Indefinite. Restriction lift date: 10000-01-01
The application of computer modelling to develop a methodology for ‘existing building’ upgrades to move towards carbon-neutral buildings
dc.check.date | 10000-01-01 | |
dc.check.embargoformat | Both hard copy thesis and e-thesis | en |
dc.check.entireThesis | Entire Thesis Restricted | |
dc.check.info | Indefinite | en |
dc.check.opt-out | Yes | en |
dc.check.reason | This thesis is due for publication or the author is actively seeking to publish this material | en |
dc.contributor.advisor | O'Sullivan, Dominic | en |
dc.contributor.author | Murray, Sean Noel | |
dc.date.accessioned | 2015-11-05T09:17:15Z | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014 | |
dc.description.abstract | The retrofitting of existing buildings for decreased energy usage, through increased energy efficiency and for minimum carbon dioxide emissions throughout their remaining lifetime is a major area of research. This research area requires development to provide building professionals with more efficient building retrofit solution determination tools. The overarching objective of this research is to develop a tool for this purpose through the implementation of a prescribed methodology. This has been achieved in three distinct steps. Firstly, the concept of using the degree-days modelling method as an adequate means of basing retrofit decision upon was analysed and the results illustrated that the concept had merit. Secondly, the concept of combining the degree-days modelling method and the Genetic Algorithms optimisation method is investigated as a method of determining optimal thermal energy retrofit solutions. Thirdly, the combination of the degree-days modelling method and the Genetic Algorithms optimisation method were packaged into a building retrofit decision-support tool and named BRaSS (Building Retrofit Support Software). The results demonstrate clearly that, fundamental building information, simplified occupancy profiles and weather data used in a static simulation modelling method is a sufficient and adequate means to base retrofitting decisions upon. The results also show that basing retrofit decisions upon energy analysis results are the best means to guide a retrofit project and also to achieve results which are optimum for a particular building. The results also indicate that the building retrofit decision-support tool, BRaSS, is an effective method to determine optimum thermal energy retrofit solutions. | en |
dc.description.status | Not peer reviewed | en |
dc.description.version | Accepted Version | |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Murray, S. N. 2014. The application of computer modelling to develop a methodology for ‘existing building’ upgrades to move towards carbon-neutral buildings. PhD Thesis, University College Cork. | en |
dc.identifier.uri | https://hdl.handle.net/10468/2031 | |
dc.language.iso | en | en |
dc.publisher | University College Cork | en |
dc.rights | © 2014, Sean N. Murray. | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ | en |
dc.subject | BRaSS | en |
dc.subject | Building simulation | en |
dc.subject | Building retrofit | en |
dc.subject | Thermal energy retrofitting | en |
dc.subject | Building retrofit simulation software | en |
dc.thesis.opt-out | true | |
dc.title | The application of computer modelling to develop a methodology for ‘existing building’ upgrades to move towards carbon-neutral buildings | en |
dc.type | Doctoral thesis | en |
dc.type.qualificationlevel | Doctoral | en |
dc.type.qualificationname | PHD (Engineering) | en |