Prediction and Feed-In Tariffs of Municipal Solid Waste Generation in Beijing: Based on a GRA-BiLSTM Model

被引:0
|
作者
Zhang, Xia [1 ]
Liu, Bingchun [2 ]
机构
[1] Tianjin Zhongxinde Met Struct Co Ltd, Tianjin 300380, Peoples R China
[2] Tianjin Univ Technol, Sch Management, Tianjin 300384, Peoples R China
基金
国家重点研发计划;
关键词
municipal solid waste; GRA-BiLSTM model; feed-in tariff; waste-to-energy; cost; TO-ENERGY; CLASSIFICATION; MANAGEMENT; MSW;
D O I
10.3390/su16093579
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To cope with the increasing energy demand of people and solve the problem of a "Garbage Siege", most cities have begun to adopt waste power generation (WTE). Compared to other WTE technologies, incineration has proven to be the most efficient technology for municipal solid waste (MSW) treatment. Therefore, to further explore the economic feasibility of MSW incineration plant construction, this study established a multi-factor prediction of MSW generation based on the GRA-BiLSTM model. By fully considering the relationship between the change in feed-in tariff (FIT) and the building of an incineration plant in Beijing, the economic feasibility of building an incineration plant is discussed based on the three scenarios set. The experimental results showed that (1) the combined model based on the GRA-BiLSTM showed good applicability for predicting MSW generation in Beijing, with MAE, MAPE, RMSE, and R2 values of 12.47, 5.97%, 18.5580, and 0.8950, respectively. (2) Based on the three scenarios set, the incineration power generation of Beijing MSW will show varying degrees of growth in 2022-2035. In order to meet future development, Beijing needs to build seven new incinerators, and the incineration rate should reach 100%. (3) According to setting different feed-in tariffs, based on the economic feasibility analysis, it is found that the feed-in tariff of MSW incineration for power generation in Beijing should be no less than $0.522/kWh. The government should encourage the construction of incineration plants and give policy support to enterprises that build incineration plants.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Electricity Generation Potential Forecast of Beijing Municipal Solid Waste Separation Rate Based on GRA-BiLSTM Model
    Liu, Bingchun
    Fu, Yi
    Xiaoqin, Liang
    Feng, Zijie
    WASTE AND BIOMASS VALORIZATION, 2024, 15 (07) : 3969 - 3986
  • [2] PREDICTION OF BALTIC DRY INDEX BASED ON GRA-BiLSTM COMBINED MODEL
    Liu, B. C.
    Wang, X. Y.
    Zhao, S. M.
    Xu, Y.
    INTERNATIONAL JOURNAL OF MARITIME ENGINEERING, 2023, 165 : 217 - 228
  • [3] Carbon emission reduction prediction of new energy vehicles in China based on GRA-BiLSTM model
    Liu, Bingchun
    Wang, Shuai
    Liang, Xiaoqin
    Han, Zhaoyang
    ATMOSPHERIC POLLUTION RESEARCH, 2023, 14 (09)
  • [4] Prediction of hydrogen production potential of wastewater based on GRA-BiLSTM model under shared socioeconomic pathway in Guangdong
    Liu, Bingchun
    Du, Yitong
    Lai, Mingzhao
    DESALINATION, 2024, 590
  • [5] Carbon emission reduction potential analysis of fuel cell vehicles in China: Based on GRA-BiLSTM prediction model
    Liu, Bingchun
    Zheng, Shize
    Lai, Mingzhao
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 66 : 110 - 121
  • [6] Influence Factors Analysis and Generation Prediction of Beijing Municipal Solid Waste
    Liu Yi
    Li Xin
    2015 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING - 22ND ANNUAL CONFERENCE PROCEEDINGS, VOLS I AND II, 2015, : 1860 - 1867
  • [7] Demand gap analysis of municipal solid waste landfill in Beijing: Based on the municipal solid waste generation
    Liu, Bingchun
    Zhang, Lei
    Wang, Qingshan
    WASTE MANAGEMENT, 2021, 134 : 42 - 51
  • [8] The prediction of the generation of municipal solid waste based on grey combination model
    Zhang, Yi
    ENVIRONMENTAL PROTECTION AND RESOURCES EXPLOITATION, PTS 1-3, 2013, 807-809 : 1479 - 1482
  • [9] Prediction of metal recovery potential of end-of-life NEV batteries in China based on GRA-BiLSTM
    Liu, Bingchun
    Liu, Xiao
    WASTE MANAGEMENT, 2024, 190 : 339 - 349
  • [10] A Multistep Chaotic Model for Municipal Solid Waste Generation Prediction
    Song, Jingwei
    He, Jiaying
    ENVIRONMENTAL ENGINEERING SCIENCE, 2014, 31 (08) : 461 - 468