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New open-source tool quantifies uncertainty in green-hydrogen economics

10.10.25 | Higher Education Press

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Research Background
Traditional LCC studies deliver single-point cost figures that mask the volatility of emerging technologies. For PEMWE plants, two dominant sources of uncertainty exist:

Research Content
Using a bottom-up, net-present-value framework compliant with ISO 15686-5, the authors integrated Monte-Carlo simulation (via the Monaco package) and the Prophet forecasting algorithm to:

All input data—material prices, BoP costs, recycling rates, labour rates, energy tariffs—were sourced from 2018-2023 market quotations and official statistics.

Key Results
For a 5 MW PEMWE plant in Germany producing app. 17.8 kt H₂ over 20 years:

–Iridium price variability alone contributes ~35 % of CAPEX variance; Nafion membranes add ~25 %; power electronics ≈20 %.

Research Significance
The open-source tool (available at github.com/LCC-Tool/LCC_Tool_5MW-PEMWE) allows investors, policymakers and plant operators to:

By embedding Monte-Carlo simulation and transparent data pipelines, researchers give decision-makers the confidence interval they need for bankable hydrogen projects.

Frontiers in Energy

10.1007/s11708-025-1033-1

Experimental study

Not applicable

Working with uncertainty in life cycle costing: New approach applied to the case study on proton exchange membrane water electrolysis

22-Aug-2025

Keywords

Article Information

Contact Information

Rong Xie
Higher Education Press
xierong@hep.com.cn

Source

How to Cite This Article

APA:
Higher Education Press. (2025, October 10). New open-source tool quantifies uncertainty in green-hydrogen economics. Brightsurf News. https://www.brightsurf.com/news/LN2WJ6Y1/new-open-source-tool-quantifies-uncertainty-in-green-hydrogen-economics.html
MLA:
"New open-source tool quantifies uncertainty in green-hydrogen economics." Brightsurf News, Oct. 10 2025, https://www.brightsurf.com/news/LN2WJ6Y1/new-open-source-tool-quantifies-uncertainty-in-green-hydrogen-economics.html.