Bachelor's thesis Leonard Schulte
The user comfort represents a significant aspect of energy consumption in energy building systems. In this context, the thermal indoor climate has an influence on the well-being of the user as well as his health and performance. In contrast to conventional experiments, the Hardware-in- the-Loop (HiL) method enables the evaluation of further aspects. Not only the investigation of the heat generation as well as the distribution and transfer can be displayed and analyzed, but also the resulting development of the room temperatures. As a part of this work, a simulation oriented evaluation of HiL experiments is developed and applied.
Therefore, parameters characterizing the indoor climate are defined and standards related to user comfort are presented. The method is based on the comparison between the generated thermal conditions in each room and its specification as well as the assessment of the user comfort regarding normative criteria and measures. In particular, the deviation analysis contains dynamic specifications in order to ensure comparability of all experiments. The method is then applied to selected experiments to evaluate the effect of a model predictive control on the user comfort. Looking at results of the deviation analysis, a cooling of the room air temperatures, caused by the model predictive control, can be determined, with magnitudes similar as in the reference experiment. The normative evaluation, however, proves a reduction of the normatively defined user comfort due to the model predictive control. Overall, the energy savings should be weighed against the preservation of thermal user comfort.
An increasing degree of detail of the building models enables a need-based adaptation of the evaluation tool for the recording and evaluation of further parameters concerning the user comfort.