Abstract
A simple thermal model is used to simulate the heat load received by an idealized room incorporating climatological factors and daily weather patterns in the Philippine setting. The model provides diurnal temperature variation of the idealized room with varying wall materials situated in Quezon City during the cool-dry and hot-dry seasons in the country. The model was used to calculate the heat load to keep the temperature of the room less than 25 °C. Rooms with walls made of bamboo and oak were demonstrated to perform better than those which are made of concrete, bricks and sandstone. The room with oak walls were shown to provide up to 3 × savings in terms of computed daily energy consumption during the hot-dry season. This study can help us provide design and structural considerations in relation to energy utilization and possibly conservation.
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References
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., et al. Global sensitivity analysis: the primer. Wiley, Chichester, West Sussex PO19 8SQ, England (2008). ISBN: 978-0-470-05997-5
Coakley, D., Raftery, P., Keane, M.: A review of methods to match building energy simulation models to measured data. Renew. Sustain. Energy Rev. 37, 123–141 (2014). https://doi.org/10.1016/j.rser.2014.05.007 URL https://escholarship.org/uc/item/88z3g017
Mendonca, K.C., Inard, C., Wurtz, E., Winkelmann, F.C., Allard, F.: A zonal model for predicting simultaneous heat and moisture transfer in buildings. In: Proceedings of Indoor Air (2002)
Lu, X., Lu, T., Viljanen, M.: A new analytical method to simulate heat transfer process in buildings. Appl. Therm. Eng. 26(16), 1901–1909 (2006)
Cui, W., Cao, G., Park, J., Ouyang, Q., Zhu, Y.: Influence of indoor air temperature on human thermal comfort, motivation and performance. Build. Environ., 114–122. ISSN 0360-1323 (2013). https://doi.org/10.1016/j.buildenv.2013.06.012
Lauster, M., Remmen, P., Fuchs, M., Teichmann, J., Streblow, R., Muller, D.: Modelling long-wave radiation heat exchange for thermal network building simulations at urban scale using Modelica (2014)
Kasten, F., Young, A.: Revised optical air mass tables and approximation formula. Appl. Opt., 28(22), 4735–4738 (1989). https://doi.org/10.1364/ao.28.004735, http://ao.osa.org/abstract.cfm?URI=ao-28-22-4735
Stephenson, D.: Thermal radiation and its effect on the heating and cooling of buildings. In: Technical Report June, National Research Council of Canada – Division of Building Research, Ottawa (1961)
Kehrer, M., Schmidt, T.: Radiation effects on exterior surfaces. In: Proceedings of the 8th Symposium on Building Physics in the Nordic Countries, pp. 207–212 (2008)
Shah, D., Bock, M., Mulligan, H., Ramage, M.: Thermal conductivity of engineered bamboo composites. J. Mater. Sci. 51, 2991–3002 (2015)
Luo, C., Moghtaderi, B., Sugo, H.: Time lags and decrement factors under air-conditioned and free-floating conditions for multi-layer materials. Building Simulation, pp. 95–100 (2007)
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Manaoat, N.M., Bantang, J., Bo-ot, L.M. (2020). Diurnal Temperature Variation in an Idealized Room for Different Wall Materials Using a Thermal Load Model in the Philippine Setting. In: Ahram, T., Taiar, R., Colson, S., Choplin, A. (eds) Human Interaction and Emerging Technologies. IHIET 2019. Advances in Intelligent Systems and Computing, vol 1018. Springer, Cham. https://doi.org/10.1007/978-3-030-25629-6_18
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DOI: https://doi.org/10.1007/978-3-030-25629-6_18
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