English

Energy performance of a university building is mod-eled and compared to the actual measured perfor-mance of the building. Two energy models are devel-oped in this work: design model and as-built model. The design model is based on the input parameters calculated by a consulting company for LEED submis-sion. The as-built model is built using different input parameters for envelope performance and occupancy. The impact of these parameters on the simulation re-sults are reported and discussed.

This investigation studied an adjoint method to achieve the optimal design of ventilation in enclosed environment and validated it by two-dimensional cases. This study defined a part of the flow field and/or temperature field as the design objective and determined the thermo-fluid boundary conditions as the design variables. By using the adjoint method together with the optimality condition that was implemented in OpenFOAM, this investigation could find the optimal air supply parameters.

Quick information of airborne infectious disease transmission in enclosed environments is critical to reduce the risk of infection of occupants. This study developed a combined CFD and Markov chain method for quickly predicting the transient particle transport in enclosed environments. The method firstly calculated a transition probability matrix using CFD simulation. Then the Markov chain technique was applied to calculate the transient particle concentration distribution.

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.