Purge stream
Cooler duty
Post make - up lean amine
P-20
Amine to make - up Wate r MU 2
To pump
Amine make - up block
Pump duty
E-200
Lean amine to cooler
CO 2 captured
MEA make - up 2
RCY-1
Clean Exh gas-env
Rich amine to regenerator
Condenser duty
Rich amine to HX
Lean amine
HX-200
Rich amine out
P-200
Reboiler duty
Flue gas Exh gas 2Abs
TW-201
TW-200
Q-100
E-201
Saturated steam
Lean amine to HX
Steam condensate
P-201
Clean exhaust to environment
Boiler
K-100
Make - up water
Gas turbine
Water removal
HX-100
V-100
F-100
E-200
E-100 V-101
TW-200
K-101
Other source
Carbon capture
TW-201
O2
P-200
HX-200
Figure 2 Carbon capture project de-risked using Aspen Fidelis
Green hydrogen and ammonia projects risk analysis Among other sustainability pathways, green hydrogen and ammonia production involve many choices. Optionality involved in these projects can become quickly confusing and overwhelming. The project team needs to progressively pin down questions such as location and type (or mix) of green-power sources, electrolyser design, energy storage options, and transport strategies. Whether to consider hydrogen, ammonia or battery storage, what to expect from dynamic weather patterns, and demand projections and prices are among the independent variables to consider. Aspen Fidelis provides performance metrics, including levelised cost of hydrogen (LCOH) and ammonia, net present value (NPV), and discounted cash flows to facilitate the decision-making process. Recently, a global petrochemical company investing in green ammonia used Fidelis to de-risk investment and ensure proper allocation
of its capital spending. The team created a detailed probabilistic end-to-end model covering renewable energy sources, hydrogen and ammonia production, storage, distribution, and sales. They tracked Opex and Capex flows over time, including equipment replacement costs, energy, product flows, revenues, and performance losses due to events. In the end, they had identified $500MM in Capex savings opportunities. Once the plant is operational, the Fidelis model will be utilised to optimise decision-making in operations, maintenance, and logistics throughout the asset’s lifecycle. Another example of the software’s application in green hydrogen and ammonia comes from Samsung E&A in South Korea. Previously, the engineering company was using Microsoft Excel spreadsheets and relied on daily averages of renewable power profile. This approach provided a simplified representation of renewable power variation. Conversely, in Aspen Fidelis simulations, they utilised a more
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