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:2019-03-09
Indexed by:Journal Article
Date of Publication:2014-09-01
Journal:JOURNAL OF CLEANER PRODUCTION
Included Journals:Scopus、EI、SCIE
Volume:78
Page Number:131-138
ISSN:0959-6526
Key Words:Hybrid inventory analysis; Process based analysis; Diesel engine; Life Cycle Assessment; Fuel efficiency
Abstract:Life cycle inventory (LCI) compilations of large and medium-sized equipment manufacturing is labor intensive and time consuming due to complexities involved in data collection processes. Process based Life Cycle Assessment (P-LCA) methods can provide accurate inventory results with up-to-date data; however, it also suffers from several problems including system boundary identification, high cost, data confidentiality, and long timespans. Economic Input-Output (EIO) based inventory is fast and operable method for applying data on a national level which helps to negate truncation errors. This paper conducts an IO based hybrid inventory analysis for a diesel engine manufactured in China with Chinese Economic Input-Output Table and Life Cycle Database. The energy requirements and quantifications regarding air pollutants of the engine's entire life cycle are identified. Moreover, the differences between the LCI results achieved by IO based hybrid approach and process based analysis methods are also presented. Sensitivity analysis of various fuel efficiencies is conducted to demonstrate the effect of fuel efficiency on overall impacts of the engine through its life cycle. Finally, Monte Carlo Simulation is adopted to analyze the uncertainties of various data sources on the LCA results. (C) 2014 Elsevier Ltd. All rights reserved.
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.
