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To meet the world’s growing energy needs, photovoltaic (PV) and electric vehicle (EV) systems are gaining popularity. However, intermittent PV power supply, changing consumer load needs, and EV storage limits exacerbate network instability. A model predictive intelligent energy management system (MP-iEMS) integrated home area power network (HAPN) is being proposed to solve these challenges. It includes forecasts of PV generation and consumers’ load demand for various seasons of the year, as well as the constraints on EV storage and utility grid capacity. This paper presents a multi-timescale, cost-effective scheduling and control strategy of energy distribution in a HAPN. The scheduling stage of the MP-iEMS applies a receding horizon rule-based mixed-integer expert system.To show the precise MP-iEMS capabilities, the suggested technique employs a case study of real-life annual data sets of home energy needs, EV driving patterns, and EV battery (dis)charging patterns. Annual comparison of unique assessment indices (i.e., penetration levels and utilization factors) of various energy sources is illustrated in the results. The MP-iEMS ensures users’ comfort and low energy costs (i.e., relative 13% cost reduction). However, a battery life-cycle degradation model calculates an annual decline in the storage capacity loss of up to 0.013%.

The combination of solar thermal and heat pump (STHP) systems is a promising hybrid concept for the efficient and sustainable energy supply of buildings. In general, the modeling and simulation of such complex energy systems is a challenging task as it requires expert knowledge in modeling as well as in the behavior of the real systems. As an alternative to the complex and lengthy general modeling process, a TRNSYS-based stand-alone tool is presented which enables users to analyze different predefined SHP concepts with hardly any knowledge in modeling and simulation itself. The predefined STHP concepts are explained in detail and the simulation results for a comparison of the performance of different system concepts are presented. The predefined systems are ground or air source heat pump systems with or without parallel integration of solar thermal collectors. In addition to earlier work, these system concepts are extended by solar thermal and ice storage heat pump systems. On the one hand, the simulation results show that in case of moderate climate and new as well as renovated buildings, solar thermal and air source heat pump systems can compete with ground source heat pump systems without solar integration and can achieve the same or even higher values of seasonal performance factors. On the other hand, the results show that solar thermal and ice storage systems are efficient solar thermal heat pump systems, which can achieve higher SPFs than air source heat pump systems and for new buildings even SPFs in the range of ground source heat pump systems. Furthermore, this contribution shows the advantages and the possible performance improvements by parallel integration of solar collectors in different system concepts.

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