The effect of occupant comfort preferences and use patterns on the space heating loads in the context of the next home unit
department or school: Applied Science, Faculty of
department or school: Architecture and Landscape Architecture (SALA), School of
data provider: DSpace
degree campus: UBCV
creator: Yusupov, Timor
issued: 2013-02-07T15:31:23Z
issued: 2013
related degree: Master of Advanced Studies in Architecture - MASA
degree grantor: University of British Columbia
description: The occupant plays an important role in residential energy consumption, and likewise, a critical part in energy conservation. Studies have shown that energy consumption in similar houses can vary significantly due to the occupant’s behaviour and household characteristics. Nevertheless, very few studies have focused on identifying the occupant driven parameters responsible for energy variations or on quantifying their impact. This study analyzes the impact of the occupant’s preferences of temperature settings, the number of thermostats used, the door operations, the use of window curtains, and the fenestration’s effect on the heating loads of a residential unit. This analysis quantifies the impact of each occupant related parameter as a function of various factors, including occupancy patterns, interior layouts, orientation, and volumetric occupation. The research answers the following questions: How significant is the influence of occupant behaviour on space heating loads? How does this vary with changes in occupancy patterns and spatial configurations? How significant is the influence of changes in fenestration on space heating loads relative to occupant behaviour? Seventeen design scenarios are generated, through which the impact of the occupant behaviour and her/his design preferences is evaluated. The results, which are generated using IES VE software, identify the impact of each occupant related parameter on the heating loads using the Next Home Unit as a model house, located in a Toronto climate. In general, the results show that the occupancy patterns, interior layout, and volumetric occupation can significantly change the impact of each occupant related parameter on a unit’s heating loads. On average, reducing a unit’s temperature from 23℃ to 18℃ or installing low e double glazed windows, most significantly reduces the heating loads. The lowest impact on the heating loads is found when changing the fenestration area and leaving the doors open. The study show…
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/43916
note: The effect of occupant comfort preferences and use patterns on the space heating loads in the context of the Next Home Unit by Timor Yusupov B.Arch., Wizo Design Academy 2009 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF APPLIED SCIENCE in The Faculty of Graduate Studies (Master of Advanced Studies in Architecture) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) February 2013 © Timor Yusupov, 2013 ii Abstract The occupant plays an important role in residential energy consumption, and likewise, a critical part in energy conservation. Studies have shown that energy consumption in similar houses can vary significantly due to the occupant’s behaviour and household characteristics. Nevertheless, very few studies have focused on identifying the occupant driven parameters responsible for energy variations or on quantifying their impact. This study analyzes the impact of the occupant’s preferences of temperature settings, the number of thermostats used, the door operations, the use of window curtains, and the fenestration’s effect on the heating loads of a residential unit. This analysis quantifies the impact of each occupant related parameter as a function of various factors, including occupancy patterns, interior layouts, orientation, and volumetric occupation. The research answers the following questions:  How significant is the influence of occupant behaviour on space heating loads?  How does this vary with changes in occupancy patterns and spatial configurations?  How significant is the influence of changes in fenestration on space heating loads relative to occupant behaviour? Seventeen design scenarios are generated, through which the impact of the occupant behaviour and her/his design preferences is evaluated. The results, which are generated using IES VE software, identify the impact of each occupant related parameter on the heating loads using the Next Home Unit as a model house, located in a Toronto climate. In general…
has type: Thesis/Dissertation
date issued: 2013-05
is shown at: 10.14288/1.0073569
language: eng
degree discipline: Architecture
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/43916