Self-Powered Monitoring Platform for Energy-Efficient Buildings
This work presents a self-powered platform for indoor environmental monitoring, designed to operate autonomously under typical indoor lighting. The system integrates a perovskite photovoltaic module, a hybrid energy storage unit combining a lithium-ion battery and an ecofriendly supercapacitor, and a low-power microcontroller managing sensing and communication tasks. Environmental parameters—temperature, humidity, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{CO}_{2}$</tex>, and illuminance—are measured using both commercial sensors and a biodegradable temperature sensor based on a gelatin-graphene composite. Power management is handled by a dedicated IC that ensures efficient energy harvesting and storage. Wireless data transmission is performed via LoRa, selected for its low power consumption and long-range indoor performance. Experimental evaluation shows that the system requires approximately 22 J per day, with sufficient energy harvested under 200 lux conditions. The proposed solution demonstrates the feasibility of sustainable, maintenance-free monitoring in smart buildings, combining low-power electronics with environmentally responsible materials.
Authors
- Luca La Notte (ORCID: https://orcid.org/0000-0001-9234-5804)
- S. Pagano (ORCID: https://orcid.org/0000-0001-6894-791X)
- C. Barone (ORCID: https://orcid.org/0000-0002-6556-7556)
- Guerino Avallone (ORCID: https://orcid.org/0000-0001-5482-0299)
- Paolo Sdringola (ORCID: https://orcid.org/0000-0003-4402-2095)
- Alessandro Lorenzo Palma (ORCID: https://orcid.org/0000-0002-1682-7032)
- Giovanni Landi (ORCID: https://orcid.org/0000-0002-0640-479X)
- Giovanni Puglisi (ORCID: https://orcid.org/0000-0002-7913-5121)
Institutions
- National Agency for New Technologies, Energy and Sustainable Economic Development (IT)
- University of Salerno (IT)
Publication Details
- Published
- 2025-07-15
- DOI
- https://doi.org/10.1109/eeeic/icpseurope64998.2025.11169232
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00