東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Life cycle cost optimization of a bu...

Han, Guiyuan.

Linked to FindBook

Google Book

Amazon

博客來

Life cycle cost optimization of a building enclosure system with respect to wind pressure loads.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Life cycle cost optimization of a building enclosure system with respect to wind pressure loads./
Author:	Han, Guiyuan.
Description:	104 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.
Contained By:	Dissertation Abstracts International75-11B(E).
Subject:	Engineering, Architectural. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3583360
ISBN:	9781321147902

Life cycle cost optimization of a building enclosure system with respect to wind pressure loads.
Han, Guiyuan.

Life cycle cost optimization of a building enclosure system with respect to wind pressure loads. - 104 p.

Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.

Thesis (Ph.D.)--The Pennsylvania State University, 2014.

Buildings contribute to a significant fraction of the total energy cost during all processes of its life span. Also, buildings are dynamic, non-linear systems with a large number of components that strongly influence total building energy consumption. For instance, air infiltration rates directly impact the building energy consumption to a larger or smaller degree depending on the tightness of building enclosure and Heating Ventilation and Air Conditioning (HVAC) system operation. Therefore, it is challenging to find an optimal combination of building components to minimize the building life cycle cost (LCC).

ISBN: 9781321147902Subjects--Topical Terms:

1671790
Engineering, Architectural.

Life cycle cost optimization of a building enclosure system with respect to wind pressure loads.
LDR:02653nam a2200301 4500 001 1963055
005 20140924121925.5
008 150210s2014 ||||||||||||||||| ||eng d
020 $a 9781321147902
035 $a (MiAaPQ)AAI3583360
035 $a AAI3583360
040 $a MiAaPQ $c MiAaPQ
100 1 $a Han, Guiyuan. $3 2099218
245 1 0 $a Life cycle cost optimization of a building enclosure system with respect to wind pressure loads.
300 $a 104 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.
500 $a Adviser: Jelena Srebric.
502 $a Thesis (Ph.D.)--The Pennsylvania State University, 2014.
520 $a Buildings contribute to a significant fraction of the total energy cost during all processes of its life span. Also, buildings are dynamic, non-linear systems with a large number of components that strongly influence total building energy consumption. For instance, air infiltration rates directly impact the building energy consumption to a larger or smaller degree depending on the tightness of building enclosure and Heating Ventilation and Air Conditioning (HVAC) system operation. Therefore, it is challenging to find an optimal combination of building components to minimize the building life cycle cost (LCC).
520 $a Databases have become main source of operating energy in building life cycle analysis (LCA) studies. Current energy simulation uses averaged wind pressure distribution profile in infiltration rates calculation, which can only partially reflect the characters of the specific building. Therefore, the objective of this study is to propose a life cycle optimization framework of building enclosure system with energy simulation accounting for time-dependent infiltration rates.
520 $a Based on a detailed review, this study first developed a life cycle optimization framework by combining optimization algorithm and building life cycle analysis. The life cycle analysis will include all the phases during a building's life span. Specifically, the operating energy cost is the result of building energy simulation associating with the time-dependent infiltration rates calculation. Additionally, the key parameters of enclosure system are also deplored based on the results of survey and numerical sensitivity analysis. Finally, a case study based on an office building is developed to demonstrate the framework.
590 $a School code: 0176.
650 4 $a Engineering, Architectural. $3 1671790
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0462
690 $a 0548
710 2 $a The Pennsylvania State University. $b Architectural Engineering. $3 2099219
773 0 $t Dissertation Abstracts International $g 75-11B(E).
790 $a 0176
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3583360