Research on the impact of system parameter combinations on flow-induced vibration power generation characteristics based on exploratory data analysis

Weijie Li, Dahai Zhang and Xiaofeng Shi

Renewable Energy, 2024, vol. 224, issue C

Abstract: In this paper, an exploratory data analysis method is employed to investigate the impact of different system parameter combinations on the magnitude and stability of power of flow-induced vibration (FIV). Firstly, orthogonal experimental design within exploratory data analysis is used to set up numerical simulations of flow-induced vibration and collect data on FIV power generation characteristics. Then range method is used to select the optimal parameters combination for flow-induced vibration power generation, and the degree of influence of different system parameters on power and stability is quantitatively described by variance and entropy weight methods. Our results reveal that the optimal parameter combination for power corresponds to m* = 1.343, K = 1200 andζ = 0.08, and the optimal parameter combination for stability is m* = 1.343, K = 1200 andζ = 0.04. Additionally, the weight relationship of each system parameter affecting power and stability is WK > Wζ>Wm* and Wζ>Wm*>WK, respectively. These weight relationships allow for the effective adjustment of the parameter levels to quickly achieve the goal of optimizing power and stability. A new parameter Pvalue-stability is proposed to comprehensively evaluate power magnitude and power stability, and optimal parameter combinations in different vibration branches is achieved. This paper provides new ideas and guidance for the design of the FIV energy harvesting device.

Keywords: FIV; Power and power stability; Exploratory data analysis; Weight (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:224:y:2024:i:c:s0960148124003112

DOI: 10.1016/j.renene.2024.120246

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