Abstract
Automation transforms organic waste (OW) into valuable resources, reduces environmental threats, and promotes a circular and sustainable economy. Automated systems can sort and segregate waste, optimize composting, and improve anaerobic digestion and biogas production. They can control feeding rates, pH levels, and temperature, enhancing efficiency and producing high-quality biomethane. Automated technologies can recover valuable nutrients from OW, such as nitrogen and phosphorus. Real-time monitoring and control of waste-to-value operations can be achieved through sensors, data analytics, and machine learning algorithms. Automation can also be used to develop value-added products, such as biobased compounds, bioplastics, and animal feed, reducing reliance on virgin resources and generating new income sources.
| Original language | English |
|---|---|
| Title of host publication | Harnessing Automation and Machine Learning for Resource Recovery and Value Creation |
| Subtitle of host publication | From Waste to Value |
| Publisher | Elsevier |
| Pages | 283-338 |
| Number of pages | 56 |
| ISBN (Electronic) | 9780443273742 |
| ISBN (Print) | 9780443273759 |
| DOIs | |
| State | Published - 1 Jan 2025 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2025 Elsevier Inc. All rights reserved.
Keywords
- Environmental science
- automation
- bio-based chemicals
- sustainable economy
- waste-to-value
ASJC Scopus subject areas
- General Engineering
- General Chemical Engineering
