A5062282982- Process Optimization and Integration
- Advanced Control Systems Optimization
- Carbon Dioxide Capture Technologies
- Phase Equilibria and Thermodynamics
- Catalysts for Methane Reforming
- Thermochemical Biomass Conversion Processes
- Fault Detection and Control Systems
- Catalytic Processes in Materials Science
- Magnetic and transport properties of perovskites and related materials
- Electrocatalysts for Energy Conversion
- Chemical Looping and Thermochemical Processes
- Food Drying and Modeling
- Advanced Thermodynamics and Statistical Mechanics
- Refrigeration and Air Conditioning Technologies
- Fuel Cells and Related Materials
- Granular flow and fluidized beds
- Spacecraft and Cryogenic Technologies
- Heat Transfer and Optimization
- Advanced Control Systems Design
- Biodiesel Production and Applications
- Membrane Separation Technologies
- Advanced Thermoelectric Materials and Devices
- Algal biology and biofuel production
- Advanced Photocatalysis Techniques
- Freezing and Crystallization Processes
The University of Tokyo
2014-2024
Daikin (Japan)
2023-2024
Tokyo University of the Arts
2019
Tokyo University of Science
2011
National University of Singapore
2006-2010
An innovative self-heat recuperation technology has been developed for heating and cooling thermal processes, in which not only latent heat but also sensible are circulated a feed−effluent exchanger of the process by compressing effluent stream without any addition. Applying this to amount energy required was determined using commercial simulation tool, PROII. The proposed technology, an is recuperated reused feed gas and/or vapor recompression, found drastically reduce consumption.
Temperature information is important in everyday life. However, the local temperature at a certain point cannot be determined directly without using physical thermometer, which can often disturb activity that and consume additional energy. Moreover, it would costly to equip room with many thermometers simply measure temperature. To overcome this problem, study developed model for prediction of indoor under heating conditions based on heat transfer process mechanism soft-sensing method....