A NOVEL FLEXIBILITY ANALYSIS APPROACH FOR PROCESSES WITH STOCHASTIC PARAMETERS Academic Article uri icon

abstract

  • This paper presents a novel flexibility analysis approach for process systems with stochastic parameters. Assuming a linear model for the process and a Gaussian distribution model for the parameter uncertainty, a computational strategy is proposed which fully exploits the probabilistic structure of the problem, and with which a stochastic flexibility index can be determined. This index measures the probability that a given design is feasible to operate by explicitly taking into account the existence of operating degrees of freedom. A major feature of the suggested procedure is that it can handle any number of correlated and/or independent parameters. Examples are presented to illustrate the proposed methodology. 1990.

published proceedings

  • COMPUTERS & CHEMICAL ENGINEERING

author list (cited authors)

  • PISTIKOPOULOS, E. N., & MAZZUCHI, T. A.

citation count

  • 126

complete list of authors

  • PISTIKOPOULOS, EN||MAZZUCHI, TA

publication date

  • September 1990