Topographical optimisation of single-storey non-domestic steel framed buildings using photovoltaic panels for net-zero carbon impact
A methodology is presented that combines a multi-objective evolutionary algorithm and artificial neural networks to optimise single-storey steel commercial buildings for net-zero carbon impact. Both symmetric and asymmetric geometries are considered in conjunction with regulated, unregulated and emb...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
Pergamon
2015
|
| Online Access: | http://hdl.handle.net/20.500.11937/16956 |
| _version_ | 1848749325297909760 |
|---|---|
| author | McKinstray, R. Lim, J. Tanyimboh, T. Phan, Thanh Duoc Sha, W. Brownlee, A. |
| author_facet | McKinstray, R. Lim, J. Tanyimboh, T. Phan, Thanh Duoc Sha, W. Brownlee, A. |
| author_sort | McKinstray, R. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | A methodology is presented that combines a multi-objective evolutionary algorithm and artificial neural networks to optimise single-storey steel commercial buildings for net-zero carbon impact. Both symmetric and asymmetric geometries are considered in conjunction with regulated, unregulated and embodied carbon. Offsetting is achieved through photovoltaic (PV) panels integrated into the roof. Asymmetric geometries can increase the south facing surface area and consequently allow for improved PV energy production. An exemplar carbon and energy breakdown of a retail unit located in Belfast UK with a south facing PV roof is considered. It was found in most cases that regulated energy offsetting can be achieved with symmetric geometries. However, asymmetric geometries were necessary to account for the unregulated and embodied carbon. For buildings where the volume is large due to high eaves, carbon offsetting became increasingly more difficult, and not possible in certain cases. The use of asymmetric geometries was found to allow for lower embodied energy structures with similar carbon performance to symmetrical structures. |
| first_indexed | 2025-11-14T07:19:08Z |
| format | Journal Article |
| id | curtin-20.500.11937-16956 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:19:08Z |
| publishDate | 2015 |
| publisher | Pergamon |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-169562018-03-29T09:06:21Z Topographical optimisation of single-storey non-domestic steel framed buildings using photovoltaic panels for net-zero carbon impact McKinstray, R. Lim, J. Tanyimboh, T. Phan, Thanh Duoc Sha, W. Brownlee, A. A methodology is presented that combines a multi-objective evolutionary algorithm and artificial neural networks to optimise single-storey steel commercial buildings for net-zero carbon impact. Both symmetric and asymmetric geometries are considered in conjunction with regulated, unregulated and embodied carbon. Offsetting is achieved through photovoltaic (PV) panels integrated into the roof. Asymmetric geometries can increase the south facing surface area and consequently allow for improved PV energy production. An exemplar carbon and energy breakdown of a retail unit located in Belfast UK with a south facing PV roof is considered. It was found in most cases that regulated energy offsetting can be achieved with symmetric geometries. However, asymmetric geometries were necessary to account for the unregulated and embodied carbon. For buildings where the volume is large due to high eaves, carbon offsetting became increasingly more difficult, and not possible in certain cases. The use of asymmetric geometries was found to allow for lower embodied energy structures with similar carbon performance to symmetrical structures. 2015 Journal Article http://hdl.handle.net/20.500.11937/16956 10.1016/j.buildenv.2014.12.017 Pergamon restricted |
| spellingShingle | McKinstray, R. Lim, J. Tanyimboh, T. Phan, Thanh Duoc Sha, W. Brownlee, A. Topographical optimisation of single-storey non-domestic steel framed buildings using photovoltaic panels for net-zero carbon impact |
| title | Topographical optimisation of single-storey non-domestic steel framed buildings using photovoltaic panels for net-zero carbon impact |
| title_full | Topographical optimisation of single-storey non-domestic steel framed buildings using photovoltaic panels for net-zero carbon impact |
| title_fullStr | Topographical optimisation of single-storey non-domestic steel framed buildings using photovoltaic panels for net-zero carbon impact |
| title_full_unstemmed | Topographical optimisation of single-storey non-domestic steel framed buildings using photovoltaic panels for net-zero carbon impact |
| title_short | Topographical optimisation of single-storey non-domestic steel framed buildings using photovoltaic panels for net-zero carbon impact |
| title_sort | topographical optimisation of single-storey non-domestic steel framed buildings using photovoltaic panels for net-zero carbon impact |
| url | http://hdl.handle.net/20.500.11937/16956 |