Energy targeting approach for optimum solar assisted ground source heat pump integration in buildings

Abstract

Application of solar assisted ground source heat pumps (SAGSHP) in buildings have been increased in recent years. However, a systematic approach for integrating the optimum SAGSHP system in buildings in order to meet the space heating/cooling and the domestic hot water loads is still missing. A novel dynamic targeting approach is proposed. It can predict and guarantee the maximum possible direct and indirect heat recovery in a given building by introducing an interconnected network of heat exchangers (including ground heat exchanger) + energy storage (both electric and thermal energies) + heat pump (HP) + solar photovoltaic (PV) panels based on the real-time hot and cold composite curves (CCs). The main novelty of this approach consists in the fact that the dynamic building's loads and the time variation of renewable and waste sources of energies are included into the targeting procedure. The approach is applied to a multifamily test building, where the solar irradiance and building's heating and cooling demands are taken into account. In addition to the maximum heat recovery, the proposed approach computes the minimum area of the solar photovoltaic panels, the minimum volume of TES, and the minimum capacity of the electric energy storage for each representative day.