Model Carbon-Negative Waste-to-Energy—Faster, Safer, and Audit-Ready with AI.
This 3-day hands-on workshop teaches how to assess WtE routes (e.g., anaerobic digestion, gasification, pyrolysis) through an LCA lens and layer AI to accelerate inventory building, harmonize units, detect data gaps, and rapidly test “carbon-negative” conditions. Participants will integrate carbon removal options (biochar, CCS/BECCS, mineralization, digestate strategies), run sensitivity sweeps to identify key drivers, and produce stakeholder-ready dashboards and claim statements with transparent boundaries and uncertainty notes.
To train participants to design, evaluate, and report waste-to-energy pathways using AI-assisted LCA, carbon-removal integration, sensitivity/uncertainty screening, and MRV-style reporting for defensible carbon-negative claims.
Understand WtE pathways and the logic behind carbon-negative claims (biogenic carbon, avoided emissions, credits, permanence).
Build LCA models with correct functional units, boundaries, allocation, and data-quality checks.
Use AI to identify missing LCI data, standardize units, and generate scenario templates.
Integrate carbon-removal options and apply system expansion/avoided burden correctly.
Run AI-assisted sensitivity and uncertainty screening to identify net-negative conditions and main risk drivers.
Create reporting-ready outputs: assumptions table, dashboard, claim guardrails, and MRV-style templates.
📅 Day 1 — WtE Pathways + AI-Ready LCA Framing (Carbon-Negative Claims)
📅 Day 2 — AI-Assisted Carbon Removal Integration + System Expansion
📅 Day 3 — Decision Metrics + Digital MRV + Reporting-Ready Carbon-Negative Pathways
Students, researchers, consultants, and professionals in sustainability, energy, waste management, environmental engineering, circular economy, or climate analytics.
Basic understanding of carbon accounting or LCA helps, but not required.
Comfortable with spreadsheets; light Python familiarity is useful (templates provided).
February 18, 2026
IST 4 : 00 PM
February 18, 2026 – February 20, 2026
IST 5 :30 PM
Build a baseline LCA skeleton for a WtE route and compute kg CO₂e/kWh and/or kg CO₂e/ton waste.
Add a carbon removal option and determine conditions for carbon-negative operation via sensitivity sweeps.
Identify and rank key drivers (e.g., methane leakage, efficiency, transport, credits, permanence risk).
Benchmark 2–3 pathways under consistent rules and generate a comparison dashboard.
Draft a transparent carbon-negative claim statement with boundaries, assumptions, and uncertainty notes.
Produce a simple MRV-style reporting template suitable for stakeholders and audits.
₹2,499
$50
The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
