scholarly journals Evaluation model of wind energy resources and utilization efficiency of wind farm

2018 ◽  
Author(s):  
Jie Ma
Keyword(s):  
Wind Energy ◽  
Wind Farm ◽  
Evaluation Model ◽  
Energy Resources ◽  
Utilization Efficiency ◽  
Wind Energy Resources

scholarly journals Evaluation and Prediction of Wind Power Utilization Efficiency Based on Super-SBM and LSTM Models: A Case Study of 30 Provinces in China

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Chengyu Li ◽  
Qunwei Wang ◽  
Peng Zhou
Keyword(s):  
Wind Energy ◽  
Wind Power ◽  
South China ◽  
Regional Differences ◽  
Development Trend ◽  
Energy Resources ◽  
Utilization Efficiency ◽  
Central China ◽  
East China ◽  
Wind Energy Resources

Although China’s wind industry has made great progress in recent years, the wind abandonment phenomenon caused by the unbalanced development of regional wind power is still prominent. It is particularly important for the scientific development of wind power to accurately measure the utilization efficiency of wind power and understand its regional differences in China. This study establishes the improved super-efficiency slack-based measure (Super-SBM) model and long short-term memory (LSTM) network models, systematically and comprehensively measures and predicts the wind power utilization efficiency of 30 regions in China from 2013 to 2020, and explores regional differences in wind power utilization efficiency. Our results show the following: (1) China’s overall wind power utilization efficiency is relatively low but has been on a steady upward trend since 2013. (2) Regional differences are obvious, showing that the spatial distribution pattern of wind power utilization efficiency is greatest in Northeast China, followed by North China, East China, South China, Northwest China, and Central China. The “Three-North” region with abundant wind energy resources has relatively high wind power utilization efficiency and exhibits a good development trend. East China, South China, and Central China, where wind energy resources are relatively poor, have low wind power utilization efficiency, and their development trends are not stable and are more prone to change. (3) The utilization efficiency of wind power in coastal areas is generally better than that in inland areas. There are also differences among the thirty Chinese regions studied. Inner Mongolia and Shandong have achieved real efficiency in wind power utilization efficiency, with optimal allocation of input and output, and a good development trend. The other 28 regions have varying degrees of inefficiency, and there is still room for improvement.

scholarly journals OFFSHORE WIND ENERGY RESOURCE ASSESSMENT IN MALAYSIA WITH SATELLITE ALTIMETRY

2020 ◽  
Vol 15 (6) ◽  
pp. 111-124
Author(s):  
FARAH ELLYZA HASHIM ◽  
◽  
OSCAR PEYRE ◽  
SARAH JOHNSON LAPOK ◽  
OMAR YAAKOB ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Satellite Altimetry ◽  
Wind Farm ◽  
Energy Resource ◽  
Energy Resources ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Offshore Wind Farm ◽  
Wind Energy Resources

Realistic view on the potential of offshore wind farm development in Malaysia is necessary and requires accurate and wide coverage of wind speed data. Long term global datasets of satellite altimetry of wind speed provide a potentially valuable resource to identify the potential of offshore wind energy in Malaysia. This paper presents three different assessments of offshore wind energy resources in Malaysia using satellite altimetry. The wind speed data obtained from Radar Altimeter Database System (RADS) were validated and identified to be in agreement with previous studies. The resources were then assessed at three different levels; theoretical, technical and practical offshore wind energy potential. The technical resource potential was assessed by taking into consideration the available offshore wind turbine technology. Conflicting uses and environmental constraints that define the practical offshore wind energy resources are plotted on the maps to present a practicality of offshore wind farm development in Malaysian sea. The study concluded that, in theoretical view, Malaysia does have potential of offshore wind energy resource especially in Borneo Water with average annual wind energy density above 500 kWh/m2. However, the development of offshore wind farm in Malaysia will be difficult taking into consideration the technical and practical challenge.

scholarly journals Rejoinder to the discussion on A high‐resolution bilevel skew‐ t stochastic generator for assessing Saudi Arabia's wind energy resources

2020 ◽  
Vol 31 (7) ◽  
Author(s):  
Felipe Tagle ◽  
Marc G. Genton ◽  
Andrew Yip ◽  
Suleiman Mostamandi ◽  
Georgiy Stenchikov ◽  
...  
Keyword(s):  
High Resolution ◽  
Wind Energy ◽  
Energy Resources ◽  
Wind Energy Resources

Assessment of wind energy resources in the urat area using optimized weibull distribution

2021 ◽  
Vol 47 ◽  
pp. 101351
Author(s):  
Jianxiong Wan ◽  
Fengfeng Zheng ◽  
Haolun Luan ◽  
Yi Tian ◽  
Leixiao Li ◽  
...  
Keyword(s):  
Wind Energy ◽  
Weibull Distribution ◽  
Energy Resources ◽  
Wind Energy Resources

scholarly journals An Analysis of Wind Energy Resources using Synoptic Observational Data in North Korea

2010 ◽  
Vol 31 (3) ◽  
pp. 225-233 ◽  
Author(s):  
Jun-Hee Yun ◽  
Eun-Kyoung Seo ◽  
Young-San Park ◽  
Hak-Seong Kim
Keyword(s):  
Wind Energy ◽  
Observational Data ◽  
North Korea ◽  
Energy Resources ◽  
Wind Energy Resources
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