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Modeling multiple occupant behaviors...

Lee, Yoon Soo.

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Modeling multiple occupant behaviors in buildings for increased simulation accuracy: An agent-based modeling approach.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Modeling multiple occupant behaviors in buildings for increased simulation accuracy: An agent-based modeling approach./
Author:	Lee, Yoon Soo.
Description:	142 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-01(E), Section: A.
Contained By:	Dissertation Abstracts International75-01A(E).
Subject:	Architecture. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3594821
ISBN:	9781303396397

Modeling multiple occupant behaviors in buildings for increased simulation accuracy: An agent-based modeling approach.
Lee, Yoon Soo.

Modeling multiple occupant behaviors in buildings for increased simulation accuracy: An agent-based modeling approach. - 142 p.

Source: Dissertation Abstracts International, Volume: 75-01(E), Section: A.

Thesis (Ph.D.)--University of Pennsylvania, 2013.

The dissertation addresses the limitation of current building energy simulation programs in accounting for occupant behaviors, which have been identified as having significant impact on the overall building energy performance. It introduces a new simulation methodology using an agent-based modeling approach that helps to both predict real-world occupant behaviors observed in an operating building and to calculate behavior impact on energy use and occupant comfort. A series of experiments has been conducted using the new methodology and yielded simulation results that not only distinguish themselves from current simulation practices, but also uncover emerging phenomena that enhance the insights on building dynamics.

ISBN: 9781303396397Subjects--Topical Terms:

523581
Architecture.

Modeling multiple occupant behaviors in buildings for increased simulation accuracy: An agent-based modeling approach.
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100 1 $a Lee, Yoon Soo. $3 2095887
245 1 0 $a Modeling multiple occupant behaviors in buildings for increased simulation accuracy: An agent-based modeling approach.
300 $a 142 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-01(E), Section: A.
500 $a Advisers: Ali M. Malkawi; David E. Leatherbarrow.
502 $a Thesis (Ph.D.)--University of Pennsylvania, 2013.
520 $a The dissertation addresses the limitation of current building energy simulation programs in accounting for occupant behaviors, which have been identified as having significant impact on the overall building energy performance. It introduces a new simulation methodology using an agent-based modeling approach that helps to both predict real-world occupant behaviors observed in an operating building and to calculate behavior impact on energy use and occupant comfort. A series of experiments has been conducted using the new methodology and yielded simulation results that not only distinguish themselves from current simulation practices, but also uncover emerging phenomena that enhance the insights on building dynamics.
590 $a School code: 0175.
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650 4 $a Engineering, Architectural. $3 1671790
650 4 $a Energy. $3 876794
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710 2 $a University of Pennsylvania. $b Architecture. $3 2095402
773 0 $t Dissertation Abstracts International $g 75-01A(E).
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793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3594821