The importance of Artificial Intelligence (AI) in the development of the market for alternative fuels from waste

• Autorzy: Habryń Andrzej

Identyfikatory

DOI

10.32056/KOMAG2025.3

• Języki publikacji: EN

Abstrakty

EN

The article "The importance of Artificial Intelligence (AI) in the development of the market for alternative fuels from waste" by Andrzej Habryń, MSc, presents the key role of AI in the transformation of the alternative fuels sector. Artificial intelligence improves production processes, optimizes waste management and supports the development of more efficient methods of processing raw materials. Thanks to the use of image recognition technology and sensors, it is possible to sort waste precisely, which increases the efficiency of recycling. AI algorithms allow for the optimization of raw material and energy consumption, minimizing costs and environmental impact. The article also discusses specific applications of AI, such as optimizing the transesterification process in biodiesel production, smart waste management systems, and the use of mineral catalysts in plastic pyrolysis. AI also enables data analysis and forecasting of market trends, making it easier to strategically plan and adapt production to changing demand. The presented case studies, m.in solutions from ZenRobotics or Canadian waste treatment installations, confirm the effectiveness of AI in supply chain management and optimization of recycling processes. While there are many benefits, AI implementation comes with challenges such as high upfront costs, integration with existing systems, and the need to ensure data security. Future AI developments in the alternative fuels sector could focus on further improving algorithms, better utilisation of waste, and integration with renewable energy sources. AI has the potential to significantly increase operational efficiency and contribute to a more sustainable use of resources, making it a key element in the future of energy and environmental protection.

Słowa kluczowe

EN

artificial Intelligence; alternative fuels; waste; sustainable development

PL

sztuczna inteligencja; paliwa alternatywne; odpady; rozwój zrównoważony

• Wydawca: Instytut Techniki Górniczej KOMAG
• Czasopismo: Mining Machines
• Rocznik: 2025
• Tom: vol. 43
• Strony: 23--30
• Opis fizyczny: Bibliogr. 12 poz.

Twórcy

autor

Habryń Andrzej

• Non-toxic Polymers sp. z o. o., Air Storage project, M. Szeligiewicza 1 40-074 Katowice, Poland

• https://orcid.org/0000-0003-0685-8692

Bibliografia

• [1] Mitali Sarkar W.:„Renewable energy supply chain management with flexibility and automation in a production system.” Journal of Cleaner Production, 2021.
• [2] Omojola Awogbemi D.:„Application of machine learning technologies in biodiesel production process-A review,” Energy Res., 2023.
• [3] Moore A.:„AI-Powered Waste Management System to Revolutionize Recycling,” College of Natural Resources News, 2023. [Online]. Available: https://cnr.ncsu.edu/news/2023/11/ai-waste-management/
• [4] Abnisa F.:„Enhanced Liquid Fuel Production from Pyrolysis of Plastic Waste Mixtures Using a Natural Mineral Catalyst,” Energies, 2023.
• [5] Mohammed A.,Kabir J.:„Pyrolysis of Municipal Green Waste: A Modelling, Simulation and Experimental Analysis,” Energies, 2015.
• [6] Mahya F. Seyedan:„Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities,” Journal of Big Data, 2020.
• [7] Zen Robotics:„C&D Waste,” [Online]. Available:https://www.terex.com/zenrobotics/waste-types/c-d-waste
• [8] Brecelj B.:„Forecasting Sensor Values in Waste-To-Fuel Plants: A Case Study,” Artificial Intelligence, 2022.
• [9] WM software house:„Poznaj 7 trendów w zakresie zastosowania AI wprodukcji”.https://vm.pl/poznaj-7-trendow-w-zakresie-zastosowania-ai-w-produkcji
• [10] Shahbeik H.:„Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes,” Journal of Cleaner Production, 2023.
• [11] CORDIS: „Przetwarzanie tworzyw sztucznych nienadających się do recyklingu w cenne substancje chemiczne dzięki zaawansowanej technologii” [Online]. Available:https://cordis.europa.eu/article/id/451075-advanced-chemical-technology-transforms-non-recyclable-plastic-waste-into-valuable-chemicals/pl
• [12] Polska Agencja Prasowa, „Polacy w "Nature": Sposób na recykling odpadów chemicznych?Przerabiać je na leki,” [Online]. Available:https://www.pap.pl/aktualnosci/news%2C1178957%2Cpolacy-w-nature-sposob-na-recykling-odpadow-chemicznych-przerabiac-je-na

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).