New open-source tool quantifies uncertainty in green-hydrogen economics
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2025 00:11 ET (29-Oct-2025 04:11 GMT/UTC)
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. The work is published today in Frontiers in Energy under the title “Working with uncertainty in life-cycle costing: New approach applied to the case study on proton-exchange-membrane water electrolysis” (Chen et al., 2025).
Picture this: You’re on a Zoom call, Slack is buzzing, three spreadsheets are open and your inbox pings. In that moment of divided attention, you miss the tiny red flag in an email. That’s how phishing sneaks through, and with 3.4 billion malicious emails sent daily, the stakes couldn’t be higher.
In a comprehensive review that spans two decades, researchers are examining the profound impact of technological innovation on the journey towards carbon neutrality. The study, titled "Impact of Technological Innovation on Carbon Neutrality: Systematic and Bibliometric Review of Two Decades of Research," is led by Prof. Ephraim Bonah Agyekum from the Department of Nuclear and Renewable Energy at Ural Federal University Named After the First President of Russia Boris Yeltsin in Ekaterinburg, Russia. This review, conducted in collaboration with the Applied Science Research Center at Applied Science Private University in Amman, Jordan, and Tashkent State University of Economics in Tashkent City, Uzbekistan, offers a detailed analysis of how technological advancements have shaped the path to carbon neutrality.
New research led by Bayes Business School (formerly Cass) has revealed the introduction of the National Living Wage (NLW) in the UK in April 2016 significantly decreased labour mobility across firms by minimum wage workers. While this meant a pay boost for many low-paid workers, the rising wage floor could be affecting the fluidity of the job market if it is reducing workers’ incentives to search for new jobs and move between firms.
Professor Dai Chunyan from Chongqing Technology and Business University and Professor Michael Pollitt from the University of Cambridge have jointly published a study exploring the coordination mechanisms between China's national and local carbon markets in the context of global carbon pricing. They published their review in Energy and Climate Management on August 20, 2025.
Identifying and interpreting vacancies in patent maps is a promising approach to discover technological opportunities. However, it remains a challenging task. Recently, scientists from Seoul National University of Science and Technology have developed an innovative machine learning approach based on text-embedding inversion, which translates patent vacancies into human-readable formats, helping to uncover technological opportunities for corporate growth.