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Agent-based Modeling of Climate and Electricity Market Impact on Commercial Greenhouse Growers’ Demand Response Adoption

Authors :
Zheng Ma
Bo Nørregaard Jørgensen
Yves Demazeau
Kristoffer Christensen
University of Southern Denmark (SDU)
The Maersk Mc-Kinney Moller Institute
Centre National de la Recherche Scientifique (CNRS)
Laboratoire d'Informatique de Grenoble (LIG)
Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )
Université Grenoble Alpes (UGA)
Source :
RIVF, 2020 RIVF International Conference on Computing and Communication Technologies (RIVF), 2020 RIVF International Conference on Computing and Communication Technologies (RIVF), Oct 2020, Ho Chi Minh, Vietnam. pp.123-128, ⟨10.1109/RIVF48685.2020.9140789⟩, Christensen, K, Ma, Z, Demazeau, Y & Jorgensen, B N 2020, Agent-based Modeling of Climate and Electricity Market Impact on Commercial Greenhouse Growers' Demand Response Adoption . in 2020 RIVF International Conference on Computing and Communication Technologies (RIVF) . IEEE, 2020 RIVF International Conference on Computing and Communication Technologies, RIVF 2020, Ho Chi Minh, Viet Nam, 14/10/2020 . https://doi.org/10.1109/RIVF48685.2020.9140789
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

International audience; Commercial greenhouses in Denmark account for 0.7% of the total Danish electricity consumption in 2017. 75% of the consumption is estimated to come from artificial light. Artificial light in the greenhouses is identified as a major potential to provide energy flexibility through demand response. Energy flexibility in greenhouses is depending on the electricity price and weather conditions as artificial light is managed in relation to natural light and hourly electricity prices. Therefore, this paper investigates commercial greenho se gro ers adoption beha ior of implicit demand response enabled software solutions in different geographical regions with different weather conditions and electricity markets. The simulation of the greenhouses is developed as an agent-based system. The paper uses Denmark as the baseline model, the UK for market comparison with Denmark, and Spain and Denmark for anal ing the adoption rate s sensitivity to solar irradiation. The results reveal that higher electricity prices and more solar irradiation result in faster adoption and the adoption rate is more sensitive to electricity price than solar irradiation.

Details

Database :
OpenAIRE
Journal :
2020 RIVF International Conference on Computing and Communication Technologies (RIVF)
Accession number :
edsair.doi.dedup.....723cffd1d4ff6cba917fb58c0b9b2871
Full Text :
https://doi.org/10.1109/rivf48685.2020.9140789