DESIGN OF A CO-LOCATED SOLAR-PIEZOELECTRIC HYBRID ENERGY HARVESTER FOR AUTONOMOUS SYSTEMS | Zenodo Skip to main Communities My dashboard Log in Sign up Published April 24, 2026 | Version v1 Publication Open DESIGN OF A CO-LOCATED SOLAR-PIEZOELECTRIC HYBRID ENERGY HARVESTER FOR AUTONOMOUS SYSTEMS Authors/Creators K. Anbarasan, A. Hareesh, S. Dinesh Kumar, E. Elancheran & N. Aravinth Description The increasing demand for reliable and sustainable power sources for decentralized and low-power applications has accelerated research into hybrid energy harvesting systems. This paper presents the design and simulation of an autonomous hybrid power system utilizing co-located solar photovoltaic (PV) and piezoelectric energy harvesters. The proposed system addresses the intermittency of single-source renewable systems by simultaneously harvesting solar irradiance and ambient mechanical vibrations. A Maximum Power Point Tracking (MPPT) controller is employed to maximize energy extraction from the PV module, while the piezoelectric output is conditioned using a full-wave rectifier. The regulated outputs from both sources are integrated through a buck-boost DC-DC converter to maintain a stable DC bus voltage under varying environmental conditions. A microcontroller/DSP-based control unit generates pulse-width modulation (PWM) signals for efficient power management and converter operation. Energy storage is achieved using a lithium-ion battery supervised by a Battery Management System (BMS) to ensure safe charging, discharging, and extended battery lifespan. The complete system is modelled and simulated using MATLAB/Simulink, and performance is evaluated under charging and discharging modes. Simulation results demonstrate stable voltage regulation, controlled state-of-charge variation, and reliable energy delivery, validating the effectiveness of the proposed hybrid architecture. The system is well-suited for autonomous applications such as IoT devices, smart sensors, and off-grid monitoring systems. Files 53-57.pdf Files (428.7 kB) Name Size Download all 53-57.pdf md5:5e6d0b42542bd12146d8d8b9111cdd68 428.7 kB Preview Download Additional details Identifiers ISSN 2456-3137 Related works Is published in Publication:
2456-3137
(ISSN) Dates Accepted 2026-04-24 References 2456 - 3137 30 Views 11 Downloads Show more details All versions This version Views Total views 30 30 Downloads Total downloads 11 11 Data volume Total data volume 4.7 MB 4.7 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19740762 Markdown [](https://doi.org/10.5281/zenodo.19740762) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19740762.svg :target: https://doi.org/10.5281/zenodo.19740762 HTML <a href="https://doi.org/10.5281/zenodo.19740762"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19740762.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19740762.svg Target URL https://doi.org/10.5281/zenodo.19740762 Resource type Publication Publisher Zenodo Published in International Journal of Computational Research and Development, 11(1), 53-57, ISSN: 2456 - 3137, 2026. Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 24, 2026 Modified April 24, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies