LAPSE:2026.0257v1
Published Article

LAPSE:2026.0257v1
Techno-economic assessment of green ammonia plants with multi-scale capacity
June 12, 2026
Abstract
Cost reduction of green ammonia production is critical to advancing the hydrogen-ammonia economy, as ammonia capable of cost-effective storage and transportation is a promising hydrogen carrier and energy carrier to alleviate the intermittency and geographical limitations of renewables. Optimisation and techno-economic assessment based on rigorous model are essential to accurately investigate techno-economic feasibility and fully explore optimisation potential. This work estimates the levelized cost of ammonia (LCOA) of an integrated system including a hydrogen generation process employing Proton Exchange Membrane (PEM) water electrolysis, a nitrogen generation process from flue gas recovery, and an ammonia synthesis process based on Haber-Bosch Process. To enhance the reliability of LCOA, detailed equipment sizing and costing is conducted according to stream data from rigorous modelling in Aspen Plus. A novel optimisation strategy is proposed to enhance the computational robustness by sequentially largening the group of optimised variables and improving the quality of initial points. Homotopy-continuation (HC) method is employed to ease the convergence difficulties for solving the flowsheet with multiple recycle streams and scaling up the plant capacities between 100 tNH3 d-1 and 600 tNH3 d-1 from an initially feasible point. Heat integration is also considered to realise the combined supply of heat and power by introducing a steam turbine power cycle and utilising the waste heat from exothermic ammonia synthesis.
Cost reduction of green ammonia production is critical to advancing the hydrogen-ammonia economy, as ammonia capable of cost-effective storage and transportation is a promising hydrogen carrier and energy carrier to alleviate the intermittency and geographical limitations of renewables. Optimisation and techno-economic assessment based on rigorous model are essential to accurately investigate techno-economic feasibility and fully explore optimisation potential. This work estimates the levelized cost of ammonia (LCOA) of an integrated system including a hydrogen generation process employing Proton Exchange Membrane (PEM) water electrolysis, a nitrogen generation process from flue gas recovery, and an ammonia synthesis process based on Haber-Bosch Process. To enhance the reliability of LCOA, detailed equipment sizing and costing is conducted according to stream data from rigorous modelling in Aspen Plus. A novel optimisation strategy is proposed to enhance the computational robustness by sequentially largening the group of optimised variables and improving the quality of initial points. Homotopy-continuation (HC) method is employed to ease the convergence difficulties for solving the flowsheet with multiple recycle streams and scaling up the plant capacities between 100 tNH3 d-1 and 600 tNH3 d-1 from an initially feasible point. Heat integration is also considered to realise the combined supply of heat and power by introducing a steam turbine power cycle and utilising the waste heat from exothermic ammonia synthesis.
Record ID
Keywords
Green ammonia, Plant scale up, Process optimisation, Rigorous modelling
Subject
Suggested Citation
Sun R, Li J. Techno-economic assessment of green ammonia plants with multi-scale capacity. Systems and Control Transactions 5:440-445 (2026) https://doi.org/10.69997/sct.114898
Author Affiliations
Sun R: Centre for Process Integration, Department of Chemical Engineering, The University of Manchester, Manchester, UK
Li J: Centre for Process Integration, Department of Chemical Engineering, The University of Manchester, Manchester, UK
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Li J: Centre for Process Integration, Department of Chemical Engineering, The University of Manchester, Manchester, UK
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Journal Name
Systems and Control Transactions
Volume
5
First Page
440
Last Page
445
Year
2026
Publication Date
2026-06-12
Version Comments
Original Submission
Other Meta
PII: 0440-0445-406-SCT-5-2026, Publication Type: Journal Article
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LAPSE:2026.0257v1
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https://doi.org/10.69997/sct.114898
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[v1] (Original Submission)
Jun 12, 2026
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References Cited
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