Differential algebraic modeling of an alkaline electrolyzer plant

Fuente: arXiv
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Autori principali: Cantisani, Nicola, Dovits, Josefine, Jørgensen, John Bagterp
Natura: Preprint
Pubblicazione: 2023
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author Cantisani, Nicola
Dovits, Josefine
Jørgensen, John Bagterp
author_facet Cantisani, Nicola
Dovits, Josefine
Jørgensen, John Bagterp
contents We develop a mathematical model for dynamic simulation of an alkaline electrolyzer plant. The plant includes the stack, a water recirculation system and hydrogen storage with compressor. We model each component of the system with mass and energy balances. Our modeling strategy consists of a rigorous and systematic formulation using differential algebraic equations (DAE), along with a thermodynamic library that evaluates thermophysical properties. We perform a simulation with step power input. Dynamic modeling enables simulation and model-based optimization and control for optimal hydrogen production under varying operating conditions.
format Preprint
id arxiv_https___arxiv_org_abs_2311_09882
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Differential algebraic modeling of an alkaline electrolyzer plant
Cantisani, Nicola
Dovits, Josefine
Jørgensen, John Bagterp
Systems and Control
We develop a mathematical model for dynamic simulation of an alkaline electrolyzer plant. The plant includes the stack, a water recirculation system and hydrogen storage with compressor. We model each component of the system with mass and energy balances. Our modeling strategy consists of a rigorous and systematic formulation using differential algebraic equations (DAE), along with a thermodynamic library that evaluates thermophysical properties. We perform a simulation with step power input. Dynamic modeling enables simulation and model-based optimization and control for optimal hydrogen production under varying operating conditions.
title Differential algebraic modeling of an alkaline electrolyzer plant
topic Systems and Control
url https://arxiv.org/abs/2311.09882