Simulation and Cost optimization of Ammonia Cracker Process

Ammonia is recognized as a promising marine fuel due to its potential to reduce CO 2 emissions serving both as an energy carrier and a clean fuel. In 2018, the International Maritime Organization (IMO) set targets to reduce greenhouse gas emissions from international shipping by at least 50% by 2050, aiming for complete elimination by 2100. In this study, a centralized ammonia cracking process was simulated using Aspen HYSYS V12. A base case was established, then other cases and a final version were simulated with the aim to maximize energy recovery from the waste heat of the cracker product. For the base case with no heat recovery, the produced H 2 /NH 3 total feed on a kg/kg basis was calculated to 0.128 while for the final version it was calculated to 0.140. New in this work is to determine the most cost optimum case by calculating and comparing the Levelized Cost of Hydrogen (LCOH) for different alternatives. The final version, with the highest hydrogen production rate (586 kmol/h hydrogen from 500 kmol/h total ammonia feed) had the lowest LCOH (5.1 USD/kg H 2 ). Recommendations for further work include reducing inherent uncertainties in the simulation like inclusion of catalyst data, defining other models than Gibbs equilibrium reactors and using data from the adsorption module of Aspen to precisely model the adsorption phenomena and conducting uncertainty analysis on the LCOH evaluations to obtain more reliable techno-economic analysis.

Authors

Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.12.180
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation and Cost optimization of Ammonia Cracker Process

Lars Erik Øi, Per Morten Hansen, Vahid Farokhi
IFAC-PapersOnLine
Ammonia Synthesis and Nitrogen Reduction
article

Simulation and Cost optimization of Ammonia Cracker Process

Lars Erik Øi, Per Morten Hansen, Vahid Farokhi
article en

Abstract

Ammonia is recognized as a promising marine fuel due to its potential to reduce CO 2 emissions serving both as an energy carrier and a clean fuel. In 2018, the International Maritime Organization (IMO) set targets to reduce greenhouse gas emissions from international shipping by at least 50% by 2050, aiming for complete elimination by 2100. In this study, a centralized ammonia cracking process was simulated using Aspen HYSYS V12. A base case was established, then other cases and a final version were simulated with the aim to maximize energy recovery from the waste heat of the cracker product. For the base case with no heat recovery, the produced H 2 /NH 3 total feed on a kg/kg basis was calculated to 0.128 while for the final version it was calculated to 0.140. New in this work is to determine the most cost optimum case by calculating and comparing the Levelized Cost of Hydrogen (LCOH) for different alternatives. The final version, with the highest hydrogen production rate (586 kmol/h hydrogen from 500 kmol/h total ammonia feed) had the lowest LCOH (5.1 USD/kg H 2 ). Recommendations for further work include reducing inherent uncertainties in the simulation like inclusion of catalyst data, defining other models than Gibbs equilibrium reactors and using data from the adsorption module of Aspen to precisely model the adsorption phenomena and conducting uncertainty analysis on the LCOH evaluations to obtain more reliable techno-economic analysis.

IFAC-PapersOnLineVol. 59(29)
Openalex Percentile: Top 72%
Ammonia Synthesis and Nitrogen Reduction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.