Optimizing wind energy conversion efficiency with respect to noise: A study on multi-criteria wind farm layout design

Cao, Jiu Fa; Zhu, W. D.; Shen, Wen Zhong; Sørensen, Jens Nørkær; Sun, Zhen Ye

doi:10.1016/j.renene.2020.05.084

Cited by 21 publications

(8 citation statements)

References 43 publications

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“…But there may be potential to further improve the overall farm economic performance while alleviating negative externalities through the employment of CCD. One recent example of this is through the mitigation of wind farm noise impacts (Cao et al, 2020). Noise generation and propagation are affected by the design of individual turbines, their placement in a farm relative to each other and a potential impact point, and how the turbines are operated throughout their lifetime.…”

Section: Wind Farm Ccd For Non-economic Objectivesmentioning

confidence: 99%

“…Noise generation and propagation are affected by the design of individual turbines, their placement in a farm relative to each other and a potential impact point, and how the turbines are operated throughout their lifetime. While Cao et al (2020) looked only at the layout influence on noise, allowing for varying operational strategies for noise along with the design optimization holds promise for further improvement of the economic performance of the farm while minimizing noise impacts. Other externalities to the environment and communities could be similarly addressed in CCD research.…”

Section: Wind Farm Ccd For Non-economic Objectivesmentioning

confidence: 99%

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Wind farm flow control: prospects and challenges

Bottasso²,

et al. 2022

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Abstract. Wind farm control has been a topic of research for more than two decades. It has been identified as a core component of grand challenges in wind energy science to support accelerated wind energy deployment and to transition to a clean and sustainable energy system for the 21st century. The prospect of collective control of wind turbines in an array, to increase energy extraction, reduce structural loads, improve the balance of systems, reduce operation and maintenance costs, etc. has inspired many researchers over the years to propose innovative ideas and solutions. However, practical demonstration and commercialization of some of the more advanced concepts has been limited by a wide range of challenges, which include the complex physics of turbulent flows in wind farms and the atmosphere, uncertainties related to predicting structural load and failure statistics, and the highly multi-disciplinary nature of the overall design optimization problem, among others. In the current work, we aim at providing a comprehensive overview of the state of the art and outstanding challenges, thus identifying the key research areas that could further enable commercial uptake and success of wind farm control solutions. To this end, we have structured the discussion on challenges and opportunities into four main areas: (1) insight in control flow physics, (2) algorithms and AI, (3) validation and industry implementation, and (4) integrating control with system design (co-design).

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Section: Wind Farm Ccd For Non-economic Objectivesmentioning

confidence: 99%

Section: Wind Farm Ccd For Non-economic Objectivesmentioning

confidence: 99%

Wind farm flow control: prospects and challenges

Bottasso²,

et al. 2022

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“…Recent research focused on multi-criteria wind farm design (Cao et al 2020) has shown that noise emissions can have a significant impact on wind plant layout. Considering results from this work and from other research in the literature suggests that multi-objective optimization and control strategies including wind plant controls and noise emissions may lead to improved wind plant performance.…”

Section: Wind-plant-level Researchmentioning

confidence: 99%

Aeroacoustic Assessment of Wind Plant Controls

Hamilton

Bortolotti

Jäger

et al. 2021

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“…This is done by letting each wind turbine in a wind farm individually switch to the optimal discrete operational mode. Previously, noise-constrained optimization has been performed through layout design of onshore wind farms (Tingey and Ning, 2017;Wu et al, 2020;Sorkhabi et al, 2016;Mittal et al, 2017;Cao et al, 2020). Furthermore, optimization of discrete design variables has previously been done through other layout optimization problems (Riva et al, 2020;Feng and Shen, 2017).…”

Section: Introductionmentioning

confidence: 99%

Optimization of wind farm operation with a noise constraint

et al. 2023

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Abstract. This article presents a method for performing noise-constrained optimization of wind farms by changing the operational modes of the individual wind turbines. The optimization is performed by use of the TopFarm optimization framework and wind farm flow modelling in PyWake as well as two sound propagation models: the ISO 9613-2 model and the parabolic equation model, WindSTAR. The two sound propagation models introduce different levels of complexity to the optimization problem, with the WindSTAR model taking a broader range of parameters, like the acoustic ground impedance, the complex terrain elevation and the flow field from the noise source to the receptor, into account. Wind farm optimization using each of the two sound propagation models is therefore performed in different atmospheric conditions and for different source/receptor setups, and compared through this study in order to evaluate the advantage of using a more complex sound propagation model. The article focuses on wind farms in flat terrain including dwellings at which the noise constraints are applied. By this, the study presents the significant gain in using a higher fidelity sound propagation model like WindSTAR over the simple ISO 9613-2 model in noise-constrained optimization of wind farms. Thus, in certain presented flow cases a power gain of up to ∼53 % is obtained by using WindSTAR to estimate the noise levels.

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Optimizing wind energy conversion efficiency with respect to noise: A study on multi-criteria wind farm layout design

Cited by 21 publications

References 43 publications

Wind farm flow control: prospects and challenges

Wind farm flow control: prospects and challenges

Aeroacoustic Assessment of Wind Plant Controls

Optimization of wind farm operation with a noise constraint

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