Energy efficiency assessment: Process modelling and waste heat recovery analysis
•The proposed modelling allows Energy Efficiency Measures to be dynamically analysed.•The proposed recovery system reduces the energy consumption up to 55%.•The new dynamic energy behaviour is settled for the process and recovery system.•The payback of the proposed measure is 3 years and saves 300 M...
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Veröffentlicht in: | Energy conversion and management 2019-09, Vol.196, p.1180-1192 |
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creator | Bonilla-Campos, Iñigo Nieto, Nerea del Portillo-Valdes, Luis Egilegor, Bakartxo Manzanedo, Jaio Gaztañaga, Haizea |
description | •The proposed modelling allows Energy Efficiency Measures to be dynamically analysed.•The proposed recovery system reduces the energy consumption up to 55%.•The new dynamic energy behaviour is settled for the process and recovery system.•The payback of the proposed measure is 3 years and saves 300 MWh/year.•Energy Efficiency Measures are evaluated in energy, production and economic terms.
Energy efficiency in industry is not as elevated as it should be. The aim of this paper is to present a process evaluation based on modelling as well as a waste heat recovery evaluation for a continuous heat treatment process of an Aluminium Die-Casting plant. The process is represented by production and energy dynamic (time-dependent) models combining thermal phenomena with production and economic considerations. These models allow the energy consumption, resource utilization and the production schema to be evaluated. Simulated theoretical phenomena were compared and validated with real data measurements. Once validated, the model of the heat treatment process was applied to search the best work configuration and to identify, quantify and evaluate the impact of a waste heat recovery system. Based on simulation results, their viability (energy savings or productivity increase) was quantified. The assessment shows a potential to reduce the natural gas consumption in the aging heat treatment process up to 55%, with approximately a 3-years payback period and savings of 300 MWh/year. The new working way of the process is assessed. The burners of the aging treatment process present energy reductions from 50% to 80% depending on the burner position. The new waste heat recovery system provides up to 63% of the new energy required by the aging furnace. |
doi_str_mv | 10.1016/j.enconman.2019.06.074 |
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Energy efficiency in industry is not as elevated as it should be. The aim of this paper is to present a process evaluation based on modelling as well as a waste heat recovery evaluation for a continuous heat treatment process of an Aluminium Die-Casting plant. The process is represented by production and energy dynamic (time-dependent) models combining thermal phenomena with production and economic considerations. These models allow the energy consumption, resource utilization and the production schema to be evaluated. Simulated theoretical phenomena were compared and validated with real data measurements. Once validated, the model of the heat treatment process was applied to search the best work configuration and to identify, quantify and evaluate the impact of a waste heat recovery system. Based on simulation results, their viability (energy savings or productivity increase) was quantified. The assessment shows a potential to reduce the natural gas consumption in the aging heat treatment process up to 55%, with approximately a 3-years payback period and savings of 300 MWh/year. The new working way of the process is assessed. The burners of the aging treatment process present energy reductions from 50% to 80% depending on the burner position. The new waste heat recovery system provides up to 63% of the new energy required by the aging furnace.</description><identifier>ISSN: 0196-8904</identifier><identifier>EISSN: 1879-2227</identifier><identifier>DOI: 10.1016/j.enconman.2019.06.074</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Aging ; Aging (natural) ; Aluminum ; Computer simulation ; Continuous casting ; Die casting ; Economic conditions ; Economic models ; Energy conservation ; Energy consumption ; Energy efficiency ; Energy management ; Energy recovery ; Energy savings ; Evaluation ; Furnace modelling ; Heat ; Heat recovery ; Heat recovery systems ; Heat treatment ; Modelling ; Natural gas ; Payback periods ; Power efficiency ; Process assessment ; Resource utilization ; Time dependence ; Viability ; Waste heat ; Waste heat recovery</subject><ispartof>Energy conversion and management, 2019-09, Vol.196, p.1180-1192</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Sep 15, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c398t-313e61785122b140c6bdd1d3ca5db822b9e7bcff7678a9f7d8a86dbfda3a3aa3</citedby><cites>FETCH-LOGICAL-c398t-313e61785122b140c6bdd1d3ca5db822b9e7bcff7678a9f7d8a86dbfda3a3aa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0196890419307459$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Bonilla-Campos, Iñigo</creatorcontrib><creatorcontrib>Nieto, Nerea</creatorcontrib><creatorcontrib>del Portillo-Valdes, Luis</creatorcontrib><creatorcontrib>Egilegor, Bakartxo</creatorcontrib><creatorcontrib>Manzanedo, Jaio</creatorcontrib><creatorcontrib>Gaztañaga, Haizea</creatorcontrib><title>Energy efficiency assessment: Process modelling and waste heat recovery analysis</title><title>Energy conversion and management</title><description>•The proposed modelling allows Energy Efficiency Measures to be dynamically analysed.•The proposed recovery system reduces the energy consumption up to 55%.•The new dynamic energy behaviour is settled for the process and recovery system.•The payback of the proposed measure is 3 years and saves 300 MWh/year.•Energy Efficiency Measures are evaluated in energy, production and economic terms.
Energy efficiency in industry is not as elevated as it should be. The aim of this paper is to present a process evaluation based on modelling as well as a waste heat recovery evaluation for a continuous heat treatment process of an Aluminium Die-Casting plant. The process is represented by production and energy dynamic (time-dependent) models combining thermal phenomena with production and economic considerations. These models allow the energy consumption, resource utilization and the production schema to be evaluated. Simulated theoretical phenomena were compared and validated with real data measurements. Once validated, the model of the heat treatment process was applied to search the best work configuration and to identify, quantify and evaluate the impact of a waste heat recovery system. Based on simulation results, their viability (energy savings or productivity increase) was quantified. The assessment shows a potential to reduce the natural gas consumption in the aging heat treatment process up to 55%, with approximately a 3-years payback period and savings of 300 MWh/year. The new working way of the process is assessed. The burners of the aging treatment process present energy reductions from 50% to 80% depending on the burner position. The new waste heat recovery system provides up to 63% of the new energy required by the aging furnace.</description><subject>Aging</subject><subject>Aging (natural)</subject><subject>Aluminum</subject><subject>Computer simulation</subject><subject>Continuous casting</subject><subject>Die casting</subject><subject>Economic conditions</subject><subject>Economic models</subject><subject>Energy conservation</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Energy management</subject><subject>Energy recovery</subject><subject>Energy savings</subject><subject>Evaluation</subject><subject>Furnace modelling</subject><subject>Heat</subject><subject>Heat recovery</subject><subject>Heat recovery systems</subject><subject>Heat treatment</subject><subject>Modelling</subject><subject>Natural gas</subject><subject>Payback periods</subject><subject>Power efficiency</subject><subject>Process assessment</subject><subject>Resource utilization</subject><subject>Time dependence</subject><subject>Viability</subject><subject>Waste heat</subject><subject>Waste heat recovery</subject><issn>0196-8904</issn><issn>1879-2227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqFkMlOwzAQhi0EEqXwCigS5wQvqRdOoKosUiV66N1y7HFJlKXYaVHfHpfCGc1hNMv_a-ZD6JbggmDC75sCejv0nekLiokqMC-wKM_QhEihckqpOEeTNOC5VLi8RFcxNhhjNsN8glaLHsLmkIH3ta2T0SEzMUKMHfTjQ7YKg01F1g0O2rbuN5npXfZl4gjZB5gxC2CHPYSk6k17iHW8RhfetBFufvMUrZ8X6_lrvnx_eZs_LXPLlBxzRhhwIuSMUFqRElteOUccs2bmKpl6CkRlvRdcSKO8cNJI7irvDEth2BTdnWy3YfjcQRx1M-xCuiFqShVTpZJUpC1-2rJhiDGA19tQdyYcNMH6CE83-g-ePsLTmOsELwkfT0JIL-xrCDr-0AFXp49H7Yb6P4tvVkN9jw</recordid><startdate>20190915</startdate><enddate>20190915</enddate><creator>Bonilla-Campos, Iñigo</creator><creator>Nieto, Nerea</creator><creator>del Portillo-Valdes, Luis</creator><creator>Egilegor, Bakartxo</creator><creator>Manzanedo, Jaio</creator><creator>Gaztañaga, Haizea</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope></search><sort><creationdate>20190915</creationdate><title>Energy efficiency assessment: Process modelling and waste heat recovery analysis</title><author>Bonilla-Campos, Iñigo ; Nieto, Nerea ; del Portillo-Valdes, Luis ; Egilegor, Bakartxo ; Manzanedo, Jaio ; Gaztañaga, Haizea</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c398t-313e61785122b140c6bdd1d3ca5db822b9e7bcff7678a9f7d8a86dbfda3a3aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aging</topic><topic>Aging (natural)</topic><topic>Aluminum</topic><topic>Computer simulation</topic><topic>Continuous casting</topic><topic>Die casting</topic><topic>Economic conditions</topic><topic>Economic models</topic><topic>Energy conservation</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Energy management</topic><topic>Energy recovery</topic><topic>Energy savings</topic><topic>Evaluation</topic><topic>Furnace modelling</topic><topic>Heat</topic><topic>Heat recovery</topic><topic>Heat recovery systems</topic><topic>Heat treatment</topic><topic>Modelling</topic><topic>Natural gas</topic><topic>Payback periods</topic><topic>Power efficiency</topic><topic>Process assessment</topic><topic>Resource utilization</topic><topic>Time dependence</topic><topic>Viability</topic><topic>Waste heat</topic><topic>Waste heat recovery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bonilla-Campos, Iñigo</creatorcontrib><creatorcontrib>Nieto, Nerea</creatorcontrib><creatorcontrib>del Portillo-Valdes, Luis</creatorcontrib><creatorcontrib>Egilegor, Bakartxo</creatorcontrib><creatorcontrib>Manzanedo, Jaio</creatorcontrib><creatorcontrib>Gaztañaga, Haizea</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Energy conversion and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bonilla-Campos, Iñigo</au><au>Nieto, Nerea</au><au>del Portillo-Valdes, Luis</au><au>Egilegor, Bakartxo</au><au>Manzanedo, Jaio</au><au>Gaztañaga, Haizea</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Energy efficiency assessment: Process modelling and waste heat recovery analysis</atitle><jtitle>Energy conversion and management</jtitle><date>2019-09-15</date><risdate>2019</risdate><volume>196</volume><spage>1180</spage><epage>1192</epage><pages>1180-1192</pages><issn>0196-8904</issn><eissn>1879-2227</eissn><abstract>•The proposed modelling allows Energy Efficiency Measures to be dynamically analysed.•The proposed recovery system reduces the energy consumption up to 55%.•The new dynamic energy behaviour is settled for the process and recovery system.•The payback of the proposed measure is 3 years and saves 300 MWh/year.•Energy Efficiency Measures are evaluated in energy, production and economic terms.
Energy efficiency in industry is not as elevated as it should be. The aim of this paper is to present a process evaluation based on modelling as well as a waste heat recovery evaluation for a continuous heat treatment process of an Aluminium Die-Casting plant. The process is represented by production and energy dynamic (time-dependent) models combining thermal phenomena with production and economic considerations. These models allow the energy consumption, resource utilization and the production schema to be evaluated. Simulated theoretical phenomena were compared and validated with real data measurements. Once validated, the model of the heat treatment process was applied to search the best work configuration and to identify, quantify and evaluate the impact of a waste heat recovery system. Based on simulation results, their viability (energy savings or productivity increase) was quantified. The assessment shows a potential to reduce the natural gas consumption in the aging heat treatment process up to 55%, with approximately a 3-years payback period and savings of 300 MWh/year. The new working way of the process is assessed. The burners of the aging treatment process present energy reductions from 50% to 80% depending on the burner position. The new waste heat recovery system provides up to 63% of the new energy required by the aging furnace.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enconman.2019.06.074</doi><tpages>13</tpages></addata></record> |
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subjects | Aging Aging (natural) Aluminum Computer simulation Continuous casting Die casting Economic conditions Economic models Energy conservation Energy consumption Energy efficiency Energy management Energy recovery Energy savings Evaluation Furnace modelling Heat Heat recovery Heat recovery systems Heat treatment Modelling Natural gas Payback periods Power efficiency Process assessment Resource utilization Time dependence Viability Waste heat Waste heat recovery |
title | Energy efficiency assessment: Process modelling and waste heat recovery analysis |
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