English

In existing buildings, monitored data can support the process of simulation model calibration and validation. Such calibrated models could be effectively applied in building management and systems operation processes. The present contribution focuses on a specific problem faced by a monitoring-based optimization-assisted simulation calibration: In many realistic circumstances, it is not possible to install monitoring systems with full building coverage.

Simulating a building to predict its performance over the course of a full year requires an accurate repre-sentation of the stable and representative weather pat-terns of a location, i.e. a weather file. While weather file providers give due consideration to the stochastic nature of weather data, simulation is currently deter-ministic in the sense that using one weather file al-ways generates one performance outcome (for a given set of building parameters).

The building performance simulation community ap-plies theory from several different fields to develop models for heat transfer, light propagation, human be-havior, and other domains. To integrate these models, we propose the adoption of general modeling conven-tions from the less familiar field of modeling and sim-ulation theory. The conventions we explore are known as the Discrete Event System Specification (DEVS). With DEVS, a model-independent simulator responsi-ble for advancing time alleviates many of the techno-logical difficulties involved in coupling models.

This paper, which is an extension of previous studies, presents the modeling of an existing central cooling plant by using the EnergyPlus program. The previously identified coefficients of the chiller model and additional performance values/curves obtained using measured data are used to develop and calibrate the model.

The winter operation of ground-source  heat pumps is expected to lead to drift phenomena in the zones surrounding the vertical ground heat exchangers. A moving aquifer tends to oppose the thermal drift, due to the advection groundwater phenomena. A modelling study of the quantitative influence of the groundwater flow on the thermal drift is performed, based on the moving infinite line source model. The analytical solution of this model is numerically solved and implemented in a computer software.

It is a known fact that fault in the buildings can cause as much as 30% increase in energy consumption. Thus, identifying critical failure modes affecting building energy performance is important. It can lead to actions to eliminate them, but it could as well play a role in designing a suitable monitoring and diagnostic system. Typically, expert judgment is used to guess critical faults, which leads to over instrumented, complex, and expensive building performance monitoring and diagnostic systems.