scholarly journals Assessment of Onshore Wind Energy Potential Using Regional Atmospheric Modeling System (RAMS) for Thailand

2014 ◽  
Vol 52 ◽  
pp. 487-496
Author(s):  
C. Chancham ◽  
J. Waewsak ◽  
T. Chaichana ◽  
M. Landry ◽  
Y. Gagnon
Author(s):  
David Severin Ryberg ◽  
Dilara Gulcin Caglayan ◽  
Sabrina Schmitt ◽  
Jochen Linßen ◽  
Detlef Stolten ◽  
...  

Considering the need to reduce greenhouse gas emissions, onshore wind energy is certain to play a major role in future energy systems. This topic has received significant attention from the research community, producing many estimations of Europe's onshore wind potential for capacity and generation. Despite this focus, previous estimates have relied on distribution assumptions and simulation schemes that summarily under predict both the amount of available future wind capacity as well as its performance. Foremost in this regard is the common use of contemporary, or at least near-future, turbine designs which are not fitting for a far-future context. To fulfill this role, an improved, transparent, and fully reproducible work flow is presented for determining European onshore wind potential. Within a scenario of turbine cost and design in 2050, 13.5 TWof capacity is found to be available, allowing for 34.4 PWh of generation. By sorting the explicitly-placed potential generation locations by their expected generation cost, national relations between turbine cost and performance versus a desired capacity are exposed. In this way, it is shown that all countries possess some potential for onshore wind energy generation below 4 €ct kWh-1. and, furthermore, that it is unlikely for these costs to exceed 6 €ct kWh-1.


Author(s):  
Siyavash Filom ◽  
Soheil Radfar ◽  
Roozbeh Panahi

Wind power output is highly dependent on the wind speed at the selected site, therefore wind-speed distribution modeling is the most important step in the assessment of wind energy potential. This study aims at accurate evaluation of onshore wind energy potential in seven coastal cities in the south of Iran. Six Probability Distribution Functions (PDFs) were examined over representative stations. It has been deduced that the Weibull function, which was the most used PDF in similar studies, was only applicable to one station. Here, Gamma offered the best fit for three stations and for the other ones, Generalized Extreme Value (GEV) performed better. Considering the ranking of six examined PDFs and the simplicity of Gamma, it was identified as the effective function in the southern coasts of Iran bearing in mind the geographic distribution of stations. Besides, six turbine power curve functions were contributed to investigate the capacity factor. That was very important, as using only one function could cause under- or over-estimation. Then, stations were classified based on the National Renewable Energy Laboratory system. Last but not least, examining a range of wind turbines enabled scholars to extend this study into the practice and prioritize development of stations considering budget limits.


Energy ◽  
2019 ◽  
Vol 182 ◽  
pp. 1222-1238 ◽  
Author(s):  
David Severin Ryberg ◽  
Dilara Gulcin Caglayan ◽  
Sabrina Schmitt ◽  
Jochen Linßen ◽  
Detlef Stolten ◽  
...  

2012 ◽  
Vol 46 (14) ◽  
pp. 7857-7864 ◽  
Author(s):  
Yuyu Zhou ◽  
Patrick Luckow ◽  
Steven J. Smith ◽  
Leon Clarke

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Peter Enevoldsen ◽  
Finn-Hendrik Permien

The installation of onshore wind farms has increased in the past decade all over Sweden, and as a result, more wind projects are facing challenges of, for instance, social opposition and lack of space, which potentially complicate resource assessments. As a response to the current challenges in the Swedish wind industry, this study examines and develops a strategic map of potential areas for the construction of new farms in Sweden. The analyses used to prepare the map are performed using a holistic research strategy that focuses on everything from social to technical challenges. The map is based on an extensive data collection consisting of a comprehensive wind dataset mixed with the outcome of large-scale qualitative studies that include five dominant stakeholder groups in the Swedish wind industry and detailed information on restrictive areas. Consequently, this research presents a resource map, which is intended to inspire all stakeholders in the Swedish wind industry to further develop the successful case of wind power in Sweden. Furthermore, the current research aims to update ongoing debates in the wind energy literature, and finally, it introduces a tool that can be used in all phases of a large-scale energy strategy that involves wind power.


Heliyon ◽  
2016 ◽  
Vol 2 (11) ◽  
pp. e00187 ◽  
Author(s):  
Nkongho Ayuketang Arreyndip ◽  
Ebobenow Joseph ◽  
Afungchui David

Energy ◽  
2018 ◽  
Vol 152 ◽  
pp. 498-511 ◽  
Author(s):  
Yi Li ◽  
Xiao-Peng Wu ◽  
Qiu-Sheng Li ◽  
Kong Fah Tee

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