Work and heat exchange network synthesis considering multiple electricity-related scenarios
Work and heat integration has emerged in the last decade as a promising area with a wide scope for research. Under that relatively new field, the synthesis of work and heat exchange networks (WHEN) is certainly an encouraging subject. This work presents a method for WHEN synthesis considering some a...
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Veröffentlicht in: | Energy (Oxford) 2019-09, Vol.182, p.932-953 |
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description | Work and heat integration has emerged in the last decade as a promising area with a wide scope for research. Under that relatively new field, the synthesis of work and heat exchange networks (WHEN) is certainly an encouraging subject. This work presents a method for WHEN synthesis considering some aspects that were not approached in previous literature. Multiple electricity cost scenarios are considered and analyzed in the synthesis task. These are proposed according to different electricity production regimes, which are used by suppliers due to eventual changes in electricity production conditions (e.g., low level in hydroelectric power plants reservoirs). Evidently, monthly electricity prices are affected under such regimes. In the model, multiple utilities use is possible. Utilities can be modelled as regular process streams (instead of the typical approach of fixed inlet/outlet temperatures in heaters/coolers). The model also comprises the use of piecewise linear approximations for enthalpy/temperature calculations. The solution approach is an enhanced meta-heuristic method. It could be observed that considering an intermediate electricity cost scenario (between optimistic and pessimistic predictions) for the WHEN synthesis stage may lead to smaller monetary losses in case of occurrence of other scenarios.
•A new model for the synthesis of work and heat exchange networks is presented.•It considers multiple utilities and multiple scenarios for electricity costs.•In the model, utilities can be treated as regular process streams.•The model is solved via a meta-heuristic approach.•Different electricity-related scenarios led to important differences in solutions. |
doi_str_mv | 10.1016/j.energy.2019.06.079 |
format | Article |
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•A new model for the synthesis of work and heat exchange networks is presented.•It considers multiple utilities and multiple scenarios for electricity costs.•In the model, utilities can be treated as regular process streams.•The model is solved via a meta-heuristic approach.•Different electricity-related scenarios led to important differences in solutions.</description><identifier>ISSN: 0360-5442</identifier><identifier>EISSN: 1873-6785</identifier><identifier>DOI: 10.1016/j.energy.2019.06.079</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Coolers ; Cost analysis ; Electric power generation ; Electricity ; Electricity costs ; Electricity pricing ; Enthalpy ; Heat ; Heat exchange ; Heat transfer ; Heuristic methods ; Hydroelectric plants ; Hydroelectric power ; Low level ; Meta-heuristics ; Multiple utilities ; Network synthesis ; Optimization ; Power plants ; Process synthesis ; Utilities ; Work and heat exchange networks</subject><ispartof>Energy (Oxford), 2019-09, Vol.182, p.932-953</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier BV Sep 1, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-49596694ca3cc2ca6a6e479c0a43856bf0ffd880f507256f840fa4a132cf9b4c3</citedby><cites>FETCH-LOGICAL-c371t-49596694ca3cc2ca6a6e479c0a43856bf0ffd880f507256f840fa4a132cf9b4c3</cites><orcidid>0000-0002-2151-1534 ; 0000-0003-2101-6004</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.energy.2019.06.079$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Pavão, Leandro V.</creatorcontrib><creatorcontrib>Costa, Caliane B.B.</creatorcontrib><creatorcontrib>Ravagnani, Mauro A.S.S.</creatorcontrib><title>Work and heat exchange network synthesis considering multiple electricity-related scenarios</title><title>Energy (Oxford)</title><description>Work and heat integration has emerged in the last decade as a promising area with a wide scope for research. Under that relatively new field, the synthesis of work and heat exchange networks (WHEN) is certainly an encouraging subject. This work presents a method for WHEN synthesis considering some aspects that were not approached in previous literature. Multiple electricity cost scenarios are considered and analyzed in the synthesis task. These are proposed according to different electricity production regimes, which are used by suppliers due to eventual changes in electricity production conditions (e.g., low level in hydroelectric power plants reservoirs). Evidently, monthly electricity prices are affected under such regimes. In the model, multiple utilities use is possible. Utilities can be modelled as regular process streams (instead of the typical approach of fixed inlet/outlet temperatures in heaters/coolers). The model also comprises the use of piecewise linear approximations for enthalpy/temperature calculations. The solution approach is an enhanced meta-heuristic method. It could be observed that considering an intermediate electricity cost scenario (between optimistic and pessimistic predictions) for the WHEN synthesis stage may lead to smaller monetary losses in case of occurrence of other scenarios.
•A new model for the synthesis of work and heat exchange networks is presented.•It considers multiple utilities and multiple scenarios for electricity costs.•In the model, utilities can be treated as regular process streams.•The model is solved via a meta-heuristic approach.•Different electricity-related scenarios led to important differences in solutions.</description><subject>Coolers</subject><subject>Cost analysis</subject><subject>Electric power generation</subject><subject>Electricity</subject><subject>Electricity costs</subject><subject>Electricity pricing</subject><subject>Enthalpy</subject><subject>Heat</subject><subject>Heat exchange</subject><subject>Heat transfer</subject><subject>Heuristic methods</subject><subject>Hydroelectric plants</subject><subject>Hydroelectric power</subject><subject>Low level</subject><subject>Meta-heuristics</subject><subject>Multiple utilities</subject><subject>Network synthesis</subject><subject>Optimization</subject><subject>Power plants</subject><subject>Process synthesis</subject><subject>Utilities</subject><subject>Work and heat exchange networks</subject><issn>0360-5442</issn><issn>1873-6785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kLtOwzAUhi0EEqXwBgyRmBOOE8eJFyRUcZMqsYAYGCzXOW4dUqfYLpC3J1WYmc7wX47-j5BLChkFyq_bDB369ZDlQEUGPINKHJEZrasi5VVdHpMZFBzSkrH8lJyF0AJAWQsxI-9vvf9IlGuSDaqY4I_eKLfGxGH8PihhcHGDwYZE9y7YBr1162S776LddZhghzp6q20cUo-ditgkQaNT3vbhnJwY1QW8-Ltz8np_97J4TJfPD0-L22Wqi4rGlIlScC6YVoXWuVZccWSV0KBYUZd8ZcCYpq7BlFDlJTc1A6OYokWujVgxXczJ1dS78_3nHkOUbb_3bnwp87wqqMhHHqOLTS7t-xA8Grnzdqv8ICnIA0bZygmjPGCUwOUUu5liOC74suhl0Badxsb6cbtsevt_wS_zEn9j</recordid><startdate>20190901</startdate><enddate>20190901</enddate><creator>Pavão, Leandro V.</creator><creator>Costa, Caliane B.B.</creator><creator>Ravagnani, Mauro A.S.S.</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><orcidid>https://orcid.org/0000-0002-2151-1534</orcidid><orcidid>https://orcid.org/0000-0003-2101-6004</orcidid></search><sort><creationdate>20190901</creationdate><title>Work and heat exchange network synthesis considering multiple electricity-related scenarios</title><author>Pavão, Leandro V. ; Costa, Caliane B.B. ; Ravagnani, Mauro A.S.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-49596694ca3cc2ca6a6e479c0a43856bf0ffd880f507256f840fa4a132cf9b4c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Coolers</topic><topic>Cost analysis</topic><topic>Electric power generation</topic><topic>Electricity</topic><topic>Electricity costs</topic><topic>Electricity pricing</topic><topic>Enthalpy</topic><topic>Heat</topic><topic>Heat exchange</topic><topic>Heat transfer</topic><topic>Heuristic methods</topic><topic>Hydroelectric plants</topic><topic>Hydroelectric power</topic><topic>Low level</topic><topic>Meta-heuristics</topic><topic>Multiple utilities</topic><topic>Network synthesis</topic><topic>Optimization</topic><topic>Power plants</topic><topic>Process synthesis</topic><topic>Utilities</topic><topic>Work and heat exchange networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pavão, Leandro V.</creatorcontrib><creatorcontrib>Costa, Caliane B.B.</creatorcontrib><creatorcontrib>Ravagnani, Mauro A.S.S.</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>Pavão, Leandro V.</au><au>Costa, Caliane B.B.</au><au>Ravagnani, Mauro A.S.S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Work and heat exchange network synthesis considering multiple electricity-related scenarios</atitle><jtitle>Energy (Oxford)</jtitle><date>2019-09-01</date><risdate>2019</risdate><volume>182</volume><spage>932</spage><epage>953</epage><pages>932-953</pages><issn>0360-5442</issn><eissn>1873-6785</eissn><abstract>Work and heat integration has emerged in the last decade as a promising area with a wide scope for research. Under that relatively new field, the synthesis of work and heat exchange networks (WHEN) is certainly an encouraging subject. This work presents a method for WHEN synthesis considering some aspects that were not approached in previous literature. Multiple electricity cost scenarios are considered and analyzed in the synthesis task. These are proposed according to different electricity production regimes, which are used by suppliers due to eventual changes in electricity production conditions (e.g., low level in hydroelectric power plants reservoirs). Evidently, monthly electricity prices are affected under such regimes. In the model, multiple utilities use is possible. Utilities can be modelled as regular process streams (instead of the typical approach of fixed inlet/outlet temperatures in heaters/coolers). The model also comprises the use of piecewise linear approximations for enthalpy/temperature calculations. The solution approach is an enhanced meta-heuristic method. It could be observed that considering an intermediate electricity cost scenario (between optimistic and pessimistic predictions) for the WHEN synthesis stage may lead to smaller monetary losses in case of occurrence of other scenarios.
•A new model for the synthesis of work and heat exchange networks is presented.•It considers multiple utilities and multiple scenarios for electricity costs.•In the model, utilities can be treated as regular process streams.•The model is solved via a meta-heuristic approach.•Different electricity-related scenarios led to important differences in solutions.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.energy.2019.06.079</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0002-2151-1534</orcidid><orcidid>https://orcid.org/0000-0003-2101-6004</orcidid></addata></record> |
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subjects | Coolers Cost analysis Electric power generation Electricity Electricity costs Electricity pricing Enthalpy Heat Heat exchange Heat transfer Heuristic methods Hydroelectric plants Hydroelectric power Low level Meta-heuristics Multiple utilities Network synthesis Optimization Power plants Process synthesis Utilities Work and heat exchange networks |
title | Work and heat exchange network synthesis considering multiple electricity-related scenarios |
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