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.
Steps to reproduce
Food waste was collected from a residential area for 7-days. Based on its characterization, simulated food waste was prepared. Simulated food waste was dried (moisture content~7 wt.%), shredded (size~ 5 mm) and subjected to microwave pyrolysis/co-pyrolysis. Under optimized conditions, reduction in weight of feedstock with temperature and heating rate were analyzed. After the pyrolysis/co-pyrolysis, generated bio-oil was collected where the effect of low-density polyethylene was visually evidenced. Effect of low-density polyethylene and microwave susceptor addition on bio-oil yield and total acid number was statistically analyzed by single-factor ANOVA.