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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2021
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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 |
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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 |
work_keys_str_mv |
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