Model for Energy Consumption and Costs of Bioethanol production from Wastepaper

Original scientific paper

Journal of Sustainable Development of Energy, Water and Environment Systems
Volume 10, Issue 4, 1100431
Vikas Sharma1 , Raisa Abbas1, José Ricardo Sodré2, Sami M M E Ayad3, Carlos Belchior3
1 Aston University, BIRMINGHAM, United Kingdom
2 Aston University, Birmingham, United Kingdom
3 Federal University of Rio de Janeiro, Rio de Janeiro, Brazil


This work investigates bioethanol production from wastepaper via acid and enzymatic hydrolysis with the aim to attain the highest possible yield, including an evaluation of energy consumption of the production processes and costs involved. A mathematical model was designed using MATLAB software, in which pre-calculated chronological stages have been specified with the parameters that significantly affect the bioethanol yield, including type and number of consumables, reaction temperature and residence time. The independent variables have been decided based on recommended values found in the literature and are provided as suggestions to the user, who is also given the choice to manually input the values. Mass and energy balance are carried out for each process stage of bioethanol production in order to calculate the energy consumption of the chemical reactions. The model also calculates the bioethanol yield per 100 g of lignocellulosic biomass and the related costs. A comparison between enzymatic and acid hydrolysis bioethanol is presented by a line chart on the software interface, helping the understanding of the effects of the independent variable parameters. As a result, the most optimal conditions to produce the highest yield of bioethanol and therefore increasing the efficiency of a process is obtained. The model is expected to aid in the reduction of laboratory-based experiments being conducted, saving time, human errors, costly microorganisms and other consumables.

Keywords: Acid hydrolysis, Bioethanol production, Enzymatic hydrolysis, Pulp and paper, Waste biomass

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