Thermoeconomic analysis of an array of two coupled endoreversible chemical engines

M. A. Barranco-Jiménez, A. Ocampo-García, F. Angulo-Brown

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Resumen

The thermoeconomic optimization of some engine models is a very useful tool to find their economically optimum conditions by means of the maximization of the profit function defined as a characteristic function (power output, ecological function and others) divided by the operating total costs. Thermoeconomic analysis has been applied to single endoreversible engine models such as thermal and chemical ones. In the present work, this kind of analysis is applied to the array of endoreversible thermal engines proposed by De Mey and De Vos in 1994 [J. Phys. D: Appl. Phys. 1994;27:736-739]. In this case, the behaviour of the profit function is analogous to that for simple endoreversible models. We also use the thermo-economic methodology to analyze the performance of an array of endoreversible chemical engines [Ocampo-García et al. Physica A 2017;488:149-161]. This analysis leads to similar results as those obtained for simple endoreversible models. This kind of thermoeconomic optimization of engines models is useful to proportionate general clues on the performance of actual engines.

Idioma originalInglés
Título de la publicación alojadaECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
EditorialUniversity of Minho
ISBN (versión digital)9789729959646
EstadoPublicada - 2018
Evento31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2018 - Guimaraes, Portugal
Duración: 17 jun. 201821 jun. 2018

Serie de la publicación

NombreECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems

Conferencia

Conferencia31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2018
País/TerritorioPortugal
CiudadGuimaraes
Período17/06/1821/06/18

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