Abstract

Our research aims to develop an intelligent control system for optimizing the operation of lighting systems in greenhouses with a high proportion of local renewable energy using adaptive control methods, artificial intelligence 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. Due to the level of complexity, in this paper, we have focused to integrate a climate controlled greenhouse and the solar energy system. In particular, their respective components were selected and integrated by means of a distributed control architecture. As a first approach, the estimation of the solar power production from the solar cell panels was done based on the solar irradiation registered by the solar irradiation sensor embedded in the outdoor climate sensor system from the greenhouse.

Keywords

Renewable energy sources; Radiation effects; Photovoltaic cells; Lighting; Greenhouses; Production; System integration

Published in

Title: 2023 IEEE/SICE International Symposium on System Integration (SII)
eISBN: 979-8-3503-9868-7
Publisher: Institute of Electrical and Electronics Engineers

Conference

2023 IEEE/SICE International Symposium on System Integration (SII), January 17-20, 2023, Atlanta, GA, USA

SLU Authors

• Bergstrand, Karl-Johan

  • Department of Biosystems and Technology, Swedish University of Agricultural Sciences
    

Sustainable Development Goals

Ensure access to affordable, reliable, sustainable and modern energy for all


UKÄ Subject classification

Energy Systems


Publication identifier

DOI: https://doi.org/10.1109/SII55687.2023.10039148

Permanent link to this page (URI)

https://res.slu.se/id/publ/121371