The importance of integrally simulating the building, HVAC and control systems, and occupants’ impact for energy predictions of buildings including temperature and humidity control: validated case study museum Hermitage Amsterdam

Abstract

For buildings including temperature and humidity control, this study compares the energy prediction accuracy of a ZABESmodel (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 ZABESmodel 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.

Optimised building energy and indoor microclimatic predictions using knowledge-based system identification in a historical art gallery

“…Some of the modelling approaches followed white-box modelling, involving detailed physics-based dynamic equations to model the building components [18][19][20]. A number of mature white-box software tools, such as EnergyPlus, ESP-r, IES, TAS, and TRNSYS, also exist, and they simplify the manual modelling process using this technique [21].…”