Procedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design
被引:9
|
作者:
Torres, Yamile Diaz
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机构:
Univ Carlos Rafael Rodriguez, Study Ctr Energy & Environm, Cienfuegos, CubaUniv Carlos Rafael Rodriguez, Study Ctr Energy & Environm, Cienfuegos, Cuba
Torres, Yamile Diaz
[1
]
Calvo, Roy Reyes
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机构:
Univ Carlos Rafael Rodriguez, Fac Engn, Cienfuegos, CubaUniv Carlos Rafael Rodriguez, Study Ctr Energy & Environm, Cienfuegos, Cuba
Calvo, Roy Reyes
[2
]
Herrera, Hernan Hernandez
论文数: 0引用数: 0
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机构:
Univ Simon Bolivar, Fac Ingn, Barranquilla, ColombiaUniv Carlos Rafael Rodriguez, Study Ctr Energy & Environm, Cienfuegos, Cuba
Herrera, Hernan Hernandez
[3
]
Guerra, Mario A. Alvarez
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Univ Carlos Rafael Rodriguez, Study Ctr Energy & Environm, Cienfuegos, CubaUniv Carlos Rafael Rodriguez, Study Ctr Energy & Environm, Cienfuegos, Cuba
Guerra, Mario A. Alvarez
[1
]
Sarduy, Julio Gomez
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Univ Carlos Rafael Rodriguez, Study Ctr Energy & Environm, Cienfuegos, CubaUniv Carlos Rafael Rodriguez, Study Ctr Energy & Environm, Cienfuegos, Cuba
Sarduy, Julio Gomez
[1
]
Ortega, Jorge Ivan Silva
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机构:
Univ Costa, Dept Energia, Barranquilla, ColombiaUniv Carlos Rafael Rodriguez, Study Ctr Energy & Environm, Cienfuegos, Cuba
Ortega, Jorge Ivan Silva
[4
]
机构:
[1] Univ Carlos Rafael Rodriguez, Study Ctr Energy & Environm, Cienfuegos, Cuba
[2] Univ Carlos Rafael Rodriguez, Fac Engn, Cienfuegos, Cuba
[3] Univ Simon Bolivar, Fac Ingn, Barranquilla, Colombia
Genetic algorithm;
Chiller plant;
Cooling capacity;
Optimal chiller loading and sequence;
Hotel facilities;
ROBUST OPTIMAL-DESIGN;
LOAD UNCERTAINTY;
SYSTEMS;
VENTILATION;
ALGORITHM;
D O I:
10.1016/j.egyr.2021.07.090
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
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. (C) 2021 The Author(s). Published by Elsevier Ltd.
机构:
School of Automotive Engineering, South China University of Technology, Guangzhou 510640, ChinaSchool of Automotive Engineering, South China University of Technology, Guangzhou 510640, China
Kang, Ying-Zi
Hua, Ben
论文数: 0引用数: 0
h-index: 0
机构:
Key Laboratory of Enhanced Heat Transfer and Energy Conservation, South China University of Technology, Guangzhou 510640, ChinaSchool of Automotive Engineering, South China University of Technology, Guangzhou 510640, China
Hua, Ben
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science),
2008,
36
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