This 3-day intensive workshop explores green ammonia as both a fuel and fertilizer, with a focus on electrolytic production pathways, plant integration, and safety. Participants will compare storage and transport options, evaluate end-use in engines, fuel cells, and fertilizers, and understand key LCOA and carbon intensity drivers. Through hands-on Excel modeling, they will build decision-ready LCOA/CI tools to assess the bankability of green ammonia projects.
Aim
To give participants a practical, end-to-end understanding of green ammonia as fuel and fertilizer—covering electrolytic production, safe storage and logistics, and LCOA/CI modeling for bankable project decisions.
What Participants Will Learn
Understand key electrolytic pathways (PEM/alkaline/SOEC) and their integration with ASU and Haber–Bosch/e-Haber.
Size core units (electrolyzers, ASU, synthesis loop, storage) and develop first-cut LCOA estimates.
Compare storage, transport, and end-use options for ammonia as fuel and fertilizer.
Quantify carbon intensity (CI) and identify main technical and commercial LCOA/CI drivers.
Build and test a decision-ready LCOA/CI model to support bankable green ammonia projects.
Structure
📅 Day 1 – Digital Foundations & Electrolyzer Pathways
Digital overview: RE power → PEM/Alkaline/SOEC electrolysis → N₂ from ASU → Haber–Bosch/e-Haber
Operational data layer: key process tags, historians/SCADA, data quality for AI/ML
AI/ML for electrolyzers: specific energy, stack health, availability, anomaly detection
Safety & process monitoring: loop P–T, purge/recycle, NH₃ toxicity, leak detection, area classification
Hands-on: Build plant-sizing + LCOA v1 worksheet and define minimal data set for AI models
📅 Day 2 – AI-Enhanced Storage, Transport and End Use
Storage systems: pressurized vs refrigerated tanks, boil-off and turnaround with digital monitoring
Logistics & routing: truck/rail/ship/pipeline, AI-assisted fleet sizing, scheduling and inventory control
End-use as fuel: engines/turbines/fuel cells, NOₓ monitoring, AI-guided combustion and H₂ cracking
End-use as fertilizer: conversion to urea/nitrates, agronomic efficiency, digital agriculture links
Hands-on: Size hub storage and logistics (fuel hub vs fertilizer plant) and compare rule-based vs AI-optimized dispatch
📅 Day 3 – Carbon Intensity, AI-Driven LCOA and Bankability
LCOA drivers: CAPEX/OPEX, utilization, power price, stack replacement, incentives and credits
Carbon intensity: CI (kg CO₂e/kg NH₃), grid vs RE profiles, AI-based CI forecasting and scenario analysis
Certification & MRV: guarantees of origin, digital MRV systems, AI for data validation and anomaly flags
