MATEC Web Conf.
Volume 295, 2019Smart Underground Space and Infrastructures – Lille 2019
|Number of page(s)||6|
|Section||Smart Underground Space and Infrastructures|
|Published online||18 October 2019|
A thermal control methodology based on a predictive model for indoor heating management
YNCREA HEI, Univ. Artois, IMT Lille Douai, Univ. Lille, EA 4515, Laboratoire de Génie Civil et géo-Environnement (LGCgE), F-59800 Lille, France
This paper presents a thermal control methodology based on an indoor temperature predictive model that regulates heating systems. Future indoor temperature is predicted from historical data of indoor temperature and other outside parameters. A control strategy is defined afterwards in order to retrieve the optimal parameters. The building simulation shows that the developped methodology provides satisfactory results by avoiding overheating and underheating periods and thus improving the thermal comfort and the energy consumption.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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