Sensitivity analysis of peak and annual space cooling load at simplified office dynamic building model

The focused investigation of building design is necessary to understand and quantify the implication of different design parameters on their energy performance. The design of future buildings is a major challenge, as current designs may be inappropriate in a future with global warming due to climate...

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Main Authors: Zeferina Vasco, Birch Christina, Edwards Rodger, Wood Ruth
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/37/e3sconf_clima2019_04038.pdf
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spelling doaj-6fa9b4e09d0e4da69002a1dbeeb1643b2021-02-02T04:47:40ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011110403810.1051/e3sconf/201911104038e3sconf_clima2019_04038Sensitivity analysis of peak and annual space cooling load at simplified office dynamic building modelZeferina Vasco0Birch Christina1Edwards Rodger2Wood Ruth3School of Mechanical, Aerospace and Civil Engineering, Pariser building, Sackville Street, University of ManchesterSchool of Mechanical, Aerospace and Civil Engineering, Pariser building, Sackville Street, University of ManchesterSchool of Mechanical, Aerospace and Civil Engineering, Pariser building, Sackville Street, University of ManchesterSchool of Mechanical, Aerospace and Civil Engineering, Pariser building, Sackville Street, University of ManchesterThe focused investigation of building design is necessary to understand and quantify the implication of different design parameters on their energy performance. The design of future buildings is a major challenge, as current designs may be inappropriate in a future with global warming due to climate change impacts. In addition this understanding is necessary to be able to predict timing and profile of future energy demand, which is crucial for the long-term planning of energy infrastructures – particularly electricity. In this paper, the Morris Elementary Effects method is used as a screening method, to identify the key parameters of the design and operation of office buildings that affect the estimation of space cooling peak load and annual energy demand. Internal heat gains, cooling set-point and ventilation rates are identified as the parameters with larger implications for both annual and peak space cooling demand. In future climate scenarios, the magnitude of change of annual space cooling demand is significantly (around five times) larger than the change in the peak demand. Asides from the potential increase of space cooling demand in future scenarios, the sensitivity of the space cooling demand relative to the change in design parameters is potentially much larger.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/37/e3sconf_clima2019_04038.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Zeferina Vasco
Birch Christina
Edwards Rodger
Wood Ruth
spellingShingle Zeferina Vasco
Birch Christina
Edwards Rodger
Wood Ruth
Sensitivity analysis of peak and annual space cooling load at simplified office dynamic building model
E3S Web of Conferences
author_facet Zeferina Vasco
Birch Christina
Edwards Rodger
Wood Ruth
author_sort Zeferina Vasco
title Sensitivity analysis of peak and annual space cooling load at simplified office dynamic building model
title_short Sensitivity analysis of peak and annual space cooling load at simplified office dynamic building model
title_full Sensitivity analysis of peak and annual space cooling load at simplified office dynamic building model
title_fullStr Sensitivity analysis of peak and annual space cooling load at simplified office dynamic building model
title_full_unstemmed Sensitivity analysis of peak and annual space cooling load at simplified office dynamic building model
title_sort sensitivity analysis of peak and annual space cooling load at simplified office dynamic building model
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description The focused investigation of building design is necessary to understand and quantify the implication of different design parameters on their energy performance. The design of future buildings is a major challenge, as current designs may be inappropriate in a future with global warming due to climate change impacts. In addition this understanding is necessary to be able to predict timing and profile of future energy demand, which is crucial for the long-term planning of energy infrastructures – particularly electricity. In this paper, the Morris Elementary Effects method is used as a screening method, to identify the key parameters of the design and operation of office buildings that affect the estimation of space cooling peak load and annual energy demand. Internal heat gains, cooling set-point and ventilation rates are identified as the parameters with larger implications for both annual and peak space cooling demand. In future climate scenarios, the magnitude of change of annual space cooling demand is significantly (around five times) larger than the change in the peak demand. Asides from the potential increase of space cooling demand in future scenarios, the sensitivity of the space cooling demand relative to the change in design parameters is potentially much larger.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/37/e3sconf_clima2019_04038.pdf
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AT birchchristina sensitivityanalysisofpeakandannualspacecoolingloadatsimplifiedofficedynamicbuildingmodel
AT edwardsrodger sensitivityanalysisofpeakandannualspacecoolingloadatsimplifiedofficedynamicbuildingmodel
AT woodruth sensitivityanalysisofpeakandannualspacecoolingloadatsimplifiedofficedynamicbuildingmodel
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