteria. Research results show that the most suitable technologies for optimal development of wave energy sources in Australia are WET-05 and WET-03 with coefficients of 0.852 and 0.806, respectively. Meanwhile, two technologies considered unsuitable for developing wave energy sources in this study are WET-06 and WET-11 with scores of 0.375 and 0.381, respectively. In this study, the combined application of the two FAHP-FTOPSIS methods is considered more appropriate because of its theoretical ease of understanding as well as the simplicity of application and robustness of the results.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Engineering Research
Journal of Engineering Research ENGINEERING, MULTIDISCIPLINARY-
CiteScore
1.60
自引率
10.00%
发文量
181
审稿时长
20 weeks
期刊介绍: Journal of Engineering Research (JER) is a international, peer reviewed journal which publishes full length original research papers, reviews, case studies related to all areas of Engineering such as: Civil, Mechanical, Industrial, Electrical, Computer, Chemical, Petroleum, Aerospace, Architectural, Biomedical, Coastal, Environmental, Marine & Ocean, Metallurgical & Materials, software, Surveying, Systems and Manufacturing Engineering. In particular, JER focuses on innovative approaches and methods that contribute to solving the environmental and manufacturing problems, which exist primarily in the Arabian Gulf region and the Middle East countries. Kuwait University used to publish the Journal "Kuwait Journal of Science and Engineering" (ISSN: 1024-8684), which included Science and Engineering articles since 1974. In 2011 the decision was taken to split KJSE into two independent Journals - "Journal of Engineering Research "(JER) and "Kuwait Journal of Science" (KJS).
期刊最新文献
Recent advances and developments of the application of hybrid nanofluids in parabolic solar collector energy systems and guidelines for future prospects Hybrid numerical–machine learning framework for heat transfer prediction in TiO₂ nanofluid microtubes An efficient baseline for multi-view 3d human pose estimation Streamlining nitrogen removal in Kuwait’s WWTP: A data-driven analysis of BNR process optimization Feature alignment LSTM for detecting anomalies in wind turbine main bearing temperature based on SCADA data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1