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Calculation tool - production costs for hydrogen with electrolysis


  1. Download the tool from the download link at the end of the description.

  2. In the "Input field" tab, select the required information from the drop-down menu for individual cells or enter your own values in the free cells.

  3. Click on the "Results" tab to get the calculated gas production costs for your case. You can switch between EUR, CHF and USD. In addition, other input fields, such as the operating costs and the efficiency of the electrolysis, can be freely selected.

  4. Details on the individual positions and further information can be obtained from Grinix in a comprehensive study on your project idea. We look forward to your order.

Explanations of the tool:

Scenario: You can choose between three different CAPEX scenarios, neutral, optimistic (CAPEX decreases) and pessimistic (CAPEX increases). What influence these have becomes clear in the respective CAPEX diagrams.

Type of electrolysis: You can choose between alkali electrolysis (AEL), proton exchange membrane electrolysis (PEM) and solid oxide electrolysis (SOEC). The different electrolysers have different investment costs. These differences become clear in the CAPEX diagrams in the "Results" tab.

Power: The connected load of the electrolysis significantly influences the CAPEX. The greater the performance, the lower the specific CAPEX.

Operating hours: here equivalent to full load hours. Partial load or hot standby are not evaluated.

Electricity costs: Usually have the greatest influence on the costs of hydrogen production.

Depreciation and interest: Over how many years is the asset depreciated using the straight-line method and what interest is charged.

Extra income: For example, through network services, the sale of heat or oxygen (only lump sums possible).

Interpretation: A distinction is made between “equipment costs”, “total costs: high”, and “total costs: low”. The equipment costs only relate to the electrolysis, but the total costs are significantly higher and depend on many different factors (electricity connection costs, transport costs, engineering, electricity and gas lines to other trades, etc.). A surcharge is therefore charged for both “total costs” interpretations. With the low total costs, the investment costs increase by 70% to the equipment costs and with the high total costs by 130%.

Calculation and analysis of efficiencies and annual performances of Power-to-Gas systems
Calculation and analysis of efficiencies and annual performances of power-to-gas systems


  • Comprehensive, universal and unambiguous approach to evaluate the efficiency.

  • The approach allows any plant configuration.

  • The unambiguous assignment of the efficiency to a system boundary makes comparability easier.

  • The plant can be characterized with an annual performance over one year and not with one operating point.

Production costs for synthetic methane in 2030 and 2050 of an optimized Power-to-Gas plant with intermediate hydrogen storage
Production costs for synthetic methane in 2030 and 2050 of an optimized power-to-gas plant with intermediate hydrogen storage


  • Expected development of CAPEX and OPEX of Power-to-Gas technology.

  • Different electricity purchase and gas selling strategies for plant operation.

  • Optimization of plant operation and dimension depending on the electricity supply.

  • Production cost for synthetic natural gas (methane) in 2030 and 2050.

  • Proof of cost-efficient, long-term and large-scale storage of renewable energies.

Cost benefits of optimizing hydrogen storage and methanation capacities for Power-to-Gas plants in dynamic operation
Cost benefits of optimizing hydrogen storage and methanation capacities for power-to-gas plants in dynamic operation


  • Optimization tool is developed for dimensioning Power-to-Gas components.

  • Detailed power-to-gas cost analyzes are made for different operational environments.

  • 6–17% reduction in gas production costs was achieved via component dimensioning.

  • Sensitivity analyzes show impacts of key parameters on plant operation.

  • Optimal configurations are highly dependent on the electricity source being used.

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