Optimize Building Energy Design Using Large Scale Simulation - Fix, Stuart;Richman, Russell
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Take a journey into the realm of large scale building energy simulation. Fix simulates over 1 million single family residential buildings in Toronto's climate using Python scripting, the EnergyPlus virtual environment, and Amazon EC2 computational resources. The goal of this thesis is to provide a more complete picture of how building design parameters can impact lifetime energy consumption. The best and worst 1% performers are analyzed, with the conclusion that certain parameters dominate lifetime energy consumption in buildings. The dominant parameters include some surprises, which can inform the building design profession.…mehr

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Produktbeschreibung
Take a journey into the realm of large scale building energy simulation. Fix simulates over 1 million single family residential buildings in Toronto's climate using Python scripting, the EnergyPlus virtual environment, and Amazon EC2 computational resources. The goal of this thesis is to provide a more complete picture of how building design parameters can impact lifetime energy consumption. The best and worst 1% performers are analyzed, with the conclusion that certain parameters dominate lifetime energy consumption in buildings. The dominant parameters include some surprises, which can inform the building design profession.
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Autorenporträt
Stuart Fix is a mechanical engineer with a master¿s degree in building science, and is Principal at ReNü Engineering in Edmonton, Canada. He is a founder of Passive Buildings Canada and sits on the PHIUS technical committee. Stuart is an accomplished technical designer and an experienced contributor to inter-disciplinary groups in a global setting.