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dc.contributor.authorZuhaib, Sheikh
dc.contributor.authorHajdukiewicz, Magdalena
dc.contributor.authorGoggins, Jamie
dc.date.accessioned2019-08-20T13:13:43Z
dc.date.issued2019-07-10
dc.identifier.citationZuhaib, Sheikh, Hajdukiewicz, Magdalena, & Goggins, Jamie. (2019). Application of a staged automated calibration methodology to a partially-retrofitted university building energy model. Journal of Building Engineering, 26, 100866. doi: https://doi.org/10.1016/j.jobe.2019.100866en_IE
dc.identifier.issn2352-7102
dc.identifier.urihttp://hdl.handle.net/10379/15332
dc.description.abstractDeep-retrofit planning for existing buildings demands high accuracy in energy modelling prediction that minimises the gap between actual and simulated scenarios. A large set of interacting variables and uncertainties in energy performance modelling causes perturbations that can be minimised via model calibration. In this work, a novel multi-stage automated calibration methodology was developed using a case study of a partially-retrofitted university building (>35 yrs old) in Ireland. The methodology enables the analysis of models for Indoor Environmental Quality (IEQ) variables along with energy demand. Due to the higher number of uncertainties in the model, a sensitivity analysis was conducted on the model that is both calibrated and validated as per ASHRAE Guide 14 indices of Cv(RMSE) and NMBE. The calibration process was automated using the optimisation algorithm NSGA-II with two sets of reference data i.e. monthly utility and hourly indoor air temperature. Results demonstrate that using only utility data for calibration did not result in accurate predictions of the thermal environment; thus, a second stage was used to improve the model prediction giving a Cv(RMSE)hourly = 17.0–25.5% and NMBEhourly = 3.6–10.0% for indoor air temperature across multiple zones. This paper demonstrates an effective staged approach for creating calibrated models of old buildings under high uncertainty that can be used to influence large-scale decision making for retrofits focused on improving indoor environment quality and energy performance.en_IE
dc.description.sponsorshipThe authors would like to acknowledge financial support from Science Foundation Ireland (Grant No. 13/CDA/2200) and European Union’s Horizon 2020 Built2Spec project (Grant No. 637221). The authors would also like to thank all the participants of survey from the case study building and the Buildings & Estates Office at NUI Galway for facilitating the data required in this research. The authors would also like to acknowledge Prof Corey Griffin for his input into the early stages of model development.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherElsevieren_IE
dc.relation.ispartofJournal of Building Engineeringen
dc.subjectCalibrationen_IE
dc.subjectSensitivity analysisen_IE
dc.subjectEnergy efficiencyen_IE
dc.subjectBuilding energy modelen_IE
dc.subjectOptimisationen_IE
dc.subjectRetrofiten_IE
dc.subjectSimulationen_IE
dc.titleApplication of a staged automated calibration methodology to a partially-retrofitted university building energy modelen_IE
dc.typeArticleen_IE
dc.date.updated2019-07-29T10:21:06Z
dc.identifier.doi10.1016/j.jobe.2019.100866
dc.local.publishedsourcehttps://doi.org/10.1016/j.jobe.2019.100866en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderHorizon 2020en_IE
dc.description.embargo2021-07-10
dc.internal.rssid16884983
dc.local.contactMagdalena Hajdukiewicz, Civil Engineering Eng 1023, Engineering Building, College Of Eng & Informatics, Nui Galway. Email: magdalena.hajdukiewicz@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Career Development Award/13/CDA/2200/IE/Achieving nearly zero energy buildings - A life cycle assessment approach to retrofitting existing buildings (acronym: nZEB-RETROFIT)/en_IE
dcterms.projectinfo:eu-repo/grantAgreement/EC/H2020::RIA/637221/EU/Built to Specifications: Self-Inspection, 3D Modelling, Management and Quality-Check Tools for the 21st Century Construction Worksite/Built2Specen_IE
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