Procedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design

The article presents a novel methodology for designing chiller plants for a hotel facility to determine the optimal distribution of the chillers cooling capacity that compose the plant. The methodology proposes three phases. In the first, the statistical analysis allowed to determine the cooling dem...

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Autores principales: Yamile Díaz Torres, Roy Reyes Calvo, Hernán Hernández Herrera, Mario A. Álvarez Guerra, Julio Gómez Sarduy, Jorge Iván Silva Ortega
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/6be126228c8a494f8deb7bc4a0bb0430
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spelling oai:doaj.org-article:6be126228c8a494f8deb7bc4a0bb04302021-11-18T04:49:33ZProcedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design2352-484710.1016/j.egyr.2021.07.090https://doaj.org/article/6be126228c8a494f8deb7bc4a0bb04302021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721005539https://doaj.org/toc/2352-4847The article presents a novel methodology for designing chiller plants for a hotel facility to determine the optimal distribution of the chillers cooling capacity that compose the plant. The methodology proposes three phases. In the first, the statistical analysis allowed to determine the cooling demand required in the facility, where the constructed thermal demand profiles reflect future operating conditions, and to obtain the individual cooling capacities of the chillers. In the second phase, the black box models were built to simulate the chillers energy performance and, using a mathematical algorithm allows to obtain a combination of chiller plants. The third phase constitutes the energy evaluation through the solution of a mathematical optimization problem and using a genetic algorithm. This was carried out under the sequence approach and the optimal load of each machine against the working conditions. This analysis allows calculating the performance, the life cycle cost, and the indirect environmental impact. The paper proposes a case study to demonstrate the feasibility of applying the methodology to the initial design stage, achieving a saving of 14,4%. Finally, using statistical analysis, the method allows comparing the relationship between each chiller plant considering the design and operating parameters.Yamile Díaz TorresRoy Reyes CalvoHernán Hernández HerreraMario A. Álvarez GuerraJulio Gómez SarduyJorge Iván Silva OrtegaElsevierarticleGenetic algorithmChiller plantCooling capacityOptimal chiller loading and sequenceHotel facilitiesElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 622-637 (2021)
institution DOAJ
collection DOAJ
language EN
topic Genetic algorithm
Chiller plant
Cooling capacity
Optimal chiller loading and sequence
Hotel facilities
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Genetic algorithm
Chiller plant
Cooling capacity
Optimal chiller loading and sequence
Hotel facilities
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Yamile Díaz Torres
Roy Reyes Calvo
Hernán Hernández Herrera
Mario A. Álvarez Guerra
Julio Gómez Sarduy
Jorge Iván Silva Ortega
Procedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design
description The article presents a novel methodology for designing chiller plants for a hotel facility to determine the optimal distribution of the chillers cooling capacity that compose the plant. The methodology proposes three phases. In the first, the statistical analysis allowed to determine the cooling demand required in the facility, where the constructed thermal demand profiles reflect future operating conditions, and to obtain the individual cooling capacities of the chillers. In the second phase, the black box models were built to simulate the chillers energy performance and, using a mathematical algorithm allows to obtain a combination of chiller plants. The third phase constitutes the energy evaluation through the solution of a mathematical optimization problem and using a genetic algorithm. This was carried out under the sequence approach and the optimal load of each machine against the working conditions. This analysis allows calculating the performance, the life cycle cost, and the indirect environmental impact. The paper proposes a case study to demonstrate the feasibility of applying the methodology to the initial design stage, achieving a saving of 14,4%. Finally, using statistical analysis, the method allows comparing the relationship between each chiller plant considering the design and operating parameters.
format article
author Yamile Díaz Torres
Roy Reyes Calvo
Hernán Hernández Herrera
Mario A. Álvarez Guerra
Julio Gómez Sarduy
Jorge Iván Silva Ortega
author_facet Yamile Díaz Torres
Roy Reyes Calvo
Hernán Hernández Herrera
Mario A. Álvarez Guerra
Julio Gómez Sarduy
Jorge Iván Silva Ortega
author_sort Yamile Díaz Torres
title Procedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design
title_short Procedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design
title_full Procedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design
title_fullStr Procedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design
title_full_unstemmed Procedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design
title_sort procedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design
publisher Elsevier
publishDate 2021
url https://doaj.org/article/6be126228c8a494f8deb7bc4a0bb0430
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