Submitted by Maria.Kapsalaki on Fri, 12/12/2014 - 14:13
This paper presents a simple all-weather sky radiance model (diffuse component). The model development was motivated by the intention to find a balance between the model's simplicity and ease of use on the one side and predictive capability on the other side. To develop the model, measured data collected at the microclimatic monitoring station of our institute (the Department of Building Physics and Building Ecology of the Vienna University of Technology) was deployed. To formulate the model, a formalism based on the concept of irradiance coefficient was used.
Submitted by Maria.Kapsalaki on Fri, 12/12/2014 - 14:10
In the Swiss research project OptiControl (www.opticontrol.ethz.ch), new predictive building control strategies are developed and applied to a fully occupied, well instrumented demonstrator building. Here we report on the development and validation of the EnergyPlus building energy performance simulation model used in the project.
Submitted by Maria.Kapsalaki on Fri, 12/12/2014 - 14:05
Recently façade systems have integrated passive solutions to reduce the energy consumption in buildings and improve their occupants’ comfort. This paper reports the results of the thermal performance of Trombe walls and daylighting of glazing modules of a façade system in Portugal. Trombe walls are massive walls separated from the outdoors by glazing and an air space, which absorbs the solar energy and releases it selectively to the inside of the building at night. Computational simulations were carried out with the Design Builder, Ecotect and Desktop Radiance programs.
Submitted by Maria.Kapsalaki on Fri, 12/12/2014 - 14:01
Traditional uncertainty quantification (UQ) in the design of energy efficient buildings is limited to the propagation of parameter uncertainties in model input variables. Some models inside building simulation are inherently inaccurate, which introduces additional uncertainties in model predictions. Therefore, quantification of this type of uncertainty (i.e., modelling, or more strictly speaking model form uncertainty) is a necessary step toward the complete UQ of model predictions.