A New Approach for Converting Renewable Energy to Stable Energy


A renewable energy plant which relies on wind speed or solar insolation is unreliable because of the stochastic nature of weather patterns. It is theorized that by using multiple renewable energy plants in separate areas of a region, the different weather conditions might approach a probabilistically independent relationship. The goal of this paper is to utilize the power system technology to help disseminate wind and solar power systems to get a stable energy. A new approach to get appropriate stable energy is achieved by using the interrupted energy that obtained from wind farm and solar insolation. This is achieved by lifting water to a higher level with appropriate pumps and storing it in the form of potential energy. Then a stable energy is obtained by reliving water to the lower level. In this paper, the efficiency obtained from the renewable energy is compared with that obtained from traditional ones. An experimental model to simulate the process of converting the renewable energy to a stable energy is presented. The obtained results from experimental model explained that the renewable energy can be converted to a stable one with high efficiency.

Share and Cite:

M. Talaat, R. Edris, N. Ibrahim, F. Omar and M. Ibrahim, "A New Approach for Converting Renewable Energy to Stable Energy," Engineering, Vol. 5 No. 10A, 2013, pp. 27-33. doi: 10.4236/eng.2013.510A005.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] World Wind Energy Association, “Highlights of the World Wind Energy Report,” 2009. http://www.wwindea.org/home/index.php
[2] “The Role of Energy Storage with Renewable Electricity Generation,” Technical Report NREL/TP-6A2-47187, 2010. http://www.osti.gov/bridge
[3] L. L. Freris, “Wind Energy Conversion Systems,” Prentice Hall, Upper Saddle River, 1990.
[4] B. C. Ummels, E. Pelgrum and W. L. Kling: “Integration of Large-Scale Wind Power and Use of Energy Storage in the Netherlands’ Electricity Supply,” IET Renewable Power Generation, Vol. 2. No. 1, 2008, pp. 34-46.
[5] E. Spahic, G. Balzer, B. Hellmich and W. Münch, “Wind Energy Storages—Possibilities,” IEEE PowerTech, 2007.
[6] M. Talaat and A. El-Zein, “A Numerical Model of Streamlines in Coplanar Electrodes Induced by Non-Uniform Electric Field,” Journal of Electrostatics, Vol. 71, No. 3, 2013, pp. 312-318. http://dx.doi.org/10.1016/j.elstat.2012.12.034
[7] M. Talaat, “Charge Simulation Modeling for Calculation of Electrically Induced Human Body Currents,” IEEE Annual Report Conference on Electrical Insulation and Dielectric Phenomena CEIDP, West Lafayette, 17-20 October 2010, pp. 644-647.
[8] M. A. Farahat and M. Talaat, “The Using of Curve Fitting Prediction Optimized by Genetic Algorithms for ShortTerm Load Forecasting,” International Review of Electrical Engineering (IREE), Vol. 7, No. 6, 2012, pp. 62096215.
[9] M. Swierczynsky, R. Teodorescu, C. N. Rasmussen, P. Rodriguez and H. Vikelgaard, “Storage Possibilities for Enabling Higher Wind Energy Penetration,” EPE Wind Energy Chapter Symposium, Stafford, 15-16 April 2010.
[10] C. N. Rasmussen, “Energy Storage for Improvement of Wind Power Characteristics,” IEEE PowerTech, Trondheim, 2011.

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.