Flexible Energy Management and Heat Exchanger Network Design
The design of heat exchanger networks (HEN) is a well-studied problem in process synthesis and an ideal test base to benchmark methods and techniques in the field. Despite a significant number of relevant publications, networks are still designed under assumptions of fixed operating conditions. Sign...
Gespeichert in:
Veröffentlicht in: | Annals of operations research 2004-11, Vol.132 (1-4), p.277-300 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 300 |
---|---|
container_issue | 1-4 |
container_start_page | 277 |
container_title | Annals of operations research |
container_volume | 132 |
creator | Tantimuratha, L. Kokossis, A.C. |
description | The design of heat exchanger networks (HEN) is a well-studied problem in process synthesis and an ideal test base to benchmark methods and techniques in the field. Despite a significant number of relevant publications, networks are still designed under assumptions of fixed operating conditions. Significant variations in supply and demand, alongside a need for efficient management in energy markets (energy grids, deregulated markets), impose limitations to this practice. Networks, designed with thermodynamic and economic efficiency under nominal operation, are known to have their efficiency dissipated and wasted in a context of similar though different conditions and demands. In a process plant, operational changes are common but designers still favor the staged approach of Pinch Technology (i.e., targeting-network development) where flexibility is not addressed properly and systematically. Alternatively, superstructure methods offer formulations with complexities hard to address by conventional algorithms. In this work, flexibility is addressed in a context amenable to targeting and network development stages, offering opportunities to visualise solutions and review options. For targeting, a dual approach is proposed that follows the framework of Hypertargets by Briones and Kokossis (1999a, 1999b, 1999c). The conceptual screening involves (i) the selection of cost-effective (primal) matches, and (ii) a model-based approach to assess the flexibility of the design options. Models and procedures are employed to assess trade-offs between operating cost (energy), capital cost (area), and the options' ability to handle variations (flexibility). Primal matches are automatically developed into network configurations with the use of mathematical models. A rigorous, superstructure-based approach is next applied to ensure the development of networks capable of handling operational variations without a need to consider exhaustive combinations of scenarios. The iterative approach incrementally augments the mathematical formulation by constraints and vertex conditions that guarantee consistency. The procedure is illustrated with two industrial problems and reports important improvements over conventional techniques. [PUBLICATION ABSTRACT] |
doi_str_mv | 10.1023/B:ANOR.0000045287.23527.54 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_214507603</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>724523181</sourcerecordid><originalsourceid>FETCH-LOGICAL-c288t-811a05f2b2a24f7ae5f16c5af424ba77610816fe9f62d80439d67e091b7273513</originalsourceid><addsrcrecordid>eNpFkF1PwjAYhRujiYj-h4b7zX6uHfEGcIgJQmL0uunG2wlCh-2I8O8FMfHcnJsn5yQPQj1KUkoYvx_2B7P5a0pOEZJplTIumUqluEAdKhVLcs71JeoQJkUiOSfX6CbG1RGnVMsOehivYb8s14ALD6E-4BfrbQ0b8C22foEnYFtc7KsP62sIeAbtdxM-8SPEZe1v0ZWz6wh3f91F7-PibTRJpvOn59FgmlRM6zbRlFoiHSuZZcIpC9LRrJLWCSZKq1RGiaaZg9xlbKGJ4PkiU0ByWiqmuKS8i3rn3W1ovnYQW7NqdsEfLw2jQhKVEX6E-meoCk2MAZzZhuXGhoOhxJxkmaE5yTL_ssyvLCMF_wEZB1vM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>214507603</pqid></control><display><type>article</type><title>Flexible Energy Management and Heat Exchanger Network Design</title><source>Business Source Complete</source><source>SpringerLink Journals - AutoHoldings</source><creator>Tantimuratha, L. ; Kokossis, A.C.</creator><creatorcontrib>Tantimuratha, L. ; Kokossis, A.C.</creatorcontrib><description>The design of heat exchanger networks (HEN) is a well-studied problem in process synthesis and an ideal test base to benchmark methods and techniques in the field. Despite a significant number of relevant publications, networks are still designed under assumptions of fixed operating conditions. Significant variations in supply and demand, alongside a need for efficient management in energy markets (energy grids, deregulated markets), impose limitations to this practice. Networks, designed with thermodynamic and economic efficiency under nominal operation, are known to have their efficiency dissipated and wasted in a context of similar though different conditions and demands. In a process plant, operational changes are common but designers still favor the staged approach of Pinch Technology (i.e., targeting-network development) where flexibility is not addressed properly and systematically. Alternatively, superstructure methods offer formulations with complexities hard to address by conventional algorithms. In this work, flexibility is addressed in a context amenable to targeting and network development stages, offering opportunities to visualise solutions and review options. For targeting, a dual approach is proposed that follows the framework of Hypertargets by Briones and Kokossis (1999a, 1999b, 1999c). The conceptual screening involves (i) the selection of cost-effective (primal) matches, and (ii) a model-based approach to assess the flexibility of the design options. Models and procedures are employed to assess trade-offs between operating cost (energy), capital cost (area), and the options' ability to handle variations (flexibility). Primal matches are automatically developed into network configurations with the use of mathematical models. A rigorous, superstructure-based approach is next applied to ensure the development of networks capable of handling operational variations without a need to consider exhaustive combinations of scenarios. The iterative approach incrementally augments the mathematical formulation by constraints and vertex conditions that guarantee consistency. The procedure is illustrated with two industrial problems and reports important improvements over conventional techniques. [PUBLICATION ABSTRACT]</description><identifier>ISSN: 0254-5330</identifier><identifier>EISSN: 1572-9338</identifier><identifier>DOI: 10.1023/B:ANOR.0000045287.23527.54</identifier><language>eng</language><publisher>New York: Springer Nature B.V</publisher><subject>Capital costs ; Cold ; Design ; Economics ; Energy industry ; Energy management ; Flexibility ; Heat exchangers ; Heat recovery systems ; Mathematical models ; Mathematical programming ; Operating costs ; Operations research ; Process engineering ; Studies ; Uncertainty</subject><ispartof>Annals of operations research, 2004-11, Vol.132 (1-4), p.277-300</ispartof><rights>Copyright (c) 2004 Kluwer Academic Publishers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c288t-811a05f2b2a24f7ae5f16c5af424ba77610816fe9f62d80439d67e091b7273513</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Tantimuratha, L.</creatorcontrib><creatorcontrib>Kokossis, A.C.</creatorcontrib><title>Flexible Energy Management and Heat Exchanger Network Design</title><title>Annals of operations research</title><description>The design of heat exchanger networks (HEN) is a well-studied problem in process synthesis and an ideal test base to benchmark methods and techniques in the field. Despite a significant number of relevant publications, networks are still designed under assumptions of fixed operating conditions. Significant variations in supply and demand, alongside a need for efficient management in energy markets (energy grids, deregulated markets), impose limitations to this practice. Networks, designed with thermodynamic and economic efficiency under nominal operation, are known to have their efficiency dissipated and wasted in a context of similar though different conditions and demands. In a process plant, operational changes are common but designers still favor the staged approach of Pinch Technology (i.e., targeting-network development) where flexibility is not addressed properly and systematically. Alternatively, superstructure methods offer formulations with complexities hard to address by conventional algorithms. In this work, flexibility is addressed in a context amenable to targeting and network development stages, offering opportunities to visualise solutions and review options. For targeting, a dual approach is proposed that follows the framework of Hypertargets by Briones and Kokossis (1999a, 1999b, 1999c). The conceptual screening involves (i) the selection of cost-effective (primal) matches, and (ii) a model-based approach to assess the flexibility of the design options. Models and procedures are employed to assess trade-offs between operating cost (energy), capital cost (area), and the options' ability to handle variations (flexibility). Primal matches are automatically developed into network configurations with the use of mathematical models. A rigorous, superstructure-based approach is next applied to ensure the development of networks capable of handling operational variations without a need to consider exhaustive combinations of scenarios. The iterative approach incrementally augments the mathematical formulation by constraints and vertex conditions that guarantee consistency. The procedure is illustrated with two industrial problems and reports important improvements over conventional techniques. [PUBLICATION ABSTRACT]</description><subject>Capital costs</subject><subject>Cold</subject><subject>Design</subject><subject>Economics</subject><subject>Energy industry</subject><subject>Energy management</subject><subject>Flexibility</subject><subject>Heat exchangers</subject><subject>Heat recovery systems</subject><subject>Mathematical models</subject><subject>Mathematical programming</subject><subject>Operating costs</subject><subject>Operations research</subject><subject>Process engineering</subject><subject>Studies</subject><subject>Uncertainty</subject><issn>0254-5330</issn><issn>1572-9338</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpFkF1PwjAYhRujiYj-h4b7zX6uHfEGcIgJQmL0uunG2wlCh-2I8O8FMfHcnJsn5yQPQj1KUkoYvx_2B7P5a0pOEZJplTIumUqluEAdKhVLcs71JeoQJkUiOSfX6CbG1RGnVMsOehivYb8s14ALD6E-4BfrbQ0b8C22foEnYFtc7KsP62sIeAbtdxM-8SPEZe1v0ZWz6wh3f91F7-PibTRJpvOn59FgmlRM6zbRlFoiHSuZZcIpC9LRrJLWCSZKq1RGiaaZg9xlbKGJ4PkiU0ByWiqmuKS8i3rn3W1ovnYQW7NqdsEfLw2jQhKVEX6E-meoCk2MAZzZhuXGhoOhxJxkmaE5yTL_ssyvLCMF_wEZB1vM</recordid><startdate>200411</startdate><enddate>200411</enddate><creator>Tantimuratha, L.</creator><creator>Kokossis, A.C.</creator><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TA</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M0N</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>200411</creationdate><title>Flexible Energy Management and Heat Exchanger Network Design</title><author>Tantimuratha, L. ; Kokossis, A.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c288t-811a05f2b2a24f7ae5f16c5af424ba77610816fe9f62d80439d67e091b7273513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Capital costs</topic><topic>Cold</topic><topic>Design</topic><topic>Economics</topic><topic>Energy industry</topic><topic>Energy management</topic><topic>Flexibility</topic><topic>Heat exchangers</topic><topic>Heat recovery systems</topic><topic>Mathematical models</topic><topic>Mathematical programming</topic><topic>Operating costs</topic><topic>Operations research</topic><topic>Process engineering</topic><topic>Studies</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tantimuratha, L.</creatorcontrib><creatorcontrib>Kokossis, A.C.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Annals of operations research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tantimuratha, L.</au><au>Kokossis, A.C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flexible Energy Management and Heat Exchanger Network Design</atitle><jtitle>Annals of operations research</jtitle><date>2004-11</date><risdate>2004</risdate><volume>132</volume><issue>1-4</issue><spage>277</spage><epage>300</epage><pages>277-300</pages><issn>0254-5330</issn><eissn>1572-9338</eissn><abstract>The design of heat exchanger networks (HEN) is a well-studied problem in process synthesis and an ideal test base to benchmark methods and techniques in the field. Despite a significant number of relevant publications, networks are still designed under assumptions of fixed operating conditions. Significant variations in supply and demand, alongside a need for efficient management in energy markets (energy grids, deregulated markets), impose limitations to this practice. Networks, designed with thermodynamic and economic efficiency under nominal operation, are known to have their efficiency dissipated and wasted in a context of similar though different conditions and demands. In a process plant, operational changes are common but designers still favor the staged approach of Pinch Technology (i.e., targeting-network development) where flexibility is not addressed properly and systematically. Alternatively, superstructure methods offer formulations with complexities hard to address by conventional algorithms. In this work, flexibility is addressed in a context amenable to targeting and network development stages, offering opportunities to visualise solutions and review options. For targeting, a dual approach is proposed that follows the framework of Hypertargets by Briones and Kokossis (1999a, 1999b, 1999c). The conceptual screening involves (i) the selection of cost-effective (primal) matches, and (ii) a model-based approach to assess the flexibility of the design options. Models and procedures are employed to assess trade-offs between operating cost (energy), capital cost (area), and the options' ability to handle variations (flexibility). Primal matches are automatically developed into network configurations with the use of mathematical models. A rigorous, superstructure-based approach is next applied to ensure the development of networks capable of handling operational variations without a need to consider exhaustive combinations of scenarios. The iterative approach incrementally augments the mathematical formulation by constraints and vertex conditions that guarantee consistency. The procedure is illustrated with two industrial problems and reports important improvements over conventional techniques. [PUBLICATION ABSTRACT]</abstract><cop>New York</cop><pub>Springer Nature B.V</pub><doi>10.1023/B:ANOR.0000045287.23527.54</doi><tpages>24</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0254-5330 |
ispartof | Annals of operations research, 2004-11, Vol.132 (1-4), p.277-300 |
issn | 0254-5330 1572-9338 |
language | eng |
recordid | cdi_proquest_journals_214507603 |
source | Business Source Complete; SpringerLink Journals - AutoHoldings |
subjects | Capital costs Cold Design Economics Energy industry Energy management Flexibility Heat exchangers Heat recovery systems Mathematical models Mathematical programming Operating costs Operations research Process engineering Studies Uncertainty |
title | Flexible Energy Management and Heat Exchanger Network Design |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T04%3A01%3A06IST&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=Flexible%20Energy%20Management%20and%20Heat%20Exchanger%20Network%20Design&rft.jtitle=Annals%20of%20operations%20research&rft.au=Tantimuratha,%20L.&rft.date=2004-11&rft.volume=132&rft.issue=1-4&rft.spage=277&rft.epage=300&rft.pages=277-300&rft.issn=0254-5330&rft.eissn=1572-9338&rft_id=info:doi/10.1023/B:ANOR.0000045287.23527.54&rft_dat=%3Cproquest_cross%3E724523181%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=214507603&rft_id=info:pmid/&rfr_iscdi=true |