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Radiance-Based Model for Optimal Selection of Window Systems
Daylighting performance is one of the primary metrics used for evaluation and selection of window systems. Radiance is one of the most accurate software tools for lighting simulations of buildings. However, it is difficult to use Radiance in the early stages of the daylighting design because of the complexity of the tool and uncertainty and variability of the design parameters. Repeated modifications of different design parameters are required in order to select appropriate design. As a result, simulation runtime is significantly increased. To solve the conflict between accuracy and length of simulation runtime, this research proposed a two-phase model for selection of window systems that can be used in the early design stages. The model uses Radiance for daylighting simulations and calculates the daylighting metrics by utilizing the optimization methods. A case study was conducted to illustrate the application of the model. This model not only provided relatively accurate daylighting simulation results but also reduced the overall simulation runtime.
Radiance-Based Model for Optimal Selection of Window Systems
Daylighting performance is one of the primary metrics used for evaluation and selection of window systems. Radiance is one of the most accurate software tools for lighting simulations of buildings. However, it is difficult to use Radiance in the early stages of the daylighting design because of the complexity of the tool and uncertainty and variability of the design parameters. Repeated modifications of different design parameters are required in order to select appropriate design. As a result, simulation runtime is significantly increased. To solve the conflict between accuracy and length of simulation runtime, this research proposed a two-phase model for selection of window systems that can be used in the early design stages. The model uses Radiance for daylighting simulations and calculates the daylighting metrics by utilizing the optimization methods. A case study was conducted to illustrate the application of the model. This model not only provided relatively accurate daylighting simulation results but also reduced the overall simulation runtime.
Radiance-Based Model for Optimal Selection of Window Systems
Hu, J. (Autor:in) / Olbina, S. (Autor:in)
International Conference on Computing in Civil Engineering ; 2012 ; Clearwater Beach, Florida, United States
Computing in Civil Engineering (2012) ; 634-641
11.06.2012
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Radiance-Based Model for Optimal Selection of Window Systems
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