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dc.contributor.advisorBruland, Amund
dc.contributor.advisorAas, Bjørn
dc.contributor.advisorGeorges, Laurent
dc.contributor.advisorCarlucci, Salvatore
dc.contributor.authorSmedegård, Ole Øiene
dc.date.accessioned2023-06-07T09:36:10Z
dc.date.available2023-06-07T09:36:10Z
dc.date.issued2023
dc.identifier.isbn978-82-326-7089-5
dc.identifier.issn2703-8084
dc.identifier.urihttps://hdl.handle.net/11250/3070307
dc.description.abstractThis thesis treats the subject of increased energy efficiency in buildings. Swimming facilities, a building type designed for improving public health and well-being, are documented in the literature as having considerable potential for reducing energy consumption. Considering the building type as a complex building category, with all their inherently connected variables and processes, it is important to focus on both the design and the operational phases. This thesis is proposing a continuous rating system, as an operating tool. This can prevent costly operational flaws by quickly disclosing incidents and making the operation staff aware. In the context of energy use an energy prediction model was developed in this work that represents the baseline for the energy use in a swimming facility. The baseline represented the expected energy use for the considered time period. The model was found to be a powerful tool for continuous supervision of the energy performance of the facility. By applying this model, an operator can quickly reveal possible operational disruptions/irregularities. The energy prediction model produced in this work can easily be deployed either in a spreadsheet or in the building automation reporting system. It is therefore applicable for existing and new buildings which are equipped with thermal and electric energy meters. Regarding the design phase, this research addressed the paradox in the complexity of the building. While complex buildings such as swimming facilities should be analyzed by dynamic simulation tools in the planning phase, this is seldom done due to the demanding and time-consuming task of modeling such complex systems and phenomena. Therefore, a simplified model for simulation-based design of swimming facilities was developed and compared with a validated detailed model of a swimming pool air handling unit (AHU), which is the most complex device in a swimming facility. In conclusion, the results of this PhD project can contribute to more sustainable swimming facilities in existing and new buildings.en_US
dc.language.isoengen_US
dc.publisherNTNUen_US
dc.relation.ispartofseriesDoctoral theses at NTNU, 2023:194
dc.relation.haspartPaper 1: medegård, Ole Øiene; Aas, Bjørn; Stene, Jørn; Georges, Laurent; Carlucci, Salvatore. Systematic and data-driven literature review of the energy and indoor environmental performance of swimming facilities. Energy Efficiency 2021 ;Volum 14.(7) https://doi.org/10.1007/s12053-021-09985-6 This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0)en_US
dc.relation.haspartPaper 2: Smedegård, Ole Øiene; Jonsson, Thomas; Aas, Bjørn; Stene, Jørn; Georges, Laurent; Carlucci, Salvatore. The implementation of multiple linear regression for swimming pool facilities: Case study at Jøa, Norway. Energies 2021 ;Volum 14.(16) https://doi.org/10.3390/en14164825 This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.relation.haspartPaper 3: Analysis of the Model Complexity of Air Handling Units to Support Energy-Efficient Design of Indoor Swimming Pool Facilities is published in Energy and Buildings Volume 293, 15 August 2023, 113197 https://doi.org/10.1016/j.enbuild.2023.113197 Attribution 4.0 International (CC BY 4.0)en_US
dc.titleOptimizing Energy and Indoor Climate Systems in Swimming Facilitiesen_US
dc.typeDoctoral thesisen_US
dc.subject.nsiVDP::Technology: 500::Environmental engineering: 610en_US


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