Submitted by Maria.Kapsalaki on Wed, 12/17/2014 - 09:45
Traditional building simulation tools have achieved considerable success in the past. They provide the essential foundation for modeling highly sophisti-cated tasks. Nevertheless, new challenges and cur-rent progress in the energy domain require rapid pro-totyping capabilities for just-in-time model-based in-vestigation. Supporting these requirements is one of the many advantages of employing modern univer-sal modeling languages. This work addresses the in-tegration of the modern modeling language Model-ica with the traditional simulation tool TRNSYS.
Submitted by Maria.Kapsalaki on Wed, 12/17/2014 - 09:31
To design and evaluate advanced controls for build-ings , building system models that can show detailed dynamics of feedback control loops are required. The models should also be computationally efficient if they are used for model-based control in real time. How-ever, most building energy simulation programs apply idealized feedback control and steady-state model for HVAC equipment.
Submitted by Maria.Kapsalaki on Wed, 12/17/2014 - 09:26
This work shows a particular study in a single office in Barcelona, with an exterior Sud-East façade. Daylight simulations are made with DAYSIM (2010), dynamic validated software based on RADIANCE (1990-2002). Also, these results are compared to: visual comfort surveys and luminance and illuminance data obtained from field measurements (in situ). The field measurements were made during 20 days of March of 2012, with illuminance sensors, luminance camera, and meteorogical station.
Submitted by Maria.Kapsalaki on Wed, 12/17/2014 - 09:23
One widely recognized opportunity to reduce global carbon emissions is to make urban neighborhoods more resource efficient. Significant effort has hence gone into developing computer-based design tools to ensure that individual buildings use less energy. While these tools are increasingly used in practice, they currently do not allow design teams to model groups of dozens or hundreds of buildings effectively, which is why a growing number of research teams are working on dedicated urban modeling tools.