Comparison of seven methods for determining the optimal statistical distribution parameters: A case study of wind energy assessment in the large-scale wind farms of China

Energy ◽  
2018 ◽  
Vol 164 ◽  
pp. 432-448 ◽  
Author(s):  
Jianzhou Wang ◽  
Xiaojia Huang ◽  
Qiwei Li ◽  
Xuejiao Ma
Author(s):  
I. Janajreh ◽  
C. Ghenai

Large scale wind turbines and wind farms continue to evolve mounting 94.1GW of the electrical grid capacity in 2007 and expected to reach 160.0GW in 2010 according to World Wind Energy Association. They commence to play a vital role in the quest for renewable and sustainable energy. They are impressive structures of human responsiveness to, and awareness of, the depleting fossil fuel resources. Early generation wind turbines (windmills) were used as kinetic energy transformers and today generate 1/5 of the Denmark’s electricity and planned to double the current German grid capacity by reaching 12.5% by year 2010. Wind energy is plentiful (72 TW is estimated to be commercially viable) and clean while their intensive capital costs and maintenance fees still bar their widespread deployment in the developing world. Additionally, there are technological challenges in the rotor operating characteristics, fatigue load, and noise in meeting reliability and safety standards. Newer inventions, e.g., downstream wind turbines and flapping rotor blades, are sought to absorb a larger portion of the cost attributable to unrestrained lower cost yaw mechanisms, reduction in the moving parts, and noise reduction thereby reducing maintenance. In this work, numerical analysis of the downstream wind turbine blade is conducted. In particular, the interaction between the tower and the rotor passage is investigated. Circular cross sectional tower and aerofoil shapes are considered in a staggered configuration and under cross-stream motion. The resulting blade static pressure and aerodynamic forces are investigated at different incident wind angles and wind speeds. Comparison of the flow field results against the conventional upstream wind turbine is also conducted. The wind flow is considered to be transient, incompressible, viscous Navier-Stokes and turbulent. The k-ε model is utilized as the turbulence closure. The passage of the rotor blade is governed by ALE and is represented numerically as a sliding mesh against the upstream fixed tower domain. Both the blade and tower cross sections are padded with a boundary layer mesh to accurately capture the viscous forces while several levels of refinement were implemented throughout the domain to assess and avoid the mesh dependence.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Farzad Arefi ◽  
Jamal Moshtagh ◽  
Mohammad Moradi

In the current work by using statistical methods and available software, the wind energy assessment of prone regions for installation of wind turbines in, Qorveh, has been investigated. Information was obtained from weather stations of Baneh, Bijar, Zarina, Saqez, Sanandaj, Qorveh, and Marivan. The monthly average and maximum of wind speed were investigated between the years 2000–2010 and the related curves were drawn. The Golobad curve (direction and percentage of dominant wind and calm wind as monthly rate) between the years 1997–2000 was analyzed and drawn with plot software. The ten-minute speed (at 10, 30, and 60 m height) and direction (at 37.5 and 10 m height) wind data were collected from weather stations of Iranian new energy organization. The wind speed distribution during one year was evaluated by using Weibull probability density function (two-parametrical), and the Weibull curve histograms were drawn by MATLAB software. According to the average wind speed of stations and technical specifications of the types of turbines, the suitable wind turbine for the station was selected. Finally, the Divandareh and Qorveh sites with favorable potential were considered for installation of wind turbines and construction of wind farms.


2019 ◽  
Vol 112 ◽  
pp. 02011
Author(s):  
Cristian-Gabriel Alionte ◽  
Daniel-Constantin Comeaga

The importance of renewable energy and especially of eolian systems is growing. For this reason, we propose the investigation of an important pollutant - the noise, which has become so important that European Commission and European Parliament introduced Directive 2002/49/CE relating to the assessment and management of environmental noise. So far, priority has been given to very large-scale systems connected to national energy systems, wind farms whose highly variable output power could be regulated by large power systems. Nowadays, with the development of small storage capacities, it is feasible to install small power wind turbines in cities of up to 10,000 inhabitants too. As a case study, we propose a simulation for a rural locality where individual wind units could be used. This specific case study is interesting because it provides a new perspective of the impact of noise on the quality of life when the use of this type of system is implemented on a large scale. This option, of distributed and small power wind turbine, can be implemented in the future as an alternative or an adding to the common systems.


2018 ◽  
Vol 211 ◽  
pp. 492-512 ◽  
Author(s):  
Jianzhou Wang ◽  
Tong Niu ◽  
Haiyan Lu ◽  
Zhenhai Guo ◽  
Wendong Yang ◽  
...  

2020 ◽  
Vol 13 (10) ◽  
pp. 4993-5005
Author(s):  
Axel Kleidon ◽  
Lee M. Miller

Abstract. With the current expansion of wind power as a renewable energy source, wind turbines increasingly extract kinetic energy from the atmosphere, thus impacting its energy resource. Here, we present a simple, physics-based model (the Kinetic Energy Budget of the Atmosphere; KEBA) to estimate wind energy resource potentials that explicitly account for this removal effect. The model is based on the regional kinetic energy budget of the atmospheric boundary layer that encloses the wind farms of a region. This budget is shaped by horizontal and vertical influx of kinetic energy from upwind regions and the free atmosphere above, as well as the energy removal by the turbines, dissipative losses due to surface friction and wakes, and downwind outflux. These terms can be formulated in a simple yet physical way, yielding analytic expressions for how wind speeds and energy yields are reduced with increasing deployment of wind turbines within a region. We show that KEBA estimates compare very well to the modelling results of a previously published study in which wind farms of different sizes and in different regions were simulated interactively with the Weather Research and Forecasting (WRF) atmospheric model. Compared to a reference case without the effect of reduced wind speeds, yields can drop by more than 50 % at scales greater than 100 km, depending on turbine spacing and the wind conditions of the region. KEBA is able to reproduce these reductions in energy yield compared to the simulated climatological means in WRF (n=36 simulations; r2=0.82). The kinetic energy flux diagnostics of KEBA show that this reduction occurs because the total yield of the simulated wind farms approaches a similar magnitude as the influx of kinetic energy. Additionally, KEBA estimates the slowing of the region's wind speeds, the associated reduction in electricity yields, and how both are due to the depletion of the horizontal influx of kinetic energy by the wind farms. This limits typical large-scale wind energy potentials to less than 1 W m−2 of surface area for wind farms with downwind lengths of more than 100 km, although this limit may be higher in windy regions. This reduction with downwind length makes these yields consistent with climate-model-based idealized simulations of large-scale wind energy resource potentials. We conclude that KEBA is a transparent and informative modelling approach to advance the scientific understanding of wind energy limits and can be used to estimate regional wind energy resource potentials that account for the depletion of wind speeds.


2016 ◽  
Vol 31 (3) ◽  
pp. 267
Author(s):  
Ricardo Moreira da Silva ◽  
Helyda Karla Barbosa Bernardes ◽  
Cícero Ferreira Machado ◽  
Pedro De Almdeida Soares

Os impactos causados pela geração da energia eólica são considerados menores, se comparados com outros tipos de fontes. Contudo, esses impactos podem ter diversos fatores e proporções, visto que as particularidades de cada localidade devem ser mensuradas para avaliar esses impactos. Este artigo tem por objetivo analisar os impactos ambientais e socioeconômicos provocados pelos empreendimentos eólicos na comunidade rural de Barra de Camaratuba-PB, visando a entender as mudanças impostas com a construção das fazendas eólicas em comunidades rurais. Este estudo comparou uma pesquisa bibliográfica (o que se diz sobre o assunto em pauta) e um estudo de caso realizado na região, com a participação de 110 moradores entrevistados, cujos dados foram tratados sob a estratégia de triangulação. O empreendimento eólico estudado era constituído por 60 turbinas eólicas, que estão divididas em dez fazendas eólicas, ocupando aproximadamente 6 quilômetros da extensão litorânea da comunidade. Conclui-se que os moradores não conseguem perceber os impactos ambientais, nem os socioeconômicos, apenas evidenciando que não houve geração de emprego e renda. Assim, é possível apontar diversas contradições entre a teoria rastreada em periódicos com os identificados na comunidade, comprovando que as particularidades de cada localidade interferem na mensuração dos impactos relacionados aos empreendimentos eólicos.PALAVRAS-CHAVES: Parque Eólico. Alterações Ambientais. Impactos Socioeconômicos. ANALYSIS OF IMPACTS OF WIND PROJECTS IN RURAL COMMUNITY OF BARRA OF CAMARATUBA-PB.ABSTRACT: The impacts caused for the generation of wind energy are considered minor compared to other types of sources. However, impacts may have various factors and proportions, seen those particular of each location be measured to assess impacts processes. This article aims to analyze environmental and socioeconomic impacts caused for wind projects in the rural community of Barra of Camaratuba-PB, aiming to understand how changes imposed with the construction of wind farms in rural communities. This study compared a bibliographical survey (what is said on the subject in question) and a case study conducted in the region, with the participation of 110 residents interviewed, whose the data were treaties under the strategy of triangulation. The studied wind venture it was composed of 60 wind turbines, that are divided into ten wind farms, occupying about 6 kilometers from the coastal community extension. Concludes that the residents can not perceive the environmental impacts, nor the socioeconomic, showing that not there was generation of employment and income. Thus, it is possible to point out Several contradictions between theory traced at the journals with the identified community, proving what the particularities of each locality interferes with the measurement of impacts related to wind farms.KEYWORDS: Windfarm, Environmental Change, Socio-economic Aspects.


2013 ◽  
Vol 52 ◽  
pp. 8-15 ◽  
Author(s):  
Isam Janajreh ◽  
Liu Su ◽  
Fathi Alan

Sign in / Sign up

Export Citation Format

Share Document