28/10/2025
🔋 Toward economically viable green hydrogen production
Hydrogen plays a vital role in the sustainable energy transition, yet its economic feasibility remains a major challenge.
In this study, Yajing Chen,Mohamed Benchat, and Christine Minke developed a Python-based life cycle costing (LCC) tool that integrates a bottom-up approach, net present value (NPV) analysis, and Monte Carlo simulations. The tool enables users to quantify uncertainty and explore a range of cost outcomes—offering more flexible and realistic decision support.
Applied to a 5 MW PEM water electrolysis plant in Germany, the model estimates total ownership costs of €52–82.5 million and hydrogen production costs of €5.5–11.4 €/kg H₂ (95% confidence range). Sensitivity results highlight that energy prices dominate LCC variance, followed by iridium, membranes, and power electronics.
These insights emphasize the importance of renewable energy integration and circular economy strategies in driving down hydrogen production costs.
🔗 Read the full article: https://rdcu.be/eM0ay
📰 EurekAlert! news release: https://www.eurekalert.org/news-releases/1101487
https://www.eurekalert.org/news-releases/1101487
A research team at Clausthal University of Technology has released the first Python-based life-cycle costing (LCC) tool that explicitly models the inherent uncertainty surrounding proton-exchange-membrane water electrolysis (PEMWE), a cornerstone technology for producing “green” hydrogen...