TY - JOUR
T1 - Multiobjective forecast and optimization for secondary battery production in China
AU - Sun, Weijun
AU - Yu, Yajuan
AU - Wang, Dong
AU - Wang, Xiang
AU - Liang, Yuhan
AU - Huang, Kai
N1 - Publisher Copyright:
© 2013 by Begell House, Inc.
PY - 2013
Y1 - 2013
N2 - Currently in China, PbA, NiMH, and Li-ions have occupied the secondary bat ery market. However, the use of secondary bat eries has severe environmental impact to humans, and the negative influences of different types are not the same. Therefore it is significant to build up yield optimization and adjust the industry structure for coordination of environmental and economic concerns. Yield structure is determined by policy, economic effect, environmental impact, and other factors, so this article sets up multiobjective goals and simulates three yield-optimization scenarios. "Business as usual" (BAU) focuses on policy direction, the "low-investment model" (LIM) takes economic effects into consideration, and the "environmental emphasis model" (EEM) focuses on the environment. The application of BAU, LIM, and EEM models, serving as tools to analyze the yield optimization and industry structure of secondary bat eries, is helpful for decision makers and experts to put forward prospective policy for a sustainable society. Based on the three models, the results of secondary bat ery yield optimization are analyzed. Compared with total production, investment, and annual environmental impact from the three models, EEM has the lowest negative environmental impact, while investment and the annual production of the other two are within a reasonable range. That means EEM is an economical and environmentally friendly optimization model, balancing the high electrochemical performance and fast social development, while not sacrificing the environment.
AB - Currently in China, PbA, NiMH, and Li-ions have occupied the secondary bat ery market. However, the use of secondary bat eries has severe environmental impact to humans, and the negative influences of different types are not the same. Therefore it is significant to build up yield optimization and adjust the industry structure for coordination of environmental and economic concerns. Yield structure is determined by policy, economic effect, environmental impact, and other factors, so this article sets up multiobjective goals and simulates three yield-optimization scenarios. "Business as usual" (BAU) focuses on policy direction, the "low-investment model" (LIM) takes economic effects into consideration, and the "environmental emphasis model" (EEM) focuses on the environment. The application of BAU, LIM, and EEM models, serving as tools to analyze the yield optimization and industry structure of secondary bat eries, is helpful for decision makers and experts to put forward prospective policy for a sustainable society. Based on the three models, the results of secondary bat ery yield optimization are analyzed. Compared with total production, investment, and annual environmental impact from the three models, EEM has the lowest negative environmental impact, while investment and the annual production of the other two are within a reasonable range. That means EEM is an economical and environmentally friendly optimization model, balancing the high electrochemical performance and fast social development, while not sacrificing the environment.
KW - Environmental impact
KW - Multiobjective optimization
KW - Secondary bat eries
UR - https://www.scopus.com/pages/publications/84942796067
U2 - 10.1615/InterJEnerCleanEnv.2014007911
DO - 10.1615/InterJEnerCleanEnv.2014007911
M3 - Article
AN - SCOPUS:84942796067
SN - 2150-3621
VL - 14
SP - 241
EP - 256
JO - International Journal of Energy for a Clean Environment
JF - International Journal of Energy for a Clean Environment
IS - 4
ER -