Title:
Mathematical Approach to Compute the Molecular Composition of Bio-fuel Using Bulk Properties Available via Analytical Techniques
Author(s):
Chandra, H., Saxena, N., Bhujade, R.
Document(s):
Paper
Slide presentation
Abstract:
Hydrothermal liquefaction (HTL), a thermo-chemical conversion process, uses water as a reaction medium at elevated pressure and temperature, to convert biomass to renewable liquid bio-fuel and recovers fertilizer-rich water. HTL is feed flexible and different types of biomass, organic wastes including plastics can be processed. The yield and composition of biofuel produced depends on the feedstock and operating conditions. To assess the techno-economic feasibility of the process for feedstock, it is crucial to have information on molecular composition of feed and products. However, testing each of the feedstocks and product produced thereof, is practically difficult, expensive and time consuming. There are also limitations of existing analytical methods to identify and quantify all the molecules present in the bio-fuel. Therefore, there is a need to find alternate ways to quantify the molecular composition. This paper focuses on the approach for developing the model, by reconstructing the bio-oil molecules using mathematical techniques and experimental data. The validated model helps predict the molecular composition, using limited bulk properties data.
Keywords:
algae, biofuel, biomass, characterization, mathematical modelling
Topic:
Biomass Conversion Technologies for Energy Carriers, Chemicals and Materials
Subtopic:
Hydrothermal processing
Event:
27th European Biomass Conference and Exhibition
Session:
3DO.9.4
Pages:
1122 - 1126
ISBN:
978-88-89407-19-6
Paper DOI:
10.5071/27thEUBCE2019-3DO.9.4
Price:
FREE
