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Nonlinear Model Predictive Control for Solid-Oxide Electrolysis Cell Systems

Conference ·
OSTI ID:1923799
 [1];  [2];  [1];  [3];  [2];  [3];  [4];  [1]
  1. Carnegie Mellon University (CMU)
  2. NETL Site Support Contractor, National Energy Technology Laboratory
  3. NETL
  4. West Virginia University (WVU)

Dabadghao, V., D.A. Allan, M. Li, J.C. Eslick, J. Ma, S.E. Zitney, D. Bhattacharyya, and L.T. Biegler, “Nonlinear Model Predictive Control for Solid-Oxide Electrolysis Cell Systems,” AIChE 2022 Annual Meeting, Phoenix, AZ, November 13-18 (2022).

Research Organization:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
Sponsoring Organization:
USDOE Office of Fossil Energy (FE)
OSTI ID:
1923799
Country of Publication:
United States
Language:
English

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