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 Haris; O'Grady, Walter; Ali, Usman; O'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 models; RC network models; Energy management; Optimization models; Building simulation||DOI:||10.1016/j.egypro.2017.07.401||Language:||en||Status of Item:||Not peer reviewed||Is part of:||Scartezzini, J-L. (ed.).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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