Optimized Scheduling for CO2 Electrolyzers Coupled with Solar Generation

475.0 MB of modeling data assesses the economic impact of realistic solar intermittency on CO2 electrolysis. The dataset, authored by Shashwati C. da Cunha and last updated in April 2026, examines optimal scheduling and profitability under various interconnection, pricing, and process assumptions. It highlights dependencies on electrolyzer ramping capability, system sizing, and grid emissions.

Use Cases

• Modeling techno-economic feasibility of CO2-to-CO reduction based on solar intermittency scenarios described.
• Optimizing electrolyzer operation schedules based on described ramping capabilities and grid pricing agreements.
• Assessing greenhouse gas emissions of grid-coupled electrochemical systems based on the described dependency.
• Sizing solar and storage systems for chemical production based on the range of interconnection configurations analyzed.

Strengths

• Dataset size is 475.0 MB, suggesting a substantial amount of modeling or simulation data.
• Focus on dynamic operation and realistic solar intermittency addresses a gap noted in continuous-operation assumptions.
• Examines a defined range of variables: interconnection configurations, pricing agreements, and process assumptions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Data is licensed CC-BY-NC-4.0, prohibiting commercial use without permission.

Provenance

Source

figshare, author Shashwati C. da Cunha

Collection Method

Likely contains results from techno-economic modeling and simulation.

Time Range

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Freshness

Last updated 2026-04-30 13:35:13; freshness should be verified.

Geography

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