DEPARTMENT OF CHEMICAL ENGINEERING Sustainable Biofuel And Bioenergy Production From Biomass Waste Proposal Meeting on 24-04-2024 Presented by Mr . Potnuri Ramesh Chemical Engineering Chief Guest Prof . Sunil Kumar Maity Professor Chemical Engg. Dept. IITH
Biomass Biomass is plant or animal material used as fuel to produce electricity or heat Sources 2
3 Triglycerides feedstock (TGF) vegetable oils animal fats waste cooking oils microalgae oils lignocellulosic feedstock sugar and starchy feedstock (SSF) wood , straw grasses sugar beet, sweet sorghum, sugar cane wheat , corn , barley, maize Chemistry of biomass Biodiesel Glycerol Fatty acids Green diesel Gasoline Synthesis gas Ethanol Butanol Acetone Aromatics Alkanes Hydrogen Liquid fuels Heat Biogas Bio oil Aromatics Alkanes Hydrogen Liquid fuels Conversion Conversion Conversion Fuel And chemicals Fuel And chemicals Fuel And chemicals
Biomass to sustainable future 5 Conversion of biomass to biofuels and life cycle assessment: a review Ahmed I. Osman
6 Brewers’ Spent Grain Sugarcane Bagasse bread waste Biochemical conversion Thermochemical conversion Sawdust Wood waste Almond shell waste Methods Feedstocks Process 2,3-Butanediol 1,3-Butadiene methyl ethyl ketone bioethanol and succinic acid Biochar Bio oil Synthesis gas Value added chemicals Enzymatic hydrolysis Fermentation Anaerobic digestion Torrefaction Pyrolysis Microwave Pyrolysis Products Analysis Process Design Techno-economic evaluation Environmental assessment Life cycle assessment Effect of operating conditions Bio oil Characterization Biochar Characterization Prediction of Product yields by Machine learning models S. Gadkari , V. Narisetty , S.K. Maity , H. Manyar , K. Mohanty , R.B. Jeyakumar , K.K. Pant, V. Kumar, Techno-Economic Analysis of 2,3-Butanediol Production from Sugarcane Bagasse, Industrial and Engineering Chemistry Research. 11 (2023) 8337–8349 R. Potnuri, D. V Suriapparao, C. Sankar, V. Sridevi, Effect of dry torrefaction pretreatment of the microwave-assisted catalytic pyrolysis of biomass using the machine learning approach, Renewable Energy. 197 (2022) 798–809 HDO HAA