Operational optimization of industrial steam systems under uncertainty using data‐ D riven adaptive robust optimization-Reference-Cited by-同舟云学术

Operational optimization of industrial steam systems under uncertainty using data‐ D riven adaptive robust optimization

Published:2018-12-28 Issue:7 Volume:65 Page:
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE J.

Author:

Zhao Liang¹²,Ning Chao²,You Fengqi²^ORCID

Affiliation:

1. Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education, East China University of Science and Technology Shanghai, 200237 China

2. Robert Frederick Smith School of Chemical and Biomolecular Engineering Cornell University Ithaca NY 14853

Funder

Division of Chemical, Bioengineering, Environmental, and Transport Systems

National Science Foundation

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.16500

Reference57 articles.

1. Modeling and Optimization of a Steam System in a Chemical Plant Containing Multiple Direct Drive Steam Turbines

2. Model-based integration of control and operations: Overview, challenges, advances, and opportunities

3. Design and Optimization of Flexible Utility Systems Subject to Variable Conditions

4. Conceptual optimisation of utility networks for operational variations—I. targets and level optimisation

5. Modelling the power production of single and multiple extraction steam turbines

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