Research on Wind Turbine Location and Wind Energy Resource Evaluation Methodology in Port Scenarios

Sustainability, Journal Year: 2024, Volume and Issue: 16(3), P. 1074 - 1074

Published: Jan. 26, 2024

Wind energy is widely distributed in China as a renewable source. Aiming to alleviate the issues resulting from fossil fuel consumption faced by developing and developed countries (e.g., climate change) meet development needs, this study innovatively proposed methods for location selection of wind farms turbines port areas based on fuzzy comprehensive evaluation method. Considering that turbine crucial power generation, paper focuses locating within specific set sea ports. The primary objectives are evaluate potential generation under different scenarios develop method assessing resources farm areas. Firstly, identifying boundaries at Furthermore, used National Aeronautics Space Administration (NASA) speed database test with real-world projects Ports Tianjin, Shanghai, Xiamen, Shenzhen, Hainan, which top ports five major coastal clusters China. It found capacity above 30.71 GWh, 19.82 16.72 29.45 24.42 respectively. Additionally, sensitive results types conducted following experiment. fundamental enriching research evaluating promoting use clean practical environments. Further, essential optimizing construction turbines, may help adopting low-carbon green path, thereby mitigating air pollution, sustainable development.

Language: Английский

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A framework of data assimilation for wind flow fields by physics-informed neural networks

Applied Energy, Journal Year: 2024, Volume and Issue: 371, P. 123719 - 123719

Published: June 20, 2024

Language: Английский

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Effects of sea-land breeze on air pollutant dispersion in street networks with different distances from coast using WRF-CFD coupling method

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 115, P. 105757 - 105757

Published: Sept. 19, 2024

Language: Английский

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An AI-based weather prediction method for wind farms combining global forecast field and wind speed temporal transfer characteristics

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136740 - 136740

Published: May 1, 2025

Language: Английский

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Wind Shear Model Considering Atmospheric Stability to Improve Accuracy of Wind Resource Assessment

Processes, Journal Year: 2024, Volume and Issue: 12(5), P. 954 - 954

Published: May 8, 2024

An accurate wind shear model is an important prerequisite in extrapolating the resource from lower heights to increasing hub height of turbines. Based on 1-year dataset (collected 2014) consisting 15-minute intervals collected at 2, 10, 50, 100, and 150 m anemometer tower northern China, present study focuses time-varying relationship between coefficient (WSC) atmospheric stability proposes a considering stability. Through Monin–Obukhov (M-O) length gradient Richardson number, M-O directly calculated by data, WSC combining Panofsky Dutton (PD) models, which enhances engineering practicability model. Then, performance quantified compared with two alternative methods: use annual average change extrapolation. The analysis demonstrates that proposed outperforms other approaches terms normal root mean square error (NRMSE) bias (NB). More specifically, this method reduces NRMSE NB 24–29% 76–95%, respectively. Meanwhile, it reaches highest extrapolation accuracy under unstable stable conditions. results are verified using Weibull distribution.

Language: Английский

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A high-altitude wind resource assessment method for decentralized wind power based on improved linear regression

Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 121968 - 121968

Published: Nov. 1, 2024

Language: Английский

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A Bayesian Deep Learning-Based Adaptive Wind Farm Power Prediction Method Within the Entire Life Cycle

IEEE Transactions on Sustainable Energy, Journal Year: 2024, Volume and Issue: 15(4), P. 2663 - 2674

Published: July 30, 2024

Language: Английский

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Derivation and Lidars-Based Validation of a Novel 3djg-Ct Wake Model Combined with Cfd Simulation for Turbines in Complex Terrain Wind Farm

Published: Jan. 1, 2023

The topology anisotropy of complex terrain has a tremendous impact on the 3D wake characteristics in real wind farm. To efficiently and precisely evaluate effect development, new three-dimensional Jensen-Gaussian model for (3DJG-CT) was proposed, which evolved from 3DJG-U with two improved assumptions combined CFD simulation. centerline is determined by velocity components (ux, uy, uz) extracted simulation results background flow field, also provide local Ulocal (x, y, z) to replace shear inflow our previous 3DJG model. Two phases field measurement were conducted detect characteristics. Comprehensive analysis measured data reveals development. By comparing predictions 3DJG-CT models data, show that good performance profile prediction terrain. downstream deficits may be larger than upstream region due hill-blocking effect, opposite situation flat velocities at hub height 5.5D 7D increased 13.12% 8.27% speed-up effect. Better quantification can supplied this study.

Language: Английский

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Post Assessment Method of Wind Farms’ Performance Based on Terrain and Wake Effect

Published: Dec. 8, 2023

There are some inefficient turbines in active wind farms, which affect the performance and normal benefits of farms. In view above problems, a farm post assessment was proposed, low-efficiency defined determined with low efficacy factors been analyzed. The proposed method applied actual Hebbei. First all, based on speed power generation. data shows that there 3 out 19 farm. Then, shear formula is used to calculate converted each turbine, relative error between measured judged be consistent height turbine tower. results show two affected by wake. Finally, wake model verify turbines, calculated values were good agreement values, proving effectiveness method. This study can provide certain post-field evaluation for in-service farms guidance operation maintenance strategies

Language: Английский

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