An Extended MILP Model for Planning CCS Retrofit in Power Plant Fleets

Carbon capture and storage (CCS) is an important technology that can contribute to the reduction of greenhouse gas emissions. It involves the capture of CO2 from point sources such as power plants and subsequent storage in secure geological reservoirs. However, capture incurs parasitic power loss; t...

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Autores principales:	John Frederick D. Tapia, Lea Myka Española, Lhyra Zophiya Fernandez, Grace Emmanuelle Lontok, Leslie Genevieve Ong, Raymond R. Tan
Formato:	article
Lenguaje:	EN
Publicado:	AIDIC Servizi S.r.l. 2021
Materias:	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/c08a3ffce4d642729d29f295cf1eb9ee
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spelling	oai:doaj.org-article:c08a3ffce4d642729d29f295cf1eb9ee2021-11-15T21:48:13ZAn Extended MILP Model for Planning CCS Retrofit in Power Plant Fleets10.3303/CET21880902283-9216https://doaj.org/article/c08a3ffce4d642729d29f295cf1eb9ee2021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11883https://doaj.org/toc/2283-9216Carbon capture and storage (CCS) is an important technology that can contribute to the reduction of greenhouse gas emissions. It involves the capture of CO2 from point sources such as power plants and subsequent storage in secure geological reservoirs. However, capture incurs parasitic power loss; thus, compensatory power from clean sources such as renewables will be needed to make up for the power losses. The conventional capture process is designed for steady-state operation, but flexible capture is possible to offset the intermittency of renewable energy. Systematic planning for robust CCS systems is needed to incorporate flexible mechanisms in CO2 capture. In this study, a mixed integer linear program (MILP) is developed to robust CCS retrofit subject to operational adjustments for multiple periods or scenarios. Retrofit decisions include options for flexible and non-flexible capture, accounting for trade-offs between the two options. Operational adjustments pertain to decisions to switch off the flexible capture plants to compensate for depressed renewable energy supply. A case study is presented to demonstrate the optimization model. From the case study, flexible mechanism can provide a more robust planning, where low availabilities of renewable energy can contribute up to 18% of the power demand.John Frederick D. TapiaLea Myka EspañolaLhyra Zophiya FernandezGrace Emmanuelle LontokLeslie Genevieve OngRaymond R. TanAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
spellingShingle	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 John Frederick D. Tapia Lea Myka Española Lhyra Zophiya Fernandez Grace Emmanuelle Lontok Leslie Genevieve Ong Raymond R. Tan An Extended MILP Model for Planning CCS Retrofit in Power Plant Fleets
description	Carbon capture and storage (CCS) is an important technology that can contribute to the reduction of greenhouse gas emissions. It involves the capture of CO2 from point sources such as power plants and subsequent storage in secure geological reservoirs. However, capture incurs parasitic power loss; thus, compensatory power from clean sources such as renewables will be needed to make up for the power losses. The conventional capture process is designed for steady-state operation, but flexible capture is possible to offset the intermittency of renewable energy. Systematic planning for robust CCS systems is needed to incorporate flexible mechanisms in CO2 capture. In this study, a mixed integer linear program (MILP) is developed to robust CCS retrofit subject to operational adjustments for multiple periods or scenarios. Retrofit decisions include options for flexible and non-flexible capture, accounting for trade-offs between the two options. Operational adjustments pertain to decisions to switch off the flexible capture plants to compensate for depressed renewable energy supply. A case study is presented to demonstrate the optimization model. From the case study, flexible mechanism can provide a more robust planning, where low availabilities of renewable energy can contribute up to 18% of the power demand.
format	article
author	John Frederick D. Tapia Lea Myka Española Lhyra Zophiya Fernandez Grace Emmanuelle Lontok Leslie Genevieve Ong Raymond R. Tan
author_facet	John Frederick D. Tapia Lea Myka Española Lhyra Zophiya Fernandez Grace Emmanuelle Lontok Leslie Genevieve Ong Raymond R. Tan
author_sort	John Frederick D. Tapia
title	An Extended MILP Model for Planning CCS Retrofit in Power Plant Fleets
title_short	An Extended MILP Model for Planning CCS Retrofit in Power Plant Fleets
title_full	An Extended MILP Model for Planning CCS Retrofit in Power Plant Fleets
title_fullStr	An Extended MILP Model for Planning CCS Retrofit in Power Plant Fleets
title_full_unstemmed	An Extended MILP Model for Planning CCS Retrofit in Power Plant Fleets
title_sort	extended milp model for planning ccs retrofit in power plant fleets
publisher	AIDIC Servizi S.r.l.
publishDate	2021
url	https://doaj.org/article/c08a3ffce4d642729d29f295cf1eb9ee
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An Extended MILP Model for Planning CCS Retrofit in Power Plant Fleets

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