Modelling of multi-energy systems of residential buildings with Calliope and validation of results

Abstract

Given the current and future importance of energy availability in the residential sector, there is great interest in reducing and optimising the energy consumption of single and multifamily houses. An energy system consisting of solar PV, heat pump, and battery and thermal storage can reduce electricity grid dependence by maximising the use of renewable energy. However, creating a model for such a multi-energy system can be challenging due to the need for detailed input data and high computational cost. This study aimed to develop a simpler model with short computation times and sufficient accuracy by employing a mixed-integer linear programming (MILP) method based on the modelling framework Calliope, allowing the investigation of optimal operation regarding energy consumption and autarky. The results of a model simulation were compared to measurements acquired at a pilot site of a residential building in an alpine region of Switzerland. The results show good agreement between the model and pilot site for PV self-consumption (-5%), grid-export (+3%), and battery usage (-2%), whereas larger discrepancies were observed for the utilisation of the thermal storage (-78%). With the necessary modifications the developed model will be useful in estimating the feasibility and impact of multi-energy systems in residential buildings.