International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 5
September-October 2026
Indexing Partners
Mathematical Optimisation of Classroom Lighting Energy Consumption Using Occupancy and Illumination Constraints
| Author(s) | Aishani Bajaj |
|---|---|
| Country | India |
| Abstract | Classroom lighting constitutes a substantial portion of energy consumption in educational buildings, with lighting accounting for approximately 23–42% of total energy use in educational facilities. Traditional lighting systems typically operate at full capacity regardless of human presence, leading to considerable energy waste during unoccupied periods. This paper reviews the literature on classroom lighting energy consumption, occupancy-based control strategies, sensor technologies and placement optimisation, daylight harvesting, and mathematical optimisation approaches, and on the basis of that review proposes a linear programming framework for classroom lighting control that treats occupancy and illumination requirements as explicit constraints. The studies reviewed report lighting operating time reductions of 48–52% and energy savings of 43–63% for occupancy- and daylight-responsive systems, together with reductions exceeding 60% where lighting is switched off during vacancy. The proposed framework is presented as a formulation rather than as an implemented and validated system; its purpose is to unify the occupancy-based control and daylight-responsive strategies that the reviewed literature has largely treated separately. The findings highlight the potential for occupancy- and daylight-responsive lighting models to significantly reduce energy consumption in educational buildings, with particular relevance for developing country contexts such as India. |
| Keywords | classroom lighting; energy optimisation; occupancy sensors; daylight harvesting; linear programming; sustainable buildings; smart lighting |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 8, Issue 5, September-October 2026 |
| Published On | 2026-09-16 |
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E-ISSN 2582-2160
CrossRef DOI prefix of IJFMR is 10.36948/ijfmr
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