Ground source heat pump (GSHP) systems stand for an efficient technology for renewable heating and cooling in buildings. To optimize not only the design but also the operation of the system, a complete dynamic model becomes a highly useful tool, since it allows testing any design modifications and different optimization strategies without actually implementing them at the experimental facility. Usually, this type of systems presents strong dynamic operating conditions. Therefore, the model should be able to predict not only the steady-state behavior of the system but also the short-term response. This paper presents a complete GSHP system model based on an experimental facility, located at Universitat Politècnica de València. The installation was constructed in the framework of a European collaborative project with title GeoCool. The model, developed in TRNSYS, has been validated against experimental data, and it accurately predicts both the short-and long-term behavior of the system.
In order to contribute to a global CO 2 emissions reduction in 2020, the increase in the use of highly efficient heat pumps for heating, cooling and domestic hot water production in buildings is very recommendable. In this direction, Ground Source Heat Pump (GSHP) systems are generally recognized as one of the most energy-efficient compared to air source heat pump systems. However, this strongly depends on the temperature evolution of the air and the ground during the year, which also depends on the geographical location of the system. Therefore, an optimal system from the energy point of view apparently would be the one that is able to switch from one source to the other in order to operate the heat pump with the highest efficiency.
In this context, a new Dual Source Heat Pump (DSHP) unit for heating, cooling and production of domestic hot water, was developed and manufactured in the framework of a H2020 European project called GEOT€CH (Geothermal Technology for €conomic Cooling and Heating
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