LCA-SEM Energy Petrochemical Product Structure: A Research on Optimization Model of Low Carbon Economy Urban Agglomeration Supply Chain

2018 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

材料科学;无线电电子学;计算机科学

Yucong, You^1 ; Luxia, Yi^1

Guangzhou College of Business and Technology, Guangzhou, China^1

关键词: Environmental burdens;    Low-carbon supply chains;    Petrochemical products;    Positive correlations;    Raw material production;    Raw material transportation;    Social and environmental;    Supply chain optimization;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/439/5/052041/pdf
DOI  :  10.1088/1757-899X/439/5/052041

来源: IOP

【 摘 要 】

Nowadays, the carbon dioxide and other gases generated by human activities have caused problems such as the greenhouse effect and global warming. The construction of a low-carbon economy city gathering supply chain is one of the main ways to reduce greenhouse gases. This paper uses the concept of carbon footprint, takes a certain urban agglomeration as the research object, and applies the greenhouse gas emission of energy petrochemical product structure into consideration according to the principles of economic, social and environmental sustainable development, together with constructing the LCA-SEM supply chain optimization model. Taking the minimum net carbon emission of energy and petrochemical product structure in low-carbon economy urban agglomeration area as the optimization goal, combined with the optimization index analysis of energy and petrochemical product structure index system, the research conclusions show that the low-carbon supply chain plays a key role in the environment in terms of five supply chain links: energy petrochemical raw material production, energy and petrochemical raw material transportation, energy and petrochemical production, energy and petrochemical product storage, as well as energy petrochemical transportation. The list of environmental burdens À(X) on the contribution of greenhouse gases to global warming optimization model shows that the urban agglomeration area and the "core area" energy consumption carbon sink area bears a significantly positive correlation with both of the regional carbon intensity and energy intensity of different energy land.