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dc.creatorMores, Patricia Liliana
dc.creatorGodoy, Ezequiel
dc.creatorMussati, Sergio Fabián
dc.creatorScenna, Nicolás José
dc.date.accessioned2017-06-08T13:43:55Z
dc.date.available2017-06-08T13:43:55Z
dc.date.issued2013-11-13
dc.identifier.citationA NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation/capture goals, Chemical Engineering Research and Design 92: 1329-1353 (2014).es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12272/1516
dc.description.abstractFossil fuel power plants are one of the major sources of electricity generation, although invariably release greenhouse gases. Due to international treaties and countries regulations, CO2emissions reduction is increasingly becoming key in the generators’ economics. NGCC power plants constitute a widely used generation technology, from which CO2capture through a post-combustion and MEA absorption option constitutes a technological challenge due to the low concentration of pollutants in the flue gas and the high energy requirements of the sequestration process. In the present work, a rigorous optimization model is developed to address the design and operation of power plants coupled to capture systems. The equations-oriented modeling strategy here utilized can address greenfield designs in which design and operating variables are simultaneously optimized, in order to ensure that the system will be able to meet process requirements at minimum cost. Then, an analysis of the electricity cost, CO2avoidancecost, energy penalties, as well as the optimal values of decision variables is thoroughly pursued. Different economic tradeoffs are comprised at the optimal solutions for the joint project, as given by the different discrete and continuous decisions that the designer needs to weight in order to achieve the desired generation and capture goals, including the number of parallel capture trains, the inherent efficiency of each recovery unit, and the overall emissions reduction rate. In this context, the joint optimization of the NGCC power plant with the amine-based capture option results in a novel configuration where 731 MW are optimally generated for supplying both the external demand and the capture plant energy requirements, and achieving an overall CO2emissions reduction rate of 82.1% by means of a three capture trains arrangement, where 13.4% of the flue gas stream is bypassed and 94.8% of the CO2gets recovered at each unit. This new generation/capture project features optimal values of its economic performance indicators, with an avoidance cost of 81.7 US$ per tonne of CO2 captured, which can Ministerio de Educación y Deportes Universidad Tecnológica Nacional Facultad Regional Rosario Universidad Tecnológica Nacional – Facultad Regional Rosario Zeballos 1341, Rosario, Santa Fe, Argentina only be secured by simultaneously optimizing the design and operating variables of both systems on a start-of-the-art optimization algorithm.es_ES
dc.formatapplication/pdf
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationhttp://dx.doi.org/10.1016/j.cherd.2013.11.013es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectUTNes_ES
dc.subjectFRRoes_ES
dc.subjectCAIMIes_ES
dc.subjectnatural gas combined cycle power plantes_ES
dc.subjectpost-combustion CO2 capture systemes_ES
dc.subjecteconomic optimizationes_ES
dc.subjectgreenfield designes_ES
dc.subjectequations-oriented optimizationes_ES
dc.subjectcoupled plant designes_ES
dc.titleA NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation/capture goalses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderElsevieres_ES
dc.description.affiliationFil: Mores, Patricia Liliana. UTN. FRRo. CAIMI; Argentinaes_ES
dc.description.affiliationFil: Godoy, Ezequiel. UTN. FRRo. CAIMI; Argentinaes_ES
dc.description.affiliationFil: Mussati, Sergio Fabián. UTN. FRRo. CAIMI; Argentina - CONICET. INGAR; Argentinaes_ES
dc.description.affiliationFil: Scenna, Nicolás José. UTN. FRRo. CAIMI; Argentinaes_ES
dc.description.peerreviewedPeer Reviewedes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.type.snrdinfo:ar-repo/semantics/artículoes_ES
dc.rights.useAtribución – No Comercial – Sin Obra Derivada (by-nc-nd): No se permite un uso comercial de la obra original ni la generación de obras derivadas. Esta licencia no es una licencia libre, y es la más cercana al derecho de autor tradicional. https://creativecommons.org/licenses/by-nc-nd/4.0/deed.eses_ES
dc.rights.useAttribution-NonCommercial-NoDerivatives 4.0 Internacional*


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