Among the current trends in waste management and circular economy is the involvement of new fractions of waste for sorting and collection. One of them is fats and cooking oils, especially those coming from households. Now, the nascent fat waste recycling becomes promoted as regulations and waste recovery targets have been set in the European Union. The traditional manner of discarding household fat waste usually causes sewage problems. However, utilisation of this waste brings the potential for contributing to the energy supply and material recovery. This research presents a mathematical model for the optimal location of fat waste bins and containers in the given municipalities. The container network should comprise as few containers as possible, while the walking distance for the citizens towards the container is as short as possible. The objective of the proposed optimisation model is to minimise the total number of collection points (infrastructure cost). The collection points represent the citizens’ addresses in a municipality. The average walking distance towards a container is a novel feature in the model, which is pertinent to waste fractions with low production per person. Cluster analysis describes the variability between municipalities, and further, it is possible to use regression analysis to model the number of containers for any municipality or region. The proposed general decision support tool estimates the total cost and number of bins needed for any region or a country. The region from the Czech Republic, which was used as a study area, revealed the requirement for 609 containers, with only EUR 30,000 of investment cost. There are around 950 inhabitants assigned to a single collection point on average.

Graphic abstract

中文翻译：

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食用油和脂肪废物收集基础设施规划：区域一级的大纲

在废物管理和循环经济的当前趋势中，有一部分是新的废物用于分类和收集。其中之一是脂肪和食用油，尤其是来自家庭的脂肪和食用油。现在，随着欧盟制定法规和废物回收目标，促进了新生脂肪废物的回收利用。丢弃家庭脂肪废物的传统方式通常会导致污水问题。但是，利用这些废物带来了促进能源供应和材料回收的潜力。这项研究提出了一个数学模型，用于在给定的城市中最佳放置脂肪废物箱和容器。集装箱网络应包括尽可能少的集装箱，而市民到集装箱的步行距离应尽可能短。所提出的优化模型的目的是最大程度地减少收集点的总数（基础设施成本）。收集点代表市政当局中的公民住址。到集装箱的平均步行距离是该模型中的一个新功能，与人均生产量低的废物部分有关。聚类分析描述了市政当局之间的差异，此外，可以使用回归分析来为任何市政当局或地区建模集装箱数量。拟议的一般决策支持工具可估算任何区域或国家/地区所需的总成本和垃圾箱数量。用作研究区域的捷克共和国地区表明需要609个集装箱，而投资成本仅为30,000欧元。

图形摘要