A framework for preliminary large-scale urban wind energy potential assessment: Roof-mounted wind turbines

2021 ◽

Vol 15 ◽

pp. 124-131

Author(s):

Ighball Baniasad Askari ◽

Lina Baniasad Askari ◽

Mohammad Mehdi Kaykhah

Keyword(s):

Wind Energy ◽

Wind Turbines ◽

Large Scale ◽

Small Scale ◽

Energy Potential ◽

Wind Speeds ◽

Wind Energy Potential ◽

Wind Characteristics ◽

Technical Assessment

Wind data collected of the three synoptic sites for the period of Jul 2006 to Jun 2008 at the height of 40 m has been used to study the wind characteristics, monthly and annual wind energy potential for three agricultural districts in Kerman ( 30°15/N, 56°58/E ), Iran. Two statistical methods (Meteorological and Weibull) have been applied to determine the wind characteristics. Wind energy density, mean wind speeds and wind speed directions have been investigated. A technical assessment has been done and the electricity generation from five different wind turbines having capacity of (26 kW, 100 kW, 300 kW, 600 kW and 660 kW) has been calculated. The results show that all the locations studied are not suitable for electric wind application in a large-scale.

Download Full-text

Determination of Tekirdağ (Turkey) wind energy potential and evaluation of selected wind turbines in terms of techno-economic and environmental aspects

Journal of Renewable and Sustainable Energy ◽

10.1063/5.0053871 ◽

2021 ◽

Vol 13 (3) ◽

pp. 033309

Author(s):

Aytac Perihan Akan ◽

Ahmet Erhan Akan

Keyword(s):

Wind Energy ◽

Wind Turbines ◽

Environmental Aspects ◽

Energy Potential ◽

Wind Energy Potential

Download Full-text

A spatially explicit assessment of the wind energy potential in response to an increased distance between wind turbines and settlements in Germany

Energy Policy ◽

10.1016/j.enpol.2016.07.021 ◽

2016 ◽

Vol 97 ◽

pp. 343-350 ◽

Cited By ~ 9

Author(s):

Frank Masurowski ◽

Martin Drechsler ◽

Karin Frank

Keyword(s):

Wind Energy ◽

Wind Turbines ◽

Spatially Explicit ◽

Energy Potential ◽

Wind Energy Potential

Download Full-text

The impact of atmospheric circulation on wind energy resource using self-organizing maps

10.5194/egusphere-egu21-3339 ◽

2021 ◽

Author(s):

Kostas Philippopoulos ◽

Chris G. Tzanis

Keyword(s):

Wind Speed ◽

Wind Energy ◽

Atmospheric Circulation ◽

Large Scale ◽

Synoptic Climatology ◽

Energy Potential ◽

Self Organizing Maps ◽

Wind Energy Potential ◽

The Impact ◽

Self Organizing

<p>The sensitivity of wind to the Earth&#8217;s energy budget and the changes it causes in the climate system has a significant impact on the wind energy sector. The scope of this work is to examine the association of atmospheric circulation with the wind speed distribution characteristics on different timescales over Greece. Emphasis is given to the effect of specific regimes on the wind speed distributions at different locations. The work is based on using synoptic climatology as a tool for providing information regarding wind variability. This approach allows a more detailed description of the effect of changes in large-scale atmospheric circulation on wind energy potential. The atmospheric classification methodology, upon the selection of relevant atmospheric variables and domains, includes a Principal Components Analysis for dimension reduction purposes and subsequently, the classification is performed using an artificial neural network and in particular self-organizing maps. In the resulting feature map, the neighboring nodes are inter-connected and each one is associated with the composites of the selected large-scale variables. Upon the assignment and the characterization of each day in one of the resulting patterns, a daily catalog is constructed and frequency analysis is performed. In the context of estimating wind energy potential variability for each atmospheric pattern, the fit of multiple probability functions to the surface wind speed frequency distributions is performed. The most suitable function is selected based on a set of difference and correlation statistical measures, along with the use of goodness-of-fit statistical tests. The study employs the ERA5 reanalysis dataset with a 0.25&#176; spatial resolution from 1979/01/01 up to 2019/12/31 and the wind field data are extracted at the 10m and the 100m levels. The approach could be valuable to the wind energy industry and can provide the required scientific understanding for the optimal siting of Wind Energy Conversion Systems considering the atmospheric circulation and the electricity interconnection infrastructure in the region. Considering the emerging issue of energy safety, accurate wind energy production estimates can contribute towards the establishment of wind as the primary energy source and in meeting the increasing energy demand.</p>

Download Full-text

Prospects for the Wind Energy Use for Power and Heat Supply to Decentralized Consumers in the Western Sector of the Russian Arctic

Journal of Physics Conference Series ◽

10.1088/1742-6596/2096/1/012111 ◽

2021 ◽

Vol 2096 (1) ◽

pp. 012111

Author(s):

V A Minin ◽

S I Krivtsov

Keyword(s):

Wind Energy ◽

Wind Turbines ◽

Heat Supply ◽

Power Plants ◽

Energy Use ◽

The Arctic ◽

Russian Arctic ◽

Energy Potential ◽

Western Sector ◽

Wind Energy Potential

Abstract An issue of the possible involvement of wind turbines in the power and heat supply of remote dispersed consumers in the Arctic (meteorological stations, lighthouses, border outposts, army and navy facilities, hunting seats, fishermen and geophysical explorers’ bases, etc.) is considered. The need for the functioning of the consumers remains in the long term. The study of the wind energy potential in the western sector of the Russian Arctic showed emerging prerequisites to be favourable for the efficient use of this renewable energy source in the coastal areas of the Barents and White Seas. Average annual wind speed at a height of 10 m in the areas mentioned are 6-8 m/s. There is a pronounced seasonal wind intensity maximum, which coincides with the seasonal maximum of the consumer’s demand for power and heat. Exemplified by facilities located in the coastal Kola Peninsula, it is shown that it is possible to save a significant amount of expensive imported fuel combusted at diesel power plants and boiler rooms, and thereby to reduce the generated electricity and heat costs by 25-40%, when implementing wind turbines.

Download Full-text