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 HarisO'Grady, WalterAli, UsmanO'Donnell, James
Permanent link: http://hdl.handle.net/10197/11005
Date: Sep-2017
Online since: 2019-08-20T10:32:07Z
Abstract: Grey-box techniques can counter the computational inefficiency and resource-intensive nature of the conventional complex white-box models. However, these approaches might tend to be too specific in their application and scalability is limited by network order. To overcome these challenges, this study proposes a generalized approach for selection of reduced-order RC network models for commercial buildings using the peak power consumption characterization. The devised methodology is used to design the RC networks of buildings connected to district heating network at University College Dublin. The close proximity between measured and simulated demand indicate the influence of power demand on RC network selection.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Elsevier BV
Volume: 122
Start page: 901
End page: 906
Copyright (published version): 2017 the Authors
Keywords: Grey-box modelsRC network modelsEnergy managementOptimization modelsBuilding simulation
DOI: 10.1016/j.egypro.2017.07.401
Language: en
Status of Item: Not peer reviewed
Is part of: Scartezzini, J-L. (ed.). CISBAT 2017 International Conference Future Buildings & Districts – Energy Efficiency from Nano to Urban Scale
Conference Details: CISBAT 2017 International Conference – Future Buildings & Districts – Energy Efficiency from Nano to Urban Scale, Lausanne, Switzerland, 6-8 September 2017
Appears in Collections:Mechanical & Materials Engineering Research Collection
Energy Institute Research Collection

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