A method of optimizing solar control and daylighting performance in commercial office buildings
We present a method for analyzing the annual cooling and lighting electricity use and peak demand associated with varying fenestration and lighting strategies in commercial office buildings. A prototypical office building module consisting of four perimeter zones and a central core zone was defined and a series of DOE-2 building energy simulations were completed to create a data base for varying fenestration and lighting system parameters. Using regression analysis procedures, we characterize energy and peak performance patterns as a function of solar aperture, defined as the product of shading coefficient and window-to-wall ratio, and effective daylighting aperture, defined as the product of visible transmittance and window-to-wall ratio. Optimum performance consists of defining the solar and effective daylighting aperture values that minimize annual energy consumption and peak demand, a process easily facilitated by the methods described herein.
- Research Organization:
- Lawrence Berkeley Lab., CA (United States)
- Sponsoring Organization:
- USDOE; CAIEE; USDOE, Washington, DC (United States); California Inst. for Energy Efficiency, Berkeley, CA (United States)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 6902974
- Report Number(s):
- LBL-32931; BS-291; CONF-921203-8; ON: DE93004730
- Resource Relation:
- Conference: Thermal performance of the exterior envelopes of buildings, Clearwater, FL (United States), 7-10 Dec 1992
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
ENERGY CONSUMPTION
REGRESSION ANALYSIS
OFFICE BUILDINGS
COMMERCIAL BUILDINGS
DAYLIGHTING
ELECTRICITY
ENERGY DEMAND
GLAZING
LIGHTING SYSTEMS
SOLAR RADIATION
WINDOWS
BUILDINGS
COVERINGS
DEMAND
MATHEMATICS
OPENINGS
RADIATIONS
STATISTICS
STELLAR RADIATION
320105* - Energy Conservation
Consumption
& Utilization- Building Services- (1987-)