Adaptive Predictive Lighting Controllers for Daylight Artificial Light Integrated Schemes 14 CHAPTER 2 LITERATURE REVIEW 1 2.1 Introduction Daylighting controls are perceived as a lucrative option for daylighting to gain acceptance and reverse the current practice of total reliance on artificial lighting. Substantial electrical energy costs can be cut down if lighting controls are used in conjunction with automated window blinds. Advances in SCT have stimulated significant research and development of intelligent control algorithms pertaining to automated daylighting control systems. The preliminary sections of this chapter examine the publications that discuss why manual control of artificial lights and window blinds fail to achieve right management of daylighting and does the artificial intelligence based automated daylighting control techniques meet minimum standards for energy and human comfort performance. Apart from the literature review, the final section of this chapter provides a bird's-eye view on the assessment of the exterior daylight availability in a tropical climatic region with particular reference to Bangalore (India) (latitude 12.97 o N, longitude 77.56 o E). In a nut shell, the objective of this chapter is to provide an impression of the kinds and scope of the relevant existing research efforts which forms the background for the present research study. 2.2 Manual Control of Artificial Lights and Window Blinds In the present scenario, increased emphasis on energy efficiency and visual comfort has brought particular attention to daylighting in commercial buildings. Even today, in most of A part of this chapter has been published in: (1)International Journal of Building Simulation, 2008, 1(2): 279–289. (2) International Journal of Building Simulation, 2009, 2(2): 85-94. 1. 1