AbstractThe knowledge of wind speed characteristics of a region is among the most important aspect of wind turbines utilization for electricity production and assessing the cost of power generation. The wind spectrum and the wind power density for the city of Chabahar located in the southeastern part of Iran were modeled using Weibull distribution and power law estimation. An empirical approach was used to determine the shape parameter, k, and the scale parameter, c, of Weibull distribution function at different heights from 2014 to 2016 during two years period. Wind characteristics in Chabahar were extensively analyzed along with assessing the effects of parameters such as air humidity and temperature, surface roughness, turbulence, and wind velocity durations. The amount of wind power that can be produced by installation of eight wind turbines with different powers ranging from 2.5 kW to 8 MW at Chabahar were investigated. Additionally, the annual capacity factor for each turbine was determined. A wind-hydrogen system was considered in the analysis for evaluating the hydrogen production ability from wind energy in the station at Chabahar. The highest amount of hydrogen production was related to Vestas V164 with the yearly value of 194.36 ton-H2.
Energy Harvesting and Systems – de Gruyter
Published: Mar 26, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.
All for just $49/month
Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.
Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.
It’s easy to organize your research with our built-in tools.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera