A refrigerated gas plant (RGP) faces operational challenges on
three fronts namely: 1) at the plant inlet, fluctuations in flow
rate and composition caused by multiple feed gas streams; 2) within
RGP, unscheduled shutdowns due to equipment malfunction; 3) at the
outlet, strict product specifications enforced by the customers.
These challenges force RGP to improve its efficiency in order to
sustain profitability. An identified area for improvement is during
operational planning. This type of planning poses a short-term and
continuous scheduling problem in which preconfigured setpoints are
directly implemented by regulatory controllers. While this practice
is currently accepted, economic benefits can be further realized by
frequent reevaluation of plant states through real-time
optimization (RTO). Since scheduling is performed at a much larger
time-scale (days-weeks) as compared with RTO (hours-days),
integration of these two automation layers is difficult. This book
discusses an efficient approach for integration of scheduling and
RTO in the RGP.
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