Raw dataset for optimization of bio-oil production from microwave co-pyrolysis of food waste and low-density polyethylene

The dataset represents the images of collected food waste for 7-days from a residential area. The collected food waste was characterized, and based on its properties, simulated food waste was prepared to optimize the operating conditions to generate a high yield of bio-oil from microwave co-pyrolysis of food waste and low-density polyethylene. Thermogravimetric analysis of feedstock under optimized conditions was done. Effect of low-density polyethylene and microwave susceptor addition on temperature of feedstock, bio-oil yield and total acid number (TAN) were evaluated with heating rate and single-factor ANOVA, respectively.

本数据集收录了来自住宅区连续7天的食物废弃物图像。对收集到的食物废弃物进行了特征描述，并根据其特性，制备了模拟食物废弃物以优化操作条件，从而从食物废弃物与低密度聚乙烯的微波共热解中产生高生物油产率。在优化条件下对原料进行了热重分析。通过加热速率和单因素方差分析（ANOVA），评估了低密度聚乙烯和微波吸波剂添加对原料温度、生物油产率和总酸值（TAN）的影响。