4.6 Article

Disposal and Recycle Economic Assessment for Aircraft and Engine End of Life Solution Evaluation

期刊

APPLIED SCIENCES-BASEL
卷 10, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/app10020522

关键词

aircraft disposal and recycle process; End of Life (EoL); aircraft and aircraft engine Life Cycle Analysis (LCA); engineering cost and value analysis; disposal and recycle economic indicator

资金

  1. National Natural Science Foundation of China (NSFC) [51805440]
  2. Fundamental Research Funds for the Central Universities [G2018KY0301]

向作者/读者索取更多资源

The present study proposes an economic indicator to support the evaluation of aircraft End of Life (EoL) strategies in view of the increasing demand with regards to aircraft decommissioning. This indicator can be used to evaluate the economic performance and to facilitate the trade-off studies among different strategies. First, Disposal and Recycle (D&R) scenarios related to stakeholders are investigated to identify the core concepts for the economic evaluation. Next, we extracted the aircraft D&R process from various real-life practices. In order to obtain the economic measure for the engineering process, a method of estimating the D&R cost and values are developed by integrating product, process and cost properties. This analysis is demonstrated on an averaged data set and two EoL aircraft cases. In addition, sensitivity analysis is performed to evaluate the impact of the D&R cost, residual value, and salvage value. Results show that the disassembly and dismantling of an aircraft engine possesses relatively more economic gains than that for the aircraft. The main factors influencing the proposed D&R economic indicator are the salvage value and D&R cost for economically efficient D&R cases. In addition, delaying the disposal and recycle process for EoL aircraft can lead to economically unfavorable solutions. The economic indicator combined with the evaluation methods is widely applicable for evaluations of engineering products EoL solutions, and implies a significant contribution of this research to decision making for such complex systems in terms sustainable policy.

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