{"title":"评估新兴经济体采用地热能源支持国家电网的影响因素:对可持续性的影响","authors":"","doi":"10.1016/j.susoc.2024.03.001","DOIUrl":null,"url":null,"abstract":"<div><p>The ongoing Russia-Ukraine conflict has made the global energy crisis a severe issue, particularly for emerging economies with a sharp rise in load shedding in communities, disruptions in industrial operation, and an increased cost of living. Shifting our focus from fossil fuel-based energy to sustainable and promising renewable energy sources, like geothermal energy (GE), is crucial to addressing the ongoing energy crisis. Therefore, this study aims to evaluate the significant factors influencing the adoption of GE to support the national grid of an emerging economy like Bangladesh. An integrated framework consisting of the Delphi method, fuzzy total interpretive structural modeling (TISM), and fuzzy Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis was utilized in this study to evaluate the hierarchical interrelationships among the significant factors. The findings indicate that the top two influencing factors are the “scope for new investments and employment” and the “growing need for inexpensive and renewable energy sources”. The study's findings can offer significant insights to decision-makers and policymakers, which can aid in the development of long-term strategic plans to facilitate the successful adoption and integration of GE and promote sustainability and low-carbon economy in the energy sector.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 167-180"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000047/pdfft?md5=53fa5529e9814337bc4da8e29cc3c22c&pid=1-s2.0-S2666412724000047-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Assessing the factors influencing the adoption of geothermal energy to support the national grid in emerging economies: Implications for sustainability\",\"authors\":\"\",\"doi\":\"10.1016/j.susoc.2024.03.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The ongoing Russia-Ukraine conflict has made the global energy crisis a severe issue, particularly for emerging economies with a sharp rise in load shedding in communities, disruptions in industrial operation, and an increased cost of living. Shifting our focus from fossil fuel-based energy to sustainable and promising renewable energy sources, like geothermal energy (GE), is crucial to addressing the ongoing energy crisis. Therefore, this study aims to evaluate the significant factors influencing the adoption of GE to support the national grid of an emerging economy like Bangladesh. An integrated framework consisting of the Delphi method, fuzzy total interpretive structural modeling (TISM), and fuzzy Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis was utilized in this study to evaluate the hierarchical interrelationships among the significant factors. The findings indicate that the top two influencing factors are the “scope for new investments and employment” and the “growing need for inexpensive and renewable energy sources”. The study's findings can offer significant insights to decision-makers and policymakers, which can aid in the development of long-term strategic plans to facilitate the successful adoption and integration of GE and promote sustainability and low-carbon economy in the energy sector.</p></div>\",\"PeriodicalId\":101201,\"journal\":{\"name\":\"Sustainable Operations and Computers\",\"volume\":\"5 \",\"pages\":\"Pages 167-180\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666412724000047/pdfft?md5=53fa5529e9814337bc4da8e29cc3c22c&pid=1-s2.0-S2666412724000047-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Operations and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666412724000047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Operations and Computers","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666412724000047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
当前的俄乌冲突已使全球能源危机成为一个严重问题,特别是对新兴经济体而言,社区停电现象急剧增加,工业运行中断,生活成本上升。要解决目前的能源危机,关键是要将我们的关注点从化石燃料能源转向可持续的、前景广阔的可再生能源,如地热能源(GE)。因此,本研究旨在评估影响孟加拉国等新兴经济体采用 GE 支持国家电网的重要因素。本研究采用了由德尔菲法、模糊整体解释结构模型(TISM)和模糊交叉影响矩阵乘法应用于分类(MICMAC)分析组成的综合框架,以评估各重要因素之间的层级相互关系。研究结果表明,排在前两位的影响因素分别是 "新投资和就业空间 "以及 "对廉价和可再生能源日益增长的需求"。研究结果可为决策者和政策制定者提供重要启示,有助于制定长期战略计划,推动成功采用和整合通用电气,促进能源行业的可持续发展和低碳经济。
Assessing the factors influencing the adoption of geothermal energy to support the national grid in emerging economies: Implications for sustainability
The ongoing Russia-Ukraine conflict has made the global energy crisis a severe issue, particularly for emerging economies with a sharp rise in load shedding in communities, disruptions in industrial operation, and an increased cost of living. Shifting our focus from fossil fuel-based energy to sustainable and promising renewable energy sources, like geothermal energy (GE), is crucial to addressing the ongoing energy crisis. Therefore, this study aims to evaluate the significant factors influencing the adoption of GE to support the national grid of an emerging economy like Bangladesh. An integrated framework consisting of the Delphi method, fuzzy total interpretive structural modeling (TISM), and fuzzy Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis was utilized in this study to evaluate the hierarchical interrelationships among the significant factors. The findings indicate that the top two influencing factors are the “scope for new investments and employment” and the “growing need for inexpensive and renewable energy sources”. The study's findings can offer significant insights to decision-makers and policymakers, which can aid in the development of long-term strategic plans to facilitate the successful adoption and integration of GE and promote sustainability and low-carbon economy in the energy sector.