Data Inputs

Technical Performance

1.23–6.00 [Volts]
0–1000 [µV/hour]
1–100 [%]
50–2000 [mA/cm²]
1–100 [%]
5–100 [%]
0.5–10 [years]
90–100 [%]
5000–35000 [$/m²]
CAPEX Components
0.5–3.0 mg/cm²
50000–400000 $/kg
0.5–3.0 mg/cm²
500–5000 $/kg
200–2000 $/m²
1–30 [% Initial CAPEX Cost]

Scale and Market

1000–200000 [kg/hr]
-100–1000 [$/tonne]
5–150 [$/MWh]
1.00–7.00 [$/kg]
0–0.1 [$/kg]
1–40 [$/MMBTU]

Economic Calculation

0–25 [%]
0–100 [%]
0–100 [%]
0–20 [%]
5–30 [years]
0–45 [%]
0–25 [%]

NLR's interactive Low-Temperature Electrolysis CO₂ Conversion Tool provides high-level techno-economic analysis capabilities for carbon dioxide (CO₂) electrochemical conversion to chemical intermediates and fuels.

Users can conduct customized analyses to assess the impacts of more than 20 unique parameters—spanning technical performance, scale and market cost inputs, and financial assumptions—on the selling price of carbon monoxide, methanol, or Fischer-Tropsch liquids.

Start a custom analysis below by entering data inputs. Or go to the user guide for more information on how to use this tool.

Selling Price ($2024) of:

Including:

CO 2 Source Net CO 2 Flowrate Low TempElectrolysis Two-PhaseSeparation Amine CO 2 Capture Pressure-SwingAdsorption Methanol Conversionand Separation FT-Liquid Conversionand Separation 112,667 kg/hr 78,867 kg/hr CO 2 21,512 kg/hr CO 13,836 kg/hr H 2 O 31.5 kg/hr H 2 78,867 kg/hr CO 2 21,512 kg/hr CO 31.5 kg/hr H 2 13,836 kg/hr Recycled H 2 O 14,118 kg/hr H 2 O 78,867 kg/hr CO 2 21,512 kg/hr CO H 2 31.5 kg/hr 22,531 kg/hr MeOH Supplemental H 2 3,099 kg/hr C 1-2 gas CHP Electricity 12,045 kW Gasoline 3,355 kg/hr Jet Fuel 3,053 kg/hr Diesel 1,397 kg/hr Total Hydrocarbons H 2 Treating 3,368 kg/hr 282 kg/hr Make Up DI H 2 O 33,800 kg/hr Fresh CO 2 Added 12,539 kg/hr O 2

Cost breakdown data reflect CO contribution and minimum selling price calculation methodology only. Values shown in terms of $2024.

CO₂ Feedstock
Purchased Electricity
Variable O&M
Fixed O&M
Capital

Data reflect CO contribution only. Values shown in terms of $2024.

Operating Expenses (OPEX)
Variable Operating Expenses (per year)
Electrolysis Electricity 
$?
Stack Replacement Cost
$?
CO₂ Feedstock Cost
$?
DI Water Makeup Cost
$?
CO₂ Recycle Electric Load
$?
CO₂ Recycle Consumables
$?
CO₂ Recycle Waste Disposal
$?
CO₂ Recycle Steam Demand
$?
BOP Compression Electricity
$?
BOP Pump Electricity
$?
Cooling Water Utils
$?
PSA Sorbent Fill
$?
PSA Electric Load
$?
Total Variable Operating Expenses
$?
Fixed Operating Expenses
Labor
$?
Maintenance
$?
Property Taxes and Insurance
$?
Capital Expenses (CAPEX)
Equipment
Electrolyzer Cost
$?
Condenser
$?
Pressure Swing Adsorption Unit
$?
Recycle CO₂ Compressor
$?
Recycle H₂O Pump
$?
Amine CO₂ Capture and Recycle Unit
$?
Total Equipment Cost
$?
Total Installed Cost (TIC)
$?
Warehouse Cost
$?
Site Development
$?
Additional Piping
$?
Prorateable Expenses
$?
Field Expenses
$?
Home Office and Construction
$?
Project Contingency
$?
Other Costs (Startup, Permits, Etc.)
$?
Fixed Capital Investment (FCI)
$?
Land
$?
Working Capital
$?
Total Capital Investment
$?

Data reflect CO contribution only.

Process InputsFlowrateEmissions FactorImpact
Materialskg/hrkg CO₂e/kgkg CO₂e/hr
Carbon Dioxide
Deionized Water
Iridium Oxide (Anode Metal)
Silver (Cathode Metal)
Titanium (Interconnect)
Ion Exchange Membrane
Monoethanol Amine
EnergykWh
Electricity (Electrolysis)
Electricity (Amine Regen)
Electricity (Compression)
Electricity (PSA)
Steam (Electric Boiler)
SUM
Process Outputs
CO Product
H₂ Product
Emissions / Product
 Electricity Mix Assumptions 
%
%
%
%
%
%
%
%
%
:  kg CO₂e/kWh
%
TOTAL
Running simulation 0 of 300…
Chart Details
Current Density (mA/cm²)
Cell Voltage (volts)
 
                             
                             
                             
                             
                             
                             
                             
                             
                             
1000                              
                             
                             
                             
                             
                             

Chart Settings

Y Axis
X Axis

Chart Settings

100–10000

How to run a Monte Carlo analysis to calculate MSP distribution:

  1. Enter the number of iterations to run. (Default is 500; More is better.)
  2. Add or remove sensitivities. (At least one required.)
  3. Enter a min and max value for each sensitivity.
  4. Click the Run Simulations button.
Sensitivity
Min
Max
 

Developed by CO2RUe with funding from the U.S. Department of Energy.

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Last Updated Sept. 24, 2026