| CPC G05B 23/0229 (2013.01) [G05B 23/0235 (2013.01); G05B 23/0283 (2013.01); G06F 18/2148 (2023.01); G06N 20/00 (2019.01)] | 21 Claims |
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1. A method of monitoring operational characteristics of an industrial gas plant complex comprising a plurality of industrial gas plants, the method being executed by at least one hardware processor, the method comprising:
assigning a machine learning model to each of the industrial gas plants forming the industrial gas plant complex, the industrial gas plants comprising a hydrogen production plant for production of hydrogen, an air separation unit (ASU) for production of nitrogen, and an ammonia production plant for production of ammonia;
training the respective machine learning model for each industrial gas plant based on received historical time-dependent operational characteristic data for the respective industrial gas plant;
executing the trained machine learning model for each industrial gas plant to predict operational characteristics for each respective industrial gas plant for a pre-determined future time period to maximize ammonia production and produce hydrogen at a sufficient quantity to support the ammonia production given constraints on total amount of predicted power available for the pre-determined future time period and an amount of hydrogen in storage;
generating set points for the industrial gas plants based on the operational characteristics predicted via the executing of the trained machine learning model for use in the pre-determined future time period so the industrial gas plants operate to maximize ammonia production when operating during the pre-determined future time period so that as much ammonia is produced as possible for the pre-determined future time period based on the total amount of predicted power available for the pre-determined future time period;
the industrial gas plants utilizing the generated set points to produce ammonia during the pre-determined future time period so that as much ammonia is produced as possible for the pre-determined future time period;
comparing predicted operational characteristic data for each respective industrial gas plant for the pre-determined future time period with measured operational characteristic data for the corresponding time period to identify deviations in industrial gas plant performance for production and/or storage of nitrogen, ammonia, and hydrogen to identify future problems in the industrial gas plant complex; and
scheduling at least one remedial action based on the identified future problems to avoid unplanned shut-downs of the industrial gas plant complex, the at least one remedial action comprising scheduling of maintenance based on capacity of storage units to maintain continuity of service provided by the industrial gas plant complex while the maintenance is to be performed.
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