Evaluation of wind energy resource and wind turbine characteristics at two locations in China

Li, Chong; Liu, Youying; Li, Gang; Li, Jianyan; Zhu, Daochen; Jia, Wenhua; Guo, Li; Zhi, Youran; Zhai, Xinyu

doi:10.1016/j.techsoc.2016.09.003

Cited by 31 publications

(21 citation statements)

References 24 publications

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“…Similarly, Li et al analysed two sites in China following Table 5 and concluded that the first, Urumqi, was not suitable for largescale electric wind-power application, although wind-hybrid power systems or small scale wind turbines may be implemented for lighting, chargers or electric fans [70]. The other site, Xining, was suitable for medium scale wind turbines.…”

Section: Wind Power Densitymentioning

confidence: 99%

Wind speed description and power density in northern Spain

Herrero-Novoa

Pérez

Sánchez

et al. 2017

Energy

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Wind resources are increasingly being investigated as a clean alternative for generating energy. This paper analyses the daily wind speed recorded at 46 automatic weather stations located in Navarre, northern Spain, in 2005e2015. Key points are the surface density of stations and the range of time that ensure a faithful depiction of wind speed together with surface calculations from image analysis and correlation with height. Different statistics were used. Median wind speed at 10 m was low, about 3.3 m s À1 and its interquartile range was narrow, about 2.3 m s À1. Nearly half the surface shows a median wind speed above 3.0 m s À1. The method of moments was employed to calculate the parameters of the Weibull distribution. Around half of the surface presented a shape parameter above 2.25 and the scale parameter was above 4 m s À1 for nearly 41% of the region. Although wind resources are not suitable for wind turbine applications in most of the region, since the wind speed is low in low-lying areas, about 12% of the region is suitable for stand-alone applications and, moreover, a substantial part of the region, around 23%, presents satisfactory wind resources for the installation of wind turbines.

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Section: Wind Power Densitymentioning

confidence: 99%

Wind speed description and power density in northern Spain

Herrero-Novoa

Pérez

Sánchez

et al. 2017

Energy

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“…2, is considered in this system. The WT has a rated power of 30 kW AC and a hub altitude of 27 m [62]. In order to normalize the wind speed profile, measured at the height of ℎ !…”

Section: Wind Turbinementioning

confidence: 99%

Economic viability assessment of sustainable hydrogen production, storage, and utilisation technologies integrated into on- and off-grid micro-grids: A performance comparison of different meta-heuristics

Mohseni

2020

International Journal of Hydrogen Energy

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In recent years, there has been considerable interest in the development of zero-emissions, sustainable energy systems utilising the potential of hydrogen energy technologies. However, the improper long-term economic assessment of costs and consequences of such hydrogen-based renewable energy systems has hindered the transition to the so-called hydrogen economy in many cases. One of the main reasons for this is the inefficiency of the optimization techniques employed to estimate the whole-life costs of such systems. Owing to the highly nonlinear and non-convex nature of the life-cycle cost optimization problems of sustainable energy systems using hydrogen as an energy carrier, metaheuristic optimization techniques must be utilised to solve them. To this end, using a specifically developed artificial intelligence-based micro-grid capacity planning method, this paper examines the performances of twenty metaheuristics in solving the optimal design problems of three conceptualised hydrogen-based micro-grids, as test-case systems. Accordingly, the obtained numeric simulation results using MATLAB indicate that some of the newly introduced meta-heuristics can play a key role in facilitating the successful, cost-effective development and implementation of hydrogen supply chain models. Notably, the moth-flame optimization algorithm is found capable of reducing the life-cycle costs of micro-grids by up to 6.5% as compared to the dragonfly algorithm.

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“…The papers researched were analysis of countries such as Nigeria [14] [15] , China [16] and India [17] have been undertaken to determine the efficiency of different onshore locations to place HAWTs. The papers use a combined method of mathematically computing the Weibull parameters, detailed in 3.1.1, taking field data of the wind speeds over a period and borrowing information from certain agency such as the Nigerian Meteorological Agency (NIMET) [15] .…”

Section: Efficiency Of Onshore Horizontal Axis Wind Turbinesmentioning

confidence: 99%

“…Equation 6 [16] ρ is the air density at the wind turbine (kg/m Equation 7 [16] P(v) is the wind power calculated from before as well A equating to the area of the blades. f(v)dv is the Weibull function and these values are integrated from zero to infinity.…”

Section: Wind Powermentioning

confidence: 99%

Efficiency comparison of horizontal axis wind turbines and bladeless turbines

Bardakjian

Mandadakis

Tingle

2017

PAMR

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The purpose of this meta study is to determine whether bladeless wind turbines are more efficient than horizontal axis wind turbines. Using resources such as research papers, online articles and academic papers from different academic databases provided by UTS library, a comparison between these wind turbines was constructed. Using Weibull’s equation, it was found that horizontal axis wind turbines are still more efficient. Although bladeless are more cost efficient, offshore horizontal axis wind turbines produce more energy at lower wind speeds, due to the ratio between power usage to power output of approximately 80% for bladed turbines and approximately 70% for bladeless turbines. More research needs to be done on how to increase the efficiency of these wind turbines.

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Evaluation of wind energy resource and wind turbine characteristics at two locations in China

Cited by 31 publications

References 24 publications

Wind speed description and power density in northern Spain

Wind speed description and power density in northern Spain

Economic viability assessment of sustainable hydrogen production, storage, and utilisation technologies integrated into on- and off-grid micro-grids: A performance comparison of different meta-heuristics

Efficiency comparison of horizontal axis wind turbines and bladeless turbines

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