Optimizing Electrolysis & PtX Plants

The interaction of renewable energies, battery storage, electrolysis, and hydrogen storage is crucial for the cost-efficient provision of hydrogen and its derivatives. Depending on the hydrogen demand profile, available renewable energies, and the operational dynamics of electrolysis, as well as other process steps (e.g., PtX plants), different storage technologies are required and sensible. An overdimensioning of renewable energies compared to electrolysis and subsequent processes may also be necessary.

Our optimization model, implemented in AIMMS, enables the definition of necessary technologies and their relevance in the overall concept, as well as the determination of key performance parameters (power, storage capacity) already in the early project conception phase.

The optimization considers both capital and operational expenditures (CAPEX, OPEX) as well as technical constraints (e.g., minimum part-load, efficiency). Additional aspects such as cost curves (e.g., for grid electricity), emission budgets, available renewable energy potentials, or grid connection capacity can also be included in the optimization.

Methodological Features:

• Linear Optimization: By utilizing linear optimization techniques, our model ensures precise and efficient solutions.
• Hourly Calculations: The model performs calculations on an hourly basis to enable detailed analyses, including operational dynamics.
• Wide Range of Technology Options: A variety of available technology options ensure that all relevant components and systems can be considered.
• High Adaptability: Our model is highly adaptable and flexible, allowing it to be tailored to specific needs and conditions.

Versatile technical and economic constraints can be implemented:

• Minimum Part-Load: Accounts for the minimum required load for efficient operation of a plant.
• Maximum Capacities: Sets upper limits for maximum power and storage capacity.
• Emission Limits: Integrates constraints to minimize emissions.
• Cost and Price Curves: Models detailed cost and price curves to maximize economic efficiency.

With this powerful and flexible optimization model, we offer a comprehensive solution for minimizing costs while maximizing the efficiency and sustainability of your renewable energy projects, already in the project pre-feasibility stage.