(171c) Optimal Renewable Production of Ammonia from Water and Air
AIChE Annual Meeting
2017
2017 Annual Meeting
Computing and Systems Technology Division
Process Design
Monday, October 30, 2017 - 1:08pm to 1:27pm
In this work we have proposed the optimal design and operation of a production facility of ammonia from air and water. The separation of air as well as water electrolysis are energy intense processes. Air is filtered and compressed before dehydration. Next, it is further compressed and cooled down before entering Lindeâs double column. The product streams are used in the cooling stage of compressed air. In parallel, water is splitted into hydrogen and oxygen. Both streams must be dehydrated and compressed. Finally, hydrogen is mixed with nitrogen and fed to the reactor. Two reactor designs are considered. Both are three packed bed reactors. Each bed operates adiabatically. The first design is a three packed bed reactor that uses indirect cooling between beds. The second alternative is also a three packed bed reactor. However, in this case the streams exiting each bed are cooled down by mixing with fresh syngas before being fed to the next. All the units are modelled using mass and energy balances, thermodynamic principles such as chemical equilibrium and surrogate models based on rigorous simulation to predict the liquefaction performance, the distillation column operation and the ammonia recovery. In particular, ammonia converters are modeled in detail in MATLAB based on industrial case studies [4,5] to determine the conversion reached at each bed since typically equilibrium is not reached.
The optimization of the process selects the use of solar energy. Furthermore, a direct cooling reactor results in better performance. However, the production cost for ammonia is high, 0.9â¬/kg, as well as the investment, 1050MM⬠for an average production of 320t/day. Half of the investment cost is due to the solar panels and the rest is the chemical plant as such. Further analysis is required to include the operation of these facilities with variable solar and wind availability under uncertainty.
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