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从印苦楝籽油中异相催化生产生物柴油:不确定性量化的预测建模、实验优化和技术经济分析。

Heterogeneously catalyzed biodiesel production from Azadiricha Indica oil: Predictive modelling with uncertainty quantification, experimental optimization and techno-economic analysis.

机构信息

Chemical Engineering Department, Michael Okpara University of Agriculture, Umudike, Nigeria.

Mechanical Engineering Department, Ladoke Akintola University of Technology, Ogbomoso, Nigeria.

出版信息

Bioresour Technol. 2021 Jul;332:125141. doi: 10.1016/j.biortech.2021.125141. Epub 2021 Apr 8.

Abstract

This study presents predictive modelling with uncertainty analysis, optimization and techno-economic feasibility of Bio-catalyzed Biodiesel Production from Azidirica Indica Oil (BCBPAIO). Central Composite Design (CCD) predictive model and optimum conditions for BCBPAIO were developed in Design Expert software. The model uncertainty analysis was performed using Monte Carlo simulation. The BCBPAIO simulation and economic analysis were conducted in ASPEN Batch Process Developer V10. The correlation coefficient (R) and adjusted R value of the CCD model were 0.9922 and 0.9780 respectively. CCD model certainty gave 73.51% with 100,000 trials; the oil transesterification optimum conditions gave 87.04% conversion with 3.62 wt% of catalysts; and methanol to oil molar ratio of 8:1 at 59 °C for 4 h. The annual production cost, total capital investment, payback time and internal rate of returns are $ 3537105, $ 5243784, 2.67 and 43% respectively. This study shows that the production is profitably feasible.

摘要

本研究提出了一种具有不确定性分析、优化和技术经济可行性的预测模型,用于从辣木叶油中生物催化生产生物柴油(BCBPAIO)。在 Design Expert 软件中开发了中心复合设计(CCD)预测模型和 BCBPAIO 的最佳条件。使用蒙特卡罗模拟进行了模型不确定性分析。在 ASPEN Batch Process Developer V10 中进行了 BCBPAIO 的模拟和经济分析。CCD 模型的相关系数(R)和调整 R 值分别为 0.9922 和 0.9780。CCD 模型的确定性在 100,000 次试验中给出了 73.51%的置信度;油酯交换的最佳条件在 3.62 wt%的催化剂下,转化率为 87.04%;甲醇与油的摩尔比为 8:1,在 59°C 下反应 4 小时。年生产成本、总投资资本、投资回报期和内部收益率分别为 3537105 美元、5243784 美元、2.67 和 43%。本研究表明,该生产是有利可图的。

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