Decision aid for hydropower project prioritisation in Nepal by applying Visual PROMETHEE

Q4 Business, Management and Accounting
R. Singh, H. Nachtnebel
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引用次数: 3

Abstract

Nepal needs appropriate decision framework for exploring huge hydropower potential, This work primarily proposes a decision framework applicable to small hydropower schemes (1 to 25 MW) to assist in prioritisation. In the future a similar approach could be developed to prioritise hydropower projects across a broad capacity range. This paper, based on a multi-criteria approach, has the main objective to develop a decision support tool to evaluate, compare and rank alternative proposals of hydropower schemes. The proposed framework organised wide range of criteria under five goals referring to economic, social, environmental, political objectives and additionally, their inherent uncertainties. Six Nepalese pilot sites with comparable capacity were identified for testing the decision framework and Visual PROMETHEE (VP) application proved to be effective for decision making. Thus Visual PROMETHEE could be used for developing decision aid and effective in decision making or prioritising hydropower options exhibiting quite different features.
应用visualpromethee为尼泊尔水电项目优先排序提供决策援助
尼泊尔需要适当的决策框架来探索巨大的水电潜力,这项工作主要提出了一个适用于小水电计划(1至25兆瓦)的决策框架,以协助确定优先顺序。未来可以采用类似的方法,在更大的容量范围内优先考虑水电项目。本文基于多准则方法,主要目的是开发一种决策支持工具,对水电方案的备选方案进行评价、比较和排序。拟议的框架在五个目标下组织了广泛的标准,这些目标涉及经济、社会、环境、政治目标以及它们固有的不确定性。确定了六个具有相当能力的尼泊尔试验点来测试决策框架,visualpromethee (VP)应用程序证明对决策有效。因此,Visual PROMETHEE可用于开发决策援助和有效的决策或优先考虑水电方案表现出相当不同的特点。
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来源期刊
International Journal of Multicriteria Decision Making
International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management
CiteScore
0.70
自引率
0.00%
发文量
9
期刊介绍: IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields
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