Abstract
The common use of electric lighting in interiors has led to the need to search for user- and environmentally-friendly solutions. In this research, the impact of the luminaires and room parameters on the selected parameters of general lighting in interiors was assessed. To achieve the objective of this work, a computer simulation and statistical analysis of results were conducted. The illuminance uniformity on work plane, ceiling and wall relative illuminances, utilance, and normalized power density of lighting installations for 432 situations were analyzed in detail. The scenarios were varied in terms of room size, reflectance, lighting class, luminaire downward luminous intensity distribution, and layout. The lighting class was a factor having the highest impact on ceiling and wall illumination, utilance, and power. It was also shown that the impact of lighting class on ceiling illumination, utilance and power, was different in interiors of various sizes. The impact of reflectances and luminaire layouts on the analyzed parameters was significantly lower. The results also demonstrated that the use of different lighting classes gave the possibility of reducing the power of general lighting in interiors at a level of 30% on average. Based on the results, a classification of energy efficiency in general lighting in interiors was also proposed. Understanding the correlations between the lighting system used and the effects achieved is helpful in obtaining comfortable and efficient lighting solutions in interiors.
Highlights
Lighting is an essential topic in any debate on a building’s environment
The lighting class and room size are the key factors determining the levels of ceiling relative illuminance, lighting installation utilance, and normalized power density
The lighting class and the luminaire downward luminous intensity distribution are the key factors determining the level of the wall relative illuminance
Summary
Lighting is an essential topic in any debate on a building’s environment It is an important element of smart cities and buildings [1]. The large scale use of artificial lighting forces us to search for the solutions that are energy-efficient [3,4,5], environmentally friendly [6,7], and economically rational [8,9]. These three aspects are very important while evaluating any lighting solution. They cannot obscure the pursuit of the fundamental lighting function which is the need to create a luminous environment enabling people to work and stay in private and public spaces efficiently, comfortably and, as a consequence, safely [10,11]
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