Edinburgh Napier University

  Daylighting harvest systems have been improved in recent decades. They have been dramatically used in green buildings to achieve a more sustainable living environment. However, their cost, sizes, shapes, materials, accuracy and control methods are considered as critical aspects towards their feasibility and practicality. The optimal integration between these aspects can achieve more reliable and practical daylight harvest systems. Grasshopper, as a parametric control method, can be exploited in such systems to optimise the use of each aspect. Parametric approach is considered as the most convenient way to control and manipulate different parameters simultaneously, with respond to the sun movement. This study investigates a parametrically controlled daylighting louver system, which can respond to the sun movement to collect as much daylight as possible inside the deep room, via using parametrically-angled reflective slats. To consider our main purpose of feasibility and performance, the study will evaluate the performance of the proposed system by changing its slats' size and shape to achieve optimum balance between practicality and performance. The study found that reducing the louver size and modifying the slat's curvature, can significantly increase the daylight coverage percentage inside the deep room from 93% to 98% within the illuminance standard range 300–500 lx, in addition to reducing the glare probability to an imperceptible level, besides achieving lighter weight and better strength-limber shape.