The application of computer modelling to develop a methodology for ‘existing building’ upgrades to move towards carbon-neutral buildings

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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.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 http://hdl.handle.net/10468/2031
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.format.mimetype application/pdf en
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.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
dc.internal.availability Full text not available en
dc.check.info Indefinite en
dc.check.date 10000-01-01
dc.description.version Accepted Version
dc.description.status Not peer reviewed en
dc.internal.school Civil Engineering en
dc.check.reason This thesis is due for publication or the author is actively seeking to publish this material en
dc.check.opt-out Yes en
dc.thesis.opt-out true
dc.check.entireThesis Entire Thesis Restricted
dc.check.embargoformat Both hard copy thesis and e-thesis en
dc.internal.conferring Spring Conferring 2015


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© 2014, Sean N. Murray. Except where otherwise noted, this item's license is described as © 2014, Sean N. Murray.
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