Civil Engineering and Architecture Vol. 12(3), pp. 1854 - 1868
DOI: 10.13189/cea.2024.120343
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Optimization of Lighting and Visual Comfort for Energy Efficiency in Classroom

Yunita Syafitri Rambe ¹, Aulia Muflih Nasution ^1,*, Muhathir ², M. Ragil Tri Wahyu ³, Sakina Selfira ^3
1 Architecture Study Program, Faculty of Engineering, Universitas Medan Area, Indonesia
² Department of Informatics Engineering Study Program, Faculty of Engineering, Universitas Medan Area, Indonesia
³ Student of the Architecture Program, Faculty of Engineering, Universitas Medan Area, Indonesia

ABSTRACT

The rapid population growth and societal changes in Indonesia have led to an increased demand for energy. Consequently, it has become necessary to adopt building planning strategies that prioritize comfort in order to minimize the reliance on artificial energy and thereby alleviate the escalating impacts of global warming. Buildings are significant contributors to both greenhouse gas emissions and the consumption of raw materials, which are factors in global warming. Educational facility buildings are characterized by notably high energy consumption due to the requirement that students possess adequate visual understanding to comprehend the material presented in the classroom. As an object of study, this research determines which variables influence the daylight factor and luminosity meters in order to establish the most comfortable conditions possible in the classroom. The research methodology employs quantitative data collecting, involving the processing of 60 plans using AutoCAD and Dialux software. In order to identify the most optimal results, this investigation is further supported by computer calculations employing linear regression equation methods and genetic algorithms. The objective of the study was to develop a benchmark space by establishing optimal variables and layout in order to maximize the quantity of natural light and artificial lighting, thereby promoting energy efficiency. By determining the optimal number of lux meters for artificial illumination and a standard room with variable magnitudes and quantities, this study determines the optimal location to generate the highest daylight factor. For the purpose of achieving a harmonious equilibrium between natural and artificial lighting, the application of linear regression equations and genetic algorithms can be of great assistance in determining the most highly effective combination of visual analysis. It is essential to conduct a visual optimization study since it has the potential to influence the amount of energy that is consumed by buildings.

KEYWORDS
Daylight Factor, Lux, Dialux, Regression Linear Equation, Genetic Algorithm

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Yunita Syafitri Rambe , Aulia Muflih Nasution , Muhathir , M. Ragil Tri Wahyu , Sakina Selfira , "Optimization of Lighting and Visual Comfort for Energy Efficiency in Classroom," Civil Engineering and Architecture, Vol. 12, No. 3, pp. 1854 - 1868, 2024. DOI: 10.13189/cea.2024.120343.

(b). APA Format:
Yunita Syafitri Rambe , Aulia Muflih Nasution , Muhathir , M. Ragil Tri Wahyu , Sakina Selfira (2024). Optimization of Lighting and Visual Comfort for Energy Efficiency in Classroom. Civil Engineering and Architecture, 12(3), 1854 - 1868. DOI: 10.13189/cea.2024.120343.