Robust control and optimisation of energy consumption in daylight—artificial light integrated schemes

Abstract

Energyefficiency strategies based on daylight-artificial light integrated schemes have proved to be efficient by many researchers worldwide. But much larger energy savings with the benefit of visual and thermal comfort can be achieved when systems integration strategies are competently designed. They require a high level of expertise and familiarity with new design techniques. This study describes the results of three computational models suitable for the optimum integration of visual comfort, thermal comfort, and energy consumption in schemes where daylight and artificial light are integrated. This mainly involves: (i) a system identification approach in lighting control strategy, (ii) a fuzzy logic based controller to reduce glare, increase uniformity and thermal comfort, and (iii) an adaptive predictive control scheme for the dimming of artificial light. In addition to the above models the scheme must take account of occupancy and user wishes. The anticipated synergetic effects of the computational models have been validated using climate data. A SIMULINK environment is established for the real time control and analysis of daylight-artificial light integrated schemes. Overall, the schemes maximise energy cost saving while optimizing the performance and the quality of the visual environment.

Control of wireless-networked lighting in open-plan offices

“…Advanced strategies are under development to integrate electric lighting systems and shading systems for optimal savings and comfort. 24 It is also a natural extension of the presented research to look into the interaction and integration with automatic shading controls.…”

Prospective techniques of effective daylight harvesting in commercial buildings by employing window glazing, dynamic shading devices and dimming control—a literature review

“…In addition, the scheme was so designed as to coordinate and control the automated electric lights as well as window blind systems as per user presence and user wishes. The simulation results (Kurian et al 2008a) carried out for tropical climates of Manipal, South India using test reference year (TRY) 2005 show that ANFIS dimming with a fuzzy logic based window blind controller provides complete optimization of thermal comfort and visual comfort including both glare control and uniformity in the interior with an annual energy savings of 23% − 49%. Whereas, ANFIS dimming with the fuzzy blind controller designed only for glare control show a increased annual energy saving of 35% − 60% according to window orientation.…”

“…An attempt has been made by Kurian et al (2008a) for applying simulation assisted computational model for adaptive predictive control in a daylight-artificial integrated scheme for energy saving, visual comfort, and thermal comfort. For maximizing energy saving while optimizing the performance and the quality of the visual environment the author proposes an integrated scheme comprising of: (i) a system identification approach for lighting control strategy, (ii) a fuzzy logic based window blind controller to reduce glare, increase uniformity and thermal comfort, and (iii) an adaptive predictive control scheme for the dimming of artificial light.…”

Management Optimization of the Luminous Flux Regulation of a Lighting System in Road Tunnels. A First Approach to the Exertion of Predictive Control Systems

“…The predictive control system [18][19][20][21][22][23][24][25][26] here suggested has a three-level structure ( Figure 2): an upper layer with a control system (consisting of a pre-programmed software used according to predictive simulations performed thanks to software able to simulate the interaction between natural daylight with artificial sources and their illuminations levels); a middle layer where the control unit, with respect to the input provided by the twilight switch, regulates the dimming of the light sources; and, the third layer, which is the actual control, where the electronic on-board permits to regulate lighting sources to provide a proper illumination.…”