Abstract
There is a continuous growth of heat pump installations in residential buildings in Germany. The heat pumps are not only used for space heating and domestic hot water consumption but also to offer flexibility to the grid. The high coefficient of performance and the low cost of heat storages made the heat pumps one of the optimal candidates for the power to heat applications. Thus, several questions are raised about the optimal integration and control of heat pump system with buffer storages to maximize its operation efficiency and minimize the operation costs. In this paper, an experimental investigation is performed to study the performance of a ground source heat pump (GSHP) with a combi-storage under several configurations and control factors. The experiments were performed on an innovative modular testbed that is capable of emulating a ground source to provide the heat pump with different temperature levels at different times of the day. Moreover, it can emulate the different building loads such as the space heating load and the domestic hot water consumption in real-time. The data gathered from the testbed and different experimental studies were used to develop a simulation model based on Modelica that can accurately simulate the dynamics of a GSHP in a building. The model was validated based on different metrics. Energetically, the difference between the developed model and the measured values was only 3% and 4% for the heat generation and electricity consumption, respectively.
Highlights
In German power sector, an ongoing increase of renewable energy integration can be witnessed.In 2016, 29% of gross generated electricity was produced from renewable energy sources (RES), which represents 192 TWh [1]
Such increase in the RESs integration is empowered by several policies such as the renewable energy act (EEG) [2]
At each of the measured points of Tb and Ts, the set points were held constant, and measurement was taken as an average of 40 min of operation to maintain a proper steady and accurate measurements
Summary
In 2016, 29% of gross generated electricity was produced from renewable energy sources (RES), which represents 192 TWh [1]. Such increase in the RESs integration is empowered by several policies such as the renewable energy act (EEG) [2]. The act guarantees the generator a fixed price over a specific term, which gives a priority to the RES in the electricity market. Having such weather dependent fluctuating RES in the market, raised the demand for flexibility to balance the generation.
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