Technology forecasting of new clean energy: The example of hydrogen energy and fuel cell
Due to energy shortage, global warming, and climate change, the study focuses on technology forecasting for hydrogen energy and fuel cell technologies. It integrates bibliometric and patent analysis to predict S-curves for various aspects of hydrogen energy technologies.
(Generated with the help of GPT-4)
| Quick Facts | |
|---|---|
| Report location: | source |
| Language: | English |
| Publisher: |
African Journal Of Business Management Vol. 4(7) |
| Authors: | Chia-yon Chen, Shun-chung Lee., Yu-heng Chen |
| Geographic focus: | Taiwan., Global |
Methods
The study uses a growth curve model to analyze the technological performance of hydrogen energy technologies, including generation, storage, PEMFC, SOFC, and DMFC/DAFC. It combines expert surveys, Co-word analysis, and USPTO database data to forecast technology trends.
(Generated with the help of GPT-4)
Key Insights
The research predicts the technological S-curves for hydrogen energy and fuel cell technologies by using growth curve models. It aims to understand the development stages of hydrogen energy technologies and provides insights for future trends in the field.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: English publication language | Global geographic scope | Taiwan geographic scope | bibliometric analysis | fuel cell | hydrogen energy | patent analysis. | s-curves | technology forecasting