@inproceedings{d34b80fed4ed4781b4d27ff7bf1f84ba,
title = "Energy Consumption Optimisation for Horticultural Facilities",
abstract = "This paper proposes a framework designed to optimise energy consumption in vertical farming. It aims to maximise cost efficiency by balancing between minimising system operations during the electricity price peaks and the ability to trade capacity on the FCR market while also fulfilling constraints on the internal growing process. We consider that the vertical farming system has distributed control with a series of actuators controlled by various spatially distributed PLCs that we refer to as agents, to underline their independence. The paper conducts two experiments for a lO-agent system with a Pareto controller and a lOO-agent system with a Lagrangian approach and shows the balance between more cost-efficient momentary energy consumption control.",
keywords = "energy consumption optimisation, multi-agent systems, vertical farming",
author = "Kirill Zhukovskii and Polina Ovsiannikova and Pranay Jhunjhunwala and Paolo Scarabaggio and Raffaele Carli and Mariagrazia Dotoli and Valeriy Vyatkin",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; IEEE International Conference on Emerging Technologies and Factory Automation, ETFA ; Conference date: 10-09-2024 Through 13-09-2024",
year = "2024",
doi = "10.1109/ETFA61755.2024.10710757",
language = "English",
series = "IEEE International Conference on Emerging Technologies and Factory Automation, ETFA",
publisher = "IEEE",
editor = "Tullio Facchinetti and Angelo Cenedese and Bello, {Lucia Lo} and Stefano Vitturi and Thilo Sauter and Federico Tramarin",
booktitle = "2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024",
address = "United States",
}