Results 61 to 70 of about 6,815,005 (225)
南方能源建设[Introduction] The main shafting structure with double supports of single row tapered roller bearings has been widely used in wind turbines, and determining the appropriate bearing operating clearance is crucial for the reliable operation of bearings and
Zhongjie BU +5 more
doaj +1 more source
A Nonparametric Bayesian Framework for Short-Term Wind Power Probabilistic Forecast
IEEE Transactions on Power Systems, 2019 To improve the energy system resilience and economic efficiency, the wind power as a renewable energy starts to be deeply integrated into smart power grids. However, the wind power forecast uncertainty brings operational challenges. In order to provide a
Wei Xie, Pu Zhang, Rong Chen, Zhi Zhou
semanticscholar +1 more source
Integrative Density Forecast and Uncertainty Quantification of Wind Power Generation [PDF]
arXiv, 2018 The volatile nature of wind power generation creates challenges in achieving secure power grid operations. It is, therefore, necessary to make accurate wind power prediction and its uncertainty quantification. Wind power forecasting usually depends on wind speed prediction and the wind-to-power conversion process.
arxiv
Geophysical constraints on the reliability of solar and wind power in the United States
, 2018 We analyze 36 years of global, hourly weather data (1980–2015) to quantify the covariability of solar and wind resources as a function of time and location, over multi-decadal time scales and up to continental length scales.
Matthew Shaner +3 more
semanticscholar +1 more source
A simple method to downscale daily wind statistics to hourly wind data [PDF]
arXiv, 2013 Wind is the principal driver in the wind erosion models. The hourly wind speed data were generally required for precisely wind erosion modeling. In this study, a simple method to generate hourly wind speed data from daily wind statistics (daily average and maximum wind speeds together or daily average wind speed only) was established. A typical windy
arxiv
Very short-term spatial and temporal wind power forecasting: A deep learning approach
CSEE Journal of Power and Energy Systems, 2019 In power systems that experience high penetration of wind power generation, very short-term wind power forecast is an important prerequisite for look-ahead power dispatch.
Tianyu Hu +5 more
semanticscholar +1 more source
Hydrogen Liquefaction Process with Mixed Refrigerant Pre-cooling [PDF]
E3S Web of ConferencesA novel hydrogen liquefaction process based on precooled mixed refrigerant is proposed in this paper. The specific energy and the exergy loss are also analyzed.
Liu Zilong, Zhao Lianpeng, Feng Yangmin
doaj +1 more source
Polish Maritime Research, 2022 In order to ease consequences of spudcan-footprint interactions during jack-up rigs reinstalling in the vicinity of an existing seabed footprint, three new types of spudcan shapes, that is, a lotus-shaped spudcan with six circular holes, a flat-bottomed ...
Yu Huafeng +3 more
doaj +1 more source
State-of-the-art review on frequency response of wind power plants in power systems
, 2018 With an increasing penetration of wind power in the modern electrical grid, the increasing replacement of large conventional synchronous generators by wind power plants will potentially result in deteriorated frequency regulation performance due to the ...
Ziping Wu +6 more
semanticscholar +1 more source
Wind Farm Icing Loss Forecast Pertinent to Winter Extremes [PDF]
arXiv, 2021 The 2021 Texas power crisis has highlighted the vulnerability of the power system under wind extremes, particularly with the increasing penetration of energy resources that depend on weather conditions (e.g., wind energy). The current wind power forecast models do not effectively consider the impact of such extreme weather events. In the present study,
arxiv