A5003214377- Thermochemical Biomass Conversion Processes
- Energy and Environment Impacts
- Biofuel production and bioconversion
- Electrocatalysts for Energy Conversion
- Recycling and Waste Management Techniques
- Advanced battery technologies research
- Hygrothermal properties of building materials
- Adsorption and biosorption for pollutant removal
- biodegradable polymer synthesis and properties
- Building Energy and Comfort Optimization
- Urban Heat Island Mitigation
- Wastewater Treatment and Reuse
- Phosphorus and nutrient management
- CO2 Reduction Techniques and Catalysts
Argonne National Laboratory
2025
Iowa State University
2020-2022
Jadavpur University
2016
A unique electrocatalytic oxidative dehydrogenation of aldehydes and its facile kinetics on a Cu-based porous electrode enables an ultra-low voltage bipolar H 2 production system with industrial-relevant current densities.
Biowastes are produced daily. These wastes rich in organic components with high potential to produce valuable products such as BioH 2 and CO . This study explores converted into low-cost through integrated processes.
Carbon-negative energy removes carbon dioxide from the atmosphere while providing to society.
This study investigates the economic and environmental benefits of integrating hydroprocessing, fermentation, anaerobic digestion into a pyrolysis refinery. Two scenarios were developed for upgrading and/or utilizing primary products (bio-oil, gas, char). The first (hydroprocessing) scenario hydroprocesses whole bio-oil gasoline diesel. second (fractionation) fractionates sugars fermentation to cellulosic ethanol residual phenolic oil as product. Both use gaseous product process heat in...
Feedstock properties impact the economic feasibility and sustainability of biorefinery systems. Scientists have developed pyrolysis kinetics, process, assessment models that estimate costs greenhouse gas (GHG) emissions various biorefineries. Previous studies demonstrate feedstock a significant influence on product lifecycle emissions. However, variability remains challenge due to large number possible property combinations limited public availability composition data. Here, we use machine...