Definition of a useful minimal-set of accurately-specified input data for Building Energy Performance Simulation

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Title: Definition of a useful minimal-set of accurately-specified input data for Building Energy Performance Simulation
Authors: Egan, JamesFinn, DonalDeogene Soares, Pedro HenriqueRocha Baumann, Victor AndreasAghamolaei, ReihanehBeagon, PaulNeu, OlivierPallonetto, FabianoO'Donnell, James
Permanent link: http://hdl.handle.net/10197/11002
Date: 15-Apr-2018
Online since: 2019-08-20T10:04:30Z
Abstract: Developing BEPS models which predict energy usage to a high degree of accuracy can be extremely time consuming. As a result, assumptions are often made regarding the input data required. Making these assumptions without introducing a significant amount of uncertainty to the model can be difficult, and requires experience. Even so, rules of thumb from one geographic region are not automatically transferrable to other regions. This paper develops a methodology which can be used to determine useful guidelines for defining the most influential input data for an accurate BEPS model. Differential sensitivity analysis is carried out on parametric data gathered from five archetype dwelling models. The sensitivity analysis results are used in order to form a guideline minimum set of accurately defined input data. Although the guidelines formed apply specifically to Irish residential dwellings, the methodology and processes used in defining the guidelines is highly repeatable. The guideline minimum data set was applied to practical examples in order to be validated. Existing buildings were modelled, and only the parameters within the minimum data set are accurately defined. All building models predict annual energy usage to within 10% of actual measured data, with seasonal energy profiles well-matching.
Funding Details: European Commission - Seventh Framework Programme (FP7)
Science Foundation Ireland
Type of material: Journal Article
Publisher: Elsevier BV
Journal: Energy and Buildings
Volume: 165
Issue: Automation in Construction 41 0 2014
Start page: 172
End page: 183
Copyright (published version): 2018 Elsevier
Keywords: Building simulationSensitivity analysisInfluence coefficientSimulation accuracyInput data
DOI: 10.1016/j.enbuild.2018.01.012
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection
Energy Institute Research Collection

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