In this study, weather conditions such as air humidity, temperature air, and Wind speed were investigated in relation to Wind turbine efficiency with the approach of an exergy study. In this study, the Wind speed has been investigated in two different climatic regions of Iran with an approximate distance of 1200 km, in the names of Ardabil and Marvast. The amount of Wind density of Ardabil is equal to 66 (kW/m2) and Marvast is equal to 123 (kW/m2). Power production using a 10 (Kw) Wind turbine in the Ardabil region is 2.3 (MWh) and in the Marvast region is 3.2 (MWh) per year. The highest Wind turbine exergy efficiency is 0.48 in the Ardabil region, and the highest exergy efficiency in the Marvast region is 0.18. The amount of reduction of CO2 gas production, using Wind turbines in comparison to gas and diesel power plants in Ardabil, are 1.1 and 2.1 tons and in Marvast are 1.5 and 2.9 tons per year. This reduction in CO2 greenhouse gas per year is equal to using a forest region of 1000 (m2) to 3000 (m2). The use of Wind turbines reduces the fuel consumption of diesel power plants in the Ardabil region for the amount of 797.4 liters and in the Marvast region for the amount of 1244 liters of diesel per year. According to this review, it can be concluded that in addition to Wind speed, air humidity plays a significant role in the selection, installation, and commissioning of Wind turbines in the region. According to this survey, it can be seen that in the Ardabil region, the Wind speed of the Wind turbine has a higher exergy efficiency than in the Marvast region, and it can be concluded that the Wind turbine has performed better in the Ardabil region.

Due to the stochastic nature of Wind energy, allocating an appropriate investment incentive for Wind generation technology (WGT) is a complicated issue. We propose an improvement on the traditional incentive, known as capacity payment mechanism (CPM), to reward the Wind generators based on their performance exogenously affected by the Wind energy potential of the location where the turbines are installed, and therefore, lead the investments towards locations with more generation potential. In CPM, a part of investment cost of each generator is recovered through fixed payments. However, in our proposal, Wind generators are rewarded according to dynamic forecasts of the Wind energy potential of the Wind farm where they are located. We use an auto-regressive moving average (ARMA) model to forecast the Wind speed fluctuations in long-term while capturing the auto-correlation of Wind velocity variation in consecutive time intervals. Using the system dynamics (SD) modelling approach a competitive electricity market is designed to examine the efficiency of the proposed incentive. Performing a simulation analysis, we conclude that while a fixed CPM for Wind generation can decrease the loss of load durations and average prices in long-term, the proposed improvement can provide quite similar results more efficiently.

In this paper, we study the effects of energy price liberalization policies on the development of Wind power usage in Iran. The economics of energy production from Wind and gas power plants are compared. The Levelized Cost of energy (LCOE) is used as an index to compare the plants’ cost of electricity production. LCOE is a well-known index to measure the economics of a plant once all the factors such as cost of air pollutants and exchange rates are to be considered. We show that by removing subsidies from conventional fuels in Iran, Wind power plants are completely cost effective. Due to the opportunity cost of gasoline, power generation from Wind can provide the ability to export gasoline. The benefit increases by designing and constructing of infrastructures required to develop the technology inside the country. It is worth mentioning that due to changes in exchange rates, policies should be directed towards developing the Wind turbine technology inside the country which in turn provides job opportunities.

Iran has a lot of renewable and nonrenewable energy resources. Since Iran has a special geographic position, it has a lot of solar and Wind energy resources. Both solar and Wind energy are free, renewable and adaptable with environment. The study of 10-year-Wind data in Iranian synoptic stations shows that the production of Wind power electricity is possible in many regions of Iran such as the Coast of Oman Sea, Persian Gulf islands, coastal areas of Khozestan province, the Eastern area of Iran, and stations of Manjil, Rafsanjan, Ardebil and Bijar. Also the production of Wind power electricity is possible in many other regions of Iran during limited time. According to the findings of this study, Synoptic stations are divided into four different groups in terms of Wind speed. The first group has great Wind power most of the year, the second group has great Wind power in some parts of the day sometime in the year, the third has Wind power in limited times during the year and the fourth group does not have any significant Wind power throughout the year.

Due to the environmental problems associated with fossil fuels and increasing energy needs, renewable Wind energy will play a vital role in changing the future energy structure in Iran and the world, so the evaluation of Wind resources plays an important role in exploiting this resource. In this research, Wind information of the Karun region, with three-hour time intervals recorded in the eleven-year period (2010-2010), has been used in three stations in the south, northeast, and northwest of the city. In order to conduct this research, the Wind energy potential in the region was evaluated with the aim of identifying the most suitable points for the installation of Wind turbines, using the Weibull distribution function, and calculating the Wind speed and density on a monthly and annual average. The annual Windflowers of the stations in the study area were also plotted by processing the data of the mentioned statistical period using the WRPLOT software. The results showed that the stations in the south and northwest of the city at an altitude of 100 meters above the ground with an average annual speed of 4.04 and 7.08 meters per second and Wind power density of 212 and 215 watts per square meter, respectively, have better talent and potential.

The monthly Wind speed data are used to determination of a Weibull density distribution function for Manjil Wind energy plant in Iran. The data collected during a five years period from 1993 to 1998 and reported by the Iran's Meteorological Organization. The results show that the numerical values of the shape parameter vary between 0.87 and 1.64, whereas the value of the scale factor is found to vary between 4.09 and 10.25 m/s. It is also concluded from this study that the Wind data are very well represented by the Weibull distribution function.      

In this article, the three topics of Wind energy science, Wind energy engineering, and Wind energy policy of Iran are discussed. Deciding on Wind energy in the country requires comprehensive information in these three areas. Due to the increase in the capacity of renewable energy in the neighboring countries and global energy transition as well as the high potential of Iran in the field of renewable energy, especially Wind energy, its culture in the country and the transfer of concepts in a simple language is necessary.