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Analysis of Dynamic Biogas Consumption in Chinese Rural Areas at Village, Township, and County Levels

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Listed:
  • Gongyi Li

    (College of Architecture and Urban Planning, Qingdao University of Technology, Qingdao 266033, China
    Biogas Institute of Ministry of Agriculture (BIOMA), Chengdu 610041, China)

  • Tao Luo

    (Biogas Institute of Ministry of Agriculture (BIOMA), Chengdu 610041, China)

  • Jianghua Xiong

    (Rural Energy and Environment Agency of Jiangxi Province, Nanchang 335000, China)

  • Yanna Gao

    (College of Architecture and Urban Planning, Qingdao University of Technology, Qingdao 266033, China)

  • Xi Meng

    (College of Architecture and Urban Planning, Qingdao University of Technology, Qingdao 266033, China)

  • Yaoguo Zuo

    (College of Architecture and Urban Planning, Qingdao University of Technology, Qingdao 266033, China)

  • Yi Liu

    (Biogas Institute of Ministry of Agriculture (BIOMA), Chengdu 610041, China)

  • Jing Ma

    (Rural Energy and Environment Agency of Jiangxi Province, Nanchang 335000, China)

  • Qiuwen Chen

    (Biogas Institute of Ministry of Agriculture (BIOMA), Chengdu 610041, China)

  • Yuxin Liu

    (Rural Energy and Environment Agency of Jiangxi Province, Nanchang 335000, China)

  • Yichong Xin

    (Rural Energy and Environment Agency of Jiangxi Province, Nanchang 335000, China)

  • Yangjie Ye

    (Biogas Institute of Ministry of Agriculture (BIOMA), Chengdu 610041, China)

Abstract

Understanding the characteristics of biogas demand in rural areas is essential for on-demand biogas production and fossil fuel offsetting. However, the spatiotemporal features of rural household energy consumption are unclear. This paper developed a rural biogas demand forecasting model (RBDM) based on the hourly loads of different energy types in rural China. The model requires only a small amount of publicly available input data. The model was verified using household energy survey data collected from five Chinese provinces and one year’s data from a village-scale biogas plant. The results showed that the predicted and measured biogas consumption and dynamic load were consistent. The relative error of village biogas consumption was 11.45%, and the dynamic load showed seasonal fluctuations. Seasonal correction factors were incorporated to improve the model’s accuracy and practicality. The accuracy of the RBDM was 19.27% higher than that of a static energy prediction model. Future research should verify the model using additional cases to guide the design of accurate biogas production and distribution systems.

Suggested Citation

  • Gongyi Li & Tao Luo & Jianghua Xiong & Yanna Gao & Xi Meng & Yaoguo Zuo & Yi Liu & Jing Ma & Qiuwen Chen & Yuxin Liu & Yichong Xin & Yangjie Ye, 2025. "Analysis of Dynamic Biogas Consumption in Chinese Rural Areas at Village, Township, and County Levels," Agriculture, MDPI, vol. 15(2), pages 1-18, January.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:2:p:149-:d:1565041
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