Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24–26, 2024, Jinan, China

Research Article

Research on Investment Strategy of Energy-saving Renovation of Public Buildings Driven by Carbon Trading

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  • @INPROCEEDINGS{10.4108/eai.24-5-2024.2350050,
        author={Yangfan  Luo and Jinlong  Wang and Chun  Liu and Tao  Chen},
        title={Research on Investment Strategy of Energy-saving Renovation of Public Buildings Driven by Carbon Trading},
        proceedings={Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24--26, 2024, Jinan, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2024},
        month={10},
        keywords={carbon emissions public buildings energy saving renovation investment strategy},
        doi={10.4108/eai.24-5-2024.2350050}
    }
    
  • Yangfan Luo
    Jinlong Wang
    Chun Liu
    Tao Chen
    Year: 2024
    Research on Investment Strategy of Energy-saving Renovation of Public Buildings Driven by Carbon Trading
    MSEA
    EAI
    DOI: 10.4108/eai.24-5-2024.2350050
Yangfan Luo1, Jinlong Wang1, Chun Liu2, Tao Chen3,*
  • 1: State Grid Taizhou Power Supply Co., Ltd, Taizhou, 318000, China
  • 2: 3Xizang electric power trading center Co., Ltd, Lasa, 850000, China
  • 3: Nanjing Institute of Technology, Nanjing, 211167, China
*Contact email: 34913896@qq.com

Abstract

This paper investigates the investment strategy with the shortest payback period or the highest net present value based on the comprehensive income of energy conservation and carbon emission trading of different building reconstruction technologies. The analysis is conducted using a multiple regression algorithm, taking into account the price fluctuation of the initial investment and carbon emission trading. The case verification results indicate that the optimal initial investment results in a capital savings of 44.43%, a reduction in the payback period by 4.33 years, and a rise in the total investment rate by 37.92% compared to the full investment. Diverse optimal capital allocation options exist, which are subject to vary based on investment priorities between boiler replacement and rooftop PV, particularly in the context of carbon trading price fluctuations around 50 ³/t. Ultimately, a venture capital decision model is developed using the probability distribution of carbon trading prices during the contract time. The model aims to optimize the overall projected return, offering owners precise and adaptable investment guidance.