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Optimizing the sustainability of sin...

Karatas, Aslihan.

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Optimizing the sustainability of single-family housing units.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimizing the sustainability of single-family housing units./
作者:	Karatas, Aslihan.
面頁冊數:	178 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-04(E), Section: B.
Contained By:	Dissertation Abstracts International76-04B(E).
標題:	Civil engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3646542
ISBN:	9781321365542

Optimizing the sustainability of single-family housing units.
Karatas, Aslihan.

Optimizing the sustainability of single-family housing units. - 178 p.

Source: Dissertation Abstracts International, Volume: 76-04(E), Section: B.

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2014.

This item is not available from ProQuest Dissertations & Theses.

The sustainability of housing units can be improved by optimizing their social, environmental, and economic performances. The integration of green building equipment and systems such as geothermal heat pumps and water-efficient faucets often improves the social and environmental performances of housing units; however they can increase their initial cost and life cycle cost. Therefore, decision-makers need to carefully analyze and optimize the potential tradeoffs between the social, environmental, and economic performances of housing units.

ISBN: 9781321365542Subjects--Topical Terms:

860360
Civil engineering.

Optimizing the sustainability of single-family housing units.
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245 1 0 $a Optimizing the sustainability of single-family housing units.
300 $a 178 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-04(E), Section: B.
500 $a Adviser: Khaled El-Rayes.
502 $a Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2014.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a The sustainability of housing units can be improved by optimizing their social, environmental, and economic performances. The integration of green building equipment and systems such as geothermal heat pumps and water-efficient faucets often improves the social and environmental performances of housing units; however they can increase their initial cost and life cycle cost. Therefore, decision-makers need to carefully analyze and optimize the potential tradeoffs between the social, environmental, and economic performances of housing units.
520 $a The main goal of this study is to develop novel multi-objective models for optimizing the sustainability of single-family housing units that represent 66% of the residential housing inventory in the US. To accomplish this goal, the research objectives of this study are to develop (1) an innovative housing social impact model that is capable of generating and analyzing optimal tradeoffs between the social quality of life for housing residents and the life cycle cost of housing; (2) a novel housing environmental performance model for maximizing the environmental performance of housing units while minimizing their initial cost; (3) a multi-objective optimization model that provides the capability of generating optimal tradeoffs among the three housing sustainability objectives of social quality-of-life, environmental performance, and life cycle cost; and (4) a scalable and expandable parallel computing framework that provides the capability of reducing the computational time of optimizing housing sustainability decisions and transforming this optimization problem from an intractable problem to a feasible and practical one.
520 $a The performances of these developed models and framework were analyzed and refined using case studies of single-family housing units. The results of these performance evaluations illustrated that the developed optimization models were capable of generating a wide range of optimal solutions, where each identifies an optimal configuration of design and construction decisions that provides an optimal tradeoff among the three housing sustainability objectives. These novel research models and framework are expected to enhance the current practice of housing design and construction and contribute to maximizing the sustainability of single-family housing units.
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792 $a 2014
793 $a English
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