A fundamental detection for central light-wells and improving Light-well's daylight efficiency; New approach in the optimization process

In modern cities, as a result of high urban density and the lack of expansion of cities in the horizontal direction, high-rise buildings and sometimes deep-plan buildings have been created, and the availability of ventilation and natural light to windowless spaces has become necessary in such conditions. One of the most widely used solutions to overcome such a problem is the creation of central light-wells, whose main identity is providing daylight. One of the main challenges in light-well is reaching light to the end of the well and two major factors are effective in this challenge; that is, the optical properties of the materials and the configuration of the well. Following previous research in terms of their diagnosis and troubleshooting, this study has focused on a type of new configuration with the aim of improving daylight efficiency compared to a simple-model. According to the limitations of finding a solution to the problem in such complex cases, this study, based on a methodology, seeks optimization by two manual methods and the genetic algorithm optimization, which is the first step, by investigating the well-Index in a cross-sectional study which it finds the best Well-index, and for a better understanding between the position of the sun related to, a side study was conducted and led to the production of a new index called PS-index. In the second step, the configuration of the walls is optimized by the genetic algorithm; basically an integration of two optimizations for one problem. This study, with the aim of standardization in methodology, seeks an interpolation between 3 locations at 5, 35, and 60° latitudes so that all latitudes are covered. Finally, the results show that the new configuration (the final optimized model) can improve the performance of the light-well several times compared to a simple-model by considering the configuration design at the same time.