Abstract
Offshore wind energy has become the fastest growing form of renewable energy for the last few years. And the development of offshore wind farms (OWFs) is now characterized by a boom. OWF siting is crucial in the success of wind energy projects. Therefore, this paper aims to introduce intelligent algorithms to improve the siting assessment under conditions of multisource and uncertain information. An optimization macrositing model based on Cloud-Bayesian Network (Cloud-BN) is put forward. We introduce the cloud model and adaptive Gaussian cloud transformation (A-GCT) algorithm to grade indicators and apply BN to achieve nonlinear integration and inference of multi-indicators. Combined with the fuzzy representation of the cloud model and probabilistic reasoning of BN, the proposed model can investigate the most efficient siting areas of OWFs in the North Sea of Europe. The experimental results indicate that the siting accuracy is up to 86.67% with reference to the actual OWF location.
Highlights
With the growing energy and environmental problems, wind energy, a clean renewable energy, is preferred by the public due to its great advantages and exploitation potential
Aiming at the above problem, we introduce these two intelligent algorithms: The cloud model [28] proposed by Academician Li is an effective way to deal with the uncertainty, which has been applied in data mining, intelligent decision-making and threat assessment [29,30,31]
We combine the complementary advantages of the cloud model and Bayesian Network (BN) to propose an offshore wind farms (OWFs) siting assessment model considering the uncertainty
Summary
With the growing energy and environmental problems, wind energy, a clean renewable energy, is preferred by the public due to its great advantages and exploitation potential. Wind power is developing rapidly, becoming an industry with strong vitality. It is no doubt that the site selection for offshore wind farms (OWFs) is vital to the development of offshore wind energy. The site selection for wind farms is a process of finding locations with rich wind energy resources and great economic benefit through evaluation of all kinds of conditions, such as meteorology, geography, society, and economy. According to the different scale of siting areas, it is divided into macrosite selection (the regional scale) and microsite selection (the scale of the farm) [3].
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