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Control of indoor thermal environment based on concept of contribution ratio of indoor climate

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  • Building Thermal, Lighting, and Acoustics Modeling
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Abstract

The contribution ratio of indoor climate (CRI) derived from computational fluid dynamics (CFD) was developed to estimate the individual contribution of heat factors to any location inside a room. The CRI index indicates the structure of the temperature field and allows the CFD results to be applied to analysis and design, with more efficient application. In this study, the concept and calculation method for CRI is introduced first. As an example of the application of CRI, a method for predicting temperatures at any point in a room with a small number of temperature sensors based on CRI is developed. The accuracy of the method is examined by comparing the prediction with a coupled simulation of CFD and radiation.

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References

  • Kato S, Murakami S, Kobayashi H (1993). New scales for evaluating ventilation efficiency as affected by supply and exhaust openings based on spatial distribution of contaminant. In: Murakami S, et al. (Eds), Room Air Convection and Ventilation Effectiveness (ISRACVE Proceedings).

  • Kato S, Murakami S, Kobayashi H (1994). New scales for assessing contribution of heat sources and sinks to temperature distributions in room by means of numerical simulation. In: Proceedings of Roomvent’94, pp. 539–557.

  • Kato S, Murakami S, Shoya S, Hanyu F, Zeng J (1995). CFD analysis of flow temperature fields in atrium with ceiling height of 130 m. ASHRAE Transactions, 101(2): 1144–1157.

    Google Scholar 

  • Murakami S, Kato S, Suyama Y (1987). Three dimensional numerical simulation of turbulent airflow in a ventilated room by means of a two-equation model. ASHRAE Transactions, 93(2): 621–642.

    Google Scholar 

  • Murakami S, Kato S, Nakagawa H (1991a). Numerical prediction of horizontal non-isothermal 3-D jet in room based on the K-ɛ model. ASHRAE Transactions, 97(1): 38–48.

    Google Scholar 

  • Murakami S, Kato S, Kondo Y (1991b). Numerical study of thermal environment in room by means of coupled simulation of convective and radiative heat transport. SEISAN KENKYU, 43(1):12–19. (in Japanese)

    Google Scholar 

  • Sandberg M (1993). Ventilation effectiveness and purging flow rate — A review. In: Murakami S, et al. (Eds), Room Air Convection and Ventilation Effectiveness (ISRACVE Proceedings).

  • Sempey A, Inard C, Ghiaus C, Allery C (2009). Fast simulation of temperature distribution in air conditioned rooms by using proper orthogonal decomposition. Building and Environment, 44: 280–289.

    Article  Google Scholar 

  • Zhai Z, Chen Q (2003). Solution characters of iterative coupling between energy simulation and CFD programs. Energy and Buildings, 35: 493–505.

    Article  Google Scholar 

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Correspondence to Taro Sasamoto.

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Sasamoto, T., Kato, S. & Zhang, W. Control of indoor thermal environment based on concept of contribution ratio of indoor climate. Build. Simul. 3, 263–278 (2010). https://doi.org/10.1007/s12273-010-0011-6

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  • DOI: https://doi.org/10.1007/s12273-010-0011-6

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