Abstract

Abstract:A building physics supported development was undertaken for the new block of the University of Pécs, Medical School. During sketch design stage climate, lighting and energy simulations were applied to quantify energy optimization strategies. Simulation cases assess the impact of shading technologies, wall-window ratios and thermal masses on used thermal energy demand. Based on a previous study about visual and comfort performance, goal was to identify the highest energy efficiency rates with maximum investment cost savings. Besides best comfort results, the most optimal development represents 9% saving in used thermal energy, and they were proposed for further design.

Highlights

  • Introduction and research goalThe Energy Design Research Group at University of Pecs conducts thermal dynamic and light simulation studies for optimal building design

  • A building physics supported development was undertaken for the new block of the University of Pécs, Medical School

  • Simulation cases assess the impact of shading technologies, wall-window ratios and thermal masses on used thermal energy demand

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Summary

Introduction and research goal

The Energy Design Research Group at University of Pecs conducts thermal dynamic and light simulation studies for optimal building design. Besides sophisticated and systematic analysis of the passive and active design solutions, most research studies assess theoretical and general building energy optimization issues, without any linkage to feedback from real implemented buildings or measurements. The building envelope represents one of the main energy and comfort influencing design factor in both complex theoretical building optimization investigation domains as well as in real implementation building design optimization projects. This interesting coincidence underlines the building envelope’s crucial and decisive role in office building comfort and energy performance.

Methodology
Used energy demand - all façade connected rooms
Used energy demand - complete building
Optimal building envelopre model proposal
Findings
Conclusions
Full Text
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