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Smart Greenhouses May Reduce Electricity Expenditure: Plants Journal Study

"When LED lights first came to market, they gave us an opportunity to control greenhouse lighting on a level that was not possible before," said Marc Van Iersel, a professor in the College of Agricultural and Environmental Sciences.

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A new study has found a new, internet-connected lighting system for greenhouses that could sharply reduce a farmer’s electrical bill.

The research has been published in the ‘Plants Journal’.

The study showed that a predictive lighting control system could optimize lighting for plants by predicting sunlight and only running the lights when needed. The data showed that farmers could reduce their greenhouse electrical costs by as much as 33 per cent by optimizing their lights.

On rainy or cloudy days, plants are given supplemental lighting to make up for the lack of sunlight. While effective, these lights can be expensive, inefficient and consume huge amounts of electricity. A 2017 report from the U.S. Department of Energy estimated that horticultural lighting consumed USD 600 million worth of electricity every year.

“When LED lights first came to market, they gave us an opportunity to control greenhouse lighting on a level that was not possible before,” said Marc Van Iersel, a professor in the College of Agricultural and Environmental Sciences.

“At the time, a lot of research was happening to optimize the lights themselves, but almost no one was working on smart control of the lighting system,” he added.

“The electricity used for the lights is anywhere from 10 per cent to 30 per cent of the cost of running a greenhouse,” Van Iersel said.

“Our research began with the idea that, if we can reduce this cost, we can very quickly have an impact on the efficiency and sustainability of greenhouses,” he added.

A team of University of Georgia researchers designed a new lighting system that could reduce a greenhouse’s electrical demand without hurting the plants.

Electrical engineering master’s student Shirin Afazli built a control system that used sensors to measure current weather conditions, and Ph.D. student Sahand Mosharafian and associate professor Javad Mohammadpour Velni developed light-predicting algorithms in their laboratories.

In combination, the system can predict the amount of sunlight in the future. This allows it to optimize the lights inside the greenhouse and give plants the correct amount of light.

Greenhouses are predominantly used during the winter and spring, so the team tested their system during both growing seasons. While both experiments showed reduced costs while maintaining plant growth, the new system made a bigger impact during the spring. It reduced costs by 33 per cent in the spring but only 4 per cent in the winter. The system generated the most savings while the sun is shining. Because winter months have shorter days, the lights are required to be on more often.

According to the researchers, the actual cost savings could be even higher. Their experiments assumed a fixed cost for electricity, but in the real world, farms are subject to variable pricing. The team has already programmed the system to account for this variable and plans to publish future research that shows higher savings rates. As the planet’s population continues to rise, finding ways to produce more food with fewer resources becomes increasingly important.

SMEStreet Edit Desk

SMEStreet Edit Desk is a small group of excited and motivated journalists and editors who are committed to building MSME ecosystem through valuable information and knowledge spread.

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