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作 者:许建梅 潘璐璐 伍冬平[2,4] 卞幸儿 胡亿丰 戴佳洋 王雨静 XU Jianmei;PAN Lulu;WU Dongping;BIAN Xing′er;HU Yifeng;DAI Jiayang;WANG Yujing(College of Textile and Clothing Engineering,Soochow University,Suzhou,Jiangsu 215021,China;Jiangsu Engineering Research Center of Textile Dyeing and Printing for Energy Conservation,Discharge Reduction and Cleaner Production,Soochow University,Suzhou,Jiangsu 215123,China;Technical Center of Hangzhou Customs District,Hangzhou,Zhejiang 310012,China;Zhejiang Silk Technology Co.,Ltd.,Hangzhou,Zhejiang 311305,China;Zhejiang Cathaya International Co.,Ltd.,Hangzhou,Zhejiang 310004,China)
机构地区:[1]苏州大学纺织与服装工程学院,江苏苏州215021 [2]苏州大学江苏省纺织印染节能减排与清洁生产工程中心,江苏苏州215123 [3]杭州海关技术中心,浙江杭州310012 [4]浙江丝绸科技有限公司,浙江杭州311305 [5]浙江凯喜雅国际股份有限公司,浙江杭州310004
出 处:《纺织学报》2023年第4期38-45,共8页Journal of Textile Research
基 金:中国纺织工业联合会科技指导性项目(2021015);江苏省纺织印染节能减排与清洁生产工程中心开放课题资助项目(Q811580722);中国工程院战略研究与咨询项目(2022-XY-19)。
摘 要:为响应国家实现双碳目标,对生丝检验阶段进行了初级活动数据采集,并采用生命周期评价(LCA)方法对传统检验和电子检测2种检验过程中的碳足迹进行核算。结果表明:生丝传统检验方法和电子检测方法的碳足迹分别为0.235 5及0.233 6 kgCO_(2)e/kg,温室气体(GHG)排放主要来自恒温恒湿间的用电;单个检验项目中切断检验的GHG排放最高,外观检验次之,二者的GHG排放分别占传统检测方法的53.07%、36.88%;3个委托检验项目中茸毛检验的GHG排放最高,为0.014 5 kgCO_(2)e/kg,含胶率检验与单丝强伸度检验的排放均较低;不确定性分析表明每批丝的总质量对总排放的影响在3.95%以内(95%置信区间)。建立的生丝检验过程中初级活动数据的调研与分配方法,碳足迹核算以及不确定性分析的方法,可为丝绸行业进行碳足迹核算提供数据与方法参考。Objective In response to our national goal of"achieving a carbon peak by 2030,and carbon neutrality by 2060",the silk industry urgently needs to carry out life cycle assessment,carry out carbon footprint accounting,and guide silk enterprises to conduct energy-saving and emission reduction green production.Although raw silk inspection is a small part of the entire silk product industry chain,it is also an important part.Research on the carbon footprint assessment of this stage is also necessary.Method The life cycle assessment(LCA)method under the framework of ISO14067 and ISO14040/44 was used to calculate and compare the carbon footprint of the traditional and electronic inspection of raw silk.The primary activity data including the electricity,material and other additive inputs were collected in the most representative silk inspection agency in China.The Monte Carlo method was used to assess the uncertainty of the accounting results through computer simulation.Results The system boundaries of traditional and electronic raw silk tests were established as shown in Fig.1 and Fig.2,where the main inputs for the two testing methods were almost the same with only slight differences in unit processes.The primary activity data of each unit process are collected and recorded,as shown in Tab.1.The GHG emission factors of different energy and material inputs were listed(Tab.2).The carbon footprint(CFP)was calculated by multiplying the quantity of the material input and GHG emission factor of the material.The CFP distribution of raw silk inspections consisting of different unit processes,as well as corresponding CFP percentages of different inputs for different inspections(Fig.3).The results indicate that the proportion of electricity consumption was the largest,followed by gasoline used for transportation,and the electricity consumption was mainly due to the operation of standard atmosphere maintained in the test room.CFP quantification result shows that there are no big differences between the CFPs of the electronic test
分 类 号:TS147[轻工技术与工程—纺织材料与纺织品设计]
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