Charge your phone while you shovel - and shiver
Waterloo researcher develops technology that harvests energy from the motion and vibrations of activities like shovelling snow
Waterloo researcher develops technology that harvests energy from the motion and vibrations of activities like shovelling snowBy Carol Truemner Faculty of Engineering
Would the pain and agony of shovelling snow be less if you knew you were charging your cell phone at the same time as you shivered?
Behrad Khamesee, a professor in the Waterloo’s Department of Mechanical and Mechatronics Engineering, along with his former graduate student Pratik Patel, have developed new technology that would allow a cell phone to be charged by the energy created when operating a snowblower or while shoveling snow.
This unique form of multi-tasking is possible through a 3D multi-directional energy harvester Khamesee says is the first of its kind.
“What makes it different is that it’s a single unit unlike other multi units that have been developed,” says Khamesee. Unlike similar devices, Khamesee’s patent-pending technology can harvest energy that comes from any direction by converting it into linear motion. Most existing harvesters can only harvest energy in one direction, he adds.
Less expensive, lighter and easier to install
The technology will continuously recharge batteries through vibrations caused by motion. Because just one unit is required instead of the usual three, the new technology is more cost efficient, much lighter, and easier to incorporate into devices. It’s also simple to mount directly onto machines like snowblowers and lawnmowers. It can also be strapped onto your arm or leg to produce energy while walking.
Energy harvester can light up snowboards and licence plates
It could be used to light up snowboards or other recreational equipment. “It can also light up licence plates on vehicles and eliminate the expensive wiring now used,” adds Khamesee.
Other potential uses for the harvester include health monitoring devices and wireless sensors for detecting cracks and damage to buildings and bridges.
Khamesee and Patel, who recently graduated with a master’s degree in mechanical engineering, spent about six months developing the 3D version of their research.