Shadow enhanced self-charging power system for wave and solar energy harvesting from the ocean

Qian Zhang, Qijie Liang, Dilip Krishna Nandakumar, Hao Qu, Qiongfeng Shi, Fuad Indra Alzakia, Darrell Jun Jie Tay, Lin Yang, Xueping Zhang, Lakshmi Suresh, Chengkuo Lee, Andrew Thye Shen Wee and Swee Ching Tan ()
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Qian Zhang: National University of Singapore
Qijie Liang: National University of Singapore
Dilip Krishna Nandakumar: National University of Singapore
Hao Qu: National University of Singapore
Qiongfeng Shi: National University of Singapore
Fuad Indra Alzakia: National University of Singapore
Darrell Jun Jie Tay: National University of Singapore
Lin Yang: National University of Singapore
Xueping Zhang: National University of Singapore
Lakshmi Suresh: National University of Singapore
Chengkuo Lee: National University of Singapore
Andrew Thye Shen Wee: National University of Singapore
Swee Ching Tan: National University of Singapore

Nature Communications, 2021, vol. 12, issue 1, 1-11

Abstract: Abstract Hybrid energy-harvesting systems that capture both wave and solar energy from the oceans using triboelectric nanogenerators and photovoltaic cells are promising renewable energy solutions. However, ubiquitous shadows cast from moving objects in these systems are undesirable as they degrade the performance of the photovoltaic cells. Here we report a shadow-tribo-effect nanogenerator that hybrids tribo-effect and shadow-effect together to overcome this issue. Several fiber-supercapacitors are integrated with the shadow-tribo-effect nanogenerator to form a self-charging power system. To capture and store wave/solar energy from oceans, an energy ball based on the self-charging power system is demonstrated. By harnessing the shadow-effect, i.e. the shadow of the moving object in the energy ball, the charging time shortens to 253.3 s to charge the fiber-supercapacitors to the same voltage (0.3 V) as using pure tribo-effect. This cost-effective method to harvest and store the wave/solar energy from the oceans in this work is expected to inspire next-generation large-scale blue energy harvesting.

Date: 2021
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DOI: 10.1038/s41467-021-20919-9

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