Stochastic Optimal Control for Gas Networks

Originally delivered Jan 21, 2014
Developed by: AIChE
  • Type:
    Archived Webinar
  • Level:
  • Duration:
    1 hour
  • PDHs:

Share This Post:

We present a stochastic optimal control model to optimize gas network inventories in the face of system uncertainties. The model captures detailed network dynamics and operational

constraints and uses a weighted risk-mean objective. We perform a degrees-of-freedom analysis to assess operational flexibility and to determine conditions for model consistency.

We compare the control policies obtained with the stochastic model against those of deterministic and robust counterparts. In addition, we demonstrate that the use of risk metrics can help operators to systematically mitigate system volatility. Moreover, we discuss computational scalability issues and effects of discretization resolution on economic


You will be able to download and print a certificate for PDH credits once the content has been viewed. If you have already viewed this content, please click here to login.



Do you already own this?

Log In for instructions on accessing this content.


AIChE Member Credits 0.5
AIChE Members $69.00
AIChE Undergraduate Student Members Free
AIChE Graduate Student Members Free
Non-Members $99.00
Webinar content is available with the kind permission of the author(s) solely for the purpose of furthering AIChE’s mission to educate, inform and improve the practice of professional chemical engineering. All other uses are forbidden without the express consent of the author(s). For permission to re-use, please contact