@techreport {1330,
	title = {The Effects of Skylight Parameters on Daylighting Energy Savings},
	year = {1985},
	abstract = {<p>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.</p>},
	author = {Dariush K. Arasteh and Russell Johnson and Stephen E. Selkowitz}
}
@article {11829,
	title = {Energy Performance and Savings Potentials with Skylights},
	journal = {ASHRAE Transactions},
	volume = {91},
	number = {1},
	year = {1985},
	pages = {154-179},
	abstract = {<p>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.</p>},
	author = {Dariush K. Arasteh and Russell Johnson and Stephen E. Selkowitz and Robert Sullivan}
}
