Daniel Aghajani , Reidar B. Bratvold , Verena Hagspiel , Olga Noshchenko , Vincent K.G. Toutain
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In this work, we analyze the factors affecting the attractiveness of the floating offshore wind as means to decarbonize brownfield projects on the NCS by applying a multi-objective decision support system for corporate decision-makers. We develop a decision-making framework representing a stepwise approach for decision support based on qualitative and quantitative assessment. In this paper, we combine tools from multi-objective decision analysis and real options valuation to develop a decision framework addressing managerial flexibility under uncertainty. The framework allows for the choice between mutually exclusive alternatives considering multiple objectives and sources of uncertainty. By applying the framework to a case study on the NCS, our findings suggest that higher carbon payments do not enhance the attractiveness of OWFs, underscoring the importance of policy changes such as increased subsidies and cost reductions for promoting investments in the OWFs.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"141 ","pages":"Article 108032"},"PeriodicalIF":13.6000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A multi-objective decision-making framework for the choice between mutually exclusive alternatives under uncertainty: Assessing the competitiveness of offshore wind for a gas field electrification on the NCS\",\"authors\":\"Daniel Aghajani , Reidar B. Bratvold , Verena Hagspiel , Olga Noshchenko , Vincent K.G. Toutain\",\"doi\":\"10.1016/j.eneco.2024.108032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Due to rising concerns about climate change and anticipated energy demand increase the Norwegian government advocates for floating offshore wind to decarbonize its oil and gas industry on the Norwegian continental shelf (NCS). To realize this endeavor, small-scale projects are vital for driving technological innovation and cost reduction without incurring the risk of extensive losses. As floating wind is an immature technology, the relevant investment decision is complicated by a highly uncertain commodities market and strengthening environmental regulations. Hence, when making an investment decision, the operator should also consider objectives that are beyond economic value. In this work, we analyze the factors affecting the attractiveness of the floating offshore wind as means to decarbonize brownfield projects on the NCS by applying a multi-objective decision support system for corporate decision-makers. We develop a decision-making framework representing a stepwise approach for decision support based on qualitative and quantitative assessment. In this paper, we combine tools from multi-objective decision analysis and real options valuation to develop a decision framework addressing managerial flexibility under uncertainty. The framework allows for the choice between mutually exclusive alternatives considering multiple objectives and sources of uncertainty. 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A multi-objective decision-making framework for the choice between mutually exclusive alternatives under uncertainty: Assessing the competitiveness of offshore wind for a gas field electrification on the NCS
Due to rising concerns about climate change and anticipated energy demand increase the Norwegian government advocates for floating offshore wind to decarbonize its oil and gas industry on the Norwegian continental shelf (NCS). To realize this endeavor, small-scale projects are vital for driving technological innovation and cost reduction without incurring the risk of extensive losses. As floating wind is an immature technology, the relevant investment decision is complicated by a highly uncertain commodities market and strengthening environmental regulations. Hence, when making an investment decision, the operator should also consider objectives that are beyond economic value. In this work, we analyze the factors affecting the attractiveness of the floating offshore wind as means to decarbonize brownfield projects on the NCS by applying a multi-objective decision support system for corporate decision-makers. We develop a decision-making framework representing a stepwise approach for decision support based on qualitative and quantitative assessment. In this paper, we combine tools from multi-objective decision analysis and real options valuation to develop a decision framework addressing managerial flexibility under uncertainty. The framework allows for the choice between mutually exclusive alternatives considering multiple objectives and sources of uncertainty. By applying the framework to a case study on the NCS, our findings suggest that higher carbon payments do not enhance the attractiveness of OWFs, underscoring the importance of policy changes such as increased subsidies and cost reductions for promoting investments in the OWFs.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.