AI for Waste-to-Energy Systems in Urban Areas: Circular Economy Modeling & Emissions Reduction
Harnessing AI for Sustainable Waste Management and Energy Solutions
About This Course
This 3-day workshop focuses on the application of AI in waste-to-energy systems in urban areas, emphasizing circular economy modeling and lifecycle emissions reduction tracking. Participants will explore how AI can optimize waste management, enhance energy production, and track emissions to achieve sustainable urban development. Designed for professionals and researchers in environmental engineering, sustainability, and urban planning, the workshop offers practical insights into using AI for smarter, cleaner urban solutions
Workshop Structure
Day 1: Introduction to Waste-to-Energy Systems & AI Applications
-
Overview of Waste-to-Energy Systems
-
Principles and types of waste-to-energy technologies (incineration, biogas, pyrolysis)
-
Role of waste-to-energy in sustainable urban development
-
Key challenges and opportunities in urban waste management
-
-
Introduction to AI in Waste Management
-
How AI can optimize waste sorting, collection, and treatment processes
-
Applications of AI in monitoring and controlling waste-to-energy systems
-
Case studies of AI implementation in waste management and energy generation
-
Day 2: Circular Economy Modeling & AI-Driven Emissions Tracking
-
Circular Economy in Waste-to-Energy Systems
-
Understanding circular economy principles and their role in waste management
-
Integrating circular economy models into urban planning and waste systems
-
AI-based tools for tracking circularity and resource recovery
-
-
Emissions Reduction and Lifecycle Analysis
-
Tracking and reducing lifecycle emissions in waste-to-energy systems
-
AI-based techniques for emissions forecasting and optimization
-
Case studies on lifecycle emissions tracking and reduction using AI
-
Day 3: AI-Enhanced Optimization of Waste-to-Energy Systems & Future Trends
-
AI for System Optimization and Efficiency
-
Machine learning algorithms for optimizing waste-to-energy processes
-
Predictive maintenance and real-time monitoring of systems using AI
-
Data-driven decision-making for energy generation and waste management
-
-
Future Trends in AI for Waste-to-Energy Systems
-
Emerging technologies and innovations in AI and waste-to-energy integration
-
Future urban sustainability goals and AI’s role in achieving them
-
Practical insights for implementing AI solutions in waste-to-energy systems
-
Who Should Enrol?
- Professionals, researchers, and students in environmental science, urban planning, and engineering.
- Individuals with an interest in sustainable urban solutions and waste management.
- No prior experience in AI or waste-to-energy systems required, but helpful.
Important Dates
Registration Ends
09/01/2025
IST 4:30 PM ( IST)
Workshop Dates
09/01/2025 – 09/03/2025
IST 5:30PM(IST)
Meet Your Mentor(s)
Fee Structure
Student Fee
₹1999 | $55
Ph.D. Scholar / Researcher Fee
₹2999 | $65
Academician / Faculty Fee
₹3999 | $75
Industry Professional Fee
₹9999 | $95
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Publication Opportunity
Get published in a prestigious open-access journal.
Centre of Excellence
Become part of an elite research community.
Networking & Learning
Connect with global researchers and mentors.
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
View All Feedbacks →