H2 purity control for highpressure alkaline electrolyzers
Autor: | Carlos Ocampo-Martinez, Fernando D. Bianchi, Martín David, Ricardo S. Sánchez-Peña |
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Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Materials science
Informàtica::Automàtica i control [Àrees temàtiques de la UPC] Alkaline water electrolysis Alkaline electrolysis Contamination Multiple input Automation Control and Systems Engineering Impurity Control theory H2 purity multivariable control High pressure Multivariable control Range (statistics) H2 purity Gaseous diffusion Optimisation Automation [Classificació INSPEC] Hydrogen |
Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
Popis: | Trabajo presentado en el 16th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2021, celebrado en Venecia (Italia), del 13 al 16 de junio de 2021 This paper proposes a control strategy that mitigates the cross contamination of H2 and O2 in a high-pressure alkaline electrolyzer, which consequently increases the supplied gases purity. In order to reduce the diffusion of gases through the membrane, the controller establishes the opening of two outlet valves based on the pressure of the system and the difference in liquid level between both separation chambers. Therefore, a multiple input - multiple output optimal controller is designed here. For this purpose, an available high-fidelity model was simplified in order to obtain a control-oriented model. The proposed controller was evaluated in simulation using the high-fidelity nonlinear model in a wide operating range and was compared with a pair of decoupled PI controllers. The resulting impurity of gases was below 1% in all cases. This work has been partially funded by the DEOCS project (DPI2016-76493-C3-3R). |
Databáze: | OpenAIRE |
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