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CO2 mitigation for a network of power plants using mathematical programming

This paper presents a case study focusing on the structural optimization of Ontario power generation, OPG’s fleet of power plants to meet a given CO2 reduction target by minimizing the cost of electricity (COE). The optimization takes into account the possible implementation of carbon capture and...

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Main Authors: Hashim, Haslenda, Douglas, Peter, Croiset, Eric, Elkamel, Ali
Format: Conference or Workshop Item
Language:English
Published: 2006
Subjects:
TP Chemical technology
Online Access:http://eprints.utm.my/id/eprint/266/1/HaslendaHashim2006_Co2mitigationforanetwork.pdf
http://eprints.utm.my/id/eprint/266/
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spelling my.utm.2662017-08-23T07:56:04Z http://eprints.utm.my/id/eprint/266/ CO2 mitigation for a network of power plants using mathematical programming Hashim, Haslenda Douglas, Peter Croiset, Eric Elkamel, Ali TP Chemical technology This paper presents a case study focusing on the structural optimization of Ontario power generation, OPG’s fleet of power plants to meet a given CO2 reduction target by minimizing the cost of electricity (COE). The optimization takes into account the possible implementation of carbon capture and storage (CCS) and the possibility of constructing new power plants, with or without CCS, to maintain or increase electricity to the grid depending on the growth in electricity demand. The model is formulated as mixed integer non linear programme (MINLP) and implemented in GAMS (general algebraic modeling system). Exact linearization techniques were employed to facilitate solution development. Three mitigation options were considered in this study: fuel balancing (optimal adjustment of the operation of existing generating stations to reduce CO2 emissions without making structural changes to the fleet), fuel switching (switching from carbon intensive fuel to less carbon intensive fuel, e.g. Coal to natural gas) and retrofitting ccs on existing coal fired power plants. Both, fuel switching and retrofitting ccs involve structural changes on the existing fleet. The computer programme is capable of determining the best mix of fuel, annual capacity factor for existing power plants, location and size of CO2 capture process and finally, construction of new state-of-the-art power plants, such as supercritical pulverized coal (PC), integrated gas combined cycle (IGCC) or natural gas combined cycle (NGCC) with and without CCS. 2006-07 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/266/1/HaslendaHashim2006_Co2mitigationforanetwork.pdf Hashim, Haslenda and Douglas, Peter and Croiset, Eric and Elkamel, Ali (2006) CO2 mitigation for a network of power plants using mathematical programming. In: 1st International Conference on Natural Resources Engineering & Technology 2006, 24-25th July 2006, Putrajaya, Malaysia.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Hashim, Haslenda
Douglas, Peter
Croiset, Eric
Elkamel, Ali
CO2 mitigation for a network of power plants using mathematical programming
description This paper presents a case study focusing on the structural optimization of Ontario power generation, OPG’s fleet of power plants to meet a given CO2 reduction target by minimizing the cost of electricity (COE). The optimization takes into account the possible implementation of carbon capture and storage (CCS) and the possibility of constructing new power plants, with or without CCS, to maintain or increase electricity to the grid depending on the growth in electricity demand. The model is formulated as mixed integer non linear programme (MINLP) and implemented in GAMS (general algebraic modeling system). Exact linearization techniques were employed to facilitate solution development. Three mitigation options were considered in this study: fuel balancing (optimal adjustment of the operation of existing generating stations to reduce CO2 emissions without making structural changes to the fleet), fuel switching (switching from carbon intensive fuel to less carbon intensive fuel, e.g. Coal to natural gas) and retrofitting ccs on existing coal fired power plants. Both, fuel switching and retrofitting ccs involve structural changes on the existing fleet. The computer programme is capable of determining the best mix of fuel, annual capacity factor for existing power plants, location and size of CO2 capture process and finally, construction of new state-of-the-art power plants, such as supercritical pulverized coal (PC), integrated gas combined cycle (IGCC) or natural gas combined cycle (NGCC) with and without CCS.
format Conference or Workshop Item
author Hashim, Haslenda
Douglas, Peter
Croiset, Eric
Elkamel, Ali
author_facet Hashim, Haslenda
Douglas, Peter
Croiset, Eric
Elkamel, Ali
author_sort Hashim, Haslenda
title CO2 mitigation for a network of power plants using mathematical programming
title_short CO2 mitigation for a network of power plants using mathematical programming
title_full CO2 mitigation for a network of power plants using mathematical programming
title_fullStr CO2 mitigation for a network of power plants using mathematical programming
title_full_unstemmed CO2 mitigation for a network of power plants using mathematical programming
title_sort co2 mitigation for a network of power plants using mathematical programming
publishDate 2006
url http://eprints.utm.my/id/eprint/266/1/HaslendaHashim2006_Co2mitigationforanetwork.pdf
http://eprints.utm.my/id/eprint/266/
_version_ 1643643057614094336
score 13.244414

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