Building performance simulation for design and operation
著者
書誌事項
Building performance simulation for design and operation
Spon Press, 2011
大学図書館所蔵 全2件
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  福島
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  埼玉
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  東京
  神奈川
  新潟
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  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
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  韓国
  中国
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  イギリス
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Effective building performance simulation can reduce the environmental impact of the built environment, improve indoor quality and productivity, and facilitate future innovation and technological progress in construction. It draws on many disciplines, including physics, mathematics, material science, biophysics and human behavioural, environmental and computational sciences. The discipline itself is continuously evolving and maturing, and improvements in model robustness and fidelity are constantly being made. This has sparked a new agenda focusing on the effectiveness of simulation in building life-cycle processes.
Building Performance Simulation for Design and Operation begins with an introduction to the concepts of performance indicators and targets, followed by a discussion on the role of building simulation in performance-based building design and operation. This sets the ground for in-depth discussion of performance prediction for energy demand, indoor environmental quality (including thermal, visual, indoor air quality and moisture phenomena), HVAC and renewable system performance, urban level modelling, building operational optimization and automation.
Produced in cooperation with the International Building Performance Simulation Association (IBPSA), and featuring contributions from fourteen internationally recognised experts in this field, this book provides a unique and comprehensive overview of building performance simulation for the complete building life-cycle from conception to demolition. It is primarily intended for advanced students in building services engineering, and in architectural, environmental or mechanical engineering; and will be useful for building and systems designers and operators.
目次
- 1 Introduction to Building Performance Simulation Jan Hensen (Eindhoven University of Technology) and Roberto Lamberts (Federal University of Santa Catarina) 2 The role of simulation in performance based building Godfried Augenbroe (Georgia Institute of Technology, USA) 3 Weather Data for Building Performance Simulation Dru Crawley (Bentley Systems, Inc., USA) and Chip Barnaby (Wrightsoft, USA) 4 People in building performance simulation Ardeshir Mahdavi (Vienna University of Technology, Austria) 5 Thermal load and energy performance prediction Jeffrey Spitler (Oklahoma State University, USA) 6 Ventilation Performance Prediction Jelena Srebric (Pennsylvania State University, USA) 7 Indoor Thermal Quality Performance Prediction Christoph van Treeck (Fraunhofer Institute for Building Physics, Germany) 8 Room Acoustics Performance Prediction Ardeshir Mahdavi (Vienna University of Technology, Austria) 9 Daylight Performance Predictions Christoph Reinhart (Harvard University, USA) 10 Moisture phenomena in whole building performance prediction Jan Carmeliet (ETH, Zurich, Switzerland)
- Bert Blocken (Eindhoven University of Technology, The Netherlands), Thijs Defraeye (Katholieke Universiteit Leuven, Belgium) and Dominique Derome (EMPA, Switzerland) 11 HVAC systems performance prediction Jonathan Wright (Loughborough University, UK) 12 Micro-cogeneration system performance predicition Ian Beausoleil-Morrison (Carleton University, Canada) 13 Building simulation for practical operational optimization David Claridge (Texas A&M University, USA) 14 Building simulation in building automation systems Gregor P Henze (University of Colorado, USA) and Christian Neumann (Fraunhofer Institute, Freiburg, Germany) 15 Integrated resource flow modelling of the urban built environment Darren Robinson (EPFL, Switzerland) 16 Building simulation for policy support Dru Crawley (Bentley Systems, Inc., USA) 17 A view on future building system modeling and simulation Michael Wetter (Lawrence Berkeley National Laboratory, USA)
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