摘要
本文评估了填埋场开挖筛分再利用的碳排放和碳减排效益,该研究有利于健全我国在城市固废处理领域的碳排放计算体系.首先从流程角度分析,分类整理了每个过程的排放因子和减排因子等参数.其次,选取我国东部某大型城市固废填埋场为研究对象,运用蒙特卡罗模拟进行了分析.结果显示,该填埋场的开挖减排量超过排放量,陈腐垃圾净排放平均值为-235.22kgCO_(2)-eq/t.此外,分析了排放与减排的主要来源,发现轻质物焚烧是排放的主要贡献者,而焚烧产生的电能和热力的回收是减排的主要来源.最后通过参数的敏感性分析,发现能量转化效率和净减排因子对减排结果有显著影响.
This paper evaluated the carbon emissions and carbon reduction benefits of excavating,screening,and reusing landfill material,contributing to the enhancement of China’s carbon emission calculation system in the municipal solid waste treatment sector.Initially,from a process perspective,the emission and reduction factors of each process were classified and organized.Subsequently,a large municipal solid waste landfill in Eastern China was selected as the research subject,and a Monte Carlo simulation was conducted for analysis.The results indicated that the carbon reduction from landfill mining exceeded its emissions,with an average net emission of-235.22kg CO_(2)-eq/t stale waste.Moreover,the main sources of emissions and reductions were analyzed.It was found that the incineration of light materials was a significant contributor to emissions,while the recovery of electricity and thermal energy from incineration was the primary source of emission reduction.Lastly,through the sensitivity analysis of parameters,it was discovered that energy conversion efficiency and the net reduction factor significantly influenced the reduction results.
作者
韦宇凡
徐文杰
彭毅
陈云敏
柯瀚
詹良通
余霖锋
WEI Yu-fang;XU Wen-jie;PENG Yi;CHEN Yun-min;KE Han;ZHAN Liang-tong;YU Lin-feng(MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering,Center for Hypergravity Experimental and Interdisciplinary Research,Zhejiang University,Hangzhou 310058,China;Department of Emergency Management,School of Government,Nanjing University,Nanjing 210023,China)
出处
《中国环境科学》
EI
CAS
CSCD
北大核心
2024年第9期5044-5052,共9页
China Environmental Science
基金
浙江省‘尖兵’‘领雁’研发攻关计划资助项目(2022C03095)
国家自然科学基金资助项目(51988101,42277128)。
关键词
陈腐垃圾
填埋场开挖
碳排放
碳减排
资源回收
decomposed waste
landfill mining
carbon emission
carbon reduction
resource recovery
