基于碳排放核算的涤纶低弹丝生产工艺优化
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摘要
针对差别化纤维生产过程中因忽视动态能耗而导致其生产工艺尚未合理优化的问题,首先对差别化纤维生产过程的工艺及能耗问题进行了分析,并将碳足迹引入到能耗计量与核算过程中,构建了一种基于碳排放足迹的差别化纤维生产过程能耗分析与计量模型;然后以涤纶低弹丝的加弹工艺为对象,从能源碳消耗、物料碳消耗以及工艺碳排放等方面入手,设计了涤纶低弹丝生产过程碳排放函数,并构建了基于碳排放函数的涤纶低弹丝生产工艺优化模型;最后根据涤纶低弹丝工艺数据,对工艺优化模型进行了算例分析及求解。结果表明,该模型优化了差别化纤维生产过程的关键工艺参数,并使碳排放量降低13.35%。
In order to solve the problem of no reasonable optimization of the production process due to the overlooking dynamic energy consumption in the differential fiber production process, the production process and energy consumption of the differential fiber production process were firstly analyzed, and the energy consumption metering and accounting model based on carbon footprint was built. Then, the carbon emission function based on green low carbon was designed based on the energy carbon consumption, material carbon consumption and process carbon consumption. Furthermore, the polyester low elastic production was selected as the research object, and a process optimization model of the polyester low elastic filament based on carbon emission accounting was designed. Finally, on the basis of historical data, the process optimization model was solved. The results show that the model optimizes the key process parameters of the differential fiber production process, and the carbon emission of the polyester low elastic filament production decreases by 13.35%.
In order to solve the problem of no reasonable optimization of the production process due to the overlooking dynamic energy consumption in the differential fiber production process, the production process and energy consumption of the differential fiber production process were firstly analyzed, and the energy consumption metering and accounting model based on carbon footprint was built. Then, the carbon emission function based on green low carbon was designed based on the energy carbon consumption, material carbon consumption and process carbon consumption. Furthermore, the polyester low elastic production was selected as the research object, and a process optimization model of the polyester low elastic filament based on carbon emission accounting was designed. Finally, on the basis of historical data, the process optimization model was solved. The results show that the model optimizes the key process parameters of the differential fiber production process, and the carbon emission of the polyester low elastic filament production decreases by 13.35%.
引文
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[15] 童庆蒙,沈雪,张露,等.基于生命周期评价法的碳足迹核算体系:国际标准与实践[J].华中农业大学学报(社会科学版), 2018,188(1):46-57,158.TONG Qingmeng, SHEN Xue, ZHANG Lu, et al. Calculation system for carbon footprint based on evaluate method of the lifecycle: international standard and practice[J]. Journal of Huazhong Agricultural University (Social Sciences Edition), 2018,188(1):46-57,158.
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[17] TIAN Youquan, LIU Qiong. The Study about the calculation method of product carbon footprint during the flow manufacturing process [J]. Journal of Low Carbon Economy, 2014, 3(1):1-6.
[18] 李青青,苏颖,尚丽,等.国际典型碳数据库对中国碳排放核算的对比分析[J].气候变化研究进展,2018,14(2):1-6.LI Qingqing, SU Ying, SHANG Li, et al. Comparison analysis of China′s emissions accounting by typical international carbon databases[J]. Progressus Inquisitiones DE Mutatione Climatis,2018,14(2):1-6.
[2] RAILEANU S, ANTON F, IATAN A, et al. Resource scheduling based on energy consumption for sustainable manufacturing[J]. Journal of Intelligent Manufacturing, 2017, 28(7): 1519-1530.
[3] WANG Yi, DING Yongsheng, HAO Kuangrong, et al. Performance prediction of differential fibers with a bi-directional optimization approach[J]. Materials, 2013, 6(12):5967-5985.
[4] KIYONO C Y, SILVA E C N, REDDY J N. A novel fiber optimization method based on normal distribution function with continuously varying fiber path[J]. Composite Structures, 2017, 160:503-515.
[5] 邓志文.差别化纤维梳理和质量控制的新思路[J]. 辽东学院学报(自然科学版), 2018,25(1):16-23.DENG Zhiwen. New thinking on carding and quality control of differential fiber[J]. Journal of Liaodong University(Natural Sciences), 2018,25(1):16-23.
[6] 高菁.甲壳素纤维天丝精梳长绒棉混纺纱的生产实践[J]. 轻纺工业与技术, 2016, 45(3):8-10.GAO Jing. Production practice of the long-staple cotton blended yarn for polysaccharide chitin fibre [J]. Qingfang Gongye Yu Jishu, 2016, 45(3):8-10.
[7] 刘梦雨.清梳联纺差别化纤维降低棉结的技术探讨[J].辽东学院学报(自然科学版),2015,22(3):172-174.LIU Mengyu. Technology of reducing neps in differential fiber of blow-card spinning[J]. Journal of Liaodong University(Natural Sciences), 2015,22(3):172-174.
[8] 刘笑莹,方斌,朱守艾,等.棉/大麻纤维混纺低损耗工艺优化[J].纺织学报,2017,38(1):35-39.LIU Xiaoying, FANG Bin, ZHU Shouai, et al. Low-loss optimization of cotton/hemp blending process[J].Journal of Textile Research, 2017,38(1):35-39.
[9] 孙成龙,李振瀚,张玉明,等.基于机床反馈数据和工艺知识的进给速度优化[J].机械制造,2017,55(9):76-80.SUN Chenglong, LI Hanyu, ZHANG Yuming, et al. Optimization method for feed rate of machine tool based on the feedback data and technical knowledge[J]. Machinery, 2017,55(9):76-80.
[10] 舒服华.基于灰色关联的针刺涤纶防水胎基工艺参数优化[J].产业用纺织品,2017,35(3):32-38.SHU Fuhua. Optimization of process parameters of needling polyester water proof membrane base by means of grey correlation[J]. Technical Textiles, 2017,35(3):32-38.
[11] 郭春花.立足前沿明晰未来[J].纺织服装周刊, 2016,18(23):24-25.GUO Chunhua. Clarify future based on frontier technology Textile[J]. Textile Apparel Weekly, 2016,18(23):24-25.
[12] 王来力, 丁雪梅, 吴雄英. 纺织产品碳足迹研究进展[J]. 纺织学报, 2013, 34(6):113-119.WANG Laili, DING Xuemei, WU Xiongying. Research progress of textile carbon footprint[J]. Journal of Textile Research, 2013, 34(6):113-119.
[13] NIGAM M, MANDADE P, CHANANA B, et al. Energy consumption and carbon footprint of cotton yarn production in textile industry[J].International Archive of Applied Sciences and Technology, 2016,7(1):6-12.
[14] 李一, 王君涛, 王来力.牛仔裤工业碳足迹核算与评价示范[J]. 现代纺织技术, 2017,25(6):58-61.LI Yi, WANG Juntao, WANG Laili. Demonstration of carbon footprint assessment of jean industry[J]. Advanced Textile Technology, 2017,25(6):58-61.
[15] 童庆蒙,沈雪,张露,等.基于生命周期评价法的碳足迹核算体系:国际标准与实践[J].华中农业大学学报(社会科学版), 2018,188(1):46-57,158.TONG Qingmeng, SHEN Xue, ZHANG Lu, et al. Calculation system for carbon footprint based on evaluate method of the lifecycle: international standard and practice[J]. Journal of Huazhong Agricultural University (Social Sciences Edition), 2018,188(1):46-57,158.
[16] 潘鑫.求解黑箱函数全局优化问题的组合响应面法[J].高等学校计算数学学报,2014,36(4):313-326.PAN Xin. A combinational response surface method for optimization of black box functions [J]. Numerical Mathematics A Journal of Chinese Universities,2014,36(4):313-326.
[17] TIAN Youquan, LIU Qiong. The Study about the calculation method of product carbon footprint during the flow manufacturing process [J]. Journal of Low Carbon Economy, 2014, 3(1):1-6.
[18] 李青青,苏颖,尚丽,等.国际典型碳数据库对中国碳排放核算的对比分析[J].气候变化研究进展,2018,14(2):1-6.LI Qingqing, SU Ying, SHANG Li, et al. Comparison analysis of China′s emissions accounting by typical international carbon databases[J]. Progressus Inquisitiones DE Mutatione Climatis,2018,14(2):1-6.