Optimisation of biodiesel production from <i>Chlorella protothecoides</i> microalgal oil using combined ANN-GA software

IF 0.6 4区工程技术 Q4 ENERGY & FUELS

International Journal of Oil, Gas and Coal Technology Pub Date : 2023-01-01 DOI:10.1504/ijogct.2023.132500

Mukesh Kumar, M.P. Sharma

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引用次数: 1

Abstract

Chlorella protothecoides microalgae are chosen for the present study because of having faster growth rate, high oil content, and high biomass productivity. Response surface methodology (RSM), as well as combined artificial neural network (ANN) with genetic algorithm (GA), are employed for the modelling of the reaction parameters and biodiesel yields. The input parameters were reaction time (40-120 min), temperature (45-65°C), methanol to oil molar ratio (6-10:1) (vol/vol), catalyst concentration (0.4-1.5 w/v), and biodiesel yield. An ANN model is developed, trained, and tested using experimental data from the combined RSM-based Box-Behnken design (BBD) technique. The optimised conditions the combined ANN-GA technique predicted were reaction time 105.6 min, reaction temperature 65°C, methanol to oil molar ratio 7.41:1 (vol. /vol.), and catalyst concentration 1.024 (w/v). Based on the results, combined ANN-GA techniques are recommended to be a quick and reliable approach for predicting reaction parameters for biodiesel production. [Received: February 23, 2022; Accepted: March 14, 2023]

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原小球藻生产生物柴油的优化研究微藻油采用联合ANN-GA软件

本研究选择原coides小球藻作为研究对象，因为其具有生长速度快、含油量高、生物量生产力高等特点。采用响应面法(RSM)以及人工神经网络(ANN)和遗传算法(GA)相结合的方法对反应参数和生物柴油产率进行建模。输入参数为反应时间(40-120 min)、温度(45-65℃)、甲醇与油的摩尔比(6-10:1)(vol/vol)、催化剂浓度(0.4-1.5 w/v)和生物柴油收率。利用结合基于rsm的Box-Behnken设计(BBD)技术的实验数据，开发、训练和测试了一个人工神经网络模型。ANN-GA技术预测的最佳反应条件为反应时间105.6 min，反应温度65℃，甲醇油摩尔比7.41:1 (vol. /vol.)，催化剂浓度1.024 (w/v)。结果表明，ANN-GA联合技术是一种快速、可靠的生物柴油生产反应参数预测方法。[收稿日期:2022年2月23日;录用日期:2023年3月14日]

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来源期刊

International Journal of Oil, Gas and Coal Technology ENERGY & FUELS-ENGINEERING, CHEMICAL

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

2.9 months

期刊介绍： IJOGCT is a multidisciplinary refereed journal that is concerned with exploration, production, processing and refining, storage and transportation, economical, managerial, business, environmental, safety and security issues related to oil, natural gas, coal and petrochemicals as well as manufacturing and refining of biofuels. Topics covered include Exploration, geological studies, reserves estimation Production/recovery methods, drilling technology, subsea engineering Production rates, forecasting future demand Heavy oil, oil sand/shale recovery/processing, oil/gas field processing Petroleum refining, coal liquid/hydrogen production, petrochemical industry Ultra low sulphur fuels, LNG, CNG and LPG, natural gas processing Gasoline from natural gas/coal liquid, biorefining, biofuels Nano/biotechnology, computerisation/automation, modelling/simulation Refinery process optimisation, management of refining industry, major oil companies Fuel quality/specifications, storage, transportation Environmental issues, carbon management, sequestration, storage Oil spill occurrence, monitoring, clean up methods, contingency plans Fuel prices, future market fluctuations, forecasting, safety/security Business/international trade regulations, political/governmental/economic issues Biofuels vs fossil fuels; future technology, business.