The importance of integrally simulating the building, HVAC and control systems, and occupants' impact for energy predictions of buildings including temperature and …

RP Kramer, AWM van Schijndel… - Journal of building …, 2017 - Taylor & Francis
Journal of building performance simulation, 2017Taylor & Francis
For buildings including temperature and humidity control, this study compares the energy
prediction accuracy of a ZABES-model (Zone Air Building Energy Simulation) to an IBES-
model (Integral Building Energy Simulation), which additionally includes models of the air
handling unit (AHU) and controllers. Museum Hermitage Amsterdam served as a case study.
For one year, measurements were performed in the main exhibition hall and its AHU. The
ZABES-model was developed using heat air and moisture model for building and systems …
For buildings including temperature and humidity control, this study compares the energy prediction accuracy of a ZABES-model (Zone Air Building Energy Simulation) to an IBES-model (Integral Building Energy Simulation), which additionally includes models of the air handling unit (AHU) and controllers. Museum Hermitage Amsterdam served as a case study. For one year, measurements were performed in the main exhibition hall and its AHU. The ZABES-model was developed using heat air and moisture model for building and systems evaluation (implemented in MATLAB). The IBES-model was developed in Simulink and consists of the ZABES-model and models of AHU-components and controllers. Both models have been validated in detail. The IBES-model’s energy prediction errors are well within 10%. However, the ZABES-model underestimated the total annual energy consumption by 84%. Moreover, including occupants’ heat and moisture gains leads to realistic results using the IBES-model, but leads to unrealistic results using the ZABES-model. In conclusion, IBES-models are essential for reliable energy predictions of buildings including humidity control.
Taylor & Francis Online
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