Abstract
The research presents an energy strategy during the design process using advanced energy performance simulation technology. Team coordination and building performance efficiency during the design process is aided by conducting a performance based assessment with comprehensive fully incorporated design, construction, energy, HVAC and annual building operation. Performance based decision making is demonstrated through an office building complex. The engineering decisions were based on performance enhancement and overall energy demand reduction, which was evaluated on an annual basis. The building envelope’s dominant curtain wall system was analyzed in detail in order to demonstrate qualitative energy performance improvement. ASHRAE 90.1 App. G System 7 VAV with reheat HVAC’s annual energy performance was estimated and evaluated from the aspect of end-use energy which is usually the baseline system for achieving LEED energy performance credits.
Highlights
The investigation covers the energetic and operational energy demand analysis of a 23 205 sqm office building complex [1]
Operational energy demands and HVAC system operation were analyzed in detail using complex input datasets: climatic database, building structure, thermal loads, occupancy and HVAC system documentation
Following the heating and cooling demand assessment according to adequate glazing assignment of the Variable air volume (VAV) HVAC systems was simulated in order to assess their annual operating performance
Summary
The investigation covers the energetic and operational energy demand analysis of a 23 205 sqm office building complex [1]. Operational energy demands and HVAC system operation were analyzed in detail using complex input datasets: climatic database, building structure, thermal loads, occupancy and HVAC system documentation. The calculations were performed with detailed dynamic energy simulation in EnergyPlus [2] engine. Our first task was to justify which curtain-wall window structure would be the most preferable from the energy performance aspect, and to demonstrate which is the most appropriate window type contributing to higher energy efficiency of the build- ing. The virtual environment was created in EnergyPlus software where the simulation was performed according to the calculation models from the EnergyPlus Engineering documentation [9]. Stand.deviati on n-Year Return Period Values of Extreme DB n=5 years n=10 years n=20 years n=50 years
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