Abstract
Chillers are the basis of modern refrigeration systems of large facilities, such as oil refineries, power plants and large commercial buildings. The increasing concerns about the scarcity of water and energy resources require careful optimization processes to achieve energy efficiency in industrial buildings. Optimization require mathematical models of real equipment. In this paper, we present two models for a compression chillers, which are one the main equipment in industrial refrigeration systems. We prove that proposed models are precise and faithful to the real compression chiller used in modern refrigeration system. Moreover, we prove that the model’s values model accurately the actual values of the global requirements in terms of power consumption of the whole refrigeration system composed of cooling towers, fans and chillers. The models of the cooling tower and corresponding fans are presented in [5].
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References
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Acknowledgments
This work is supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - Brazil) and by Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ - Brazil 203.111/2018). We are most grateful for their continuous financial support.
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Nedjah, N., de Macedo Mourelle, L., Lizarazu, M.S.D. (2022). Mathematical Modeling of Chiller-Based Refrigeration Systems for Energy Efficiency Optimization. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13377. Springer, Cham. https://doi.org/10.1007/978-3-031-10536-4_19
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DOI: https://doi.org/10.1007/978-3-031-10536-4_19
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