2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) 2019
DOI: 10.1109/ice.2019.8792589
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Rawshan: Environmental Impact of a Vernacular Shading Building Element in Hot Humid Climates

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Cited by 4 publications
(4 citation statements)
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“…Since this program lacks a graphical interface, to input data and to output results, the HoneyBee plugin in Rhino carried out both of these jobs more easily, and the Galapagos plugin performed the optimization. Many researchers have validated EnergyPlus [20,21] and used Rhino and its plugins [22][23][24].…”
Section: Methodsmentioning
confidence: 99%
“…Since this program lacks a graphical interface, to input data and to output results, the HoneyBee plugin in Rhino carried out both of these jobs more easily, and the Galapagos plugin performed the optimization. Many researchers have validated EnergyPlus [20,21] and used Rhino and its plugins [22][23][24].…”
Section: Methodsmentioning
confidence: 99%
“…As a result, there are countless chances for information of the built environment to be extremely valuable [3]. BIM is an example of a built-environment information model that has emerged as a new stage in the expanded digitization of built-environment data in the expanded digitization of built-environment data in the architecture [12], engineering [13], construction [14] and facilities management (AECFM) business [4]. In this changing context, BIM can be utilized in a layered model to assist visualize and categorize the various elements, with a focus on how to best enable knowledge and ICT to enhance business services [15].…”
Section: Background and Related Workmentioning
confidence: 99%
“…Generally, most of the outcome of the application of GA in optimization is to increase the probability of consumer thermal comfort in naturally ventilated rooms [68] and air-conditioned rooms [69][70] in buildings in individual homes or a collective community [71]. Apart from natural or artificial ventilation, other considerations such as the control of daylight entering residential homes have been optimized by the use of genetic algorithm [72]. GA has been used in the optimization of energy required in charging and discharging of electric vehicles in residential homes [73].…”
Section: Optimizationmentioning
confidence: 99%