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...
Gespeichert in:
Veröffentlicht in: | Energy (Oxford) 2021-08, Vol.228, p.120566, Article 120566 |
---|---|
Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
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. |
doi_str_mv | 10.1016/j.energy.2021.120566 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2544913048</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S036054422100815X</els_id><sourcerecordid>2544913048</sourcerecordid><originalsourceid>FETCH-LOGICAL-c334t-f81ef5e22b666cb1b9f52ad68953323c337144bd19d2531f7acb5c55c2788dfd3</originalsourceid><addsrcrecordid>eNp9kDtPxDAQhC0EEsfBP6CwRJ3gR-wkDRI68ZJOooHacuwNJCT2YSeH7t_jU6ipttiZ2Z0PoWtKckqovO1zcBA-DjkjjOaUESHlCVrRquSZLCtxilaES5KJomDn6CLGnhAiqrpeoWajI-A4zfaAfYs1dn4PAx78Dw7afWHj9YAnj40eTDePaYams4B3wRuIETfJbrF3eALz6XwGxjs_dgbrGNN-BDddorNWDxGu_uYavT8-vG2es-3r08vmfpsZzospaysKrQDGGimlaWhTt4JpK6tacM54EpW0KBpLa8sEp22pTSOMEIaVVWVby9foZslNv33PECfV-zm4dFKx1LymnBRVUhWLygQfY4BW7UI36nBQlKgjTdWrhaY60lQLzWS7W2yQGuw7CCqaDpwB2wUwk7K--z_gF9Agf9k</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2544913048</pqid></control><display><type>article</type><title>Case study of a novel low rank coal to calcium carbide process based on techno-economic assessment</title><source>Elsevier ScienceDirect Journals</source><creator>Huo, Hailong ; Liu, Xunliang ; Wen, Zhi ; Lou, Guofeng ; Dou, Ruifeng ; Su, Fuyong ; Zhou, Wenning ; Jiang, Zeyi</creator><creatorcontrib>Huo, Hailong ; Liu, Xunliang ; Wen, Zhi ; Lou, Guofeng ; Dou, Ruifeng ; Su, Fuyong ; Zhou, Wenning ; Jiang, Zeyi</creatorcontrib><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.</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. 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><subject>Calcium</subject><subject>Calcium carbide</subject><subject>Carbides</subject><subject>Coal</subject><subject>Coal pyrolysis</subject><subject>Economic analysis</subject><subject>Economic factors</subject><subject>Economic models</subject><subject>Electric arc furnaces</subject><subject>Net present value</subject><subject>Nonlinear programming</subject><subject>Particle swarm optimization</subject><subject>Power consumption</subject><subject>PSO-NLP</subject><subject>Pyrolysis</subject><subject>Techno-economic assessment</subject><subject>Temperature</subject><issn>0360-5442</issn><issn>1873-6785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kDtPxDAQhC0EEsfBP6CwRJ3gR-wkDRI68ZJOooHacuwNJCT2YSeH7t_jU6ipttiZ2Z0PoWtKckqovO1zcBA-DjkjjOaUESHlCVrRquSZLCtxilaES5KJomDn6CLGnhAiqrpeoWajI-A4zfaAfYs1dn4PAx78Dw7afWHj9YAnj40eTDePaYams4B3wRuIETfJbrF3eALz6XwGxjs_dgbrGNN-BDddorNWDxGu_uYavT8-vG2es-3r08vmfpsZzospaysKrQDGGimlaWhTt4JpK6tacM54EpW0KBpLa8sEp22pTSOMEIaVVWVby9foZslNv33PECfV-zm4dFKx1LymnBRVUhWLygQfY4BW7UI36nBQlKgjTdWrhaY60lQLzWS7W2yQGuw7CCqaDpwB2wUwk7K--z_gF9Agf9k</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Huo, Hailong</creator><creator>Liu, Xunliang</creator><creator>Wen, Zhi</creator><creator>Lou, Guofeng</creator><creator>Dou, Ruifeng</creator><creator>Su, Fuyong</creator><creator>Zhou, Wenning</creator><creator>Jiang, Zeyi</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope></search><sort><creationdate>20210801</creationdate><title>Case study of a novel low rank coal to calcium carbide process based on techno-economic assessment</title><author>Huo, Hailong ; Liu, Xunliang ; Wen, Zhi ; Lou, Guofeng ; Dou, Ruifeng ; Su, Fuyong ; Zhou, Wenning ; Jiang, Zeyi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-f81ef5e22b666cb1b9f52ad68953323c337144bd19d2531f7acb5c55c2788dfd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Calcium</topic><topic>Calcium carbide</topic><topic>Carbides</topic><topic>Coal</topic><topic>Coal pyrolysis</topic><topic>Economic analysis</topic><topic>Economic factors</topic><topic>Economic models</topic><topic>Electric arc furnaces</topic><topic>Net present value</topic><topic>Nonlinear programming</topic><topic>Particle swarm optimization</topic><topic>Power consumption</topic><topic>PSO-NLP</topic><topic>Pyrolysis</topic><topic>Techno-economic assessment</topic><topic>Temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Energy (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huo, Hailong</au><au>Liu, Xunliang</au><au>Wen, Zhi</au><au>Lou, Guofeng</au><au>Dou, Ruifeng</au><au>Su, Fuyong</au><au>Zhou, Wenning</au><au>Jiang, Zeyi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Case study of a novel low rank coal to calcium carbide process based on techno-economic assessment</atitle><jtitle>Energy (Oxford)</jtitle><date>2021-08-01</date><risdate>2021</risdate><volume>228</volume><spage>120566</spage><pages>120566-</pages><artnum>120566</artnum><issn>0360-5442</issn><eissn>1873-6785</eissn><abstract>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.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.energy.2021.120566</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0360-5442 |
ispartof | Energy (Oxford), 2021-08, Vol.228, p.120566, Article 120566 |
issn | 0360-5442 1873-6785 |
language | eng |
recordid | cdi_proquest_journals_2544913048 |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T04%3A12%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Case%20study%20of%20a%20novel%20low%20rank%20coal%20to%20calcium%20carbide%20process%20based%20on%20techno-economic%20assessment&rft.jtitle=Energy%20(Oxford)&rft.au=Huo,%20Hailong&rft.date=2021-08-01&rft.volume=228&rft.spage=120566&rft.pages=120566-&rft.artnum=120566&rft.issn=0360-5442&rft.eissn=1873-6785&rft_id=info:doi/10.1016/j.energy.2021.120566&rft_dat=%3Cproquest_cross%3E2544913048%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2544913048&rft_id=info:pmid/&rft_els_id=S036054422100815X&rfr_iscdi=true |