All available Solid-State Lighting (SSL) systems like LED or OLED suffer from the burden of intrinsic and extrinsic aging effects. These aging effects lead to a degeneration of brightness and color inside the light source, which can be observed far before the failure time (D70). The paper presents a solution for a real time compensation system, which is able to compensate the color and brightness of a lighting system by optical sensing and real time optimization. This approach offers the opportunity to oper ate independently from the implemented light source type and number of primary colors. The benefit is an enhancement in the overall quality and durability of the light source parameters and an elongation of the system use. The solution utilizes a full color sensor and miniaturized embedded computing capabilities to ensure the dedicated performance. Compared to the cost of LED and OLED lighting systems, the overall benefit in quality justifies the additional costs.
Today numerical simulation is a major tool in the design process of non imaging illumination sources. The numerical
simulation is in use for different integration levels of light sources, where various numbers of design parameters exist. A
variation of all available parameters leads to high amount of samples, which must be simulated and analysed.
To reduce the number of variants, a statistical relevant number of samples are used. For this purpose the methods of DoE
(Design of Experiments) are applied. In connection with computational methods, the simulation process itself could be
This leads to a very efficient design process for non imaging illumination systems. Main challenges are the parameter definition for the DoE, the design of the automated process, and a correct approximation of the achieved result. After solving of all challenges, an efficient system for the prediction of the technical parameters of new illumination is created. This paper describes the general problem of variant analyses and the achievements in automatic DoE studies for illumination systems. An outlook shows how this method could be beneficial in the design process of daylight systems.