Programme Parameters
Graduate / Intermediate
3 Days (4.5 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
This 3‑day hands‑on program teaches you how to assess waste‑to‑energy (WtE) routes—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. Across 4 Weeks, you will build practical fluency in LCA lens and layer AI, then consolidate everything in a capstone project. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This 3‑day hands‑on program teaches you how to assess waste‑to‑energy (WtE) routes—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.
📋 Course Objectives
1. Build practical fluency in LCA lens.
2. Gain working command of layer AI.
3. Apply AI in Energy & Utilities methods to authentic research and industry problems.
4. Build a defensible project you can showcase to supervisors, reviewers, or employers.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in AI in Energy & Utilities
• R&D engineers and working professionals applying AI in Energy & Utilities in industry
• Academics and educators building research or teaching capacity in AI in Energy & Utilities
• Data and computational scientists moving into LCA lens
🚀 Key Learning Outcomes
• Confidence to apply LCA lens in real projects.
• Confidence to implement layer AI in real projects.
• Tangible, reproducible AI in Energy & Utilities work to show supervisors or employers.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Module 1 – WtE Pathways & AI‑Ready LCA Framing
Explore the waste‑to‑energy landscape (MSW, biomass, sludge, organics) • Define carbon‑negative logic (biogenic carbon, avoided emissions, credits) • Build a baseline LCA skeleton for a selected route and compute kg CO₂e/kWh
Module 2 – AI‑Assisted Data Gap Detection & Unit Harmonisation
Apply AI tools to flag missing LCI data and generate smart assumptions • Automate unit conversion and create reusable scenario templates • Validate data quality and document uncertainty hotspots
Module 3 – Carbon Removal Integration & System Expansion
Introduce bio‑char, CCS/BECCS, mineralisation, and digestate strategies • Model avoided burden (grid displacement, landfill diversion, fertilizer substitution) • Add a removal option to the Day‑1 model and run AI‑driven sensitivity sweeps
Module 4 – Sensitivity, Uncertainty & Risk Drivers
Prioritise key drivers (methane leakage, efficiency, transport, credit assumptions) • Use AI to auto‑generate parameter sets and rapid uncertainty screening • Interpret results to identify net‑negative operating windows
Module 5 – Decision Metrics & Scenario Benchmarking
Calculate net GHG, energy yield, removal effectiveness, permanence risk, robustness score • Benchmark 2‑3 pathways (AD, gasification, pyrolysis) under identical assumptions • Generate AI‑assisted assumptions tables and anomaly flags
Module 6 – Reporting‑Ready Dashboards & Carbon‑Negative Claims
Create stakeholder‑ready dashboards with boundaries disclosure • Draft claim statements with guardrails, dos & don’ts, and uncertainty notes • Produce a simple MRV‑style template for ongoing verification
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | AI‑assisted LCA tools |
| Covered Tool / Platform | ecoinvent |
| Covered Tool / Platform | OpenLCA |
| Covered Tool / Platform | Gabi |
| Covered Tool / Platform | Tableau |
Frequently Asked Questions
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