The IoT-BASED SMART LIGHTING ARCHITECTURE FOR ENERGY EFFICIENCY IN UNIVERSITY CAMPUSES: DESIGN, MODELLING AND FEASIBILITY ASSESSMENT
DOI:
https://doi.org/10.15665/cx9v4614Keywords:
Internet of Things; smart lighting; adaptive control; LoRaWAN; zone simulation; energy efficiency; RETILAP; university campus.Abstract
This paper deals with a comprehensive methodology for the design, modeling, and feasibility assessment of an IoT-based smart lighting system is presented for the campus of the Universidad de Pamplona (47 ha, 240 luminaires, 32.5 kW, 11700 kWh/month). The architecture operates across three layers: perception (ESP32, PIR HC-SR501, BH1750), communication (LoRaWAN 868/915 MHz, MQTT), and management (ThingsBoard CE). A formal Adaptive Luminaire Control (ALC) algorithm specified as a finite-state machine and a deterministic zone-level simulation model fed with field-measured data yield first-party energy reduction projections of 50.5–64.4 % per zone (95 % CI: ±6.9 pp) and 55.6 % system-wide in Phase 3 (full five-year modernization). Complete economic analysis with an NPV of COP 91M–197M, IRR of 77–146%, and discounted payback of 10–18 months at a 12% annual discount rate confirms viability across all 42 sensitivity scenarios. The study establishes a replicable methodological framework aligned with RETILAP, CREG 174/2021, and NTC 2050.
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