Abstract
Thermal comfort is an essential aspect for the control and verification of many smart home services. In this research, we design and implement simulation which models thermal environment of a smart house testbed. Our simulation can be used to evaluate thermal comfort in various conditions of home environment. In order to increase the accuracy of the simulation, we measure thermal-related parameters of the house such as temperature, humidity, solar radiation by the use of sensors and perform parameter identification to estimate uncertain parameters in our thermal model. We also implement a communication interface which allows our simulator to communicate with other external simulators. Experimental result showed that our simulation can achieve high accuracy when compared with actual measurement data.
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Nguyen, H., Makino, Y., Lim, A.O., Tan, Y., Shinoda, Y. (2013). Building High-Accuracy Thermal Simulation for Evaluation of Thermal Comfort in Real Houses. In: Biswas, J., Kobayashi, H., Wong, L., Abdulrazak, B., Mokhtari, M. (eds) Inclusive Society: Health and Wellbeing in the Community, and Care at Home. ICOST 2013. Lecture Notes in Computer Science, vol 7910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39470-6_20
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DOI: https://doi.org/10.1007/978-3-642-39470-6_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39469-0
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