This report summarizes the findings from a review of a wide range of lighting software tools with a focus on the modeling capabilities of these programs, and in particular the capabilities of these programs in the area of daylighting analysis.
This report contains some general findings of a series of daylight models that was conducted for Building 661 with its existing fenestration systems and with a few small modifications that were made to these systems.
To avoid unnecessary investments in transmission and generation resources, a good solution is to apply Demand Response programs to reduce the demand for electricity at peak hours, when generating electricity is more costly. Customers do not see how the electricity prices change on the real-time market, since most of them pay a flat rate based on the average price of electricity, therefore Demand Response programs can offer incentives to consumers to reduce their usage at peak hours, through rebates or as a response to higher electricity prices.
Enhancements to the open-source Daysim daylight analysis software that permit users to model a photosensor control system as it will perform in a real space, considering the directional sensitivity of the photosensor, its mounting position, the space and daylight aperture geometry, window shading configuration; the electric lighting equipment and control zones; exterior obstructions; and site weather conditions.