English

This paper presents the development of an optimization methodology for selecting the lowest monetary cost combinations of building technologies to meet set operational energy reduction targets. The developed optimization algorithm comes from the fact that the actual properties of building technologies have a discrete nature and seeing their selection as a combinatoric problem. The optimization algorithm searches the discrete combinatoric space by maximizing the objective function: calculated energy savings divided by premium cost.

This paper describes the development of a new tool called hdrscope that enables users to perform qualitative and quantitative lighting analysis via per-pixel methods. Using a simulated and photographically captured lab space as a case study, per-pixel analysis methods are described, challenges associated with per-pixel lighting analysis are discussed, and hdrscope analysis techniques are demonstrated.