This paper presents a preliminary assessment of the potential economic benefit resulting from the use of smart energy management systems in buildings. The proposed approach relies on the application of model predictive control (MPC) and a self-consumption oriented tariff scheme. In order to evaluate the advantages of MPC within the context of future energy scenarios, an e-constraint multi-objective optimization of different energy system configurations and their respective operation strategies is performed, prior comparing the former performance to a conventional control method. The problem formulation is expressed using a mixed-integer linear programming (MILP) technique featuring grid interaction constraints and heat integration. The generated simulation results are finally extended to the domestic building stock of Switzerland using a systematic approach, hence providing a first estimate of the large-scale impact of MPC though national performance maps. © 2017 IEEE.