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A simplified assessment method based on Hooke's law to estimate the grid-friendly ability of buildings

Author

Listed:
  • Yue, Lu
  • Niu, Jide
  • Tian, Zhe
  • Lin, Quanyi
  • Lu, Yakai

Abstract

The development of grid-friendly buildings helps to enhance the supply–demand interaction, thereby improving the energy system efficiency. The relevant evaluation indicators are mainly based on the building operation results and the aspect of effect evaluation. Even the flexible prediction of buildings is executed using operation results prediction. Although effect evaluations are accurate, the data requirements are high, and a certain threshold for promotion occurs. This inability to evaluate grid-friendly buildings rapidly prompted the development of a method to estimate the influence of buildings on the grid based on planned capacity by referring to Hooke's law. First, the relationship between building flexibility, power grid, and end-user fluctuation is quantified by analogy to Hooke's Law. The electricity equivalent and intermittent consideration are then used to establish a calculation method for the degree of influence. The rationality of the method is then verified by simulating the running results of different planning schemes using a testing platform built in Python. The traditional method is then conducted. The consistency between the traditional method and the proposed method is analyzed, as well as the grid-friendly potential and response effect of different energy technologies.

Suggested Citation

  • Yue, Lu & Niu, Jide & Tian, Zhe & Lin, Quanyi & Lu, Yakai, 2024. "A simplified assessment method based on Hooke's law to estimate the grid-friendly ability of buildings," Renewable Energy, Elsevier, vol. 223(C).
  • Handle: RePEc:eee:renene:v:223:y:2024:i:c:s0960148123018463
    DOI: 10.1016/j.renene.2023.119931
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    Cited by:

    1. Wu, Jiani & Fan, Jianhua & Ma, Tianzeng & Kong, Weiqiang & Chang, Zheshao & Li, Xin, 2024. "Identifying driving factors in cascaded packed bed latent thermal energy storage: An experimental validation," Renewable Energy, Elsevier, vol. 224(C).

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