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Prediction of variable process performance by stochastic flow sheet simulation
Author(s) -
Gaddy J. L.,
Culberson Oran L.
Publication year - 1973
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690190623
Subject(s) - ammonia production , variable (mathematics) , monte carlo method , reliability (semiconductor) , process (computing) , flow (mathematics) , random variable , process simulation , stochastic process , stochastic simulation , computer science , process engineering , reliability engineering , mathematics , engineering , ammonia , statistics , thermodynamics , chemistry , power (physics) , geometry , organic chemistry , mathematical analysis , physics , operating system
The method of stochastic (Monte Carlo) simulation is employed to determine variable process performance of a 545 Mg/d ammonia plant. Operating conditions and equipment reliability are varied in a flow sheet simulation model of the process. Probability distributions of the plant production capability and failure times are generated. These data agree closely with the operating experience of an actual ammonia plant.