OPERATING BEHAVIOR OF A PHOTOVOLTAIC-DRIVEN ELECTROLYSIS SYSTEM

Increasing demand for clean and sustainable energy is always accompanied by the challenge of storage and transportation. Hydrogen is a promising solution for storing energy generated by solar photovoltaics (PV). The intermittent nature of PV power generation systems represents a particular challenge for coupled water electrolysis systems. Batteries can be connected in parallel with the power generation system to mitigate the intermittency of renewable sources and to reduce the nominal power of electrolyzers and, consequently, the costs. The analysis of operational behavior is the first stage of designing an algorithm for PV power generation systems composed of water electrolyzers connected with batteries in parallel with a PV power generation system. This algorithm can identify the optimal operational points for the operation. This paper analyzes the energy demand under real operating conditions of an Anion Exchange Membrane (AEM) electrolyzer and the energy required for startup. To achieve this objective, the behavior under various production rates and electrolyte temperatures followng different durations of idle phases were examined. An analysis of the dynamic response was also carried out. Significant amounts of energy are required for startup, particularly during high production rates and cold starts. From an operating time of around 3 hours after starting, the startup energy no longer plays a major role. The fast dynamic response of AEM electrolyzers also makes it possible to follow the intermittent supply from PV systems. Based on this, the energy budget for hydrogen production can be determined over the operating time, considering the startup. These results can support the development of control algorithms for the optimal operation of these green hydrogen production systems.

Institutions

Publication Details

Journal
Anais Congresso Brasileiro de Energia Solar
Published
2024-09-20
DOI
https://doi.org/10.59627/cbens.2024.2479
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

OPERATING BEHAVIOR OF A PHOTOVOLTAIC-DRIVEN ELECTROLYSIS SYSTEM

1 links
Anais Congresso Brasileiro de Energia Solar
Hybrid Renewable Energy Systems
article

OPERATING BEHAVIOR OF A PHOTOVOLTAIC-DRIVEN ELECTROLYSIS SYSTEM

article en

Abstract

Increasing demand for clean and sustainable energy is always accompanied by the challenge of storage and transportation. Hydrogen is a promising solution for storing energy generated by solar photovoltaics (PV). The intermittent nature of PV power generation systems represents a particular challenge for coupled water electrolysis systems. Batteries can be connected in parallel with the power generation system to mitigate the intermittency of renewable sources and to reduce the nominal power of electrolyzers and, consequently, the costs. The analysis of operational behavior is the first stage of designing an algorithm for PV power generation systems composed of water electrolyzers connected with batteries in parallel with a PV power generation system. This algorithm can identify the optimal operational points for the operation. This paper analyzes the energy demand under real operating conditions of an Anion Exchange Membrane (AEM) electrolyzer and the energy required for startup. To achieve this objective, the behavior under various production rates and electrolyte temperatures followng different durations of idle phases were examined. An analysis of the dynamic response was also carried out. Significant amounts of energy are required for startup, particularly during high production rates and cold starts. From an operating time of around 3 hours after starting, the startup energy no longer plays a major role. The fast dynamic response of AEM electrolyzers also makes it possible to follow the intermittent supply from PV systems. Based on this, the energy budget for hydrogen production can be determined over the operating time, considering the startup. These results can support the development of control algorithms for the optimal operation of these green hydrogen production systems.

Anais Congresso Brasileiro de Energia Solar
Universidade Federal de Santa Catarina (BR), Technische Hochschule Ingolstadt (DE), Universidade Federal do Amazonas (BR)
Deutscher Akademischer Austauschdienst, Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung, Universidade Federal de Santa Catarina, Deutsche Gesellschaft für Internationale Zusammenarbeit, FP7 International Cooperation
Affordable and clean energy
Openalex Percentile: Top 86%
Hybrid Renewable Energy Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.