Author
Listed:
- Liu, Wenzhuo
- Lu, Mengying
- Bai, Haoliang
- Liu, Zhe
- Lv, Song
Abstract
Photovoltaic-thermoelectric generator (PV-TEG) is a hot way to enhance full-spectrum utilization and improve energy conversion efficiency. However, the fluctuation of energy input in actual outdoor environments and the coupling characteristics of dual modules seriously affect the photovoltaic output performance and efficiency. This study proposes an integrated control strategy that combines maximum power point tracking (MPPT) with dual-axis solar tracking (DAST), enhancing the real-world performance of PV-TEG. The system uses DAST to precisely follow the sun's position through three-dimensional attitude calculation. To address real-time environmental fluctuations, this study combines the cuckoo search algorithm with constant current and constant voltage (CC-CV) charging strategies, enhancing the system's resilience and energy storage efficiency. Additionally, a synchronous buck converter circuit was employed to address energy losses in DC-DC converters during the energy storage process. Experimental results demonstrate an energy conversion efficiency of up to 98.93 % under load conditions. The 24-h outdoor operational comparative experiment demonstrated that, compared to the fixed south-facing PV-TEG system, our system exhibited significant improvements in key performance metrics. Specifically, the average output power increased by 71.73 %, the photovoltaic conversion efficiency improved by 10.01 %. This effectively reduces coupling losses in hybrid clean energy systems, promoting their future efficient utilization.
Suggested Citation
Liu, Wenzhuo & Lu, Mengying & Bai, Haoliang & Liu, Zhe & Lv, Song, 2026.
"All-day autonomous MPPT energy storage PV-TEG hybrid system based on dual axis solar tracker,"
Renewable Energy, Elsevier, vol. 256(PE).
Handle:
RePEc:eee:renene:v:256:y:2026:i:pe:s0960148125017586
DOI: 10.1016/j.renene.2025.124094
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