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Exploring Energy-Related Occupant Be...

Caglayan, Irem,

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Exploring Energy-Related Occupant Behavior in Office Buildings: An Interdisciplinary Study in the Context of Building Physics and Social Psychology = = Ofis binalarinda enerji Ile Ilgili kullanici davranislarinin arastirilmasi: Bina fizigi ve sosyal psikoloji baglaminda disiplinler arasi bir calisma /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Exploring Energy-Related Occupant Behavior in Office Buildings: An Interdisciplinary Study in the Context of Building Physics and Social Psychology =/ Irem Caglayan.
Reminder of title:	Ofis binalarinda enerji Ile Ilgili kullanici davranislarinin arastirilmasi: Bina fizigi ve sosyal psikoloji baglaminda disiplinler arasi bir calisma /
Author:	Caglayan, Irem,
Description:	1 electronic resource (243 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-08, Section: A.
Contained By:	Dissertations Abstracts International86-08A.
Subject:	Energy efficiency. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31874306
ISBN:	9798304921183

Exploring Energy-Related Occupant Behavior in Office Buildings: An Interdisciplinary Study in the Context of Building Physics and Social Psychology = = Ofis binalarinda enerji Ile Ilgili kullanici davranislarinin arastirilmasi: Bina fizigi ve sosyal psikoloji baglaminda disiplinler arasi bir calisma /
Caglayan, Irem,

Exploring Energy-Related Occupant Behavior in Office Buildings: An Interdisciplinary Study in the Context of Building Physics and Social Psychology =Ofis binalarinda enerji Ile Ilgili kullanici davranislarinin arastirilmasi: Bina fizigi ve sosyal psikoloji baglaminda disiplinler arasi bir calisma /Irem Caglayan. - 1 electronic resource (243 pages)

Source: Dissertations Abstracts International, Volume: 86-08, Section: A.

This thesis presents a novel approach to occupant behavior (OB) modeling in office buildings by integrating psycho-social behavioral clusters with environmental parameters through fuzzy logic modeling. Traditional building performance simulations often rely on static and generalized assumptions, which fail to capture the dynamic and complex nature of human behavior in energy use, contributing to the energy performance gap. This research addresses this challenge through a three-step methodology: (1) online study, (2) field study, and (3) fuzzy logic modeling. Each step informs the next, culminating in a holistic framework for more accurate energy performance predictions.In Step 01, three distinct behavioral clusters were developed using the Theory of Planned Behavior, Self-Determination Theory, and habit and comfort constructs, capturing different energy-saving tendencies, motivation, and comfort needs. Step 02 mapped these clusters against environmental parameters-outdoor and indoor temperature, humidity, and CO₂ levels-to create a dynamic, context-responsive model of occupant actions. Finally, Step 03 implemented a fuzzy logic system in MATLAB, designed to integrate with EnergyPlus™ via its Energy Management System (EMS). This integration enables real-time simulation of occupant responses to environmental shifts, incorporating psycho-social influences and seasonal variations, thereby improving the precision and adaptability of energy consumption forecasts.

English

ISBN: 9798304921183Subjects--Topical Terms:

3555643
Energy efficiency.
Subjects--Index Terms:

Building simulation tools

Exploring Energy-Related Occupant Behavior in Office Buildings: An Interdisciplinary Study in the Context of Building Physics and Social Psychology = = Ofis binalarinda enerji Ile Ilgili kullanici davranislarinin arastirilmasi: Bina fizigi ve sosyal psikoloji baglaminda disiplinler arasi bir calisma /
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500 $a Advisors: Afacan, Yasemin; Sakin, Mehmet Committee members: Altay, Burcak; Colakoglu, Birgul; Kayacetin, Nuri Cihan; Borekci, Naz Ayse Guzide Zehra.
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520 $a This thesis presents a novel approach to occupant behavior (OB) modeling in office buildings by integrating psycho-social behavioral clusters with environmental parameters through fuzzy logic modeling. Traditional building performance simulations often rely on static and generalized assumptions, which fail to capture the dynamic and complex nature of human behavior in energy use, contributing to the energy performance gap. This research addresses this challenge through a three-step methodology: (1) online study, (2) field study, and (3) fuzzy logic modeling. Each step informs the next, culminating in a holistic framework for more accurate energy performance predictions.In Step 01, three distinct behavioral clusters were developed using the Theory of Planned Behavior, Self-Determination Theory, and habit and comfort constructs, capturing different energy-saving tendencies, motivation, and comfort needs. Step 02 mapped these clusters against environmental parameters-outdoor and indoor temperature, humidity, and CO₂ levels-to create a dynamic, context-responsive model of occupant actions. Finally, Step 03 implemented a fuzzy logic system in MATLAB, designed to integrate with EnergyPlus™ via its Energy Management System (EMS). This integration enables real-time simulation of occupant responses to environmental shifts, incorporating psycho-social influences and seasonal variations, thereby improving the precision and adaptability of energy consumption forecasts.
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650 4 $a Indoor environmental quality. $3 3821455
650 4 $a Energy consumption. $3 631630
653 $a Building simulation tools
653 $a Energy efficiency
653 $a Environmental parameters
653 $a Energy performance gap
653 $a Occupant behavior
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690 $a 0729
710 2 $a Bilkent Universitesi (Turkey). $e degree granting institution. $3 3767555
720 1 $a Afacan, Yasemin $e degree supervisor.
720 1 $a Sakin, Mehmet $e degree supervisor.
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