Sustainable production of raw materials from waste cooking oils†

Alberto Mannu, Pablo Almendras Flores, Francesco Briatico Vangosa, Maria E. Di Pietro and Andrea Mele
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Abstract

The current industrial process for recycling Waste Cooking Oils (WCOs) into vegetable lubricants relies on basic decantation and filtration methods, lacking the scientific foundation needed for technical optimization and sustainability. This research addresses these limitations by thoroughly evaluating the technical and environmental impacts of bentonite treatment and water washing techniques. Using a Design of Experiments (DoE) approach coupled with multivariate statistical analysis, key process parameters—temperature, bentonite content, pH, and oil-to-water ratio—were optimized to improve performance and sustainability. Results showed that bentonite had a negligible effect when water treatment was conducted at 75 °C and pH 6 or at 25 °C and pH 2. The efficiency of both recycling methods, as measured by nuclear magnetic resonance spectroscopy and rheological tests, was comparable. However, the green metrics (mass yield, mass productivity, E-factor, and process mass intensity), along with the EcoScale penalty ranking, indicated that water treatment at 75 °C and pH 6 offers the most viable solution. Linear regression of the data acquired through the multivariate analysis driven by the DoE approach provided a mathematical equation which relates the temperature, time, and the oil/water ratio to the equivalent of CO2 eventually produced. This tool provides recycling industries with a practical framework for optimizing process conditions, balancing technical efficiency with minimized environmental impact, a crucial factor for compliance with green certification programs. The results present a scalable, scientifically validated pathway for the WCO recycling industry to enhance both operational performance and sustainability.

Abstract Image

从废弃食用油中可持续生产原料†
目前将废食用油(WCOs)回收为植物润滑油的工业流程依赖于基本的滗析和过滤方法,缺乏技术优化和可持续性所需的科学基础。本研究通过全面评估膨润土处理和水洗技术的技术和环境影响来解决这些局限性。采用实验设计(DoE)方法结合多元统计分析,对关键工艺参数(温度、膨润土含量、pH值和油水比)进行了优化,以提高性能和可持续性。结果表明,在75℃、pH = 6或25℃、pH = 2条件下进行水处理,膨润土的影响可以忽略不计。两种回收方法的效率,通过核磁共振波谱和流变试验测量,是相当的。然而,绿色指标(质量产量、质量生产率、e因子和工艺质量强度)以及EcoScale惩罚等级表明,75°C和pH 6的水处理是最可行的解决方案。通过DoE方法驱动的多变量分析获得的数据进行线性回归,得出了一个数学方程,该方程将温度、时间、油水比与最终产生的CO2当量联系起来。该工具为回收行业提供了优化工艺条件的实用框架,平衡技术效率与最小化环境影响,这是遵守绿色认证计划的关键因素。研究结果为世界海关组织回收行业提供了一条可扩展的、经过科学验证的途径,以提高运营绩效和可持续性。
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