TY - CHAP
T1 - The effect of location and inter-cluster networks on the optimal decarbonization of ammonia production
AU - Tiggeloven, Julia L.
AU - Faaij, André P.C.
AU - Kramer, Gert Jan
AU - Gazzani, Matteo
AU - Makrakis, Charidimos
N1 - Publisher Copyright:
© 2024 Elsevier B.V.
PY - 2024/6/26
Y1 - 2024/6/26
N2 - Ammonia is a key platform chemical, especially for the synthesis of fertilizers, and an important energy vector in net-zero energy systems. Yet, it faces environmental challenges due to its energy-intensive production and substantial greenhouse gas emissions. As such, prioritizing the decarbonization of the ammonia production process is crucial. In this study, we employ mixed integer linear programming optimization to assess different decarbonization strategies for low-carbon ammonia production. As a case study, we consider two existing production sites in the Netherlands, which allows us to investigate the influence of site-specific factors and the advantages of inter-cluster networks. Results show, that retrofitting plants with carbon capture achieves an 83-97.3 % cost-effective emission reduction. We also show, that achieving an early net-zero ammonia industry via H2O electrolysis presents challenges due to the availability of green electricity and the CO2 intensity of the electricity grid.
AB - Ammonia is a key platform chemical, especially for the synthesis of fertilizers, and an important energy vector in net-zero energy systems. Yet, it faces environmental challenges due to its energy-intensive production and substantial greenhouse gas emissions. As such, prioritizing the decarbonization of the ammonia production process is crucial. In this study, we employ mixed integer linear programming optimization to assess different decarbonization strategies for low-carbon ammonia production. As a case study, we consider two existing production sites in the Netherlands, which allows us to investigate the influence of site-specific factors and the advantages of inter-cluster networks. Results show, that retrofitting plants with carbon capture achieves an 83-97.3 % cost-effective emission reduction. We also show, that achieving an early net-zero ammonia industry via H2O electrolysis presents challenges due to the availability of green electricity and the CO2 intensity of the electricity grid.
KW - Ammonia production
KW - decarbonization
KW - inter-cluster networks
KW - location
KW - MILP
UR - http://www.scopus.com/inward/record.url?scp=85196773782&partnerID=8YFLogxK
U2 - 10.1016/B978-0-443-28824-1.50131-9
DO - 10.1016/B978-0-443-28824-1.50131-9
M3 - Chapter
AN - SCOPUS:85196773782
VL - 53
T3 - Computer Aided Chemical Engineering
SP - 781
EP - 786
BT - 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering
A2 - Manenti, Flavio
A2 - Reklaitis, Gintaras V.
PB - Elsevier
ER -