Building Energy Retrofits using Ant Colony Optimisation
Paper
Paper/Presentation Title | Building Energy Retrofits using Ant Colony Optimisation |
---|---|
Presentation Type | Paper |
Authors | Bamdad, Keivan (Author), Cholette, Michael E. (Author), Guan, Lisa (Author) and Bell, John (Author) |
Journal or Proceedings Title | Proceedings of the Healthy Buildings Europe Conference 2017 |
ERA Conference ID | 42870 |
Article Number | 0086 |
Number of Pages | 6 |
Year | 2017 |
Place of Publication | Herndon, United States |
ISBN | 9788379472604 |
9788379472321 | |
Web Address (URL) of Paper | https://www.isiaq.org/docs/presentation/0086.pdf |
Conference/Event | Healthy Buildings Europe Conference 2017 |
Healthy Buildings | |
Event Details | Healthy Buildings HB Rank A A A A A A A A |
Event Details | Healthy Buildings Europe Conference 2017 Event Date 02 to end of 05 Jul 2017 Event Location Lublin, Poland |
Abstract | Building retrofits offer an effective solution to enhance energy efficiency in buildings. However, identifying the most effective retrofit remains a challenge due to numerous possible retrofit measures which may have different impacts on building energy consumption. Simulation-based optimization methods (coupling building simulation software with an optimisation algorithm) are powerful tools to identify the best retrofit for a building. In this research, nine variables of a typical Australian office building are optimised under three different sets of building simulation assumptions using Ant Colony Optimisation for Mixed Variables (ACOMV). Results show that up to 19.1% energy savings can be achieved after applying optimal retrofit measures. Results also indicate that incorrect building simulation assumptions (e.g. internal loads) can considerably reduce energy savings obtained by optimisation method. This research provides new design insight into the importance of simulation assumption in building energy optimisation. |
Keywords | Ant Colony Optimisation; Building Retrofits; Simulation-Based-Optimisation |
ANZSRC Field of Research 2020 | 401699. Materials engineering not elsewhere classified |
Byline Affiliations | Queensland University of Technology |
University of Technology Sydney | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5x1y/building-energy-retrofits-using-ant-colony-optimisation
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