Adaptive heat pump and battery storage demand side energy management

Autoren Florian Sobieczky
Christian Lettner
Thomas Natschläger
Patrick Traxler
Editoren
Titel Adaptive heat pump and battery storage demand side energy management
Buchtitel E3S Web of Conferences
Typ in Konferenzband
Band volume 22 (ASEE17)
DOI 10.1051/e3sconf/20172200162
Monat November
Jahr 2017
Seiten article number 00162
SCCH ID# 17022
Abstract

An adaptive linear model predictive control strategy is introduced for the problem of demand side energy management, involving a photovoltaic device, a battery, and a heat pump. Moreover, the heating influence of solar radiation via the glass house effect is considered. Global sunlight radiation intensity and the outside temperature are updated by weather forecast data. The identification is carried out after adapting to a time frame witch sufficiently homogeneous weather. In this way, in spite of the linearity an increase in precision and cost reduction of up to 46% is achieved. It is validated for an open and closed loop version of the MPC problem using real data of the ambient temperature and the global radiation.