2019
DOI: 10.1007/s12273-019-0586-5
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Investigation on the potential of improving daylight efficiency of office buildings by curved facade optimization

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Cited by 16 publications
(6 citation statements)
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“…According to past studies, the typical GA population size is between 30 and 200. 67,68 The appropriate GA settings in the Octopus plugin were assigned based on earlier studies, 51,65,69,70 as shown in Table 2, and specifics regarding the Radiance daylight characteristics were also included. Because Octopus can only address minimization problems, the optimization process is limited to minimizing the goals; thus, the goal to be maximized, which in this instance was side, and UDI should be multiplied by −1.…”
Section: Methodsmentioning
confidence: 99%
“…According to past studies, the typical GA population size is between 30 and 200. 67,68 The appropriate GA settings in the Octopus plugin were assigned based on earlier studies, 51,65,69,70 as shown in Table 2, and specifics regarding the Radiance daylight characteristics were also included. Because Octopus can only address minimization problems, the optimization process is limited to minimizing the goals; thus, the goal to be maximized, which in this instance was side, and UDI should be multiplied by −1.…”
Section: Methodsmentioning
confidence: 99%
“…The optimization cycle lasted 20 generations, with 50 people in each generation. According to previous studies, 57,58 the average population size for GA was between 30 and 200. The essential GA parameters in the Octopus plug-in were allocated based on the recommendations of prior research such as the population size, the number of generations and fitness value were appropriately adjusted as shown in Table 5, 43,51,59,60 and the specifics of the Radiance daylight parameters were also provided based on the majority of past daylight simulation studies.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, to facilitate the simulation process, the average of UDI was used as in previous studies. [55][56][57] Thus, the average of the values of UDI 300-2000lux was multiplied by (À1). The best solutions on the Pareto front were selected as optimum design solutions from a total of roughly 6125 design possibilities based on the set parameters of LSH in Table 3.…”
Section: Description Of the Case Study Model (Reference Case)mentioning
confidence: 99%
“…For example, LEED V4.1 option 2 adopts the illuminance levels between 300 lux and 3000 lux. Lu et al [ 42 ] used the area-weighted average UDI to prove that the optimized curved facades can improve the daylight efficiency of office building, and Hong et al used UDI 300–3000 lux to evaluate the performance of thermos-chromic glazing window. They reported that UDI 300–3000lux for single- and double-glazed windows were 70.9% and 71.9%, respectively [ 43 ].…”
Section: Daylight Metricsmentioning
confidence: 99%