01040nas a2200133 4500008004100000050001400041245006900055210006500124520057500189100002500764700002100789700002700810856006900837 1985 eng d aLBL-1745600aThe Effects of Skylight Parameters on Daylighting Energy Savings0 aEffects of Skylight Parameters on Daylighting Energy Savings3 a

Skylight parameters that affect lighting, cooling, heating, fan, and total energy use in office buildings are examined using the state-of-the-art building energy analysis computer code, DOE-2.1B. The lighting effects of skylight spatial distribution, skylight area, skylight visible transmission, well factor, illumination setpoint, interior partitions, ceiling height, and glazing characteristics are discussed. This study serves as the foundation for the creation of a DOE-2.1B database and design tools for estimating daylighting energy savings from skylights.

1 aArasteh, Dariush, K.1 aJohnson, Russell1 aSelkowitz, Stephen, E. uhttps://facades.lbl.gov/publications/effects-skylight-parameters01779nas a2200169 4500008004100000050001400041245006100055210006100116300001200177490000700189520124700196100002501443700002101468700002701489700002101516856007201537 1985 eng d aLBL-1745700aEnergy Performance and Savings Potentials with Skylights0 aEnergy Performance and Savings Potentials with Skylights a154-1790 v913 a

This study systematically explores the energy effects of skylight systems in a prototypical office building module and examines the savings from daylighting. For specific climates, roof/skylight characteristics are identified that minimize total energy or peak electrical demand. Simplified techniques for energy performance calculation are also presented based on a multiple regression analysis of our data base so that one may easily evaluate daylightings effects on total and component energy loads and electrical peaks. This provides additional insights into the influence of skylight parameters on energy consumption and electrical peaks. We use the DOE-2.15 energy analysis program with newly incorporated daylighting algorithms to determine hourly, monthly, and annual impacts of daylighting strategies on electrical lighting consumption, cooling, heating, fan power, peak electrical demands, and total energy use. A database of more than 2000 parametric simulations for 14 U.S. climates has been generated. Parameters varied include skylight-to-roof ratio, shading coefficient, visible transmittance, skylight well light loss, electric lighting power density, roof heat transfer coefficient, and electric lighting control type.

1 aArasteh, Dariush, K.1 aJohnson, Russell1 aSelkowitz, Stephen, E.1 aSullivan, Robert uhttps://facades.lbl.gov/publications/energy-performance-and-savings01348nas a2200145 4500008004100000050001400041245005600055210005600111260003200167520086300199100002501062700002101087700002101108856007301129 1984 eng d aLBL-1747600aSkylight Energy Performance and Design Optimization0 aSkylight Energy Performance and Design Optimization aGothenburg, Swedenc06/19843 a

Proper skylight utilization can significantly lower energy requirements and peak electrical loads for space conditioning and lighting in commercial buildings. In this study we systematically explore the energy effects of skylight systems in a prototypical officesbuilding and examine the savings from daylighting. We used the DOE-2.1B energy analysis computer program with its newly incorporated daylighting algorithims to generate more than 2000 parametric simulations for seven U.S. climates. The parameters varied include skylight-to-roof ratio, shading coefficient, visible transmittance, skylight well light loss, electric lighting powersdensity, roof heat transfer coefficient, and type of electric lighting control. For specific climates we identify roof/skylight characteristics that minimize total energy or peak electrical load requirements.

1 aArasteh, Dariush, K.1 aJohnson, Russell1 aSullivan, Robert uhttps://facades.lbl.gov/publications/skylight-energy-performance-and