基于碳手印方法的工业过程降碳改造研究Research on carbon reduction transformation in industrial processes based on carbon handprint method
赵宏飞,马秀娟,马添翼,柳双翠,林小杰,徐家豪,黄曦
ZHAO Hongfei,MA Xiujuan,MA Tianyi,LIU Shuangcui,LIN Xiaojie,XU Jiahao,HUANG XI
摘要(Abstract):
为解决工业过程碳排放降碳方法及标准不明确的问题,需要定量评价碳排放影响以制定科学的碳减排计划。传统的工业过程降碳改造局限于厂内的能源替代、设备改造等措施,因此提出一种用于描述产品全生命周期内对气候积极影响的碳手印方法,结合碳足迹构建了更加全面的评价体系。以某企业工业过程中制造的水轮发电机配套水发定子线圈为研究对象,考虑边界内外多种降碳改造方案,进行了边界划分、碳足迹核算和碳手印分析,计算不同方案所产生的效率增量、寿命增量及碳手印。结果显示替换绝缘材料方案效果最为显著,碳手印方法为案例企业的降碳改造提供了有效指导。
To address the ambiguity surrounding methods and standards for reducing carbon emissions in industrial processes, it is essential to quantitatively assess the impact of carbon emissions and formulate a scientifically grounded carbon reduction plan. Traditional approaches to carbon reduction in industrial processes are confined to measures such as energy substitution and equipment modification within the factory. Therefore, a carbon handprint method for describing the positive climate impact of products throughout their lifecycle is proposed. Based on the carbon footprint, the paper establishes a more comprehensive evaluation system. With the stator coils for hydroelectric generators manufactured in the industrial processes of a particular company as the research subject, various carbon reduction schemes both inside and outside the boundaries are considered. Boundary delineation, carbon footprint calculation, and carbon handprint analysis are conducted, and efficiency increments, lifespan increments, and carbon handprints generated from different schemes are calculated. The results show that the replacement of insulation materials has the most significant effect, and the carbon handprint method proves to be an effective guide for carbon reduction transformation in the case company.
关键词(KeyWords):
碳手印;碳足迹;工业过程;降碳改造
carbon handprint;carbon footprint;industrial process;carbon reduction transformation
基金项目(Foundation): 国家自然科学基金资助项目(51806190);; 国家重点研发计划资助项目(2022YFB3304502);; 浙江大学科研项目资助(XY2022013)
作者(Author):
赵宏飞,马秀娟,马添翼,柳双翠,林小杰,徐家豪,黄曦
ZHAO Hongfei,MA Xiujuan,MA Tianyi,LIU Shuangcui,LIN Xiaojie,XU Jiahao,HUANG XI
DOI: 10.19585/j.zjdl.202403014
参考文献(References):
- [1]WIEDMANN T,WOOD R,LENZEN M,et al.Development of an embedded carbon emissions indicator:producing a time series of input-output tables and embedded carbon dioxide emissions for the UK by using a MRIO data optimisation system[J].Accounts of Chemical Research,2008,6(1):32-40.
- [2]蒋惠琴,李奕萱,陈苗苗,等.碳中和愿景下浙江省工业部门碳达峰预测与实现策略[J].地域研究与开发,2022,41(4):157-161.JIANG Huiqin,LI Yixuan,CHEN Miaomiao,et al.Prediction and realization strategy of the carbon peak of the industrial sector in Zhejiang Province under the vision of carbon neutrality[J].Areal Research and Development,2022,41(4):157-161.
- [3]牛耕,季宇,杨安男,等.基于改进碳交易机制的多能微网低碳经济调度[J].电力建设,2023,44(10):107-116.NIU Geng,JI Yu,YANG Annan,et al.Low-carbon economic dispatch of multi-energy microgrid based on improved carbon trading mechanism[J].Electric Power Construction,2023,44(10):107-116.
- [4]江训谱,吕施霖,王健,等.考虑阶梯碳交易和最优建设时序的园区综合能源系统规划[J].电测与仪表,2023,60(12):11-19.JIANG Xunpu,LYU Shilin,WANG Jian,et al.Park-level integrated energy system planning considering tiered carbon trading and optimal construction timing[J].Electrical Measurement&Instrumentation,2023,60(12):11-19.
- [5]赵杰,王聪,李冠冠,等.考虑需求响应的多微网P2P能源交易低碳运行策略[J].电力建设,2023,44(12):54-65.ZHAO Jie,WANG Cong,LI Guanguan,et al.Low-carbon operation strategy for P2P energy trading among multiple microgrids considering demand response[J].Electric Power Construction,2023,44(12):54-65.
- [6]唐建林,余涛,肖勇,等.基于迁移多搜索器Q学习算法的碳能复合流无功优化[J].电力电容器与无功补偿,2022,43(1):18-29.TANG Jianlin,YU Tao,XIAO Yong,et al.Reactive power optimization of carbon-energy composite flow based on transfer multi-searcher Q-learning[J].Power Capacitor&Reactive Power Compensation,2022,43(1):18-29.
- [7]杨毅,易文飞,王晨清,等.基于碳排放流理论的园区综合能源系统低碳经济调度[J].电力建设,2022,43(11):33-41.YANG Yi,YI Wenfei,WANG Chenqing,et al.Lowcarbon economic dispatching of park integrated energy system applying carbon emission flow theory[J].Electric Power Construction,2022,43(11):33-41.
- [8]游一民,彭振搏,戴冬云,等.40.5 k V C-GIS全生命周期内碳排放计算与分析[J].高压电器,2022,58(9):13-19.YOU Yimin,PENG Zhenbo,DAI Dongyun,et al.Calculation and analysis of carbon emission in the whole life cycle of 40.5 k V C-GIS[J].High Voltage Apparatus,2022,58(9):13-19.
- [9]谢宝江,秦建,罗扬帆,等.考虑能质系数的工商业园区综合能源协同优化方法[J].浙江电力,2021,40(8):78-83.XIE Baojiang,QIN Jian,LUO Yangfan,et al.A collaborative optimization method of comprehensive energy in industrial and commercial parks considering energy-quality coefficient[J].Zhejiang Electric Power,2021,40(8):78-83.
- [10]翁格平,任娇蓉,姚艳,等.考虑时变电碳因子的园区综合能源系统低碳经济调度[J].浙江电力,2022,41(10):106-114.WENG Geping,REN Jiaorong,YAO Yan,et al.Lowcarbon economic dispatch of industrial park integrated energy system considering time-varying carbon emission factor[J].Zhejiang Electric Power,2022,41(10):106-114.
- [11]WIEDMANN T,MINX J.A definition of‘carbon footprint[J].Science,2007,1(1):1-11.
- [12]GR?NMAN K,PAJULA T,SILLMAN J,et al.Carbon handprint-An approach to assess the positive climate impacts of products demonstrated via renewable diesel case[J].Journal of Cleaner Production,2019,206:1059-1072.
- [13]王微,林剑艺,崔胜辉,等.碳足迹分析方法研究综述[J].环境科学与技术,2010,33(7):71-78.WANG Wei,LIN Jianyi,CUI Shenghui,et al.An overview of carbon footprint analysis[J].Environmental Science&Technology,2010,33(7):71-78.
- [14]HUANG Wenxiu.Development of carbon footprint evaluation and carbon labeling system of domestic and foreign products[J].Daily Electrical Appliances,2012,(4):4.
- [15]计军平,马晓明.碳足迹的概念和核算方法研究进展[J].生态经济,2011,27(4):76-80.JI Junping,MA Xiaoming.Review of carbon footprint:definitions and accounting methods[J].Ecological Economy,2011,27(4):76-80.
- [16]SCHMIDT H J.Carbon footprinting,labelling and life cycle assessment[J].The International Journal of Life Cycle Assessment,2009,14(1):6-9.
- [17]SUH S,NAKAMURA S.Five years in the area of inputoutput and hybrid LCA[J].The International Journal of Life Cycle Assessment,2007,12(6):351-352.
- [18]沈卫国,蔡智,刘志民,等.浅谈水泥混凝土工业低二氧化碳排放技术[J].新世纪水泥导报,2008,14(4):1-6.SHEN Weiguo,CAI Zhi,LIU Zhimin,et al.Humble talk about low carbon dioxide emission technique for cementconcrete industry[J].Cement Guide for New Epoch,2008,14(4):1-6.
- [19]冯志亮.废旧轮胎全生命周期碳足迹计算[D].天津:河北工业大学,2020.FENG Zhiliang.Calculation of carbon footprint of waste tires in the whole life cycle[D].Tianjin:Hebei University of Technology,2020.
- [20]胡博,孙铠彬,邵常政,等.面向全过程碳足迹的园区综合能源系统碳感知与优化方法[J].高电压技术,2022,48(7):2495-2504.HU Bo,SUN Kaibin,SHAO Changzheng,et al.Carbon perception and optimization method of the integrated community energy system oriented to the whole process carbon footprint[J].High Voltage Engineering,2022,48(7):2495-2504.
- [21]BECKMANN J P,EBERLE U,EISENHAUER P,et al.Der handabdruck:ein ansatz zur messung positiver nachhaltigkeitswirkungen von produkten.stand und ausblick[J].2017.
- [22]KASURINEN H,VATANEN S,GR?NMAN K,et al.Carbon handprint:potential climate benefits of a novel liquid-cooled base station with waste heat reuse[J].Energies,2019,12(23):4452.
- [23]LAKANEN L,KUMPULAINEN H,HELPPI O,et al.Carbon handprint approach for cities and regions:a framework to reveal and assess the potential of cities in climate change mitigation[J].Sustainability,2022,14(11):6534.
- [24]陈韶光,李兼伐,陈炳森,等.明秀水电站水轮发电机组增效扩容改造[J].装备制造技术,2021(7):245-247.CHEN Shaoguang,LI Jianfa,CHEN Bingsen,et al.Efficiency increase and capacity expansion transformation of water turbine generator unit in mingxiu hydropower station[J].Equipment Manufacturing Technology,2021(7):245-247.
- [25]沈卫玲,李杨,陈富杰,等.秦山核电厂330 MW双水内冷汽轮发电机增容技术浅析[J].中国核电,2021,14(4):500-503.SHEN Weiling,LI Yang,CHEN Fujie,et al.The elementary analysis on power upgrading of the 330 MW doublewater-cooled turbogenerator in Qinhan NPP[J].China Nuclear Power,2021,14(4):500-503.
- [26]中华人民共和国生态环境部.2019年度减排项目中国区域电网基准线排放因子[EB/OL].[2023-05-15].https://www.mee.gov.cn/ywgz/ydqhbh/wsqtkz/202012/W020201229610353340851.pdf
- [27]生态环境部环境规划院,北京师范大学,中山大学,中国城市温室气体工作组.中国产品全生命周期温室气体排放系数集(2022)[R].北京:2022.
- [28]WEIDEMA B P,BAUER C,HISCHIER R,et al.Overview and methodology:Data quality guideline for ecoinvent database version3[EB/OL].[2022-06-23].https://ecoinvent.org/wp-content/uploads/2021/09/dataqualityguideline_ecoinvent_3_20130506.pdf.