Abstract

Conventional fuels are the transportation sector’s major occupants since they provide more power and efficiency with harmful environmental pollution. Researchers have focused on alternative and suitable solutions over a decade, considering the depletion of conventional fuels and environmental pollution. The present work is trying to explore an alternative solution resulting from Calophyllum inophyllum seed oil. This oil is extracted mechanically from seeds and the acid value is found to be very high. Acid esterification of oil is done with diluted H₂SO₄ to reduce the acid oil value of oil to make the oil suitable for the transesterification process. Here, a less expensive and abundantly available CaO catalyst is synthesized from wastages of gas industries. Further, the independent factors of transesterification, such as the molar ratio of methanol and oil, type and concentration of the process catalyst, process temperature, stirring rate and process time need to be optimized to get maximum biodiesel yield through the process. The process is optimized by Response Surface Methodology (RSM) through Box Behnken Design with minimum experimental runs. The optimization results show that optimum values are 9 : 1, 50°C and 3 wt % of molar ratio of methanol and oil, process temperature and concentration of catalyst, respectively. During this process, the Analysis of Variance ANOVA table was also employed to identify the significance and fitness of the model.

中文翻译：

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红叶藻甲酯的统计分析优化研究

摘要

传统燃料是交通运输领域的主要燃料，因为它们提供了更多的动力和效率，但同时也带来了有害的环境污染。考虑到传统燃料的枯竭和环境污染，研究人员十多年来一直专注于替代和合适的解决方案。目前的工作正在尝试探索由红叶藻种子油产生的替代解决方案。这种油是从种子中机械提取的，酸值非常高。用稀释的H ₂ SO ₄对油进行酸酯化，降低油的酸油值，使油适合酯交换过程。在这里，一种更便宜且来源丰富的 CaO 催化剂是从天然气工业的废料中合成的。此外，需要优化酯交换反应的独立因素，例如甲醇和油的摩尔比、工艺催化剂的类型和浓度、工艺温度、搅拌速率和工艺时间，以获得最大的生物柴油产量。该过程通过 Box Behnken Design 的响应面方法 (RSM) 进行了优化，实验次数最少。优化结果表明,最佳工艺参数分别为甲醇与油摩尔比9:1、50℃、3wt%、工艺温度和催化剂浓度。在此过程中，还使用方差分析表来确定模型的显着性和适用性。