Li Tao
Associate Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Gender:Female
Alma Mater:Harbin Institute of Technology
Degree:Doctoral Degree
School/Department:School of Mechanical Engineering
Discipline:Mechanical Design and Theory. Intelligent Manufacturing. Mechanical Manufacture and Automation. Mechanical Engineering. Intelligent Manufacturing Technology
Business Address:8027 room, School of Mechanical Engineering building
E-Mail:
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Date:2019-03-11
Indexed by:Conference Paper
Date of Publication:2014-01-01
Included Journals:CPCI-S、EI
Volume:15
Page Number:496-501
Key Words:Hybrid inventory analysis; Diesel engine; Economic Input-Output LCA; Uncertainty analysis
Abstract:This paper conducts a Life Cycle Assessment (LCA) to evaluate the energy consumptions and environmental emissions of an engine with Integrated Hybrid Life Cycle Inventory (IH-LCI) analysis method. Aggregated Input-Output matrix A(int) is established by the methods of site investigation, data collection, and input-output analysis. Furthermore, the paper compares the results of this study with the one achieved by the process based inventory analysis method to show the sources of the differences between the two methods. Data quality of both the methods is checked by uncertainty analysis. The result can be used for exploring the optimal boundary division by LCA practitioners when applying the IH-LCI for more convenient and accurate decision making in future. (C) 2014 Published by Elsevier B.V.
Ph.D, associate professor, doctoral supervisor, graduated from Harbin Institute of technology, mainly engaged in product sustainability evaluation methods, laser repair technology, mechanical equipment energy consumption analysis and evaluation, enterprise information technology development and application. Reviewers of many domestic and foreign journals in related fields, presided over or participated in more than 20 projects of national key research and development plan, national 973 program, national Natural Science Foundation of China and enterprises, and published more than 100 papers. Ph.D Li has trained or assisted in the training of more than 50 doctoral and master degree students.
