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HomeTAP ResearchScalable energy harvesting of unused mechanical energy in the environment

Scalable energy harvesting of unused mechanical energy in the environment

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Scalable energy harvesting of unused mechanical energy in the environment
Low-frequency mechanical energy harvesting could provide as much as 40 percent of the power requirements for next generation smartphones and tablets. Credit: Wang Lab/Penn State

A new concept in energy harvesting could capture energy that is currently mostly wasted due to its characteristic low frequency and use it to power next-generation electronic devices. In a project funded by electronics giant Samsung, a team of Penn State materials scientists and electrical engineers has designed a mechanical energy transducer based on flexible organic ionic diodes that points toward a new direction in scalable energy harvesting of unused mechanical energy in the environment, including wind, ocean waves and human motion.


Devices to harvest ambient mechanical energy to convert to electricity are widely used to power wearable electronics, biomedical devices and the so-called Internet of Things (IoT)—everyday objects that wirelessly connect to the internet. The most common of these devices, based on the piezoelectric effect, operate most efficiently at high frequency, greater than 10 vibrations per second. But at lower frequencies their performance falls off dramatically.

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“Our concept is to specifically design a way to turn low-frequency motion, such as human movement or , into electricity,” said Qing Wang, professor of materials science and engineering, Penn State. “That’s why we came up with this organic polymer p-n junction device.”

Called an ionic diode, their device is composed of two nanocomposite electrodes with oppositely charged mobile ions separated by a polycarbonate membrane. The electrodes are a polymeric matrix filled with carbon nanotubes and infused with ionic liquids. The nanotubes enhance the conductivity and mechanical strength of the electrodes. When a mechanical force is applied, the ions diffuse across the membrane, creating a continuous direct current. At the same time, a built-in potential that opposes ion diffusion is established until equilibrium is reached. The complete cycle operates at a frequency of one-tenth Hertz, or once every 10 seconds.

For smart phones, the involved in touching the screen could be converted into electricity that can be stored in the battery. Other human motion could provide the energy to power a tablet or wearable device.

“Because the device is a polymer, it is both flexible and lightweight,” Wang said. “When incorporated into a next-generation smart phone, we hope to provide 40 percent of the energy required of the battery. With less demand on the battery, the safety issue should be resolved.”

According to the authors on the paper “Flexible Ionic Devices for Low-Frequency Mechanical Energy Harvesting” published online in the journal Advanced Energy Materials, “The peak power density of our device is in general larger than or comparable to those of piezoelectric generators operated at their most efficient frequencies.”

Michael Hickner, associate professor of materials science and engineering, produced the ionic polymers, with Liang Zhu, a postdoctoral scholar in his group. Qiming Zhang, distinguished professor of electrical engineering, and his group focused on device integration and performance. Wang’s group, including coauthors postdoctoral scholar Qi Li and graduate student Yong Zhang, focused on materials optimization. The co-lead authors are visiting scholar Ying Hou, recent Ph.D graduate Yue Zhou and visiting scholar Lu Yang, all part of Zhang’s group.

“Right now, at low frequencies, no other device can outperform this one. That’s why I think this concept is exciting,” Wang said.

Future work will involve further optimization and integration into smart phones and tablet devices.


Explore further:
Flexible device captures energy from human motion

More information:
Ying Hou et al. Flexible Ionic Diodes for Low-Frequency Mechanical Energy Harvesting, Advanced Energy Materials (2016). DOI: 10.1002/aenm.201601983

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