Development of a New Simulation Model for the Reservoir Hydropower Generation |
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Authors: | Zahedi Rahim Eskandarpanah Reza Akbari Mohammadhossein Rezaei Nima Mazloumin Paniz Farahani Omid Noudeh |
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Affiliation: | 1.Department of New Energies and Environment, University of Tehran, Tehran, Iran ;2.Department of Energy, Islamic Azad University Science and Research Branch, Tehran, Iran ;3.Faculty of Mechanical Engineering, Islamic Azad University, Tehran, Iran ;4.Faculty of Computer Engineering and Information Technology, Faran Mehr Danesh University, Tehran, Iran ; |
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Abstract: | Hydroelectric power development plans are of great importance in today’s world, due to the urgency of access to clean energy resources. Hydroelectric power plants are great potentials for power generation around the world which produce less environmental problems. Hydroelectric power energy has covered 24% of the electrical energy in 2013. The proportion of this kind of energy is increasing rapidly. The amount of energy produced in different seasons of the year and different hours of the day is one of the most important issues in water plants. In other words, determining the capacity of installation (design discharge) is one of the important factors in the design of power plants. In this research, a developed algorithm for simulating hydropower energy production has been developed using MATLAB application. This developed model has been used for hydropower modeling. In such a situation, simulating energy production of the dam has been conducted for different power plant installation capacity and finally with applying reliability index of 90%, the installation capacity of the power plant equals 2.7 Kilowatt. In this installation capacity, initial energy and surplus has occurred in most months. Furthermore, in 33% of cases that the reservoir is in its maximum balance, surplus energy has been generated. Moreover, the scale of initial energy and the average surplus energy respectively equals to 20.80 and 13.2 Gigawatt hours annually on 24-h basis. By changing the input variables, this algorithm and the developed model can be applied in any single hydropower reservoir system. |
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