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System Dynamics Model for Economic Analysis of Waste Incineration Power Plant Based on LCA

  • FANG Ke-jing ,
  • XIONG Zu-hong ,
  • LU Min ,
  • GUO Hua-fang ,
  • LI Ji-qing
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  • 1. Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China;                                     
    2. CAS Key Laboratory of Renewable Energy, Guangzhou 510640, China;
    3. Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou 510640, China

Received date: 2017-05-31

  Revised date: 2017-08-07

  Online published: 2017-10-30

Abstract

The economic performance of municipal solid waste incineration power plants is the basis for the decision-making of government departments and investment enterprises, and directly affects the interests of both sides. At present, the economic analysis and prediction of the waste incineration power plant are mainly based on the historical data and empirical values of the project, and it does not take into account the continuous investment in the whole life cycle of the project. In this work, based on the life cycle assessment (LCA) analysis method and the system dynamics theory, a system dynamics model was built for the economic analysis of the MSW incineration plant. The model taking an incineration power plant with capacity of 2000 t/d as an example, the analysis was carried out by giving full consideration to the capital input in the whole life cycle process. Results showed that: a feed-in tariff increased or decreased by 0.1 RMB/kW•h, the impact on the net profit was greater than that brought by the subsidy fluctuation of 10 RMB for per ton garbage treatment. The subsidy to deal with each ton garbage should be raised to 20 RMB that could be equivalent to the feed-in tariff’s adjusting by 0.1 RMB/kW•h.

Cite this article

FANG Ke-jing , XIONG Zu-hong , LU Min , GUO Hua-fang , LI Ji-qing . System Dynamics Model for Economic Analysis of Waste Incineration Power Plant Based on LCA[J]. Advances in New and Renewable Energy, 2017 , 5(5) : 365 -370 . DOI: 10.3969/j.issn.2095-560X.2017.05.007

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