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10.1016/j.apenergy.2020.115295 http://scihub22266oqcxt.onion/10.1016/j.apenergy.2020.115295 32536741!7282776!32536741     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32536741&cmd=llinks): Failed to open stream: HTTP request failed! 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Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India s industry sector |pdf=|usr=}}{{32536741}} gab.com Text Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India s industry sector JO: Appl Energy http://www.kidney.de/pget.php?&tw=1&pmid=32536741 #FOAvip 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). Twit Text FOAVip Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India s industry sector ????Appl Energy http://www.kidney.de/pget.php?&tw=1&pmid=32536741 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32536741 #FOAvip English Wikipedia <ref>{{Cite pmid|32536741}}</ref> Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India s industry sector #MMPMID32536741 Moya D; Budinis S; Giarola S; Hawkes A Appl Energy 2020[Sep]; 274 (ä): 115295 PMID32536741show ga 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). äAgent-based scenarios comparison for assessing fuel-switching investme(epmc).pdf DeepDyve Pubget Overpricing