Optimization of energy usage for fleet-wide power generating system under carbon mitigation options

This article presents a fleet-wide model for energy planning that can be used to determine the optimal structure necessary to meet a given CO₂ reduction target while maintaining or enhancing power to the grid. The model incorporates power generation as well as CO₂ emissions from a fleet of generatin...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:AIChE journal 2009-12, Vol.55 (12), p.3168-3190
Hauptverfasser: Elkamel, A, Hashim, H, Douglas, P.L, Croiset, E
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 3190
container_issue 12
container_start_page 3168
container_title AIChE journal
container_volume 55
creator Elkamel, A
Hashim, H
Douglas, P.L
Croiset, E
description This article presents a fleet-wide model for energy planning that can be used to determine the optimal structure necessary to meet a given CO₂ reduction target while maintaining or enhancing power to the grid. The model incorporates power generation as well as CO₂ emissions from a fleet of generating stations (hydroelectric, fossil fuel, nuclear, and wind). The model is formulated as a mixed integer program and is used to optimize an existing fleet as well as recommend new additional generating stations, carbon capture and storage, and retrofit actions to meet a CO₂ reduction target and electricity demand at a minimum overall cost. The model was applied to the energy supply system operated by Ontario power generation (OPG) for the province of Ontario, Canada. In 2002, OPG operated 79 electricity generating stations; 5 are fueled with coal (with a total of 23 boilers), 1 by natural gas (4 boilers), 3 nuclear, 69 hydroelectric and 1 wind turbine generating a total of 115.8 TWh. No CO₂ capture process existed at any OPG power plant; about 36.7 million tonnes of CO₂ was emitted in 2002, mainly from fossil fuel power plants. Four electricity demand scenarios were considered over a span of 10 years and for each case the size of new power generation capacity with and without capture was obtained. Six supplemental electricity generating technologies have been allowed for: subcritical pulverized coal-fired (PC), PC with carbon capture (PC+CCS), integrated gasification combined cycle (IGCC), IGCC with carbon capture (IGCC+CCS), natural gas combined cycle (NGCC), and NGCC with carbon capture (NGCC+CCS). The optimization results showed that fuel balancing alone can contribute to the reduction of CO₂ emissions by only 3% and a slight, 1.6%, reduction in the cost of electricity compared to a calculated base case. It was found that a 20% CO₂ reduction at current electricity demand could be achieved by implementing fuel balancing and switching 8 out of 23 coal-fired boilers to natural gas. However, as demand increases, more coal-fired boilers needed to be switched to natural gas as well as the building of new NGCC and NGCC+CCS for replacing the aging coal-fired power plants. To achieve a 40% CO₂ reduction at 1.0% demand growth rate, four new plants (2 NGCC, 2 NGCC+CCS) as well as carbon capture processes needed to be built. If greater than 60% CO₂ reductions are required, NGCC, NGCC+CCS, and IGCC+CCS power plants needed to be put online in addition to carbon capture proce
doi_str_mv 10.1002/aic.11835
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_743734003</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1900107241</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5235-5dd5124f0a6cca577c01544a03ddc69d29230211973bfee65ec61f5442aa15833</originalsourceid><addsrcrecordid>eNp1kE1v1DAQhiMEEkvLgV-AhYQQh7Qz_og3x2pVSlHVCkHF0XIdO3JJ4mAnWpZfj5dse0DqaTSj5300eoviDcIJAtBT7c0J4pqJZ8UKBZelqEE8L1YAgGU-4MviVUr3eaNyTVeFuRkn3_s_evJhIMERO9jY7sicdGuJC5G4ztqp3PrGkjFsbSTtHsn80JK0S5PtyTw0-W50vMuO3k--PejG_UjHxQunu2RfH-ZRcfvp_Pvmc3l1c3G5ObsqjaBMlKJpBFLuQFfGaCGlgfww18CaxlR1Q2vKgCLWkt05aythTYUuE1RrFGvGjooPi3eM4dds06R6n4ztOj3YMCclOZOMA-zJd_-R92GOQ35OYV1z4AxEhj4ukIkhpWidGqPvddwpBLUvW-Wy1b-yM_v-INTJ6M5FPRifHgOU4poLWmXudOG2vrO7p4Xq7HLzYC6XhM9V_35M6PhTVZJJoX5cXyj5teaIX1DVmX-78E4HpduYv7j9RgEZoISq4pL9BVyxpTk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>199404305</pqid></control><display><type>article</type><title>Optimization of energy usage for fleet-wide power generating system under carbon mitigation options</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Elkamel, A ; Hashim, H ; Douglas, P.L ; Croiset, E</creator><creatorcontrib>Elkamel, A ; Hashim, H ; Douglas, P.L ; Croiset, E</creatorcontrib><description>This article presents a fleet-wide model for energy planning that can be used to determine the optimal structure necessary to meet a given CO₂ reduction target while maintaining or enhancing power to the grid. The model incorporates power generation as well as CO₂ emissions from a fleet of generating stations (hydroelectric, fossil fuel, nuclear, and wind). The model is formulated as a mixed integer program and is used to optimize an existing fleet as well as recommend new additional generating stations, carbon capture and storage, and retrofit actions to meet a CO₂ reduction target and electricity demand at a minimum overall cost. The model was applied to the energy supply system operated by Ontario power generation (OPG) for the province of Ontario, Canada. In 2002, OPG operated 79 electricity generating stations; 5 are fueled with coal (with a total of 23 boilers), 1 by natural gas (4 boilers), 3 nuclear, 69 hydroelectric and 1 wind turbine generating a total of 115.8 TWh. No CO₂ capture process existed at any OPG power plant; about 36.7 million tonnes of CO₂ was emitted in 2002, mainly from fossil fuel power plants. Four electricity demand scenarios were considered over a span of 10 years and for each case the size of new power generation capacity with and without capture was obtained. Six supplemental electricity generating technologies have been allowed for: subcritical pulverized coal-fired (PC), PC with carbon capture (PC+CCS), integrated gasification combined cycle (IGCC), IGCC with carbon capture (IGCC+CCS), natural gas combined cycle (NGCC), and NGCC with carbon capture (NGCC+CCS). The optimization results showed that fuel balancing alone can contribute to the reduction of CO₂ emissions by only 3% and a slight, 1.6%, reduction in the cost of electricity compared to a calculated base case. It was found that a 20% CO₂ reduction at current electricity demand could be achieved by implementing fuel balancing and switching 8 out of 23 coal-fired boilers to natural gas. However, as demand increases, more coal-fired boilers needed to be switched to natural gas as well as the building of new NGCC and NGCC+CCS for replacing the aging coal-fired power plants. To achieve a 40% CO₂ reduction at 1.0% demand growth rate, four new plants (2 NGCC, 2 NGCC+CCS) as well as carbon capture processes needed to be built. If greater than 60% CO₂ reductions are required, NGCC, NGCC+CCS, and IGCC+CCS power plants needed to be put online in addition to carbon capture processes on coal-fired power plants. The volatility of natural gas prices was found to have a significant impact on the optimal CO₂ mitigation strategy and on the cost of electricity generation. Increasing the natural gas prices resulted in early aggressive CO₂ mitigation strategies especially at higher growth rate demands. © 2009 American Institute of Chemical Engineers AIChE J, 2009</description><identifier>ISSN: 0001-1541</identifier><identifier>EISSN: 1547-5905</identifier><identifier>DOI: 10.1002/aic.11835</identifier><identifier>CODEN: AICEAC</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Applied sciences ; Boilers ; Carbon dioxide ; Carbon sequestration ; Chemical engineering ; Electric power plants ; Electricity generation ; Energy ; Energy. Thermal use of fuels ; environmental engineering ; Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc ; Exact sciences and technology ; green engineering ; Integer programming ; mathematical modeling ; optimization ; Optimization techniques</subject><ispartof>AIChE journal, 2009-12, Vol.55 (12), p.3168-3190</ispartof><rights>Copyright © 2009 American Institute of Chemical Engineers (AIChE)</rights><rights>2015 INIST-CNRS</rights><rights>Copyright American Institute of Chemical Engineers Dec 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5235-5dd5124f0a6cca577c01544a03ddc69d29230211973bfee65ec61f5442aa15833</citedby><cites>FETCH-LOGICAL-c5235-5dd5124f0a6cca577c01544a03ddc69d29230211973bfee65ec61f5442aa15833</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Faic.11835$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Faic.11835$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,27905,27906,45555,45556</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=22184526$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Elkamel, A</creatorcontrib><creatorcontrib>Hashim, H</creatorcontrib><creatorcontrib>Douglas, P.L</creatorcontrib><creatorcontrib>Croiset, E</creatorcontrib><title>Optimization of energy usage for fleet-wide power generating system under carbon mitigation options</title><title>AIChE journal</title><addtitle>AIChE J</addtitle><description>This article presents a fleet-wide model for energy planning that can be used to determine the optimal structure necessary to meet a given CO₂ reduction target while maintaining or enhancing power to the grid. The model incorporates power generation as well as CO₂ emissions from a fleet of generating stations (hydroelectric, fossil fuel, nuclear, and wind). The model is formulated as a mixed integer program and is used to optimize an existing fleet as well as recommend new additional generating stations, carbon capture and storage, and retrofit actions to meet a CO₂ reduction target and electricity demand at a minimum overall cost. The model was applied to the energy supply system operated by Ontario power generation (OPG) for the province of Ontario, Canada. In 2002, OPG operated 79 electricity generating stations; 5 are fueled with coal (with a total of 23 boilers), 1 by natural gas (4 boilers), 3 nuclear, 69 hydroelectric and 1 wind turbine generating a total of 115.8 TWh. No CO₂ capture process existed at any OPG power plant; about 36.7 million tonnes of CO₂ was emitted in 2002, mainly from fossil fuel power plants. Four electricity demand scenarios were considered over a span of 10 years and for each case the size of new power generation capacity with and without capture was obtained. Six supplemental electricity generating technologies have been allowed for: subcritical pulverized coal-fired (PC), PC with carbon capture (PC+CCS), integrated gasification combined cycle (IGCC), IGCC with carbon capture (IGCC+CCS), natural gas combined cycle (NGCC), and NGCC with carbon capture (NGCC+CCS). The optimization results showed that fuel balancing alone can contribute to the reduction of CO₂ emissions by only 3% and a slight, 1.6%, reduction in the cost of electricity compared to a calculated base case. It was found that a 20% CO₂ reduction at current electricity demand could be achieved by implementing fuel balancing and switching 8 out of 23 coal-fired boilers to natural gas. However, as demand increases, more coal-fired boilers needed to be switched to natural gas as well as the building of new NGCC and NGCC+CCS for replacing the aging coal-fired power plants. To achieve a 40% CO₂ reduction at 1.0% demand growth rate, four new plants (2 NGCC, 2 NGCC+CCS) as well as carbon capture processes needed to be built. If greater than 60% CO₂ reductions are required, NGCC, NGCC+CCS, and IGCC+CCS power plants needed to be put online in addition to carbon capture processes on coal-fired power plants. The volatility of natural gas prices was found to have a significant impact on the optimal CO₂ mitigation strategy and on the cost of electricity generation. Increasing the natural gas prices resulted in early aggressive CO₂ mitigation strategies especially at higher growth rate demands. © 2009 American Institute of Chemical Engineers AIChE J, 2009</description><subject>Applied sciences</subject><subject>Boilers</subject><subject>Carbon dioxide</subject><subject>Carbon sequestration</subject><subject>Chemical engineering</subject><subject>Electric power plants</subject><subject>Electricity generation</subject><subject>Energy</subject><subject>Energy. Thermal use of fuels</subject><subject>environmental engineering</subject><subject>Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc</subject><subject>Exact sciences and technology</subject><subject>green engineering</subject><subject>Integer programming</subject><subject>mathematical modeling</subject><subject>optimization</subject><subject>Optimization techniques</subject><issn>0001-1541</issn><issn>1547-5905</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp1kE1v1DAQhiMEEkvLgV-AhYQQh7Qz_og3x2pVSlHVCkHF0XIdO3JJ4mAnWpZfj5dse0DqaTSj5300eoviDcIJAtBT7c0J4pqJZ8UKBZelqEE8L1YAgGU-4MviVUr3eaNyTVeFuRkn3_s_evJhIMERO9jY7sicdGuJC5G4ztqp3PrGkjFsbSTtHsn80JK0S5PtyTw0-W50vMuO3k--PejG_UjHxQunu2RfH-ZRcfvp_Pvmc3l1c3G5ObsqjaBMlKJpBFLuQFfGaCGlgfww18CaxlR1Q2vKgCLWkt05aythTYUuE1RrFGvGjooPi3eM4dds06R6n4ztOj3YMCclOZOMA-zJd_-R92GOQ35OYV1z4AxEhj4ukIkhpWidGqPvddwpBLUvW-Wy1b-yM_v-INTJ6M5FPRifHgOU4poLWmXudOG2vrO7p4Xq7HLzYC6XhM9V_35M6PhTVZJJoX5cXyj5teaIX1DVmX-78E4HpduYv7j9RgEZoISq4pL9BVyxpTk</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Elkamel, A</creator><creator>Hashim, H</creator><creator>Douglas, P.L</creator><creator>Croiset, E</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Wiley</general><general>American Institute of Chemical Engineers</general><scope>FBQ</scope><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7U5</scope><scope>8FD</scope><scope>C1K</scope><scope>L7M</scope><scope>SOI</scope></search><sort><creationdate>200912</creationdate><title>Optimization of energy usage for fleet-wide power generating system under carbon mitigation options</title><author>Elkamel, A ; Hashim, H ; Douglas, P.L ; Croiset, E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5235-5dd5124f0a6cca577c01544a03ddc69d29230211973bfee65ec61f5442aa15833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Applied sciences</topic><topic>Boilers</topic><topic>Carbon dioxide</topic><topic>Carbon sequestration</topic><topic>Chemical engineering</topic><topic>Electric power plants</topic><topic>Electricity generation</topic><topic>Energy</topic><topic>Energy. Thermal use of fuels</topic><topic>environmental engineering</topic><topic>Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc</topic><topic>Exact sciences and technology</topic><topic>green engineering</topic><topic>Integer programming</topic><topic>mathematical modeling</topic><topic>optimization</topic><topic>Optimization techniques</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Elkamel, A</creatorcontrib><creatorcontrib>Hashim, H</creatorcontrib><creatorcontrib>Douglas, P.L</creatorcontrib><creatorcontrib>Croiset, E</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>AIChE journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Elkamel, A</au><au>Hashim, H</au><au>Douglas, P.L</au><au>Croiset, E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of energy usage for fleet-wide power generating system under carbon mitigation options</atitle><jtitle>AIChE journal</jtitle><addtitle>AIChE J</addtitle><date>2009-12</date><risdate>2009</risdate><volume>55</volume><issue>12</issue><spage>3168</spage><epage>3190</epage><pages>3168-3190</pages><issn>0001-1541</issn><eissn>1547-5905</eissn><coden>AICEAC</coden><abstract>This article presents a fleet-wide model for energy planning that can be used to determine the optimal structure necessary to meet a given CO₂ reduction target while maintaining or enhancing power to the grid. The model incorporates power generation as well as CO₂ emissions from a fleet of generating stations (hydroelectric, fossil fuel, nuclear, and wind). The model is formulated as a mixed integer program and is used to optimize an existing fleet as well as recommend new additional generating stations, carbon capture and storage, and retrofit actions to meet a CO₂ reduction target and electricity demand at a minimum overall cost. The model was applied to the energy supply system operated by Ontario power generation (OPG) for the province of Ontario, Canada. In 2002, OPG operated 79 electricity generating stations; 5 are fueled with coal (with a total of 23 boilers), 1 by natural gas (4 boilers), 3 nuclear, 69 hydroelectric and 1 wind turbine generating a total of 115.8 TWh. No CO₂ capture process existed at any OPG power plant; about 36.7 million tonnes of CO₂ was emitted in 2002, mainly from fossil fuel power plants. Four electricity demand scenarios were considered over a span of 10 years and for each case the size of new power generation capacity with and without capture was obtained. Six supplemental electricity generating technologies have been allowed for: subcritical pulverized coal-fired (PC), PC with carbon capture (PC+CCS), integrated gasification combined cycle (IGCC), IGCC with carbon capture (IGCC+CCS), natural gas combined cycle (NGCC), and NGCC with carbon capture (NGCC+CCS). The optimization results showed that fuel balancing alone can contribute to the reduction of CO₂ emissions by only 3% and a slight, 1.6%, reduction in the cost of electricity compared to a calculated base case. It was found that a 20% CO₂ reduction at current electricity demand could be achieved by implementing fuel balancing and switching 8 out of 23 coal-fired boilers to natural gas. However, as demand increases, more coal-fired boilers needed to be switched to natural gas as well as the building of new NGCC and NGCC+CCS for replacing the aging coal-fired power plants. To achieve a 40% CO₂ reduction at 1.0% demand growth rate, four new plants (2 NGCC, 2 NGCC+CCS) as well as carbon capture processes needed to be built. If greater than 60% CO₂ reductions are required, NGCC, NGCC+CCS, and IGCC+CCS power plants needed to be put online in addition to carbon capture processes on coal-fired power plants. The volatility of natural gas prices was found to have a significant impact on the optimal CO₂ mitigation strategy and on the cost of electricity generation. Increasing the natural gas prices resulted in early aggressive CO₂ mitigation strategies especially at higher growth rate demands. © 2009 American Institute of Chemical Engineers AIChE J, 2009</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><doi>10.1002/aic.11835</doi><tpages>23</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0001-1541
ispartof AIChE journal, 2009-12, Vol.55 (12), p.3168-3190
issn 0001-1541
1547-5905
language eng
recordid cdi_proquest_miscellaneous_743734003
source Wiley Online Library Journals Frontfile Complete
subjects Applied sciences
Boilers
Carbon dioxide
Carbon sequestration
Chemical engineering
Electric power plants
Electricity generation
Energy
Energy. Thermal use of fuels
environmental engineering
Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc
Exact sciences and technology
green engineering
Integer programming
mathematical modeling
optimization
Optimization techniques
title Optimization of energy usage for fleet-wide power generating system under carbon mitigation options
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T23%3A42%3A30IST&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=Optimization%20of%20energy%20usage%20for%20fleet-wide%20power%20generating%20system%20under%20carbon%20mitigation%20options&rft.jtitle=AIChE%20journal&rft.au=Elkamel,%20A&rft.date=2009-12&rft.volume=55&rft.issue=12&rft.spage=3168&rft.epage=3190&rft.pages=3168-3190&rft.issn=0001-1541&rft.eissn=1547-5905&rft.coden=AICEAC&rft_id=info:doi/10.1002/aic.11835&rft_dat=%3Cproquest_cross%3E1900107241%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=199404305&rft_id=info:pmid/&rfr_iscdi=true