The University of Tokyo · Engineering
Professor Du Wen's research lab specializes in sustainable energy systems and environmental technology, with a strong focus on hydrogen energy pathways, including ammonia-based energy storage and conversion, power-to-x technologies, and fuel cell systems. The lab conducts integrated techno-economic and life cycle assessments to evaluate the environmental and economic performance of renewable energy solutions, particularly in the context of carbon neutrality and circular economy. Research also extends to educational technology, exploring AI adoption in STEM education and student engagement in mathematics learning through behavioral science models.
Figures are computed from collected data and may differ slightly.
Ammonia serves as a promising hydrogen carrier and energy storage medium due to its high hydrogen content, ease of transport, and well-established production infrastructure. This study presents a comprehensive techno-economic analysis of ammonia-to‑hydrogen (A2H) and ammonia-to-power (A2P) pathways, comparing various process configurations for hydrogen production and power generation. High-temperature ammonia crackers (600 °C) achieve a maximum energy efficiency of 87.55 % and a maximum exergy e
Renewable synthesis fuels play a crucial role in enabling a circular economy. This study assesses the environmental impacts of power-to-hydrogen and biomass-to-hydrogen routes, considering four hydrogen storage options: hydrogen, ammonia, methane, and methanol with a function unit of 1 liter of a stored hydrogen-derived product. The assessment encompasses metrics such as carbon footprint, use of fossil and nuclear energy, ecosystem quality, human health impact, and water scarcity. The results re
Hydrogen, known for its high energy content and clean combustion, is promising in the energy transition. This study explores the environmental impact of a solid oxide fuel cell (SOFC) system. 1 kg of hydrogen production at 1 bar serves as the functional unit. The SOFC system generates hydrogen, electricity, and heat across five modes. Results indicate that the SOFC system achieves a global warming potential of 0.17–9.50 kg CO 2 -eq/FU using the system expansion method. Regional analysis shows th
This study refines the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) to explore the factors influencing the adoption and utilization of artificial intelligence (AI) by Chinese mathematics teachers in STEM education, aiming to promote broader integration of AI within this domain. Utilising structural equation modelling (SEM) on survey data collected from 503 in-service mathematics teachers across China, the findings indicate that performance expectancy (PE), hedonic motivat
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