Home Energy Management Systems with Branch-and-Bound Model-Based Predictive Control Techniques

Karol Bot, Inoussa Laouali, António Ruano and Maria da Graça Ruano
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Karol Bot: Faculty of Science & Technology, University of Algarve, 8005-294 Faro, Portugal
Inoussa Laouali: Faculty of Science & Technology, University of Algarve, 8005-294 Faro, Portugal
António Ruano: Faculty of Science & Technology, University of Algarve, 8005-294 Faro, Portugal
Maria da Graça Ruano: Faculty of Science & Technology, University of Algarve, 8005-294 Faro, Portugal

Energies, 2021, vol. 14, issue 18, 1-27

Abstract: At a global level, buildings constitute one of the most significant energy-consuming sectors. Current energy policies in the EU and the U.S. emphasize that buildings, particularly those in the residential sector, should employ renewable energy and storage and efficiently control the total energy system. In this work, we propose a Home Energy Management System (HEMS) by employing a Model-Based Predictive Control (MBPC) framework, implemented using a Branch-and-Bound (BAB) algorithm. We discuss the selection of different parameters, such as time-step, to employ prediction and control horizons and the effect of the weather in the system performance. We compare the economic performance of the proposed approach against a real PV-battery system existing in a household equipped with several IoT devices, concluding that savings larger than 30% can be obtained, whether on sunny or cloudy days. To the best of our knowledge, these are excellent values compared with existing solutions available in the literature.

Keywords: home energy management systems; building energy; model-based predictive control; branch-and-bound algorithm; sensitivity analysis; photovoltaics; battery (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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