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Design and Economic Analysis of Rural Energy Internet Investment-Construction-Operation System

In: Economic Management and Big Data Application Proceedings of the 3rd International Conference

Author

Listed:
  • Hengtian Wu
  • Weizheng Kong
  • Xiaoyu Wu
Abstract
In order to promote the construction and development of rural energy Internet, this paper designs corresponding business models for the three stages of rural energy Internet investment - construction - operation, and establishes cost and value measurement models. Based on the actual data in Shandong, five different scenarios are set up to measure the cost and value, and the best means to improve the economic efficiency of rural industries are identified through sensitivity analysis. The results of the example show that considering multiple benefits can bring a better economy to the rural energy industry, and increasing the percentage of direct energy supply is the best way to improve the economy of the rural energy industry.

Suggested Citation

  • Hengtian Wu & Weizheng Kong & Xiaoyu Wu, 2024. "Design and Economic Analysis of Rural Energy Internet Investment-Construction-Operation System," World Scientific Book Chapters, in: Sikandar Ali Qalati (ed.), Economic Management and Big Data Application Proceedings of the 3rd International Conference, chapter 5, pages 46-57, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789811270277_0005
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    More about this item

    Keywords

    Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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