A Methodology for daylight optimisation of high-rise buildings in the dense urban district using overhang length and glazing type variables with surrogate modelling
Author | Ekici B. |
Author | Kazanasmaz T. |
Author | Turrin M. |
Author | Tasgetiren M.F. |
Author | Sariyildiz I.S. |
Available date | 2020-04-01T06:59:43Z |
Publication Date | 2019 |
Publication Name | Journal of Physics: Conference Series |
Publication Name | International Conference on Climate Resilient Cities - Energy Efficiency and Renewables in the Digital Era 2019, CISBAT 2019 |
Resource | Scopus |
ISSN | 17426588 |
Abstract | Urbanization and population growth lead to the construction of higher buildings in the 21st century. This causes an increment on energy consumption as the amount of constructed floor areas is rising steadily. Integrating daylight performance in building design supports reducing the energy consumption and satisfying occupants' comfort. This study presents a methodology to optimise the daylight performance of a high-rise building located in a dense urban district. The purpose is to deal with optimisation problems by dividing the high-rise building into five zones from the ground level to the sky level, to achieve better daylight performance. Therefore, the study covers five optimization problems. Overhang length and glazing type are considered to optimise spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE). A total of 500 samples in each zone are collected to develop surrogate models. A self-adaptive differential evolution algorithm is used to obtain near-optimal results for each zone. The developed surrogate models can estimate the metrics with minimum 98.25% R2 which is calculated from neural network prediction and Diva simulations. In the case study, the proposed methodology improves daylight performance of the high-rise building, decreasing ASE by approx. 27.6% and increasing the sDA values by around 88.2% in the dense urban district. - Published under licence by IOP Publishing Ltd. |
Sponsor | We would like to thank Cemre Cubukcuoglu for the collaborative work while implementing the optimisation algorithm. M. Fatih Tasgetiren, who is partially supported by the National Natural Science Foundation of China (Grant No. 51435009), acknowledges the HUST project in Wuhan. |
Language | en |
Publisher | Institute of Physics Publishing |
Subject | Daylighting Lighting Daylight illuminance |
Type | Conference Paper |
Issue Number | 1 |
Volume Number | 1343 |
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Mechanical & Industrial Engineering [1367 items ]