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Grant: Alliance Grants

Queen's University

$150,000.00

Advanced Led Grow Light Solutions for Vertical Farming

EF 2024-25

Résumé
Indoor farming relies on artificial light sources, called grow lights. Conventional grow lights produce heat and can damage plants. In order to address this issue, increase safety and reliability, and reduce energy consumption, grow lights based on Light-Emitting Diodes (LEDs) are being introduced in vertical farming. LED lights can readily adjust the intensity and spectrum of light produced. Thus, they can provide superior performance for growing plants. Energy efficient LED grow lights can not only generate substantial revenue for the economy, but will also save energy and result in a cleaner environment. Vertical farming in urban areas can result in lower energy costs and increase profitability. In addition, the energy savings and safety improvements can result in sustainable modern farming. Thus, LED grow lights are at the heart of future developments in indoor farming. The success of vertical farming is hinged on the successful development of advanced LED grow lights. In this project, an advanced LED grow light will be designed and developed to precisely "engineer" the light provided to plants. The main novel concepts include: 1) new electronics, which can precisely control the current through the LED strings and perform dynamic power boost; 2) new smart metalens design, which can provide intensity consistent light at the canopy level; and 3) new machine learning algorithms that can identify the plant type and optimize respective light attributes in order to optimize the plant growth.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
586448-2023
Name nom
Pahlevaninezhad, Majid M
Department département
Electrical and Computer Engineering
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
150000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
304
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Electrical energy
Area of application fr
Énergie électrique
Research subject code
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Advanced Led Grow Light Solutions for Vertical Farming
Keywords
ac/dc converters; control systems; led grow lights; metasurface; power electronics
Application summary
Indoor farming relies on artificial light sources, called grow lights. Conventional grow lights produce heat and can damage plants. In order to address this issue, increase safety and reliability, and reduce energy consumption, grow lights based on Light-Emitting Diodes (LEDs) are being introduced in vertical farming. LED lights can readily adjust the intensity and spectrum of light produced. Thus, they can provide superior performance for growing plants. Energy efficient LED grow lights can not only generate substantial revenue for the economy, but will also save energy and result in a cleaner environment. Vertical farming in urban areas can result in lower energy costs and increase profitability. In addition, the energy savings and safety improvements can result in sustainable modern farming. Thus, LED grow lights are at the heart of future developments in indoor farming. The success of vertical farming is hinged on the successful development of advanced LED grow lights. In this project, an advanced LED grow light will be designed and developed to precisely "engineer" the light provided to plants. The main novel concepts include: 1) new electronics, which can precisely control the current through the LED strings and perform dynamic power boost; 2) new smart metalens design, which can provide intensity consistent light at the canopy level; and 3) new machine learning algorithms that can identify the plant type and optimize respective light attributes in order to optimize the plant growth.