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Review of Active and Passive Daylighting Technologies for Sustainable Building

According to the International Energy Agency, nearly 20% of worldwide electricity is used up by lighting. This is equal to the total electricity nuclear power generates. Thus, it is needy to explore new technologies for direct use of sunlight via integrating daylight system to the building, which is cost-saving, environment-friendly, and a green solution rather than indirect conversion of electricity to lighting even from renewable sources. In this paper, we present a review on the existing technologies of daylighting systems up to date and how they can provide lighting in a building interior via collection and distribution of sunlight. Our review is a comprehensive study to embrace both passive daylighting system with stationary design and active daylighting system equipped with sun tracking. The economic feasibility, general challenges, and prospects of daylighting systems are also discussed to understand the existing problems that hinder the extensive deployment of daylighting systems. In conclusion, more research works are needed in improving the technological development of a daylighting system so that it is more affordable, environment-friendly, less energy-intensive, and easy to install and gives uniform illumination for the effective application in both commercial building and residential houses.
- Universiti Tunku Abdul Rahman Malaysia
- Universiti Tunku Abdul Rahman Malaysia
- Universiti Tunku Abdul Rahman Sungai Long Campus Malaysia
Building Energy Efficiency and Thermal Comfort Optimization, Renewable energy, Energy Efficiency, TJ807-830, Smart lighting, Renewable energy sources, Engineering, Electricity, Artificial Intelligence, Machine Learning Methods for Solar Radiation Forecasting, Daylighting, Building Energy Consumption, Global and Planetary Change, Architectural engineering, Impact of Nighttime Light Data on Various Fields, Physics, Optics, Building and Construction, Computer science, Artificial Light, Electrical engineering, Physical Sciences, Environmental Science, Computer Science, Electric light, Daylight
Building Energy Efficiency and Thermal Comfort Optimization, Renewable energy, Energy Efficiency, TJ807-830, Smart lighting, Renewable energy sources, Engineering, Electricity, Artificial Intelligence, Machine Learning Methods for Solar Radiation Forecasting, Daylighting, Building Energy Consumption, Global and Planetary Change, Architectural engineering, Impact of Nighttime Light Data on Various Fields, Physics, Optics, Building and Construction, Computer science, Artificial Light, Electrical engineering, Physical Sciences, Environmental Science, Computer Science, Electric light, Daylight
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).21 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
