A new approach to optimize the energy efficiency of CO2 transcritical refrigeration plants
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Otros documentos de la autoría: Peñarrocha-Alós, Ignacio; Llopis, Rodrigo; Tárrega Ruiz, Luis; Sánchez García-Vacas, Daniel; Cabello López, Ramón
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7034
comunitat-uji-handle3:10234/8619
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Título
A new approach to optimize the energy efficiency of CO2 transcritical refrigeration plantsAutoría
Fecha de publicación
2014-06Editor
ElsevierISSN
1359-4311Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.sciencedirect.com/science/article/pii/S1359431114001690Versión
info:eu-repo/semantics/sumittedVersionPalabras clave / Materias
Resumen
This paper proposes a model-free real-time optimization and control strategy for CO2 transcritical refrigeration plants that assures covering the cooling demand and continuous tracking of conditions for maximum ... [+]
This paper proposes a model-free real-time optimization and control strategy for CO2 transcritical refrigeration plants that assures covering the cooling demand and continuous tracking of conditions for maximum efficiency. Our approach obtains the feedback with only three measurements, and controls the opening degree of a backpressure valve and the speed of the compressor. The strategy minimizes the power consumption of the compressor instead of maximizing the coefficient of performance, which avoids several sensors, and we demonstrate mathematically that both approaches are equivalent. We implemented the strategy with an algorithm that includes two independent auto tuned controllers, one devoted to regulate the high-pressure and another to regulate the outlet temperature of the secondary fluid of the evaporator. It also incorporates a real time perturb and observe procedure to locate online the optimum high-pressure that minimizes the compressor power consumption. The paper presents the experimental evaluation of the control strategy, verifying the stable operation of the algorithm and the energy optimization of the plant. [-]
Publicado en
Applied Thermal Engineering, 2014, Vol. 67, n. 1-2Derechos de acceso
Copyright © 2015 Elsevier
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info:eu-repo/semantics/openAccess
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