stuart fix (6 résultats)

Kartoniert / Broschiert. Etat : New.

Taschenbuch. Etat : Neu. Optimize Building Energy Design Using Large Scale Simulation | Stuart Fix (u. a.) | Taschenbuch | 196 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202010009 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Paperback. Etat : Brand New. 196 pages. 8.66x5.91x0.45 inches. In Stock.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 196 pp. Englisch.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 196 pp. Englisch.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.