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Performance curves of room air conditioners for building energy simulation tools

Author

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  • Meissner, José W.
  • Abadie, Marc O.
  • Moura, Luís M.
  • Mendonça, Kátia C.
  • Mendes, Nathan

Abstract

In order to improve the modeling of air conditioners in building simulation tools, the characteristic curves for total cooling capacity, sensible cooling capacity and energy efficiency ratio of two room units were determined. They were obtained by means of standard capacity tests on climatic chambers in a set of environmental conditions described by external dry- and internal wet bulb temperatures. Afterward, the performance of these two units and that of four other units, with and without taking into to account the thermodynamic variations of the surrounding environments on it, were compared using a whole building simulation program for simulating a conditioned space. The comparative analysis showed that the air conditioner with the higher energy efficiency rating not always provides the lowest power consumption in real conditions of use.

Suggested Citation

  • Meissner, José W. & Abadie, Marc O. & Moura, Luís M. & Mendonça, Kátia C. & Mendes, Nathan, 2014. "Performance curves of room air conditioners for building energy simulation tools," Applied Energy, Elsevier, vol. 129(C), pages 243-252.
    • Handle: RePEc:eee:appene:v:129:y:2014:i:c:p:243-252
    DOI: 10.1016/j.apenergy.2014.04.094
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    References listed on IDEAS

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    1. Choi, J.M & Kim, Y.C, 2003. "Capacity modulation of an inverter-driven multi-air conditioner using electronic expansion valves," Energy, Elsevier, vol. 28(2), pages 141-155.
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    Cited by:

    1. Yan, Huaxia & Xia, Yudong & Deng, Shiming, 2017. "Simulation study on a three-evaporator air conditioning system for simultaneous indoor air temperature and humidity control," Applied Energy, Elsevier, vol. 207(C), pages 294-304.
    2. Kleinebrahm, Max & Weinand, Jann Michael & Naber, Elias & McKenna, Russell & Ardone, Armin, 2023. "Analysing municipal energy system transformations in line with national greenhouse gas reduction strategies," Applied Energy, Elsevier, vol. 332(C).
    3. Hu, Maomao & Xiao, Fu, 2018. "Price-responsive model-based optimal demand response control of inverter air conditioners using genetic algorithm," Applied Energy, Elsevier, vol. 219(C), pages 151-164.
    4. Rehman, Hassam Ur, 2017. "Experimental performance evaluation of solid concrete and dry insulation materials for passive buildings in hot and humid climatic conditions," Applied Energy, Elsevier, vol. 185(P2), pages 1585-1594.
    5. Song, Chunhe & Jing, Wei & Zeng, Peng & Rosenberg, Catherine, 2017. "An analysis on the energy consumption of circulating pumps of residential swimming pools for peak load management," Applied Energy, Elsevier, vol. 195(C), pages 1-12.
    6. Bansal, Pradeep, 2015. "High efficiency novel window air conditioner," Applied Energy, Elsevier, vol. 156(C), pages 311-320.

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