Application of Artificial Intelligence in Green Pyrolysis Technologies for Carbon Footprint Minimization

DOI

10.2991/978-94-6239-668-5_73How to use a DOI?

Keywords

green pyrolysis; artificial intelligence; carbon footprint; ecological optimization; bioenergy; circular economy

Abstract

Green pyrolysis technologies have significant potential in modern industry for converting waste into energy and reducing carbon emissions. These technologies enable the transformation of waste into valuable energy resources while contributing to the development of environmentally sustainable processes. However, conventional pyrolysis systems may disrupt ecological balance due to high energy consumption and CO₂ emissions, which negatively affect the implementation of sustainable industrial strategies.In the initial stage of this research, the SDG 13 – Climate Action goal provided the strategic framework. In the extended stage of the study, the Ecologically Intelligent Control Framework (EICF) was implemented to ensure the practical realization of these objectives. The EICF optimizes pyrolysis processes through artificial intelligence-based control, monitors emissions in real time, and minimizes the carbon footprint.The application of this framework resulted in a reduction of CO₂ emissions by up to 30% and an increase in energy efficiency by more than 20%. Therefore, while the research strategically supports SDG 13, the EICF ensures its technological and practical implementation. This approach enables economically efficient and environmentally responsible management of industrial processes. Furthermore, the EICF model promotes the sustainable development of green pyrolysis technologies and mitigates environmental risks by converting industrial waste into energy resources.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Fakhraddin Yusubov Vali
AU  - Sevinc Guliyeva Nizami
PY  - 2026
DA  - 2026/05/14
TI  - Application of Artificial Intelligence in Green Pyrolysis Technologies for Carbon Footprint Minimization
BT  - Proceedings of the International Conference on Current Problems in Engineering and Applied Sciences (ICCPEAS 2025)
PB  - Atlantis Press
SP  - 708
EP  - 718
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-668-5_73
DO  - 10.2991/978-94-6239-668-5_73
ID  - Vali2026
ER  -