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A decision-support framework for des...
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Zhao, Ying.
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A decision-support framework for design of natural ventilation in non-residential buildings.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
A decision-support framework for design of natural ventilation in non-residential buildings./
Author:
Zhao, Ying.
Description:
207 p.
Notes:
Adviser: James Jones.
Contained By:
Dissertation Abstracts International68-03A.
Subject:
Architecture. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3258812
A decision-support framework for design of natural ventilation in non-residential buildings.
Zhao, Ying.
A decision-support framework for design of natural ventilation in non-residential buildings.
- 207 p.
Adviser: James Jones.
Thesis (Ph.D.)--Virginia Polytechnic Institute and State University, 2007.
This study develops a decision-support framework assisting the design of non-residential buildings with natural ventilation. The framework is composed of decision modules with input, analysis algorithms and output of natural ventilation design. The framework covers ventilation with natural driving force and mechanical-assisted ventilation. The framework has two major assessment levels: feasibility assessment and comparison of alternative natural ventilation approaches. The feasibility assessment modules assess the potential of the site with the design proposition for natural ventilation in terms of wind, temperature, humidity, noise and pollution conditions. All of the possible natural ventilation approaches and system designs are assessed by first applying constraints functions to each of the alternatives. Then the comparison of alternative approaches to natural ventilation continues by assessing the critical performance mandates that include energy savings, thermal comfort, acoustic control, indoor air quality and cost. Approaches are finally ranked based on their performance.Subjects--Topical Terms:
523581
Architecture.
A decision-support framework for design of natural ventilation in non-residential buildings.
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Source: Dissertation Abstracts International, Volume: 68-03, Section: A, page: 0765.
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Thesis (Ph.D.)--Virginia Polytechnic Institute and State University, 2007.
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This study develops a decision-support framework assisting the design of non-residential buildings with natural ventilation. The framework is composed of decision modules with input, analysis algorithms and output of natural ventilation design. The framework covers ventilation with natural driving force and mechanical-assisted ventilation. The framework has two major assessment levels: feasibility assessment and comparison of alternative natural ventilation approaches. The feasibility assessment modules assess the potential of the site with the design proposition for natural ventilation in terms of wind, temperature, humidity, noise and pollution conditions. All of the possible natural ventilation approaches and system designs are assessed by first applying constraints functions to each of the alternatives. Then the comparison of alternative approaches to natural ventilation continues by assessing the critical performance mandates that include energy savings, thermal comfort, acoustic control, indoor air quality and cost. Approaches are finally ranked based on their performance.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3258812
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