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Procedure to obtain the optimal distribution cooling capacity of an air-condensed chiller plant for a hotel facility conceptual design
- Source :
- Energy Reports, Vol 7, Iss, Pp 622-637 (2021), Energy Reports, REDICUC-Repositorio CUC, Corporación Universidad de la Costa, instacron:Corporación Universidad de la Costa
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- 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.
- Subjects :
- Chiller
Chiller plant
Cooling capacity
Optimal chiller loading and sequence
Hotel facilities
business.industry
Computer science
Energy performance
TK1-9971
Water chiller
General Energy
Distribution (mathematics)
Conceptual design
Genetic algorithm
Electrical engineering. Electronics. Nuclear engineering
Process engineering
business
Energy (signal processing)
Subjects
Details
- Language :
- English
- ISSN :
- 23524847
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Energy Reports
- Accession number :
- edsair.doi.dedup.....037c50128579f6b72dc31403a35a307a