Show simple item record

dc.contributor.advisorLaurenson, David
dc.contributor.advisorUsmani, Asif
dc.contributor.authorSeeam, Amar Kumar
dc.date.accessioned2016-08-29T08:32:33Z
dc.date.available2016-08-29T08:32:33Z
dc.date.issued2015-11-26
dc.identifier.urihttp://hdl.handle.net/1842/16196
dc.description.abstractBuildings are responsible for a significant portion of energy consumption worldwide. Intelligent buildings have been devised as a potential solution, where energy consumption and building use are harmonised. At the heart of the intelligent building is the building energy management system (BEMS), the central platform which manages and coordinates all the building monitoring and control subsystems, such as heating and lighting loads. There is often a disconnect between the BEMS and the building it is installed in, leading to inefficient operation, due to incongruous commissioning of sensors and control systems. In these cases, the BEMS has a lack of knowledge of the building form and function, requiring further complex optimisation, to facilitate efficient all year round operation. Flawed BEMS configurations can then lead to ‘sick buildings’. Recently, building energy performance simulation (BEPS) has been viewed as a conceptual solution to assist in efficient building control. Building energy simulation models offer a virtual environment to test many scenarios of BEMS operation strategies and the ability to quickly evaluate their effects on energy consumption and occupant comfort. Challenges include having an accurate building model, but recent advances in building information modelling (BIM) offer the chance to leverage existing building data, which can be translated into a form understood by the building simulator. This study will address these challenges, by developing and integrating a BEMS, with a BIM for BEPS assisted predictive control, and assessing the outcome and potential of the integration.en
dc.contributor.sponsorotheren
dc.language.isoenen
dc.publisherThe University of Edinburghen
dc.relation.hasversionSeeam, A., Zheng, T., Laurenson, D., Lu, Y. and Usmani, A. (2013a). Structural Health Monitoring And Simulation Assisted Building Management Systems For Modular Buildings. In The 6th International Conference on Structural Health Monitoring of Intelligent Infrastructure.en
dc.relation.hasversionSeeam, A., Zheng, T., Lu, Y., Usmani, A. and Laurenson, D. (2013b). BIM Integrated Workflow Management and Monitoring System for Modular Buildings. International Journal of 3-D Information Modeling, 2, 1728.en
dc.relation.hasversionSeeam, A., Zheng, T., Lu, Y., Usmani, A. and Laurenson, D. (2011) . An Integrated Monitoring System For Modular Buildings. In The 5th International Conference on Structural Health Monitoring of Intelligent Infrastructure.en
dc.subjectbuilding energy management systemsen
dc.subjectBEMSen
dc.subjectbuilding conditionsen
dc.subjectbuilding simulationen
dc.subjectmodelling buildingsen
dc.titleValidation of a building simulation tool for predictive control in energy management systemsen
dc.typeThesis or Dissertationen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnamePhD Doctor of Philosophyen


Files in this item

This item appears in the following Collection(s)

Show simple item record