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- Publisher Website: 10.1016/j.scs.2020.102146
- Scopus: eid_2-s2.0-85083080123
- WOS: WOS:000533521400004
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Article: Optimizing Lift-up Design to Maximize Pedestrian Wind and Thermal Comfort in ‘Hot-Calm’ and ‘Cold-Windy’ Climates
Title | Optimizing Lift-up Design to Maximize Pedestrian Wind and Thermal Comfort in ‘Hot-Calm’ and ‘Cold-Windy’ Climates |
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Authors | |
Keywords | Lift-up building Pedestrian-level wind environment Genetic Algorithm Artificial Neural Network Computational Fluid Dynamics simulation |
Issue Date | 2020 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.journals.elsevier.com/sustainable-cities-and-society/ |
Citation | Sustainable Cities and Society, 2020, v. 58, p. article no. 102146 How to Cite? |
Abstract | A novel building design — the lift-up design — has shown promise in removing obstacles and facilitating wind circulation at lower heights in built-up areas, yet little is understood about how their design parameters can influence the surrounding wind environment. This study develops a framework to study these parameters, and, using the knowledge, to modify the lift-up design to improve both the wind and thermal environments for pedestrians. The framework combines an Artificial Neural Network (ANN)-based surrogate model, an optimization algorithm (Genetic Algorithm), and Computational Fluid Dynamics (CFD) simulation to find the best lift-up design that maximizes either pedestrian wind comfort or thermal comfort or both. The optimization is done for two diametrically different climates: a hot climate with calm wind conditions (öhot-calm’), and a cold climate with windy conditions (öcold-windy’). By adjusting eight parameters, the proposed framework enlarges, by more than 46% and 37% for öhot-calm’ and öcold-windy’ climates respectively, the area near a lift-up building where there is pedestrian wind comfort, and by 18% and 10% respectively for the two climates, the area where there is thermal comfort. These results indicate that optimum lift-up designs strongly depend on how the objective function of the optimization is set: e.g., whether to maximize area with pedestrian wind comfort or with thermal comfort or both. |
Persistent Identifier | http://hdl.handle.net/10722/289371 |
ISSN | 2021 Impact Factor: 10.696 2020 SCImago Journal Rankings: 1.645 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Weerasuriya, AU | - |
dc.contributor.author | Zhang, X | - |
dc.contributor.author | Lu, B | - |
dc.contributor.author | Tse, KT | - |
dc.contributor.author | Liu, CH | - |
dc.date.accessioned | 2020-10-22T08:11:42Z | - |
dc.date.available | 2020-10-22T08:11:42Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Sustainable Cities and Society, 2020, v. 58, p. article no. 102146 | - |
dc.identifier.issn | 2210-6707 | - |
dc.identifier.uri | http://hdl.handle.net/10722/289371 | - |
dc.description.abstract | A novel building design — the lift-up design — has shown promise in removing obstacles and facilitating wind circulation at lower heights in built-up areas, yet little is understood about how their design parameters can influence the surrounding wind environment. This study develops a framework to study these parameters, and, using the knowledge, to modify the lift-up design to improve both the wind and thermal environments for pedestrians. The framework combines an Artificial Neural Network (ANN)-based surrogate model, an optimization algorithm (Genetic Algorithm), and Computational Fluid Dynamics (CFD) simulation to find the best lift-up design that maximizes either pedestrian wind comfort or thermal comfort or both. The optimization is done for two diametrically different climates: a hot climate with calm wind conditions (öhot-calm’), and a cold climate with windy conditions (öcold-windy’). By adjusting eight parameters, the proposed framework enlarges, by more than 46% and 37% for öhot-calm’ and öcold-windy’ climates respectively, the area near a lift-up building where there is pedestrian wind comfort, and by 18% and 10% respectively for the two climates, the area where there is thermal comfort. These results indicate that optimum lift-up designs strongly depend on how the objective function of the optimization is set: e.g., whether to maximize area with pedestrian wind comfort or with thermal comfort or both. | - |
dc.language | eng | - |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.journals.elsevier.com/sustainable-cities-and-society/ | - |
dc.relation.ispartof | Sustainable Cities and Society | - |
dc.subject | Lift-up building | - |
dc.subject | Pedestrian-level wind environment | - |
dc.subject | Genetic Algorithm | - |
dc.subject | Artificial Neural Network | - |
dc.subject | Computational Fluid Dynamics simulation | - |
dc.title | Optimizing Lift-up Design to Maximize Pedestrian Wind and Thermal Comfort in ‘Hot-Calm’ and ‘Cold-Windy’ Climates | - |
dc.type | Article | - |
dc.identifier.email | Weerasuriya, AU: asiriuw@hku.hk | - |
dc.identifier.email | Liu, CH: chliu@hkucc.hku.hk | - |
dc.identifier.authority | Liu, CH=rp00152 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.scs.2020.102146 | - |
dc.identifier.scopus | eid_2-s2.0-85083080123 | - |
dc.identifier.hkuros | 317543 | - |
dc.identifier.volume | 58 | - |
dc.identifier.spage | article no. 102146 | - |
dc.identifier.epage | article no. 102146 | - |
dc.identifier.isi | WOS:000533521400004 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 2210-6707 | - |