钢结构装配式产品加工工序碳排放研究
Research on Carbon Emissions of Production Processes in the Production Stage of Steel Structure Prefabricated Products
张相勇 1陈华周 1李任戈 1李毅 2陈振明 2李静姝 1曹洪涛 2林波荣 3周浩 3黄祖坚4
作者信息
- 1. 中建科工集团有限公司,北京 100089
- 2. 中建钢构工程有限公司,广东深圳 518118
- 3. 清华大学建筑学院,北京 100084
- 4. 清华大学建筑学院,北京 100084;华南理工大学亚热带建筑与城市科学全国重点实验室,广州 510640
- 折叠
摘要
钢结构装配式建筑须在工厂预先制作构件,该阶段介于上游粗钢生产和下游建筑现场施工之间,目前缺乏相关碳排放基础性研究.现有研究多基于投入-产出法得出吨钢平均碳排放因子参数,忽视了不同产品之间的差异,且无法呈现碳排放来源.本研究提出基于工序的钢结构装配式产品加工碳排放精细化计测方法,针对钢构件制作主要工序,在天津一家年产16万t钢构件加工工厂,选择代表性机器进行钢结构装配式产品制作阶段加工工序碳排放测试,获得各工序单位加工工作所产生的碳排放参数,并以线性函数拟合功能单元(FU)加工工作量和碳排放关系.分析表明:对于下料、组立、装配、矫正工序,当分别采用切面面积、构件长度、焊缝质量、构件长度作为FU时,所得拟合函数决定系数R2均大于0.9.
Abstract
The building components of steel structures are prefabricated in factories.This stage is between the upstream crude steel production and downstream building on-site construction,and it lacks basic re-search on carbon emissions.Existing studies are mostly based on the input-output method to derive an aver-age carbon emission factor for per ton of steel,which ignores the differences between different steel products and cannot reveal the sources of carbon emissions.This study was carried out at a steel fabrication plant in Tianjin with an annual capacity of 160 000 tons.Representative machines were selected for the main processes of steel components fabrication to test the amount of carbon emissions generated by each process.A linear function was used to fit the relation between the functional unit(FU)processing work and the cor-responding carbon emissions.It showed that for the cutting,pre-assembly,assembly,and straightening processes,the coefficients of determination(R2)of the obtained fitting functions were all greater than 0.9 when the area of cut surface,length of component,quality of weld seam,and length of component were used as FU,respectively.
关键词
钢结构建筑/钢构件/预制/功能单元/耗电/焊丝/二氧化碳/碳排放因子Key words
steel structure building/steel component/prefabricated/functional unit/electricity consump-tion/welding wire/carbon dioxide/carbon emission factor引用本文复制引用
基金项目
中建科工集团有限公司科技研发项目(ZJKG-2022-KT-21)
出版年
2024
NETL
NSTL
万方数据