Glazing energy performance and design optimization with daylighting

Johnson, Rucker C.; Sullivan, R.; Selkowitz, Stephen; Nozaki, Satoshi; Conner, C.C.; Arasteh, D.

doi:10.1016/0378-7788(84)90014-8

Cited by 63 publications

(33 citation statements)

References 4 publications

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“…Optimal window areas were those in the "critical region". This term defines the limit when increasing window size does not contribute any more to daylight availability [16]. Calculation of the daylight availability ratio, however, is difficult without detailed long-term meteorological data.…”

Section: Examples Of Simultaneous Evaluations For Energy and Visual Amentioning

confidence: 99%

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Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort

et al. 2012

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Section: Examples Of Simultaneous Evaluations For Energy and Visual Amentioning

confidence: 99%

“…Artificial lighting energy is used to relate total energy use with visual criteria. In this sense, the lower boundary is minimal consumption for all items, and the upper one is the "critical region" where daylight does not contribute to artificial lighting savings [16].…”

Section: Accepted For Publication In Applied Energymentioning

confidence: 99%

Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort

et al. 2012

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“…48 r.;· 6 D.o.8 (26) where G is the discomfort glare constant, Lw is the average luminance of the window as seen from the reference point ( cd/m2), w is the solid angle subtended by the window with respect to reference point, D. is the solid angle subtended by the window and modified to take direction of occupant view into account, and Lb is the average luminance of the background area surrounding the window (cd/m 2 ).…”

Section: Internally Reflected Componentmentioning

confidence: 99%

“…..r d~ emax Jr L(e,~)cosll~cos;de 9 min (25) where Tm is equal to Tsh for an outside shade and is equal to Tg(u)T 8 h for an inside shade.…”

Section: Internally Reflected Componentmentioning

confidence: 99%

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Daylighting simulation in the DOE-2 building energy analysis program

Winkelmann¹,

Selkowitz²

1985

Energy and Buildings

100

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A daylighting calculation has been integrated into the DOE-2 building energy analysis computer program. Users can, for the first time in a widelyused, publicly-available program, determine the impact of daylight utilization on energy use, energy cost, and peak electrical demand. We describe the algarithms which simulate hourly-varying interior illuminance, management of windows for sun and glare control, and the operation of electric lighting control systems. Sample DOE-2 daylighting output reports are presented and results of program validation against scale model illuminance measurements using the Lawrence Berkeley Laboratory sky simulator are discussed •

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Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review

Castaldo

Pisello

2017

WIREs Energy & Environment

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The design of sustainable constructions also resilient to climate change has become a challenging issue given the increasing greenhouse emissions rate imputable to the built environment in urban areas. In this context, dynamic simulation models represent a suitable tool to support the design from very preliminary phases, since they allow an accurate prediction of the constructions requirements, their environmental performance, and indoor comfort conditions for their occupants. Therefore, starting from specific inputs, that is, weather conditions, construction technologies, materials, energy systems, operation settings, occupancy, and so forth, it is possible to estimate the realistic building energy performance. Moreover, the calibration procedures allow making the model even more representative of the field conditions of a construction. Given the massive progress carried out by the scientific community during the last decades, this paper presents a comprehensive review of the different building dynamic simulation approaches and available tools. While previous review studies focused on single separated aspects of dynamic simulations approaches, that is, calibration methods, software, simulation of single building energy systems, the aim of the present review is to propose a more holistic approach by investigating the recent scientific progress in simulating realistic dense urban environments. In this view, the review focus bridges the gap between the simulation at single-building level and simulation at the increasingly important neighborhood scale by showing the multiple benefits deriving from using dynamic simulation tools at district level, for a more reliable investigation of building performance in their urban context, where more than 50% of the global population worldwide currently lives.

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Glazing energy performance and design optimization with daylighting

Cited by 63 publications

References 4 publications

Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort

Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort

Daylighting simulation in the DOE-2 building energy analysis program

Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review

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