点击次数：

论文类型：期刊论文

发表时间：2014-09-01

发表刊物：JOURNAL OF CLEANER PRODUCTION

收录刊物：SCIE、EI、Scopus

卷号：78

页面范围：131-138

ISSN号：0959-6526

关键字：Hybrid inventory analysis; Process based analysis; Diesel engine; Life Cycle Assessment; Fuel efficiency

摘要：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.