{"title":"城市环境和建筑内部同时优化日照的进化计算方法","authors":"Nastaran Abdollahzadeh, Nimish Biloria","doi":"10.1007/s41742-024-00631-4","DOIUrl":null,"url":null,"abstract":"<p>Rapid population growth globally is resulting in urban densification exponentially. As cities become denser, the environmental quality of urban canyons reduces, resulting in an increase in associated energy use in buildings. Currently, cities are responsible for 70% of the world’s energy consumption. One of the efficient solutions to address this issue is allowing more solar access into interiors and thus making the most of daylight and solar heat gain. Accordingly, this paper presents a novel approach to integrate daylight optimization in both urban environments and buildings’ interiors via the development and application of a custom algorithm based evolutionary computation. This ultimately allows more daylight penetration into urban canyons [vertical daylight illuminance (VDI)] and, subsequently, improves indoor visual comfort [useful horizontal illuminance level (HIL)]. This can also reduce the associated lighting and heating (during winter) energy use of buildings. Furthermore, investigating the correlation between indoor and outdoor illuminance levels aims to bridge the gap between daylight requirements at the urban planning and building scale. A multi-objective evolutionary algorithm-based assessment using computational simulation of design variables is conducted. This determines the extent to which each urban morphology can affect daylight access in both indoor and outdoor environments. Accordingly, the optimal range for different design factors is suggested.</p>","PeriodicalId":14121,"journal":{"name":"International Journal of Environmental Research","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Evolutionary Computing Approach For Simultaneous Daylight Optimization in Urban Environments and Buildings Interiors\",\"authors\":\"Nastaran Abdollahzadeh, Nimish Biloria\",\"doi\":\"10.1007/s41742-024-00631-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Rapid population growth globally is resulting in urban densification exponentially. As cities become denser, the environmental quality of urban canyons reduces, resulting in an increase in associated energy use in buildings. Currently, cities are responsible for 70% of the world’s energy consumption. One of the efficient solutions to address this issue is allowing more solar access into interiors and thus making the most of daylight and solar heat gain. Accordingly, this paper presents a novel approach to integrate daylight optimization in both urban environments and buildings’ interiors via the development and application of a custom algorithm based evolutionary computation. This ultimately allows more daylight penetration into urban canyons [vertical daylight illuminance (VDI)] and, subsequently, improves indoor visual comfort [useful horizontal illuminance level (HIL)]. This can also reduce the associated lighting and heating (during winter) energy use of buildings. Furthermore, investigating the correlation between indoor and outdoor illuminance levels aims to bridge the gap between daylight requirements at the urban planning and building scale. A multi-objective evolutionary algorithm-based assessment using computational simulation of design variables is conducted. This determines the extent to which each urban morphology can affect daylight access in both indoor and outdoor environments. Accordingly, the optimal range for different design factors is suggested.</p>\",\"PeriodicalId\":14121,\"journal\":{\"name\":\"International Journal of Environmental Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Environmental Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s41742-024-00631-4\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Environmental Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s41742-024-00631-4","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
An Evolutionary Computing Approach For Simultaneous Daylight Optimization in Urban Environments and Buildings Interiors
Rapid population growth globally is resulting in urban densification exponentially. As cities become denser, the environmental quality of urban canyons reduces, resulting in an increase in associated energy use in buildings. Currently, cities are responsible for 70% of the world’s energy consumption. One of the efficient solutions to address this issue is allowing more solar access into interiors and thus making the most of daylight and solar heat gain. Accordingly, this paper presents a novel approach to integrate daylight optimization in both urban environments and buildings’ interiors via the development and application of a custom algorithm based evolutionary computation. This ultimately allows more daylight penetration into urban canyons [vertical daylight illuminance (VDI)] and, subsequently, improves indoor visual comfort [useful horizontal illuminance level (HIL)]. This can also reduce the associated lighting and heating (during winter) energy use of buildings. Furthermore, investigating the correlation between indoor and outdoor illuminance levels aims to bridge the gap between daylight requirements at the urban planning and building scale. A multi-objective evolutionary algorithm-based assessment using computational simulation of design variables is conducted. This determines the extent to which each urban morphology can affect daylight access in both indoor and outdoor environments. Accordingly, the optimal range for different design factors is suggested.
期刊介绍:
International Journal of Environmental Research is a multidisciplinary journal concerned with all aspects of environment. In pursuit of these, environmentalist disciplines are invited to contribute their knowledge and experience. International Journal of Environmental Research publishes original research papers, research notes and reviews across the broad field of environment. These include but are not limited to environmental science, environmental engineering, environmental management and planning and environmental design, urban and regional landscape design and natural disaster management. Thus high quality research papers or reviews dealing with any aspect of environment are welcomed. Papers may be theoretical, interpretative or experimental.