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In this paper, wind energy resources in west Iran have been analyzed and estimated. Along with intense economic development and increasing energy consumption, clean, domestic and renewable energy can be the best option for future plans. The most important barrier for a wider deployment of renewable resources in Iran is the fossil fuel price which is the lowest in the world. Recently, government have decided to remove subsides for fossils, Therefore fossil fuel priceswill increase and this causes green energy price to be feasible. Wind power energy due to better economic conditions and very low environmental pollution today is very attractive. In this study we have used Geographic Information System (GIS) to determine the potential of wind energy resources in the west of Iranand explain the Multiple Criteria Decision Making method and site selection Criteria for wind resources assessment. In this research the desired criteria with equal importance have been investigated, these criteria include technical, environmental, economic and geographic standards. The results of this study are favorable for electricity production from wind, according to international standards in three states of west of Iran. Results have shown that 3% of study area has capacity for installing large wind turbines. Assuming that use of Gamesa G58 turbine model we can produce up to 1897 megawatts of wind power, which is26% of electrical supply region in 2026

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Sustainable energy means use of resources in a manner that provides ongoing energy to meet the needs of the current population, with compromising conditions for future generations. Renewable energy including solar, wind, hydropower, wave and tidal, biomass and geothermal will play a role in this regard. Use of renewable energy offers numerous benefits in the short-, medium- and long-term: security of supply, sustainable local industry, job growth and environmental sustainability. Renewable energys with the capability of creating job opportunities and income, causes the empowerment and strengthening self-reliance of local communities and contributes to poverty alleviation goals. The use of renewable energys technologies and markets development requires removing financial, legal, regulatory and organizational barriers. Planning roadmap for renewable energy development under a three phase approach, use of encouraging policy incentives, competition improvement and market space deregulation with considerable increase in activities scale will affect on renewable energy development, propotional with sustainable economic, social and environmental development.

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The main purpose of this survey was to identify inhibiting factors of application development of renewable energies in smallholder farming systems of the Tafresh township. A descriptive- survey method was used for collecting the data. The statistical population of the study consisted of 2470 small farmers working in the smallholder farming systems of the area, in which 300 people were selected as sample using Krejcie & Morgan table and stratified random sampling technique. A questionnaire was used to collect the data. A panel of experts confirmed the validity of the questionnaire. A pilot study was conducted to establish reliability of the instrument. Cronbach alphas coefficient for the mail scales of the questionnaire was higher than 0.75. The results of factor analysis showed that five factors, namely, spatial- qualitative, personal characteristics, lack of advantage, knowledge- financial and technological explain 43.69 percent of total variances of inhibiting factors of application development of renewable energies in smallholder farming systems of the Tafresh township.

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The factors affecting the non-diffusing of the solar water heaters (SWH) in Iran has been inspected in this research. The energy audit implies that the efficiency of SWH convertors during cold period is not satisfactory and they need backup systems. A survey from users, experts, and suppliers of SWH reveals that the low price of energy carriers, low efficiency during cold period, un-reliability, water pipes freeze problem, non-economic, repair and maintenance issue, and high electrical energy consumption have been the main factors for non-widespread application of SWH in Iran. The financial consideration show that SWH are not economical, so the increase of the energy carriers prices up to their world values is the main factor and prior to the complementary solutions for developing the domestic applications of solar water heaters in Iran.

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The purpose of this paper is to improve the modeling of the data-driven wind turbine system that receives data from noise signals. Most of the data on industrial systems is noisely and data noise is inevitable and natural. The method and idea proposed in this paper, Data Fogging, significantly reduce the impact of noise on data-driven wind turbine system modeling, which is the basis of this method of changing the acceptable range of measured data. It will not eliminate noise in the system data, but will significantly reduce their impact on detection, modeling and fault detection. In this paper, the proposed method of artificial neural networks is used as a case study for modeling of wind turbine power transmission system of Kahak wind power plant. Noise and noisely information data applied to the system, modeling performed, and the results are reviewed. The results of the simulation presented in the tables and figures below illustrate the very good and accurate performance of the data fogging method in eliminating the impact of noise on system modeling, as the case of the wind turbine system proves. In fact, the impact of this method on real systems analysis is noise, because the noise in industrial systems has an impact on system analysis and greatly affects the accuracy of system identification, modeling and fault detection. Simulations of the method presented in this paper have been performed in MATLAB software. The reason for choosing this software to perform the simulation is that it is very powerful and reliable. In the research section of this paper, first a method and idea is presented and control analysis is performed and then in the software simulation section of this paper the proposed method is implemented and simulated on a real study system (wind turbine of Kahak wind power plant).
 

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With population growth and progress of human society and human life needs to energy sources and also environmental pollution caused by fossil fuels, many countries are looking to use clean energy sources. Wind energy is one of them. In this paper was to evaluate the potential of wind energy in Yazd city. After review and analysis of meteorological data from 2011 to 2014 by software, the annual average wind speed at a height of 50 meters, 3.174 m/s and wind power density of 54 W/m² was obtained show that the city of Yazd does not have good potential to exploit wind energy.

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Todays, attention to renewable energies and decrease the use of fossil fuels is priority for countries. With the help of economics criteria, studied Economic evaluation of projects and then several financing scenarios are reviewed for these projects based on levelising the cost. In economic evaluation, both wind projects were economical, and based on the four scenarios in this study that include feed in tariff, Investments, R&D, and revenue-to-expenditure ratios for decrease emissions, the best scenario is based on reduction in the levelising cost is associated to the financial instrument of production or feed in tariff. To determine the most appropriate financial channels we used The AHP hierarchical approach which Based on that he best channels are obtained by foreign monetary institutions, foreign finance, stock exchange, National Development Fund, Bank and Pension Fund.

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Energy security is one of human society's most important topics, affecting many tensions and relations between different countries. Considering the breadth of the concept of energy security and its mutual effects in the economic, political, social and environmental fields, it has become an essential concern of governments and thinkers. The energy security risk index examines a country’s level of security risk e factors affecting energy security in geopolitical, economic, political and environmental fields by measuring 29 determining components. The main goal of the current research is to investigate the impact of renewable and non-renewable energy consumption on the energy security risk in Iran from 1980 to 2020 using the structural vector autoregression (SVAR) method. The obtained results show that the consumption of renewable energy has a negative and decreasing effect, and the consumption of non-renewable energy has a positive and increasing impact on Iran’s energy security risk. Also, the added value variables of the industry sector and government size have a positive and increasing effect on the energy security risk in Iran. On the other hand, the results of this research show that one of the reasons for the increasing trend of the energy risk index for Iran is the rising consumption of non-renewable energies. Following that, the amount of environmental pollution has also been increasing; Therefore, to prevent this, policies should be implemented to reduce the consumption of this type of energy and to replace it with other energy, including renewable energy.