Daylight factor estimation at an early design stage to reduce buildings' energy consumption due to artificial lighting: A numerical approach based on Doehlert and Box–Behnken designs

A review on hybrid optimization algorithms to coalesce computational morphogenesis with interactive energy consumption forecasting

“…Then geometric information can be extracted from each finite element and is used to estimate the heat gain and loss characteristics of the whole architectural shape as well as thermal storage and load shifting qualities of the envelope. Past research achieved to couple the aforementioned computational morphogenesis process with genetic algorithm (GA) free-form building shape optimization for a variety of climate zones [32,[65][66][67]77]. The optimization process is based on a variety of established and sufficiently validated-evaluated reduced models that returned the thermal characteristics of free shapes in an interactive way.…”

“…For this reason Doehlert and Box-Behnken simulation designs have been developed in order to classify and discover the most influent parameters to study. Hence, if an architect knows the environment type, the centered opening ratios, the distance the high and the length of all possible shadow masks she/he can estimate with accuracy the daylight potential of different possible solutions (for example solutions with different centered opening ratios) [67]. Since the main aim of their work consists to obtain a calculation software that works in an interactive way, to perform real-time calculations in the framework of the development of EcCoGen software they incorporated these energy consumption thermal models to an originally developed multi-objective and interactive genetic algorithm which meets important requirements: diversity, performance and adaptation to an architect's subjective choices in the sketching or design stages.…”

“…Finally, Marsault [68], Marin et al [69] and Mavromatidis et al [32,67], developed EcCoGen, which is a kind of software that belongs to the family of tools based on interactive generative genetic algorithm optimization. The software generates solutions evaluated according to certain criteria, including mainly energy performance and daylight issues.…”

Achieving energy and cost savings through simple daylighting control in tropical historic buildings

“…Instead, the concept of the average daylight factor was proposed by [23] as the average over the working plane and average over all the interior surfaces. This formula provides a basis for daylighting that can be considered at all stages of the design process.…”

Determining Single Point Percentage Daylight Factor DF Values through Field Work Data in Malaysia

“…The formula for %DF is derived as follows: %DF = Ei/Eo X 100% whereby Ei is the illuminance due to daylight at a point on the indoors working plane, and Eo is the simultaneous outdoor illuminance on a horizontal plane from an unobstructed hemisphere of an overcast sky [2] [3] [4] [5].…”