Optimisation of Energy Use in Bioethanol Production Using a Control Algorithm

In this work, the possibility of limiting energy consumption in the manufacturing process of bioethanol to obtain biofuel was analysed. For this purpose, a control algorithm has been optimised while retaining the good quality of the control signals. New in this study is the correlation of the control algorithm not only with the signal’s quality, but also with the energy consumption in such an energy-intensive process as rectification. The rectification process in a periodic production system has been researched. The process was modelled on a test station with the distillation mixture capacity of 25 dm3. For the optimization, the following control algorithms have been applied: relay, PID and PID after modification to I-PD. The simulation was carried out on a transfer function model of the plant that has been verified on a real object, a rectification column. The simulations of energy consumption and control signal’s quality have been carried out in the Matlab®-Simulink environment after implementing the model of the research subject and control algorithms. In the simulation process, an interference signal with an amplitude of 3% and frequency of 2 mHz was used. The executed analyses of the control signal quality and the influence of the control algorithm on the energy consumption has shown some essential mutual relationships. The lowest energy consumption in the rectification process can be achieved using the I-PD controller—however, the signal quality deteriorates. The energy savings are slightly lower while using the PID controller, but the control signal quality improves significantly. From a practical point of view, in the considered problem the best control solution is the classic PID controller—the obtained energy effect was only slightly lower while retaining the good quality of the control signals.

[1]  Thore Berntsson,et al.  Process integration study of a kraft pulp mill converted to an ethanol production plant – Part A: Potential for heat integration of thermal separation units , 2012 .

[2]  H. Marczak Znaczenie bioetanolu w wypełnianiu obowiązku stosowania paliw odnawialnych w transporcie , 2012 .

[3]  Colin Webb,et al.  Process Design and Optimization of Novel Wheat‐Based Continuous Bioethanol Production System , 2007, Biotechnology progress.

[4]  O. Verma,et al.  Energy optimization of Multiple Stage Evaporator system using Water Cycle Algorithm , 2020, Heliyon.

[5]  D. Fino,et al.  Thermodynamic optimisation of the biofuel production based on mutualism , 2020, Energy Reports.

[6]  Wojciech Gruk,et al.  Implementacja niekonwencjonalnych regulatorów PID w sterowniku programowalnym , 2017 .

[7]  Martin Junginger,et al.  Cost optimization of biofuel production – The impact of scale, integration, transport and supply chain configurations , 2017 .

[8]  Hwai Chyuan Ong,et al.  Production Process and Optimization of Solid Bioethanol from Empty Fruit Bunches of Palm Oil Using Response Surface Methodology , 2019, Processes.

[9]  Ljiljana Mojović,et al.  How to improve the economy of bioethanol production in Serbia , 2012 .

[10]  Nibedita Sarkar,et al.  Bioethanol production from agricultural wastes: An overview , 2012 .

[11]  Babu Joseph,et al.  Closed-loop dynamic real-time optimization (CL-DRTO) of a bioethanol distillation process using an advanced multilayer control architecture , 2020, Comput. Chem. Eng..

[12]  Cid Marcos Gonçalves Andrade,et al.  Optimization of Bioethanol In Silico Production Process in a Fed-Batch Bioreactor Using Non-Linear Model Predictive Control and Evolutionary Computation Techniques , 2017 .

[13]  R. Aiswarya,et al.  Trends in catalytic production of biodiesel from various feedstocks , 2016 .

[14]  P. Śmierciak,et al.  Comparison of Energy Consumption in the Classical (PID) and Fuzzy Control of Foundry Resistance Furnace , 2012 .

[15]  Sriharti,et al.  Bioethanol Production from Glucose by Thermophilic Microbes from Ciater Hot Springs , 2015 .

[16]  U. Kramer,et al.  Deposit Formation of Flex Fuel Engines Operated on Ethanol and Gasoline Blends , 2010 .

[17]  F. Darvishi,et al.  Optimization of an Industrial Medium from Molasses for Bioethanol Production Using the Taguchi Statistical Experimental-Design Method , 2019, Fermentation.

[18]  A. Wójcik,et al.  Modeling and Simulation of Biomass Drying Using Artificial Neural Networks , 2018 .

[19]  Wen Tong Chong,et al.  Second generation bioethanol production: A critical review , 2016 .

[20]  T. Bounahmidi,et al.  Energy efficiency improvement of a bioethanol distillery, by replacing a rectifying column with a pervaporation unit , 2018, Renewable Energy.

[21]  Günnur Koçar,et al.  Current and future aspects of bioethanol production and utilization in Turkey , 2018 .

[22]  Julio E. Normey-Rico,et al.  Modeling, Control and Optimization of Ethanol Fermentation Process , 2011 .

[23]  Hwai Chyuan Ong,et al.  Optimization of biodiesel production process for mixed Jatropha curcas–Ceiba pentandra biodiesel using response surface methodology , 2016 .

[24]  Günter Wozny,et al.  Plantwide Optimizing Control for the Bio-ethanol Process , 2009 .

[25]  A. Pugazhendhi,et al.  A review on prospective production of biofuel from microalgae , 2020, Biotechnology reports.

[26]  R. Grzywacz,et al.  Dynamic bifurcations in continuous process of bioethanol production under aerobic conditions using Saccharomyces cerevisiae , 2020 .

[27]  Souad Abderafi,et al.  Modeling and optimization of distillation to produce bioethanol , 2017 .

[28]  Sigurd Skogestad,et al.  Application of plantwide control to the HDA process. I-steady-state optimization and self-optimizing control , 2007 .

[29]  Smita S. Kumar,et al.  An overview on bioethanol production from lignocellulosic feedstocks. , 2020, Chemosphere.

[30]  A. Łacka,et al.  Bioethanol Production from Biomass of Selected Sorghum Varieties Cultivated as Main and Second Crop , 2020, Energies.