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Showing 4 results for Zamani
M.r Khorasani, M Zamani, S Asghari, B Faghih Imani, Volume 12, Issue 4 (Winter 2010)
Abstract
Today, the demand of energy is one of the most important issues of our world. Fossil fuels which have fulfilled main socials’ energy request are limited sources. Besides the Systems that use these types of fuels have low efficiency and also are main sources of air pollution. Therefore, using the renewable energy sources and the high efficiency systems is necessary. In this research, the stationary applications of the fuel cell systems and the development of this clean energy conversion is considered. Although in constructing of fuel cell power plants and stationary units, some types of fuel cell systems have used, but molten carbonate fuel cell (MCFC) has the most application in this fields. In this paper, the design and manufacturing of a 5kW fuel cell system and its fuel and air management, heat and water management, safety and control subsystems are investigated.
Younes Noorollahi, S. M Ali Ashraf, Mohsen Zamani, Volume 14, Issue 1 (Spring 2011)
Abstract
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
Mostafa Zamani, Ali Akbar Safavi, Vahid Naghavi, Mohammad Hesam Mohammadi, Volume 15, Issue 3 (10-2012)
Abstract
This paper addresses the design and development procedure of a simulator for Shiraz 250kw solar power plant based on hybrid modeling. Therefore, the different parts of the process which influence the control performance were modeled in MATLAB software environment. The hybrid approach is applied to realize this model. Accordingly, we use predefined static and dynamic equations to model related parts respectively. Thereafter the effects of the other parts are evaluated based on a fuzzy modeling using a correction factor. Meanwhile the proposed model is validated using real data from Shiraz solar power plant and based on the RMSE and normalized RMSE indexes.
Mostafa Zamani Mohiabadi, Rasoul Jahromi, Majid Hasani Dastjerdi, Ehsan Mehrabi Gouhari, Volume 21, Issue 3 (12-2018)
Abstract
The energy production analysis of a photovoltaic system depends on the panels tempreture and solar radiation. An endless and free source of solar energy received at the Earth's surface depends on the geographical location, different hours of day and seasons of the year.Hence, its correct evaluation is a strategic factor for the feasibility of a solar system. in this paper, a new method of energy modeling of photovoltaic systems is proposed by using the radiation and temperature data obtained from monitoring of monocrystalline and polycrystalline solar panels installed at the solar site of the Vali-e Asr university of Rafsanjan. The model is derived using data in a period of one year of the solar site by ANN models which is trained and tested by a multi - layer Perceptron neural network. The inputs of the model include the temperature of the panel and the direct solar radiation and Its output is the production power of both monocrystalline and polycrystalline solar panels of this solar site. The results showed that, it is proper to chose The activation function at the hidden layers of logsig, tansig, tansig with the number of [10 10 10] neurons.
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