Optimal Sizing and Application of Renewable Energy Sources at GSM Base Station Site

Vincent Anayochukwu Ani

Abstract


Software products (such as HOMER), using for projecting and research of alternative energy systems in Nigeria are usually developed by European or American research centers or products supplying companies. There is a need for specific software product for projecting, analysis and simulation of electric power processes in technological buildings with specific electrical control. This paper discusses the development of a computer program for determining the renewable energy sources (RES) that can be used for electric power supply of GSM base station site at any given time. The program calculates the optimum configuration of the system according to the weather data as well as the period of operation of solar cells. From the simulation results, it was shown that the optimal load sizing (source and load characteristics are effectively matched) and the supplied energy is efficiently and rationally utilized. The structural analysis of the program is described in details through data flow diagrams. The program can be adapted for application in any area.


Keywords


Renewable energy sources, Solar-PV, Hydro, Wind, Base Station Site, Nigeria

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References


. Bala, E.J., Ojosu, J.O. & Umar, I. H. (2000). Government Policies and Programmes on the Development of Solar-PV Sub-sector in Nigeria. Nigerian Journal of Renewable Energy, 8 (1&2), 1-6.

. Ani, Vincent Anayochukwu and Nzeako, Anthony Ndubueze (July, 2012), Energy Optimization at GSM Base Station Sites Located in Rural Areas. International Journal of Energy Optimization and Engineering. Vol.1, No.3. Publisher IGI Global

. Chendo, M. A. C. (2002). Factors Militating Against the Growth of the Solars-PV Industry in Nigeria and their Removal. Nigerian Journal of Renewable Energy 10 (1&2), 151-158.

National Baseline Survey, (2007) Federal Republic of Nigeria Avian Influenza Control and Human Pandemic Preparedness and Response Project (AICP). EnvironQuest integrated environmental solutions final report December, 2007

. Ijumba, N.M, Raphalalani. V.T, and Reddy, P, (1999), Optimised Application of Renewable Energy Sources in Rural Electrification. IEEE

. Souissi Ahmed, Hasnaoui Othman and Salami Anis, (2010) Optimal Sizing of a Hybrid System of Renewable Energy For a Reliable Load Supply Without Interruption. European Journal of Scientific Research Pp.620-629.

. Postgraduate Studies Prospectus (2010) University of Nigeria, Nsukka

. UNN geographical Location (2012) http://wikimapia.org/1455825/University-of-Nigeria-Nsukka-Enugu-State.

. NASA, (2013) http://eosweb.larc.nasa.gov/

. Ani, Vincent Anayochukwu and Emetu, Alice Nnene (2013), Simulation and Optimization of Hybrid Diesel Power Generation System for GSM Base Station Site in Nigeria. Electronic Journal of Energy and Environment (EJEE).

. Ani Vincent Anayochukwu & Emetu Alice Nnene (2013). Estimation of Environmental Impact of Power Generation at GSM Base Station Site. Electronic Journal of Energy and Environment

. Ani, Vincent Anayochukwu (In Press) Optimal Operational Strategy for Hybrid Power Generation at GSM Base Station Site. International Journal of Energy Optimization and Engineering. Publisher IGI Global

. HOMER (2012), http://www.nrel.gov/international/tools/HOMER/homer.html

. Kamaruzzaman Sopian, Azami Zaharim, Yusoff Ali, Zulkifli Mohd Nopiah, Razak Juhari Ab., Muhammad Nor Salim (2008) Optimal Operational Strategy for Hybrid Renewable Energy System Using Genetic Algorithms. WSEAS TRANSACTIONS on MATHEMATICS Issue 4, Volume 7, April 2008

. Lambert, T. (2009), HOMER: The Hybrid Optimization Model for Electrical Renewables. http://www.nrel.gov/international/tools/HOMER/homer.html

. Peterson A. J, Perez R, Bailey B and Elsholz K. (1999) Operational experience of a

residential photovoltaic hybrid system. Solar Energy 65, 227–235




DOI (PDF): https://doi.org/10.20508/ijrer.v3i3.733.g6180

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