dc.contributor.advisor | Laurenson, David | en |
dc.contributor.advisor | Usmani, Asif | en |
dc.contributor.author | Seeam, Amar Kumar | en |
dc.date.accessioned | 2016-08-29T08:32:33Z | |
dc.date.available | 2016-08-29T08:32:33Z | |
dc.date.issued | 2015-11-26 | |
dc.identifier.uri | http://hdl.handle.net/1842/16196 | |
dc.description.abstract | Buildings 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.sponsor | other | en |
dc.language.iso | en | |
dc.publisher | The University of Edinburgh | en |
dc.relation.hasversion | Seeam, 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.hasversion | Seeam, 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.hasversion | Seeam, 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.subject | building energy management systems | en |
dc.subject | BEMS | en |
dc.subject | building conditions | en |
dc.subject | building simulation | en |
dc.subject | modelling buildings | en |
dc.title | Validation of a building simulation tool for predictive control in energy management systems | en |
dc.type | Thesis or Dissertation | en |
dc.type.qualificationlevel | Doctoral | en |
dc.type.qualificationname | PhD Doctor of Philosophy | en |