Open AccessAn algorithm for the optimal management of air-source heat pumps and PV systems
Author(s) -
Jacopo Vivian,
Nicolò Mazzi
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1343/1/012069
Subject(s) - flexibility (engineering) , inertia , computer science , work (physics) , heat pump , demand side , heating system , thermal energy storage , demand response , control (management) , automotive engineering , simulation , environmental economics , engineering , electricity , mechanical engineering , economics , electrical engineering , ecology , physics , management , heat exchanger , classical mechanics , biology , artificial intelligence
The progressive decentralization and decarbonisation of the energy system calls for an increased flexibility of the demand side. Model predictive control techniques can help users consume more efficiently by shifting their energy demand toward most convenient time windows. The present work proposes an algorithm to optimally shift the heating demand of a residential building equipped with an air-source heat pump and PV panels by exploiting the inertia provided by its thermal mass. Results show that the proposed look-ahead control strategy is able to achieve significant cost savings for the users without affecting the thermal comfort in the indoor environment.