Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202010002 ISBN 13: 9786202010009
Librería: moluna, Greven, Alemania
EUR 52,90
Cantidad disponible: Más de 20 disponibles
Añadir al carritoKartoniert / Broschiert. Condición: New.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202010002 ISBN 13: 9786202010009
Librería: preigu, Osnabrück, Alemania
EUR 55,55
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202010002 ISBN 13: 9786202010009
Librería: Revaluation Books, Exeter, Reino Unido
EUR 120,36
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 196 pages. 8.66x5.91x0.45 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Aug 2017, 2017
ISBN 10: 6202010002 ISBN 13: 9786202010009
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 64,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Aug 2017, 2017
ISBN 10: 6202010002 ISBN 13: 9786202010009
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 64,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202010002 ISBN 13: 9786202010009
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 65,68
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.