CERIS, Department of Civil Engineering, Architecture and Environment, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001, Lisbon, Portugal.
EMAC, Cascais Ambiente, Cascais, Portugal.
Environ Sci Pollut Res Int. 2024 Mar;31(12):17732-17747. doi: 10.1007/s11356-023-29045-z. Epub 2023 Aug 2.
In the design waste collection systems, it is common practice to use a constant specific fuel consumption (e.g. litres per amount of waste collected or distance travelled). This is also the approach used in many cases for fleet management, namely, for decision-making on more fuel-efficient equipment acquisition. However, the specific fuel consumption is not constant and there are spatial and temporal variations. Accounting for this variability becomes relevant if a more refined cost or environmental optimization is intended. The present research effort evaluates the energy intensity of the waste collection service in the Cascais municipality, reporting the differences and the magnitude of the variability for the mixed waste collection service. Statistically significant differences are found between the circuits, the trucks, months of the year and days of the week. It is discussed that extrapolating average fuel consumption rates for decision-making in new waste collection systems may be prone to substantial error.
在设计废物收集系统时,通常使用恒定的比油耗(例如每收集的废物量或行驶的距离的升数)。在许多情况下,车队管理也采用这种方法,即为了做出更省油的设备购置决策。然而,比油耗并不恒定,存在时空变化。如果要进行更精细的成本或环境优化,那么考虑这种可变性就变得很重要。本研究评估了卡斯凯什市的废物收集服务的能源强度,报告了混合废物收集服务的差异和可变性的大小。在各条线路、卡车、月份和周几之间发现了统计学上的显著差异。讨论了在新的废物收集系统中进行决策时,推断平均油耗率可能容易出现较大误差。