Sensitivity Analysis Applied in Design of Low Energy Office Building

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Abstract

Building performance can be expressed by different indicators as primary energy use, environmental load and/or the indoor environmental quality and a building performance simulation can provide the decision maker with a quantitative measure of the extent to which an integrated design solution satisfies the design requirements and objectives.

In the design of sustainable Buildings it is beneficial to identify the most important design parameters in order to develop more efficiently alternative design solutions or reach optimized design solutions.

A sensitivity analysis makes it possible to identify the most important parameters in relation to building performance and to focus design and optimization of sustainable buildings on these fewer, but most important parameters. The sensitivity analyses will typically be performed at a reasonably early stage of the building design process, where it is still possible to influence the important parameters. The methodology is presented and an application example is given for design of an office building in Denmark.

Original languageEnglish
Title of host publicationThe 29th AIVC Conference in 2008 : Advanced building ventilation and environmental technology for addressing climate change issues : 14-16 October 2008, Kyoto Japan : Proceedings Volume 2
Number of pages8
PublisherAIVC
Publication date2008
Pages33-40
ISBN (Print)2930471271
Publication statusPublished - 2008
EventThe AIVC Conference : Advanced building ventilation and environmental technology for addressing climate change issues - Kyoto, Japan
Duration: 14 Oct 200816 Oct 2008
Conference number: 29

Conference

ConferenceThe AIVC Conference : Advanced building ventilation and environmental technology for addressing climate change issues
Number29
Country/TerritoryJapan
CityKyoto
Period14/10/200816/10/2008

Bibliographical note

AIVC (Air Infiltration and Ventilation Centre)

Keywords

  • Low energi
  • Office buildings
  • Design
  • Sensitivity analysis

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