Agent-based Modeling for Optimizing CO2 Reduction in Commercial Greenhouse Production with the Implicit Demand Response

Autor: Kristoffer Christensen, Zheng Ma, Yves Demazeau, Bo Nørregaard Jørgensen
Přispěvatelé: 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), IEEJ
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: 6th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization, SAMCON 2020
6th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization, SAMCON 2020, Mar 2020, Tokyo, Japan
Christensen, K, Ma, Z, Demazeau, Y & Jørgensen, B N 2020, Agent-based Modeling for Optimizing CO2 Reduction in Commercial Greenhouse Production with the Implicit Demand Response . in SAMCON2020 . The 6th IEEJ international workshop on Sensing, Actuation, Motion Control, and Optimization, Tokyo, Japan, 14/03/2020 .
University of Southern Denmark
Popis: Indndustriesustries areare ideidentified antified as s major potentialmajor potentialss toto reducereduce the the CO2 emission CO2 emission due to their large energy consumptiondue to their large energy consumption andand thethe possibilitypossibility of of providproviding ing energy flexibility wenergy flexibility with ith optimizoptimizationation andand smart smart controlcontrol. . CommeCommercial grcial greenreenhouhouseses as are considered as onere considered as one ofof the the industrindustries ies that have lthat have large arge energy energy flexibilityflexibility potepotentialsntials withwith the the hheaveaviily used ly used aartificrtificiial lightingal lighting (around (around 75% of the 75% of the electricityelectricity consumption coming from artificial lightingconsumption coming from artificial lighting)).. This paper investigates the This paper investigates the CO2 CO2 redreductuctionion potentialpotential in thin thee commercial greenhouses commercial greenhouses withwith aa cacase studse studyy of of the the DDanish anish commerccommercialial grgreenhoueenhousseses viavia parparticipation in ticipation in thethe implicit implicit DDemand emand RResponseesponse.. AAgentgent--BBased ased modemodelingling is used to simulate is used to simulate thethe greenhgreenhouse ouse production production and and the response the response toto the electricity spothe electricity spot t price signalsprice signals.. The The result shows result shows that the that the potentpotentialial of of CO2 CO2 reducreducttionion in 201in 2018 wa8 was s 0.33% 0.33% ((equalequals to s to 170 thousand170 thousand tontonnesnes)) of of the total the total DanisDanish h emissionemission whenwhen 50%50% ((equalequalss to to 181181 growersgrowers)) of the of the Danish Danish commercial greenhouses commercial greenhouses parparticipatticipatee in in thethe implicit implicit DDemand emand RResponseesponse.. The last 50% of the The last 50% of the commercial greenhcommercial greenhouseousess have a have a relativerelativellyy slow adoslow adopptition rate on rate andand account for only a small amaccount for only a small amount of ount of COCO2 reduction2 reductionss.. MeMeanwhile,anwhile, the the largelargest st reduction of the reduction of the CO2 emiCO2 emissionssion iis not ins not in chchrronologicalonological ororderder asas comcommercial gremercial greenhouseenhousess’’ financial savingfinancial saving becabecauseuse the the electricity spot prelectricity spot price ice and solar irradiationand solar irradiation dodo nonott fofollowllow each othereach other..
Databáze: OpenAIRE
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