Organisation Name
JEMS, energetska družba d.o.o.
Industry
Oil and gas production, oil refining
Organisation Website
Country
Slovenia
Sustainable Development Goals (SDGs)
SDG 7: Affordable and Clean Energy
SDG 11: Sustainable Cities and Communities
SDG 13: Climate Action
General Description of the AI tool
Our project proposes integrating AI with various waste-to-energy technologies to enhance efficiency and sustainability in local circular economy. We are using cognitive digital twins to operate machines independently and in the context of the circular value chains. Digital twins are being modeled from the IOT data of the machines and relevant external information like weather and local waste production rates. The model will optimize operations within a local circular economy by predicting the best waste-to-fuel conversion methods that are not harming the environment.
Relevant Research and Publications
BRECELJ, Bor, ŠIRCELJ, Beno, ROŽANEC, Jože Martin, FORTUNA, Blaž, MLADENIĆ, Dunja. Forecasting sensor values in waste-to-fuel plants : a case study. V: MLADENIĆ, Dunja (ur.), GROBELNIK, Marko (ur.). Odkrivanje znanja in podatkovna skladišča – SiKDD = Data Mining and Data Warehouses – SiKDD : Informacijska družba – IS 2022 = Information Society – IS 2022 : zbornik 25. mednarodne multikonference = proceedings of the 25th International Multiconference : zvezek C = volume C : 10. oktober 2022, 10 October 2022, Ljubljana, Slovenija.
https://www.krmc.si/wp-content/uploads/CDP-Technology-Short.pdf
https://bb.si/blog/mag-muharem-husic-kljucna-je-uporaba-znanja/
Needs
Funding