Case study of a novel low rank coal to calcium carbide process based on techno-economic assessment

As calcium carbide (CaC2) production is an energy-intensive industry, a novel low rank coal to CaC2 (LRCtCC) process has been developed. This study is aimed to evaluate the techno-economic performance of the LRCtCC process. A model integrating particle swarm optimization and nonlinear programming (P...

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Veröffentlicht in:Energy (Oxford) 2021-08, Vol.228, p.120566, Article 120566
Hauptverfasser: Huo, Hailong, Liu, Xunliang, Wen, Zhi, Lou, Guofeng, Dou, Ruifeng, Su, Fuyong, Zhou, Wenning, Jiang, Zeyi
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container_start_page 120566
container_title Energy (Oxford)
container_volume 228
creator Huo, Hailong
Liu, Xunliang
Wen, Zhi
Lou, Guofeng
Dou, Ruifeng
Su, Fuyong
Zhou, Wenning
Jiang, Zeyi
description As calcium carbide (CaC2) production is an energy-intensive industry, a novel low rank coal to CaC2 (LRCtCC) process has been developed. This study is aimed to evaluate the techno-economic performance of the LRCtCC process. A model integrating particle swarm optimization and nonlinear programming (PSO-NLP) is developed to predict the behavior of coal pyrolysis. The techno-economic assessment of the LRCtCC process is analyzed. Results show that the power consumption of electric arc furnace is expected to drop to 2845 from 3169 kW·h/t with the hot material (HM) temperature increasing from 25 to 850 °C. The effect of increasing HM temperature is greater than that of adjusting the composition of fuel on system efficiency, cost of CaC2, and internal rate of return. In addition, the effects of typical economic factors on net present value (NPV) of the LRCtCC process are compared. Results show that variations of CaC2 price and power consumption pose a remarkable impact on NPV. The findings of this study suggest that the LRCtCC process would be an attractive method for the improvement of CaC2 production. •A PSO-NLP model was developed to predict the behavior of coal pyrolysis.•The effect of hot material temperature on the power consumption of CaC2 production was investigated.•The application of rotary hearth furnace gas and electric arc furnace gas was studied.•Sensitive analysis of the main parameters on economic performance was evaluated.
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This study is aimed to evaluate the techno-economic performance of the LRCtCC process. A model integrating particle swarm optimization and nonlinear programming (PSO-NLP) is developed to predict the behavior of coal pyrolysis. The techno-economic assessment of the LRCtCC process is analyzed. Results show that the power consumption of electric arc furnace is expected to drop to 2845 from 3169 kW·h/t with the hot material (HM) temperature increasing from 25 to 850 °C. The effect of increasing HM temperature is greater than that of adjusting the composition of fuel on system efficiency, cost of CaC2, and internal rate of return. In addition, the effects of typical economic factors on net present value (NPV) of the LRCtCC process are compared. Results show that variations of CaC2 price and power consumption pose a remarkable impact on NPV. The findings of this study suggest that the LRCtCC process would be an attractive method for the improvement of CaC2 production. •A PSO-NLP model was developed to predict the behavior of coal pyrolysis.•The effect of hot material temperature on the power consumption of CaC2 production was investigated.•The application of rotary hearth furnace gas and electric arc furnace gas was studied.•Sensitive analysis of the main parameters on economic performance was evaluated.</description><identifier>ISSN: 0360-5442</identifier><identifier>EISSN: 1873-6785</identifier><identifier>DOI: 10.1016/j.energy.2021.120566</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Calcium ; Calcium carbide ; Carbides ; Coal ; Coal pyrolysis ; Economic analysis ; Economic factors ; Economic models ; Electric arc furnaces ; Net present value ; Nonlinear programming ; Particle swarm optimization ; Power consumption ; PSO-NLP ; Pyrolysis ; Techno-economic assessment ; Temperature</subject><ispartof>Energy (Oxford), 2021-08, Vol.228, p.120566, Article 120566</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright Elsevier BV Aug 1, 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-f81ef5e22b666cb1b9f52ad68953323c337144bd19d2531f7acb5c55c2788dfd3</citedby><cites>FETCH-LOGICAL-c334t-f81ef5e22b666cb1b9f52ad68953323c337144bd19d2531f7acb5c55c2788dfd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S036054422100815X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Huo, Hailong</creatorcontrib><creatorcontrib>Liu, Xunliang</creatorcontrib><creatorcontrib>Wen, Zhi</creatorcontrib><creatorcontrib>Lou, Guofeng</creatorcontrib><creatorcontrib>Dou, Ruifeng</creatorcontrib><creatorcontrib>Su, Fuyong</creatorcontrib><creatorcontrib>Zhou, Wenning</creatorcontrib><creatorcontrib>Jiang, Zeyi</creatorcontrib><title>Case study of a novel low rank coal to calcium carbide process based on techno-economic assessment</title><title>Energy (Oxford)</title><description>As calcium carbide (CaC2) production is an energy-intensive industry, a novel low rank coal to CaC2 (LRCtCC) process has been developed. This study is aimed to evaluate the techno-economic performance of the LRCtCC process. A model integrating particle swarm optimization and nonlinear programming (PSO-NLP) is developed to predict the behavior of coal pyrolysis. The techno-economic assessment of the LRCtCC process is analyzed. Results show that the power consumption of electric arc furnace is expected to drop to 2845 from 3169 kW·h/t with the hot material (HM) temperature increasing from 25 to 850 °C. The effect of increasing HM temperature is greater than that of adjusting the composition of fuel on system efficiency, cost of CaC2, and internal rate of return. In addition, the effects of typical economic factors on net present value (NPV) of the LRCtCC process are compared. Results show that variations of CaC2 price and power consumption pose a remarkable impact on NPV. 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source Elsevier ScienceDirect Journals
subjects Calcium
Calcium carbide
Carbides
Coal
Coal pyrolysis
Economic analysis
Economic factors
Economic models
Electric arc furnaces
Net present value
Nonlinear programming
Particle swarm optimization
Power consumption
PSO-NLP
Pyrolysis
Techno-economic assessment
Temperature
title Case study of a novel low rank coal to calcium carbide process based on techno-economic assessment
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