Wind measurements: Trimethyl aluminum (TMA) chemical release technique

2013 ◽  
pp. 47-51 ◽  
Author(s):  
M. F. Larsen
Keyword(s):  
Chemical Release ◽  
Release Technique ◽  
Wind Measurements ◽  
Trimethyl Aluminum

ANTHROPOGENIC AND ECONOMIC FACTORS OF THE СRIMEAN ECOLOGY

2020 ◽  
pp. 5-14
Author(s):  
N.P. Demchenko ◽  
N.Yu. Polyakova
Keyword(s):  
Business Owners ◽  
Crimean Peninsula ◽  
The North ◽  
Chemical Release ◽  
The Crimea ◽  
Russian Plant ◽  
The Republic ◽  
The Town ◽  
Integrated Indicators ◽  
The Crimean Peninsula

The situation in the ecology of the Crimean Peninsula in recent years was discussed in the article. The analysis of absolute and integrated indicators of the anthropogenic impact showed that the ecological situation remains difficult, and according to some indicators even continues to deteriorate. In summer 2018, the situation had worsened because of the large chemical release of titanium dioxide on the north of the Crimea from the holding pond of a large Russian plant that is situated near the town of Armyansk. This, in turn, led to the contamination of the large territory on the north of the peninsula. This fact indicates insufficient control by officials of the Republic of Crimea over the implementation of the RF laws for environmental protection by business owners of various forms of ownership, especially private ownership, the level of responsibility for the environment of which is very low.

scholarly journals Suprascapular Nerve Release: Technique Based on Anatomic Landmarks

2021 ◽  
Vol 10 (2) ◽  
pp. e469-e473
Author(s):  
Guillermo Arce ◽  
Angel Calvo ◽  
Pau Golano
Keyword(s):  
Suprascapular Nerve ◽  
Anatomic Landmarks ◽  
Release Technique ◽  
Nerve Release

Hub height optimisation of commercial WTGs based on accurate wind resource analysis

2021 ◽  
pp. 0309524X2110227
Author(s):  
Kyle O Roberts ◽  
Nawaz Mahomed
Keyword(s):  
Power Generation ◽  
Wind Turbine ◽  
Wind Power ◽  
Capacity Factor ◽  
Resource Analysis ◽  
Wind Speeds ◽  
Unique Maximum ◽  
Wind Measurements ◽  
Generation Capacity ◽  
Wind Resource

Wind turbine selection and optimal hub height positioning are crucial elements of wind power projects. However, in higher class wind speeds especially, over-exposure of wind turbines can lead to a reduction in power generation capacity. In this study, wind measurements from a met mast were validated according to specifications issued by IRENA and NREL. As a first step, it is shown that commercial WTGs from a database may be matched to the wind class and turbulence intensity. Secondly, a wind turbine selection algorithm, based on maximisation of capacity factor, was implemented across the range of WTGs. The selected WTGs were further exposed to an iterative algorithm using pointwise air density and wind shear coefficients. It is shown that a unique maximum capacity factor, and hence wind power generation, exists for a wind turbine, premised on its eventual over-exposure to the wind resource above a certain hub height.

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