Energy Consumption Optimisation for Horticultural Facilities

Kirill Zhukovskii*, Polina Ovsiannikova*, Pranay Jhunjhunwala*, Paolo Scarabaggio, Raffaele Carli, Mariagrazia Dotoli, Valeriy Vyatkin*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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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.

Original languageEnglish
Title of host publication2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024
EditorsTullio Facchinetti, Angelo Cenedese, Lucia Lo Bello, Stefano Vitturi, Thilo Sauter, Federico Tramarin
PublisherIEEE
Number of pages8
ISBN (Electronic)979-8-3503-6123-0
DOIs
Publication statusPublished - 2024
MoE publication typeA4 Conference publication
EventIEEE International Conference on Emerging Technologies and Factory Automation - Padova, Italy
Duration: 10 Sept 202413 Sept 2024

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

Conference

ConferenceIEEE International Conference on Emerging Technologies and Factory Automation
Abbreviated titleETFA
Country/TerritoryItaly
CityPadova
Period10/09/202413/09/2024

Keywords

  • energy consumption optimisation
  • multi-agent systems
  • vertical farming

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