Economic and environmental optimization of a multi-site utility network for an industrial complex
Most chemical companies consume a lot of steam, water and electrical resources in the production process. Given recent record fuel costs, utility networks must be optimized to reduce the overall cost of production. Environmental concerns must also be considered when preparing modifications to satisf...
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Veröffentlicht in: | Journal of environmental management 2010, Vol.91 (3), p.690-705 |
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description | Most chemical companies consume a lot of steam, water and electrical resources in the production process. Given recent record fuel costs, utility networks must be optimized to reduce the overall cost of production. Environmental concerns must also be considered when preparing modifications to satisfy the requirements for industrial utilities, since wastes discharged from the utility networks are restricted by environmental regulations. Construction of Eco-Industrial Parks (EIPs) has drawn attention as a promising approach for retrofitting existing industrial parks to improve energy efficiency. The optimization of the utility network within an industrial complex is one of the most important undertakings to minimize energy consumption and waste loads in the EIP.
In this work, a systematic approach to optimize the utility network of an industrial complex is presented. An important issue in the optimization of a utility network is the desire of the companies to achieve high profits while complying with the environmental regulations. Therefore, the proposed optimization was performed with consideration of both economic and environmental factors.
The proposed approach consists of unit modeling using thermodynamic principles, mass and energy balances, development of a multi-period Mixed Integer Linear Programming (MILP) model for the integration of utility systems in an industrial complex, and an economic/environmental analysis of the results. This approach is applied to the Yeosu Industrial Complex, considering seasonal utility demands. The results show that both the total utility cost and waste load are reduced by optimizing the utility network of an industrial complex. |
doi_str_mv | 10.1016/j.jenvman.2009.09.033 |
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In this work, a systematic approach to optimize the utility network of an industrial complex is presented. An important issue in the optimization of a utility network is the desire of the companies to achieve high profits while complying with the environmental regulations. Therefore, the proposed optimization was performed with consideration of both economic and environmental factors.
The proposed approach consists of unit modeling using thermodynamic principles, mass and energy balances, development of a multi-period Mixed Integer Linear Programming (MILP) model for the integration of utility systems in an industrial complex, and an economic/environmental analysis of the results. This approach is applied to the Yeosu Industrial Complex, considering seasonal utility demands. The results show that both the total utility cost and waste load are reduced by optimizing the utility network of an industrial complex.</description><identifier>ISSN: 0301-4797</identifier><identifier>EISSN: 1095-8630</identifier><identifier>DOI: 10.1016/j.jenvman.2009.09.033</identifier><identifier>PMID: 19880240</identifier><identifier>CODEN: JEVMAW</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Animal, plant and microbial ecology ; Applied ecology ; Biological and medical sciences ; Chemical Industry - economics ; Conservation of Energy Resources - economics ; Conservation of Energy Resources - methods ; Conservation, protection and management of environment and wildlife ; Cost analysis ; Eco-industrial park ; Ecology ; Electric Power Supplies - economics ; Energy efficiency ; Environmental regulations ; Fundamental and applied biological sciences. Psychology ; General aspects ; General aspects. Techniques ; Industrial areas ; Industrial ecology ; Industrial parks ; Industrial structure ; Industrial Waste - economics ; Mathematical models ; Mathematical optimization model ; Methods and techniques (sampling, tagging, trapping, modelling...) ; Models, Theoretical ; Multi-site utility network ; Networks ; Optimization ; Public utilities ; Regulation ; Republic of Korea ; South Korea ; Steam ; Utility theory</subject><ispartof>Journal of environmental management, 2010, Vol.91 (3), p.690-705</ispartof><rights>2009 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>2009 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Academic Press Ltd. Jan/Feb 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c452t-6150ea5dea05b851131d4f5a98c4c7e74b1de94a496eca7b4c391709a9ecc64a3</citedby><cites>FETCH-LOGICAL-c452t-6150ea5dea05b851131d4f5a98c4c7e74b1de94a496eca7b4c391709a9ecc64a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jenvman.2009.09.033$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,4024,27923,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22362150$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19880240$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Sang Hun</creatorcontrib><creatorcontrib>Yoon, Sung-Geun</creatorcontrib><creatorcontrib>Chae, Song Hwa</creatorcontrib><creatorcontrib>Park, Sunwon</creatorcontrib><title>Economic and environmental optimization of a multi-site utility network for an industrial complex</title><title>Journal of environmental management</title><addtitle>J Environ Manage</addtitle><description>Most chemical companies consume a lot of steam, water and electrical resources in the production process. Given recent record fuel costs, utility networks must be optimized to reduce the overall cost of production. Environmental concerns must also be considered when preparing modifications to satisfy the requirements for industrial utilities, since wastes discharged from the utility networks are restricted by environmental regulations. Construction of Eco-Industrial Parks (EIPs) has drawn attention as a promising approach for retrofitting existing industrial parks to improve energy efficiency. The optimization of the utility network within an industrial complex is one of the most important undertakings to minimize energy consumption and waste loads in the EIP.
In this work, a systematic approach to optimize the utility network of an industrial complex is presented. An important issue in the optimization of a utility network is the desire of the companies to achieve high profits while complying with the environmental regulations. Therefore, the proposed optimization was performed with consideration of both economic and environmental factors.
The proposed approach consists of unit modeling using thermodynamic principles, mass and energy balances, development of a multi-period Mixed Integer Linear Programming (MILP) model for the integration of utility systems in an industrial complex, and an economic/environmental analysis of the results. This approach is applied to the Yeosu Industrial Complex, considering seasonal utility demands. The results show that both the total utility cost and waste load are reduced by optimizing the utility network of an industrial complex.</description><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>Biological and medical sciences</subject><subject>Chemical Industry - economics</subject><subject>Conservation of Energy Resources - economics</subject><subject>Conservation of Energy Resources - methods</subject><subject>Conservation, protection and management of environment and wildlife</subject><subject>Cost analysis</subject><subject>Eco-industrial park</subject><subject>Ecology</subject><subject>Electric Power Supplies - economics</subject><subject>Energy efficiency</subject><subject>Environmental regulations</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>General aspects. Techniques</subject><subject>Industrial areas</subject><subject>Industrial ecology</subject><subject>Industrial parks</subject><subject>Industrial structure</subject><subject>Industrial Waste - economics</subject><subject>Mathematical models</subject><subject>Mathematical optimization model</subject><subject>Methods and techniques (sampling, tagging, trapping, modelling...)</subject><subject>Models, Theoretical</subject><subject>Multi-site utility network</subject><subject>Networks</subject><subject>Optimization</subject><subject>Public utilities</subject><subject>Regulation</subject><subject>Republic of Korea</subject><subject>South Korea</subject><subject>Steam</subject><subject>Utility theory</subject><issn>0301-4797</issn><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0U2L1TAUBuAginMd_QlKENRVr0nz0WYlMowfMOBG1-Hc9BRS2-SapKPjrzeXWxRcKASyec5Lcl5CnnK254zr19N-wnC7QNi3jJn96Qhxj-w4M6rptWD3yY4JxhvZme6CPMp5YoyJlncPyQU3fc9ayXYErl0McfGOQhhoTfQphgVDgZnGY_GL_wnFx0DjSIEu61x8k31BuhY_-3JHA5bvMX2lY0w1gvowrLkkX8ddXI4z_nhMHowwZ3yy3Zfky7vrz1cfmptP7z9evb1pnFRtaTRXDEENCEwdesW54IMcFZjeSddhJw98QCNBGo0OuoN0wvCOGTDonJYgLsmrc-4xxW8r5mIXnx3OMwSMa7adEJxL0-oqX_5Tiq6VSrO-wud_wSmuKdRfWG6UFoprU5E6I5dizglHe0x-gXRnObOnquxkt6rsqSp7OkLUuWdb-HpYcPgztXVTwYsNQHYwjwmC8_m3a1uh27q06t6cHdbt3npMNjuPweHgE7pih-j_85RfGSK1hQ</recordid><startdate>2010</startdate><enddate>2010</enddate><creator>Kim, Sang Hun</creator><creator>Yoon, Sung-Geun</creator><creator>Chae, Song Hwa</creator><creator>Park, Sunwon</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Academic Press Ltd</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>8BJ</scope><scope>C1K</scope><scope>F1W</scope><scope>FQK</scope><scope>H97</scope><scope>JBE</scope><scope>L.G</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>2010</creationdate><title>Economic and environmental optimization of a multi-site utility network for an industrial complex</title><author>Kim, Sang Hun ; Yoon, Sung-Geun ; Chae, Song Hwa ; Park, Sunwon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c452t-6150ea5dea05b851131d4f5a98c4c7e74b1de94a496eca7b4c391709a9ecc64a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Applied ecology</topic><topic>Biological and medical sciences</topic><topic>Chemical Industry - economics</topic><topic>Conservation of Energy Resources - economics</topic><topic>Conservation of Energy Resources - methods</topic><topic>Conservation, protection and management of environment and wildlife</topic><topic>Cost analysis</topic><topic>Eco-industrial park</topic><topic>Ecology</topic><topic>Electric Power Supplies - economics</topic><topic>Energy efficiency</topic><topic>Environmental regulations</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>General aspects. Techniques</topic><topic>Industrial areas</topic><topic>Industrial ecology</topic><topic>Industrial parks</topic><topic>Industrial structure</topic><topic>Industrial Waste - economics</topic><topic>Mathematical models</topic><topic>Mathematical optimization model</topic><topic>Methods and techniques (sampling, tagging, trapping, modelling...)</topic><topic>Models, Theoretical</topic><topic>Multi-site utility network</topic><topic>Networks</topic><topic>Optimization</topic><topic>Public utilities</topic><topic>Regulation</topic><topic>Republic of Korea</topic><topic>South Korea</topic><topic>Steam</topic><topic>Utility theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Sang Hun</creatorcontrib><creatorcontrib>Yoon, Sung-Geun</creatorcontrib><creatorcontrib>Chae, Song Hwa</creatorcontrib><creatorcontrib>Park, Sunwon</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Sang Hun</au><au>Yoon, Sung-Geun</au><au>Chae, Song Hwa</au><au>Park, Sunwon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Economic and environmental optimization of a multi-site utility network for an industrial complex</atitle><jtitle>Journal of environmental management</jtitle><addtitle>J Environ Manage</addtitle><date>2010</date><risdate>2010</risdate><volume>91</volume><issue>3</issue><spage>690</spage><epage>705</epage><pages>690-705</pages><issn>0301-4797</issn><eissn>1095-8630</eissn><coden>JEVMAW</coden><abstract>Most chemical companies consume a lot of steam, water and electrical resources in the production process. Given recent record fuel costs, utility networks must be optimized to reduce the overall cost of production. Environmental concerns must also be considered when preparing modifications to satisfy the requirements for industrial utilities, since wastes discharged from the utility networks are restricted by environmental regulations. Construction of Eco-Industrial Parks (EIPs) has drawn attention as a promising approach for retrofitting existing industrial parks to improve energy efficiency. The optimization of the utility network within an industrial complex is one of the most important undertakings to minimize energy consumption and waste loads in the EIP.
In this work, a systematic approach to optimize the utility network of an industrial complex is presented. An important issue in the optimization of a utility network is the desire of the companies to achieve high profits while complying with the environmental regulations. Therefore, the proposed optimization was performed with consideration of both economic and environmental factors.
The proposed approach consists of unit modeling using thermodynamic principles, mass and energy balances, development of a multi-period Mixed Integer Linear Programming (MILP) model for the integration of utility systems in an industrial complex, and an economic/environmental analysis of the results. This approach is applied to the Yeosu Industrial Complex, considering seasonal utility demands. The results show that both the total utility cost and waste load are reduced by optimizing the utility network of an industrial complex.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>19880240</pmid><doi>10.1016/j.jenvman.2009.09.033</doi><tpages>16</tpages></addata></record> |
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subjects | Animal, plant and microbial ecology Applied ecology Biological and medical sciences Chemical Industry - economics Conservation of Energy Resources - economics Conservation of Energy Resources - methods Conservation, protection and management of environment and wildlife Cost analysis Eco-industrial park Ecology Electric Power Supplies - economics Energy efficiency Environmental regulations Fundamental and applied biological sciences. Psychology General aspects General aspects. Techniques Industrial areas Industrial ecology Industrial parks Industrial structure Industrial Waste - economics Mathematical models Mathematical optimization model Methods and techniques (sampling, tagging, trapping, modelling...) Models, Theoretical Multi-site utility network Networks Optimization Public utilities Regulation Republic of Korea South Korea Steam Utility theory |
title | Economic and environmental optimization of a multi-site utility network for an industrial complex |
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