Environmental resource assessment model design based on fuzzy control algorithm and GIS technology

Lingwei Chen, Yuanliangrui Pan and Cheng Li

International Journal of Sustainable Development, 2025, vol. 28, issue 1, 73-89

Abstract: For the purpose of sustainable development, the nation is progressively promoting the dissemination of wind energy resources. This paper utilises wind power generation as a case study and undertakes the establishment of an assessment model for environmental resources. Firstly, it scrutinises the challenges associated with acquiring wind resource distribution data, followed by the introduction of fuzzy control theory. Finally, the paper conducts wind resource assessment utilising the ArcGISEngine10.1 component, employing the processed data obtained through fuzzy logic techniques. Empirical findings evince that this model begets more precise parameters vis-à-vis alternative resolutions, culminating in a 5.2% augmentation in the efficacy of wind power harnessing via the sagacious instantiation of the fuzzy control algorithm. The wind resource distribution cartography of Minnesota, as ascertained by the system, evinces consonance with the spatial dispersal of extant wind agrarian tracts, with wind energy density oscillating from 562.0021 at diverse sites, attaining a zenith of 673.868.

Keywords: fuzzy control algorithm; wind energy resources; GIS; intelligent control; grid dispatch. (search for similar items in EconPapers)
Date: 2025
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