Hydrogen: Key Concepts and Use in Green Technologies

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Hydrogen: Key Concepts and Use in Green Technologies

Coursera · Beginner ·📄 Research Papers Explained ·1mo ago
Are you interested in hydrogen? Perhaps considering a carrier within hydrogen? Then you may need to learn or brush up key concepts, potentials and challenges regarding hydrogen. This course was made for you. The course is targeted people with a technical background and interest. You may be an undergraduate student, a graduate student, or an experienced employee in related industries. In this course researchers from the Technical University of Denmark present you with fundamentals, research based knowledge, and applications of hydrogen. You are introduced to the key concepts related to green hydrogen: electrolysis, fuel cells, electrochemistry and modelling. You will learn about the development of green hydrogen systems through use cases and examples, and by reading central reports monitoring the development of the green hydrogen in EU and globally. Finally, you get a rare look into the laboratories of our department where technologies for the green transition are researched and developed. The course is organized using a variety of tools such as videos, lectures, self-study, exercises and quizzes.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The ABCs of reading medical research and review papers these days
Learn to critically evaluate medical research papers by accepting nothing at face value, believing no one blindly, and checking everything
Medium · LLM
#1 DevLog Meta-research: I Got Tired of Tab Chaos While Reading Research Papers.
Learn to manage research paper tabs efficiently and apply meta-research techniques to improve productivity
Dev.to AI
How to Set Up a Karpathy-Style Wiki for Your Research Field
Learn to set up a Karpathy-style wiki for your research field to organize and share knowledge effectively
Medium · AI
The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap
Scientific knowledge may be stuck in a local minimum, hindering optimal progress, and understanding this concept is crucial for advancing research
ArXiv cs.AI
Up next
Microsoft Research Forum | Season 2, Episode 4
Microsoft Research
Watch →