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🆕 Date Issued:
2020-10-29
🗄 In DepositOnce:2021-02-25
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Dynamic Process Operation Under Demand Response – A Review of Methods and Tools

Esche, Erik; Repke, Jens‐Uwe

Participating in electricity markets through demand response causes new requirements for optimizing process control of chemical plants. The last ten years have brought great advances in the formulation and solution of economic nonlinear model predictive control and state estimation to support operation of processes under dynamic constraints. However, gaps remain regarding the availabilities of suitable plant models capable of describing processes active in demand response as well as of robust schemes for state estimation and economic nonlinear model predictive control in commercial tools.
demand responsedynamic process modelseconomic NMPCstate estimation
Published in: Chemie Ingenieur Technik, 10.1002/cite.202000091, Wiley
Creative Commons Attribution 4.0 (CC BY)Creative Commons Attribution 4.0 (CC BY)
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