AI-Driven Green Ammonia: Electrolyzer Pathways, Storage Logistics, Carbon Intensity and LCOA
Power-to-Ammonia: Safe, Bankable Pathways from Renewable Electrons to Fields and Fuel Tanks
Skills you will gain:
About Program:
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.
Program Objectives:
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Understand key electrolytic pathways (PEM/alkaline/SOEC) and their integration with ASU and Haber–Bosch/e-Haber.
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Size core units (electrolyzers, ASU, synthesis loop, storage) and develop first-cut LCOA estimates.
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Compare storage, transport, and end-use options for ammonia as fuel and fertilizer.
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Quantify carbon intensity (CI) and identify main technical and commercial LCOA/CI drivers.
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Build and test a decision-ready LCOA/CI model to support bankable green ammonia projects.
What you will learn?
📅 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
- Commercial & risk view: offtake (fuel vs fertilizer), indexation, risk allocation, AI-supported risk assessment
- Hands-on: Build LCOA v2 with sensitivity and generate an AI-assisted one-page investment memo (CI range, LCOA range, key risks/mitigations)
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
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Professionals in renewable energy, hydrogen, ammonia, and fertilizer industries
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Chemical, mechanical, energy, and process engineers (plant design, operations, EPC)
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Project developers, consultants, and investors evaluating green ammonia projects
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Researchers and postgraduate students in energy systems, climate tech, and process engineering
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Policy, sustainability, and ESG professionals working on low-carbon fuels and fertilizers
Career Supporting Skills
Program Outcomes
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Understand electrolytic green ammonia production pathways and their safe integration with ASU, Haber–Bosch/e-Haber, and renewables.
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Evaluate storage and transport options and compare green ammonia end-uses as fuel (engines, turbines, fuel cells) and as fertilizer.
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Build and refine an Excel-based LCOA and carbon intensity (CI) model with key sensitivities (power price, CF, stack life, incentives).
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Assess project bankability and prepare a concise investment-style memo highlighting CI, LCOA range, and major risks/mitigations.