The optical design of a solar concentrator is based not on understanding and evaluating a point solution in time, but
instead on the integrated performance over a band of time. Important additional factors are to evaluate different
locations in the world and different seasons. Here we construct a software tool for modeling bands of time and use it to
study different types of passive, low-concentration, CPC-profile solar collectors. Extruded trough geometry is shown to
have superior performance to an annulus, and a cylindrically curved CPC profile had better pointing tolerance than the
Uniformity remains a central topic in illumination system design and mixing rods provide an effective means to
providing uniformity. Typically, flux enters one end of a mixing rod and the flux exiting the other end provides
improved spatial and/or angular uniformity. We investigate the use of mixing rods with rippled surface structures to
provide enhanced uniformity.
In displays such as backlights and signage, it is often desirable to produce a particular spatial luminance distribution of
light. This work demonstrates an iterative optimization technique for determining the density of light extractors
required to produce desired luminance distributions.
In this paper, we investigate how to improve the uniformity of the spatial distribution of the illuminance at the output plane for angle-to-area-converting, light-piping systems through the introduction of cyclical surface features. A superposition approach is used for studying uniformity. Improvements in uniformity for square-to-circle and rectangle-to-circle lightpipe configurations are demonstrated for a short package length.
Angle-to-area converters are a key topic of illumination design, and much work has been done in this area over the last 30 years. However, relatively little work exists in the literature in which these converters have been designed using optimization techniques. The present work takes a fresh look at some angle-to-area conversion problems using optimized, circularly and non-circularly symmetric surfaces.
Computers are routinely used to design illumination systems. Automating the design process is enhanced through the use of optimization procedures. This paper describes some of the underlying illumination optimization fundamentals: parameterization, merit functions, and optimization algorithms. Numerous interesting examples of illumination design problems that benefit from optimization are shown. These examples illustrate illumination optimization through use of ray aiming, computing illuminance using flux tubes, and computing illuminance using Monte Carlo simulations.
Use of NURBS surfaces to create facets on a reflecting surface will be considered. Specifically, the design of a reflector that generates a circular illuminance pattern will be investigated. Important considerations are: choice of variables used to represent a NURBS surface, total number of variables, parameterization and/or knot vector specification, and where to use algorithmic vs. optimization approaches.