Multidimensional evaluation method and application based on life cycle carbon efficiency considering carbon emission, cost, and function

被引:7
作者
Ma, Yan [1 ,2 ]
Li, Fangyi [1 ,2 ]
Wang, Liming [1 ,2 ]
Wang, Geng [1 ,2 ]
机构
[1] Shandong Univ, Sch Mech Engn, Key Lab High Efficiency & Clean Mech Manufacture, Minist Educ, Jinan 250061, Peoples R China
[2] Shandong Univ, Natl Demonstrat Ctr Expt Mech Engn Educ, Jinan 250061, Peoples R China
基金
国家重点研发计划;
关键词
Life cycle carbon efficiency; Carbon emission calculation; Cost assessment; Function quantitative analysis; Life cycle assessment; Comprehensive evaluation; BENEFIT; MODEL;
D O I
10.1007/s11356-023-27290-w
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Low carbon research has currently become the most discussed environmental issue. Current comprehensive evaluation methods for low carbon consider carbon emission, cost, process parameters, and resource utilization, but the realization of low carbon may lead to cost fluctuations and functional changes and lack consideration of product functional requirements. Hence, this paper developed a multidimensional evaluation method for low-carbon research based on the association among three dimensions, namely, carbon emission, cost, and function. This multidimensional evaluation method was named life cycle carbon efficiency (LCCE), which is defined as the ratio between the value in the life cycle and the carbon emissions generated. The LCCE model was established, and then carbon emission calculation, cost assessment, and function quantification of the life cycle were performed according to the three dimensions. Case study and sensitivity analysis verified the feasibility of the proposed method. The method had comprehensive and accurate evaluation results, which provided theoretical support and optimized the low-carbon design.
引用
收藏
页码:70918 / 70936
页数:19
相关论文
共 32 条
[1]  
[Anonymous], 2009, WORLD EN OUTL, DOI DOI 10.1787/557A761B-EN
[2]  
[Anonymous], 2022, CHINAS ELECT STAT
[3]   Joint decisions of machining process parameters setting and lot-size determination with environmental and quality cost consideration [J].
Awad, Mahmoud I. ;
Hassan, Noha M. .
JOURNAL OF MANUFACTURING SYSTEMS, 2018, 46 :79-92
[4]  
Cai W., 1994, The Matter-element Model and Its Application
[5]   A carbon efficiency approach for life-cycle carbon emission characteristics of machine tools [J].
Cao, Huajun ;
Li, Hongcheng ;
Cheng, Haiqin ;
Luo, Yi ;
Yin, Ruixue ;
Chen, Yongpeng .
JOURNAL OF CLEANER PRODUCTION, 2012, 37 :19-28
[6]   Impact of efficiency, investment, and competition on low carbon manufacturing [J].
Chen, Xu ;
Luo, Zheng ;
Wang, Xiaojun .
JOURNAL OF CLEANER PRODUCTION, 2017, 143 :388-400
[7]  
Chongqing Machine Tool (Group) Co. Ltd, 2021, WORLD MANUF ENG MARK, V5, P76
[8]   Modelling of carbon utilisation efficiency and its application in milling parameters optimisation [J].
Deng, Zhaohui ;
Lv, Lishu ;
Huang, Wenliang ;
Wan, Linlin ;
Li, Shichun .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2020, 58 (08) :2406-2420
[9]  
Gougeo P, 2012, EUROPEAN ENERGY MARK, DOI 10.1109/EEM.2012.6254710
[10]   Dynamic relationship among economic growth, energy, trade openness, tourism, and environmental degradation: fresh global evidence [J].
Gulistan, Ayesha ;
Bin Tariq, Yasir ;
Bashir, Malik Fahim .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (12) :13477-13487