IBPSA2013

The development of solar district heating is experiencing a booming. In some case the space available for the integration of solar panels is limited and the use of decentralized systems is necessary. For decentralized solar district heating systems different hydraulic schemes at the substation level, with or without local use of solar energy, is possible. The present paper detailed an advanced study on decentralized solar district heating system using dynamic simulation software.

We present a transient coupled thermal and electrical model of BIPV systems installed on rooftops and naturally ventilated through air cavities imposed by building conception rule (ventilation of skeleton). This model realized in TRNSYS software was experimentally validated using five different residential BIPV systems commercially available in France in 2010. Relative differences between predicted and measured data exceeding 2% and 4% were observed for the thermal and electrical results respectively. The model was accurate to 2% for sunny days and less precise for cloudy days.

This paper describes the development of a technique for extrapolation of dynamic daylighting simulations from a limited number of high dynamic range photographs.  This technique allows us to photographically capture and measure per-pixel lighting quantities from existing spaces in a limited time frame; and the measured information is used to establish a statistics based daylight coefficient model for the studied scene.

The present paper is concerned with the results of the numerical investigation of unsteady laminar, natural convection in an asymmetrically heated inclined open channel (i =0, 45, 60 and 75◦) with walls at uniform heat flux (qw = 10, 50, 75 and 100W · m−2). Two methodological approaches have been adopted to in-vestigate the air flow in this case: 2D and 3D DNS, and four sets of inlet-outlet velocity-pressure boundary conditions have been considered. Significant differ-ences are observed in the flow dynamics between 2D and 3D results.

This paper outlines a digital design and simulation-based process conceived and tested, for the automation of environmentally responsive building ‘forms’, optimized for Energy and Lighting performance. The process sequences 4 different modeling and simulation programs to evaluate energy loads and lighting levels of a typical office building whose forms are ‘generated’ by an automated script running Rhino + Grasshopper, EnergyPlus, MATLAB and RADIANCE.

The aim of this paper is to propose a methodology using simulation to help optimising the design of passive buildings through a comfort approach. The study will concentrate on the design of solar shading that plays an extensive role in tropical climates and that has a direct impact on the thermal and the visual comfort of the building users.

The aim of this study is to evaluate a simplified parameter to characterize green roofs summer dynamic thermal performance through a mathematical approach. The inside face surface conduction in a green roof component is calculated through the Fast all-season soil strength (FASST) model. A parametric analysis is carried out to evaluate which roof design options have the greatest effect on the green roof thermal behavior during the summer period.

Most building energy consumption dashboards provide a snapshot of building performance; others provide detailed historical data for comparison to current usage. This paper discusses the Building Agent platform, which was developed and deployed in a campus setting at the National Renewable Energy Laboratory as part of an effort to maintain the aggressive energy performance achieved in newly constructed office buildings and laboratories.