评估强化地热系统项目投资的多标准决策方法

IF 9.6 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Energy and AI Pub Date : 2024-06-13 DOI:10.1016/j.egyai.2024.100390
Sara Raos , Josipa Hranić , Ivan Rajšl
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引用次数: 0

摘要

深层地热能源具有巨大的未开发可再生能源潜力,可极大地满足全球能源需求。然而,开发地热项目涉及到地热卤水提取是否充足的不确定性,以及与准备阶段和随后的钻探和刺激活动相关的巨额成本。因此,评估此类项目的可选利用方案是一个复杂的决策问题,可通过多标准决策(MCDM)方法有效解决。本研究介绍了利用层次分析法(AHP)和加权决策矩阵(WDM)评估不同利用替代方案(发电、直接供热和热电联产)的 MCDM 方法。AHP 方法确定每个标准和次级标准的权重,而 WDM 则计算项目的最终等级。在对强化地热系统(EGS)项目进行投资评估时,选择并使用了五个标准组(技术、地质、经济、社会和环境),包括 28 个影响因素。来自工业、教育机构、研究和技术组织 (RTO)、中小型企业 (SME)、当地社区和其他六类的 38 位专家使用了 AHP-WDM 方法。这些不同的专家意见旨在捕捉影响地热能源投资决策的不同观点和知识。对结果进行了相应的分析。研究结果强调了纳入不同观点的重要性,以便为 EGS 项目制定稳健、可信和有效的投资战略。因此,该方法将有助于提高 EGS 项目开发的效率,从而使 EGS 更广泛地进入市场。此外,建议的 AHP-WDM 方法还用于对两个地点的案例研究。通过基于情景的评估对两个地点进行了评估和比较。结果证实,该方法适用于评估各种最终用途和比较不同地点的项目可行性。
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Multi-criteria decision-making method for evaluation of investment in enhanced geothermal systems projects

Deep geothermal energy presents large untapped renewable energy potential could significantly contribute to global energy needs. However, developing geothermal projects involves uncertainties regarding adequate geothermal brine extraction and huge costs related to preparation phases and consequently drilling and stimulation activities. Therefore, evaluating utilization alternatives of such projects is a complex decision-making problem effectively addressed using multi-criteria decision-making (MCDM) methods. This study introduces the MCDM method utilizing analytic hierarchy process (AHP) and weighted decision matrix (WDM) to assess different utilization alternatives (electricity generation, direct heat use and cogeneration). The AHP method determines the weight of each criterion and sub-criterion, while the WDM calculates the final project grade. Five criteria groups - technological, geological, economic, societal and environmental – comprising twenty-eight influencing factors were selected and used for the assessment of investment in Enhanced Geothermal Systems (EGS) projects. The AHP-WDM method was used by 38 experts from six categories: industry, educational institution, research and technology organization (RTO), small- and medium-sized enterprises (SME), local community and other. These diverse expert inputs aimed to capture varying perspectives and knowledge influence investment decisions in geothermal energy. The results were analysed accordingly. The results underscore the importance of incorporating different viewpoints to develop robust, credible, and effective investment strategies for EGS projects. Therefore, this method will contribute to more efficient EGS project development, enabling thus a greater penetration of the EGS into the market. Additionally, the proposed AHP-WDM method was implemented for a case study examining two locations. Locations were assessed and compared on scenario-based evaluation. The results confirmed the method's adequacy for assessing various end uses and comparing project feasibility across different locations.

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来源期刊
Energy and AI
Energy and AI Engineering-Engineering (miscellaneous)
CiteScore
16.50
自引率
0.00%
发文量
64
审稿时长
56 days
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