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      Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India’s industry sector

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          Highlights

          • Large on-site survey to provide real-world investment data of 108 iron-steel plants.

          • Agent-based integrated assessment framework to assess industry fuel-switching.

          • Fuel-switching assessment including 4 investment metrics and 5 comparable scenarios.

          • Partial-equilibrium agent-based scenarios of an evolving socio-technical system.

          • Partial-equilibrium agent interactions produce non-smooth gas uptake patterns.

          Abstract

          This paper presents the formulation and application of a novel agent-based integrated assessment approach to model the attributes, objectives and decision-making process of investors in a long-term energy transition in India’s iron and steel sector. It takes empirical data from an on-site survey of 108 operating plants in Maharashtra to formulate objectives and decision-making metrics for the agent-based model and simulates possible future portfolio mixes. The studied decision drivers were capital costs, operating costs (including fuel consumption), a combination of capital and operating costs, and net present value. Where investors used a weighted combination of capital cost and operating costs, a natural gas uptake of ~12PJ was obtained and the highest cumulative emissions reduction was obtained, 2 Mt CO 2 in the period from 2020 to 2050. Conversely if net present value alone is used, cumulative emissions reduction in the same period was lower, 1.6 Mt CO 2, and the cumulative uptake of natural gas was equal to 15PJ. Results show how the differing upfront investment cost of the technology options could cause prevalence of high-carbon fuels, particularly heavy fuel oil, in the final mix. Results also represent the unique heterogeneity of fuel-switching industrial investors with distinct investment goals and limited foresight on costs. The perception of high capital expenditures for decarbonisation represents a significant barrier to the energy transition in industry and should be addressed via effective policy making (e.g. carbon policy/price).

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          A Behavioral Model of Rational Choice

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            Emotion and Decision Making

            A revolution in the science of emotion has emerged in recent decades, with the potential to create a paradigm shift in decision theories. The research reveals that emotions constitute potent, pervasive, predictable, sometimes harmful and sometimes beneficial drivers of decision making. Across different domains, important regularities appear in the mechanisms through which emotions influence judgments and choices. We organize and analyze what has been learned from the past 35 years of work on emotion and decision making. In so doing, we propose the emotion-imbued choice model, which accounts for inputs from traditional rational choice theory and from newer emotion research, synthesizing scientific models.
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              The theory and practice of corporate finance: evidence from the field

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                Author and article information

                Contributors
                Journal
                Appl Energy
                Appl Energy
                Applied Energy
                Elsevier Ltd.
                0306-2619
                0306-2619
                9 June 2020
                15 September 2020
                9 June 2020
                : 274
                : 115295
                Affiliations
                [a ]Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom
                [b ]Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, United Kingdom
                [c ]Carrera de Ingeniería Mecánica, Facultad de Ingeniería Civil y Mecánica, Universidad Técnica de Ambato, Ambato, Ecuador
                [d ]Institute for Applied Sustainability Research, iiasur, Quito, Ecuador
                [e ]Grantham Institute, Science and Solutions for a Changing Planet DTP, Imperial College London, London SW7 2AZ, United Kingdom
                Author notes
                [* ]Corresponding author at: Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom; and Carrera de Ingeniería Mecánica, Facultad de Ingeniería Civil y Mecánica, Universidad Técnica de Ambato, Ambato, Ecuador. d.moya17@ 123456imperial.ac.uk da.moya@ 123456uta.edu.ec
                Article
                S0306-2619(20)30807-2 115295
                10.1016/j.apenergy.2020.115295
                7282776
                32536741
                98ad5fdd-d74f-4b70-abe0-d307b09ce55a
                © 2020 Elsevier Ltd. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 26 January 2020
                : 15 April 2020
                : 30 May 2020
                Categories
                Article

                decarbonisation,energy systems modelling,iron and steel,agent-based,energy survey,investment metrics

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