埃及用于废物变能源工艺的城市固体废物特征描述创新方法

Karim Emara , Ahmed Osama Daoud , Mariam William , Moataz A.M. Farag
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引用次数: 0

摘要

本研究通过引入一种创新的采样方法,加强了城市固体废物(MSW)的特征描述方法,这种方法优先考虑有机成分,而不是纸张和纸盒等传统成分,特别适合埃及等发展中国家。这种创新方法对 ASTM D5231 - 92 标准进行了调整,以捕捉吉萨省(本研究的开展地)的实际固体废物概况。该方法以有机废物为重点,确保为废物变能源 (WtE) 转换过程提供更相关、更准确的数据。这项研究记录了垃圾成分的显著季节性变化,冬季的有机物含量平均为 66%,而秋季为 59%。富含能量的部分也有类似的变化,冬季平均为 28%,而秋季为 30%。此外,冬季的热值明显较高,为 10.3 兆焦/千克,而秋季为 8.4 兆焦/千克。这些变化对于优化 WtE 项目的能量回收过程至关重要。本案例研究的结果为埃及有限但不断增长的废物管理知识做出了贡献,证明了根据当地条件调整标准表征方法的可行性和益处。从这项研究中获得的见解填补了该地区废物管理文献中的一个显著空白,加深了人们对季节性因素如何影响城市固体废物特性的科学理解,为改善全球类似环境下的废物管理实践提供了一个强有力的框架。
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An innovative approach to municipal solid waste characterization for waste-to-energy processes in Egypt

This study enhances municipal solid waste (MSW) characterization methodologies by introducing an innovative sampling approach that prioritizes organic content over traditional components like paper and cartons, particularly suited to developing countries like Egypt. This innovative method adapts the ASTM D5231 − 92 standard to capture the actual MSW profile in the Giza governorate, where this research was carried out. Focusing on organic waste, this approach ensures more relevant and accurate data for waste-to-energy (WtE) conversion processes. This research documents significant seasonal variability in waste composition, with organic content averaging 66 % in winter compared to 59 % in fall. The energy-rich fraction shows similar variability, with winter having an average of 28 % compared to fall's 30 %. Moreover, the calorific value is notably higher in winter at 10.3 MJ/kg, compared to 8.4 MJ/kg in fall. These variations are critical for optimizing energy recovery processes in WtE projects. The results from this case study contribute to the limited but growing body of knowledge on waste management in Egypt, demonstrating the feasibility and benefits of adapting standard characterization methods to local conditions. The insights gained from this research fill a notable gap in the regional waste management literature and enhance the scientific understanding of how seasonal factors affect MSW properties, providing a robust framework for improving waste management practices in similar settings globally.

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