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Abstract

In the transition to decarbonized energy systems, green ammonia will play a key role in reducing greenhouse gas emissions. However, its production remains an energy-intensive and economically demanding process. This study addresses these challenges by conducting a techno-economic optimization of a photovoltaic powered green ammonia production system, operating under grid curtailment conditions, with the aim of minimizing the levelized cost of ammonia. The system comprises a photovoltaic plant, a battery energy storage system, a proton exchange membrane water electrolyzer, a hydrogen storage unit, and a Haber-Bosch reactor for ammonia synthesis. A Mixed-Integer Linear Programming approach is employed to optimize component sizes and operation scheduling, with a target annual production of 1 kton of ammonia. Two curtailment scenarios are considered: one in which surplus electricity sold to the grid is valued at the Levelized Cost of Electricity, and an extreme scenario where surplus electricity has zero value. The analysis results in a levelized cost of ammonia of 1,038 €/ton, adjusted to 995 €/ton when considering electricity sales.

Details

1009240
Title
Minimizing LCOA in green ammonia production: optimization of components size and scheduling under varying curtailment scenarios
Publication title
Volume
3143
Issue
1
First page
012006
Number of pages
13
Publication year
2025
Publication date
Dec 2025
Publisher
IOP Publishing
Place of publication
Bristol
Country of publication
United Kingdom
Publication subject
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
3279910630
Document URL
https://www.proquest.com/scholarly-journals/minimizing-lcoa-green-ammonia-production/docview/3279910630/se-2?accountid=208611
Copyright
Published under licence by IOP Publishing Ltd. This work is published under https://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-12-06
Database
ProQuest One Academic