A Heat Dynamic Model for Intelligent Heating of Buildings

Autor:	Henrik W. Bindner, Anders Thavlov
Rok vydání:	2014
Předmět:	Engineering Electric power system Smart grid Renewable Energy Sustainability and the Environment business.industry Predictive controller Thermal mass business Energy (signal processing) Simulation Automotive engineering Renewable energy
Zdroj:	International Journal of Green Energy. 12:240-247
ISSN:	1543-5083 1543-5075
Popis:	This article presents a heat dynamic model for prediction of the indoor temperature in an office building. The model has been used in several flexible load applications, where the indoor temperature is allowed to vary around a given reference to provide power system services by shifting the heating of the building in time. This way the thermal mass of the building can be used to absorb energy from renewable energy source when available and postpone heating in periods with lack of renewable energy generation. The model is used in a model predictive controller to ensure the residential comfort over a given prediction horizon.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f128b66d7103a04abbe7ca2f2761d50a https://doi.org/10.1080/15435075.2014.891516 Zobrazit plný text záznamu