The team of Ping Jianfeng, a researcher at the School of Biosystems Engineering and Food Science of Zhejiang University, applied friction nano-generator technology to agricultural textiles for the first time, and used it to collect rainwater energy during rainfall and obtain electrical energy through energy conversion. Related results were published in "Nano Energy" recently.
The current development of agricultural information "passive perception" is a major trend of smart agriculture in the future. Ping Jianfeng's research group proposed a simple and effective method to extract natural energy from the agricultural environment and efficiently convert it into electrical energy.
The southern region often suffers from heavy rains, causing huge losses in agricultural production. Agricultural textiles are most common in greenhouse facilities. Researchers have combined the two ingeniously, covering the yarn surface of agricultural textiles with two layers of special materials-conductive titanium carbide nanomaterials and non-conductive polydimethylsiloxane (a high molecular polymer, capable of Waterproof and electronic transfer with rain in the environment). By functionalizing the surface of the yarn, the friction nano-generator is attached to the yarn and woven into intelligent agricultural textiles. The electron transfer and flow during the rain wash are used to generate current, which continuously supplies energy to smart agriculture. The yarn loaded with friction nano-generators can be said to be "passive living water" for smart agriculture.
Experimental data shows that under a continuous force of 9.5 Newtons, a 3 cm long yarn can generate a voltage of 7.7 volts.
Ping Jianfeng introduced that by connecting energy storage equipment in the future, these modified agricultural textiles can not only provide protection for planting and animal husbandry to improve the quality and output of agricultural and livestock products, but also continuously supply electricity for IoT sensing devices. To carry out passive monitoring of agricultural information and provide real-time weather conditions. (Reporter Cui Xueqin)
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