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  • Open Access

    ARTICLE

    Evaluating the Derivative Value of Smart Grid Investment under Dual Carbon Target: A Hybrid Multi-Criteria Decision-Making Analysis

    Na Yu1, Changzheng Gao2, Xiuna Wang2, Dongwei Li2,*, Weiyang You2

    Energy Engineering, Vol.120, No.12, pp. 2879-2901, 2023, DOI:10.32604/ee.2023.029426

    Abstract With the goal of “carbon peaking and carbon neutralization”, it is an inevitable trend for investing smart grid to promote the large-scale grid connection of renewable energy. Smart grid investment has a significant driving effect (derivative value), and evaluating this value can help to more accurately grasp the external effects of smart grid investment and support the realization of industrial linkage value with power grid investment as the core. Therefore, by analyzing the characterization of the derivative value of smart grid driven by investment, this paper constructs the evaluation index system of the derivative value of smart grid investment including… More >

  • Open Access

    ARTICLE

    A Model for the Optimization of the Shale Gas Horizontal Well Section Based on the Combination of Different Weighting Methods in the Frame of the Game Theory

    Minxuan Li1, Jing Sun1,*, Dehua Liu1, Yang Li1, Kuidong Li2, Wei Liu2, Jialin Xiao2, Jiani Hu3

    FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.5, pp. 993-1005, 2020, DOI:10.32604/fdmp.2020.010443

    Abstract Existing “evaluation indicators” are selected and combined to build a model to support the optimization of shale gas horizontal wells. Towards this end, different “weighting methods”, including AHP and the so-called entropy method, are combined in the frame of the game theory. Using a relevant test case for the implementation of the model, it is shown that the horizontal section of the considered well is in the middle sweet spot area with good physical properties and fracturing ability. In comparison with the FSI (flow scanner Image) gas production profile, the new model seems to display better abilities for the optimization… More >

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