Progress on Offshore Wind Farm Dynamic Wake Management for Energy

Zhao, Liye; Xue, Lei; Li, Zhiqian; Wang, Jundong; Yang, Zhichao; Xue, Yu

doi:10.3390/jmse10101395

Cited by 12 publications

(5 citation statements)

References 129 publications

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“…Enhanced integration, efficiency, and cost-effectiveness, mitigating overload issues during EV charging. [22,23] Solar-wind energy characterization Hourly time-series meteorological data for onshore and offshore sites Explore spatiotemporal variability and complementarity of solar and wind energy potential in China…”

Section: Assessment Of Inter-annual Variability and Trends In Wind En...mentioning

confidence: 99%

Hybrid Wind/PV E-Bike Charging Station: Comparison of Onshore and Offshore Systems

Afzal,

Zhao,

Chen

et al. 2023

Sustainability

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The concept behind this research article is advancement towards utilizing renewable energy sources of wind–solar to generate electrical energy for E-bike (electric bike) charging stations. To optimize the design and operation control of the wind–solar E-bike charging station system, the development of modelling this hybrid power generation system, consisting of solar and wind energy combined with battery storage, is proposed and will be studied in this paper. A university campus setting is utilized for the case study by comparing offshore (Huangdao) and onshore (Laoshan) sites. The proposed research will focus on annual energy production (AEP) and system cost analysis. The proposed work’s main objectives are to analyze the wind/solar properties of the installation’s location using the last 20 years’ data, calculate the AEP for wind turbines and solar PV, and estimate how many E-bikes can be charged day/year with reliable operation. We have calculated that the hybrid power available is 27.08 kWh/day offshore and 22 kWh/day onshore. This research study concludes that on average, based on AEP, in the case of offshore, 5110 E-bikes can be charged per year and in the case of onshore, 4015 E-bikes can be charged per year. We have also calculated the COE (cost of energy) for 20 years for the proposed project, which is $0.62/kWh onshore and $0.46/kWh offshore.

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Section: Assessment Of Inter-annual Variability and Trends In Wind En...mentioning

confidence: 99%

Hybrid Wind/PV E-Bike Charging Station: Comparison of Onshore and Offshore Systems

Afzal,

Zhao,

Chen

et al. 2023

Sustainability

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“…Ref. [86] reviewed the progress of dynamic wake-up management for offshore wind farms and analyzed its impact on energy harvesting and load reduction. Ref.…”

Section: Progress and Future Directionsmentioning

confidence: 99%

Comprehensive Analysis and Evaluation of the Operation and Maintenance of Offshore Wind Power Systems: A Survey

Yang

Jia

et al. 2023

Energies

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Offshore Wind Power Systems (OWPS) offer great energy and environmental advantages, but also pose significant Operation and Maintenance (O&M) challenges. In this survey, we analyze these challenges and propose some optimization strategies and technologies for OWPS comprehensively. The existing literature review mainly focuses on a certain field of offshore wind power O&M, but lacks a comprehensive introduction to offshore wind power. We consider the energy efficiency, reliability, safety, and economy of OWPS from various aspects, such as offshore wind and wave energy utilization, offshore wind turbine components, and wind power operation parameters, and compare them with onshore wind power systems. We suggest that OWPS can benefit from advanced design optimization, digital twin, monitoring and forecasting, fault diagnosis, and other technologies to enhance their O&M performance. This paper aims to provide theoretical guidance and practical reference for the technological innovation and sustainable development of OWPS.

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“…Offshore wind power is undergoing rapid development, with growing attention directed towards the notable issue of wake interference [1]. Wake disturbances present substantial challenges to the secure, stable, and efficient functioning of wind farms [2,3].…”

Section: Introductionmentioning

confidence: 99%

Rapid Estimation Model for Wake Disturbances in Offshore Floating Wind Turbines

Zhao,

Gong,

et al. 2024

JMSE

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The precise wake model is crucial for accurately estimating wind farm loads and power, playing a key role in wake control within wind farms. This study proposes a segmented dual-Gaussian wake model, which is built upon existing dual-Gaussian wake models but places greater emphasis on the influence of initial wake generation and evolution processes on the wind speed profile in the near-wake region. The enhanced model optimizes the wake speed profile in the near-wake region and improves the accuracy of wake diffusion throughout the entire flow field. Furthermore, the optimized dual-Gaussian wake model is utilized to estimate the power output and blade root vibration loads in offshore wind farms. Through comparative analysis of high-fidelity simulation results and actual measurement data, the accuracy of the optimized dual-Gaussian wake model is validated. This approach offers high computational efficiency and provides valuable insights for load fluctuations and power estimation, thereby advancing the development of wake control strategies rapidly.

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Progress on Offshore Wind Farm Dynamic Wake Management for Energy

Cited by 12 publications

References 129 publications

Hybrid Wind/PV E-Bike Charging Station: Comparison of Onshore and Offshore Systems

Hybrid Wind/PV E-Bike Charging Station: Comparison of Onshore and Offshore Systems

Comprehensive Analysis and Evaluation of the Operation and Maintenance of Offshore Wind Power Systems: A Survey

Rapid Estimation Model for Wake Disturbances in Offshore Floating Wind Turbines

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