Application of Partial Safety Factorsin Building Energy Performance Assessment

Henrik Brohus, Per Heiselberg, A. Hesselholt, H. Rasmussen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

In practise many buildings show significant deviation between the predicted annual energy consumption and the actual energy consumption. One of the main reasons for the discrepancy is the difference between the assumptions made during the calculations and the actual conditions including occupants' behaviour.

This paper presents two methods to consider uncertainty and spread of energy consumption calculations in practise, namely a simulation approach and a safety factor approach.

A simulation approach is investigated using Monte Carlo analysis where a comprehensive list of stochastic input parameters is evaluated by sensitivity and uncertainty analysis to develop a significantly reduced set of stochastic input parameters.

The safety factor approach provides a means of enforcing the maximum allowed energy consumption in the building code by multiplying the maximum limit by a partial safety factor to obtain a design energy consumption that can be used for the usual energy calculations.

Original languageEnglish
Title of host publicationBuilding Simulation 2009 : University of Stractclyde, Glosgow, 27th-30th July : Proceedings of the 11th International Building Performance Simulation Association Conference
EditorsPaul A. Strachan, Nick J. Kelly, Michaël Kummert
PublisherThe International Building Performance Simulation Association Conference
Publication date2009
Pages1014-1021
ISBN (Print)978-0-947649-40-1
Publication statusPublished - 2009
EventThe International Building Performance Simulation Association Conference (IBPSA) - Glasgow, United Kingdom
Duration: 27 Jul 200930 Jul 2009
Conference number: 11

Conference

ConferenceThe International Building Performance Simulation Association Conference (IBPSA)
Number11
CountryUnited Kingdom
CityGlasgow
Period27/07/200930/07/2009

Bibliographical note

Published on a DVD.

Cite this

Brohus, H., Heiselberg, P., Hesselholt, A., & Rasmussen, H. (2009). Application of Partial Safety Factorsin Building Energy Performance Assessment. In P. A. Strachan, N. J. Kelly, & M. Kummert (Eds.), Building Simulation 2009 : University of Stractclyde, Glosgow, 27th-30th July: Proceedings of the 11th International Building Performance Simulation Association Conference (pp. 1014-1021). The International Building Performance Simulation Association Conference.
Brohus, Henrik ; Heiselberg, Per ; Hesselholt, A. ; Rasmussen, H. / Application of Partial Safety Factorsin Building Energy Performance Assessment. Building Simulation 2009 : University of Stractclyde, Glosgow, 27th-30th July: Proceedings of the 11th International Building Performance Simulation Association Conference. editor / Paul A. Strachan ; Nick J. Kelly ; Michaël Kummert. The International Building Performance Simulation Association Conference, 2009. pp. 1014-1021
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title = "Application of Partial Safety Factorsin Building Energy Performance Assessment",
abstract = "In practise many buildings show significant deviation between the predicted annual energy consumption and the actual energy consumption. One of the main reasons for the discrepancy is the difference between the assumptions made during the calculations and the actual conditions including occupants' behaviour.This paper presents two methods to consider uncertainty and spread of energy consumption calculations in practise, namely a simulation approach and a safety factor approach.A simulation approach is investigated using Monte Carlo analysis where a comprehensive list of stochastic input parameters is evaluated by sensitivity and uncertainty analysis to develop a significantly reduced set of stochastic input parameters.The safety factor approach provides a means of enforcing the maximum allowed energy consumption in the building code by multiplying the maximum limit by a partial safety factor to obtain a design energy consumption that can be used for the usual energy calculations.",
author = "Henrik Brohus and Per Heiselberg and A. Hesselholt and H. Rasmussen",
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language = "English",
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Brohus, H, Heiselberg, P, Hesselholt, A & Rasmussen, H 2009, Application of Partial Safety Factorsin Building Energy Performance Assessment. in PA Strachan, NJ Kelly & M Kummert (eds), Building Simulation 2009 : University of Stractclyde, Glosgow, 27th-30th July: Proceedings of the 11th International Building Performance Simulation Association Conference. The International Building Performance Simulation Association Conference, pp. 1014-1021, Glasgow, United Kingdom, 27/07/2009.

Application of Partial Safety Factorsin Building Energy Performance Assessment. / Brohus, Henrik; Heiselberg, Per; Hesselholt, A.; Rasmussen, H.

Building Simulation 2009 : University of Stractclyde, Glosgow, 27th-30th July: Proceedings of the 11th International Building Performance Simulation Association Conference. ed. / Paul A. Strachan; Nick J. Kelly; Michaël Kummert. The International Building Performance Simulation Association Conference, 2009. p. 1014-1021.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - Application of Partial Safety Factorsin Building Energy Performance Assessment

AU - Brohus, Henrik

AU - Heiselberg, Per

AU - Hesselholt, A.

AU - Rasmussen, H.

N1 - Published on a DVD.

PY - 2009

Y1 - 2009

N2 - In practise many buildings show significant deviation between the predicted annual energy consumption and the actual energy consumption. One of the main reasons for the discrepancy is the difference between the assumptions made during the calculations and the actual conditions including occupants' behaviour.This paper presents two methods to consider uncertainty and spread of energy consumption calculations in practise, namely a simulation approach and a safety factor approach.A simulation approach is investigated using Monte Carlo analysis where a comprehensive list of stochastic input parameters is evaluated by sensitivity and uncertainty analysis to develop a significantly reduced set of stochastic input parameters.The safety factor approach provides a means of enforcing the maximum allowed energy consumption in the building code by multiplying the maximum limit by a partial safety factor to obtain a design energy consumption that can be used for the usual energy calculations.

AB - In practise many buildings show significant deviation between the predicted annual energy consumption and the actual energy consumption. One of the main reasons for the discrepancy is the difference between the assumptions made during the calculations and the actual conditions including occupants' behaviour.This paper presents two methods to consider uncertainty and spread of energy consumption calculations in practise, namely a simulation approach and a safety factor approach.A simulation approach is investigated using Monte Carlo analysis where a comprehensive list of stochastic input parameters is evaluated by sensitivity and uncertainty analysis to develop a significantly reduced set of stochastic input parameters.The safety factor approach provides a means of enforcing the maximum allowed energy consumption in the building code by multiplying the maximum limit by a partial safety factor to obtain a design energy consumption that can be used for the usual energy calculations.

M3 - Article in proceeding

SN - 978-0-947649-40-1

SP - 1014

EP - 1021

BT - Building Simulation 2009 : University of Stractclyde, Glosgow, 27th-30th July

A2 - Strachan, Paul A.

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PB - The International Building Performance Simulation Association Conference

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Brohus H, Heiselberg P, Hesselholt A, Rasmussen H. Application of Partial Safety Factorsin Building Energy Performance Assessment. In Strachan PA, Kelly NJ, Kummert M, editors, Building Simulation 2009 : University of Stractclyde, Glosgow, 27th-30th July: Proceedings of the 11th International Building Performance Simulation Association Conference. The International Building Performance Simulation Association Conference. 2009. p. 1014-1021