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Optimize Building Energy Design Using Large Scale Simulation - Stuart Fix,Russell Richman

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2017-08-01
66,24 € 101,90 €

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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 wo ... Visas aprašymas

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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.

Daugiau informacijos

Autorius Stuart Fix, Russell Richman
Leidėjas LAP LAMBERT Academic Publishing
Išleidimo metai 2017
Viršelio tipas Minkšti viršeliai
EAN 9786202010009
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66,24 € 101,90 €