A generalization approach for reduced order modelling of commercial buildings

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Title: A generalization approach for reduced order modelling of commercial buildings
Authors: Shamsi, Mohammad HarisAli, UsmanO'Donnell, James
Permanent link: http://hdl.handle.net/10197/10996
Date: 26-Jul-2019
Online since: 2019-08-20T07:05:19Z
Abstract: Energy-efficient retrofits have become crucial in building sector as approximately 80% of buildings in developed countries are over 10 years old. Building simulation tools are now being used to provide estimates of energy consumption and implement various models which differ on the basis of enclosed details. Not all of these models are effective in terms of computation and the associated computational costs. This work devises a novel and generalized reduced-order grey-box modelling approach to predict the thermal behaviour of commercial buildings. The generalization approach reduces the order/complexity of model and lays out a general structure to obtain reduced-order models based on easily identifiable building metrics. We also implemented a forward-selection procedure to compare results obtained using a metrics-based approach. The network order obtained using metrics-based approach matches with the network order predicted by the forward selection procedure. The generalized structure would reduce the complexities involved in the dynamic simulation of urban building stock.
Funding Details: Science Foundation Ireland
metadata.dc.description.othersponsorship: ESIPP UCD
Type of material: Journal Article
Publisher: Informa UK Limited
Journal: Journal of Building Performance Simulation
Volume: 12
Issue: 6
Start page: 729
End page: 744
Keywords: Energy modellingReduced-order modelsCommercial buildingsThermal network RC models
DOI: 10.1080/19401493.2019.1641554
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection
Energy Institute Research Collection

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