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Study on Temperature Distribution with CFD Simulations of an Air-Conditioned Room

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Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems (AsiaSim 2016, SCS AutumnSim 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 645))

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Abstract

Accurate thermal load prediction is beneficial for minimizing cost and energy consumption of buildings. Indoor thermal comfort and the air quality greatly influence the health and work efficiency of building occupants. For energy efficiency and thermal comfort is significantly impacted by the choice of an appropriate reference air temperature, indoor air temperature distribution analysis is very important. In this study, the temperature distribution of an air conditioned room was calculated by FLUENT under different air supply parameters, and the calculated temperatures agreed well with the measured data in both cooling and heating modes of simulations. Then, proper simulation models was determined and used to seek the characteristic point that can represent the room reference air temperature directly. The outlet point of the air conditioner was verified to be the approximation of the characteristic point in the tested room. This provides a convenient approach to obtain the reference temperature used to predict real-time thermal load which is the key factor of building energy performance improving.

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Acknowledgment

Thanks to the supports by National Natural Science Foundation (NNSF) of China under Grant 61273190 and Shanghai Natural Science Foundation under Grant 13ZR1417000.

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Correspondence to Tingzhang Liu .

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© 2016 Springer Science+Business Media Singapore

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Fang, P., Liu, T., Liu, K., Zhao, J. (2016). Study on Temperature Distribution with CFD Simulations of an Air-Conditioned Room. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-10-2669-0_27

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  • DOI: https://doi.org/10.1007/978-981-10-2669-0_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2668-3

  • Online ISBN: 978-981-10-2669-0

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