Study shows 50%+ energy and greenhouse gas (GHG) reduction potential after installing LED lighting,
Dartmouth's Thayer School of Engineering and Arthur L. Irving Institute for Energy and Society announced the results of the first-ever independent study on energy efficiency in the cannabis industry.
A team of 6 senior engineering students conducted research through the Cook Engineering Design Center at Dartmouth over a six-month period during the 2021-22 academic year, adopting a whole system approach to meet plant and grower needs by focusing on yield per unit of energy, cost, and carbon emission. This research will ultimately provide regulators and industry operators with key insights into how the cannabis industry can meet climate, grid, and energy goals while improving business operations and cost targets.
The students found that operators using LED lights can reduce energy use by 50% with even greater savings for those using HPS systems. Even larger savings are likely available to the indoor cannabis industry overall since the scant data available suggests that industry-wide energy use intensity is 2-3X higher than the optimal minimum conditions needed for robust product production.
A team of 6 senior engineering students conducted research through the Cook Engineering Design Center at Dartmouth over a six-month period during the 2021-22 academic year, adopting a whole system approach to meet plant and grower needs by focusing on yield per unit of energy, cost, and carbon emission. This research will ultimately provide regulators and industry operators with key insights into how the cannabis industry can meet climate, grid, and energy goals while improving business operations and cost targets.
The students found that operators using LED lights can reduce energy use by 50% with even greater savings for those using HPS systems. Even larger savings are likely available to the indoor cannabis industry overall since the scant data available suggests that industry-wide energy use intensity is 2-3X higher than the optimal minimum conditions needed for robust product production.
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