Intelligent lighting control systems for greenhouses
A project that deals with the development of intelligent control systems for greenhouse lighting with a high proportion of local renewable energy.
The project will develop an intelligent control system to optimize the operation of lighting systems in greenhouses with a high proportion of local renewable energy using adaptive control methods, Artificial Intelligence (AI) algorithms and optimization of built-in lighting control. Through this, lighting systems will be optimized, energy consumption will be minimized and the lighting system will be adapted to be able to handle a larger amount of local renewable energy production.
Goal
In implementing this project, we will design an adaptive control system based on artificial intelligence (AI) algorithms for greenhouse lighting systems with a high proportion of local renewable energy production. The project will build a greenhouse with climate control and connect a solar cell system with battery storage. By using suitable light sources that can automatically optimize the operation of greenhouse lighting systems, energy consumption will be reduced and light intensity and light quality will be increased while maintaining the production level.
Research partners
Swedish University of Agriculture (SLU)
Glava Energy Center (GEC)
SC Burman
Karlstad University (Project Coordinator)
The project is financed by the Swedish Energy Agency.