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Optimization of hybrid renewable energy power system for remote installations: Case studies for mountain and island

Abstract

Various efforts are in progress to curb global warming and climate change. One of the solutions is to cut emission of CO2 from power plants. Decentralized power from renewable energy sources are ideal solution. This paper provides detail optimization procedure based on linear programming; for minimizing operation cost by utilizing maximum potential of REPS, and taking into consideration monthly fluctuation on generation and electricity demand. Hybrid system consisting of Hydropower, Photovoltaic and, Wind systems were taken into consideration for the optimization. Optimizations were performed for two cases, first being a remote mountainous Thingan village in Nepal and second a fairly large Ulleungdo island in South Korea. The two cases differ in demand scale, energy use, renewable energy potential, and geographic location. The optimization result show that for the HRES in Thingan, the Hydro power, Wind Power and PV power system should be 26.85 kW, 2.11 kW and 3.48 kW respectively. Similarly for Ulleungdo, optimized result for Hydro power, Wind Power and PV power was found to be 825 kW, 1291 kW and 1107 kW respectively. The optimization results indicate that the optimized hybrid system can help to completely switch from current fossil fuel dependence power system to renewable energy based power system in wide geography.

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References

  1. 1.

    Bhandari, B., Lee, K.-T., Lee, C. S., Song, C.-K., Maskey, R. K., and Ahn, S.-H., “A Novel Off-Grid Hybrid Power System Comprised of Solar Photovoltaic, Wind, and Hydro Energy Sources,” Applied Energy, Vol. 133, pp. 236–242, 2014.

    Article  Google Scholar 

  2. 2.

    Bhandari, B., Poudel, S. R., Lee, K.-T., and Ahn, S.-H., “Mathematical Modeling of Hybrid Renewable Energy System: A Review on Small Hydro-Solar-Wind Power Generation,” Int. J. Precis. Eng. Manuf.-Green Tech., Vol. 1, No. 2, pp. 157–173, 2014.

    Article  Google Scholar 

  3. 3.

    Ahn, S.-H., Lee, K.-T., Bhandari, B., Lee, G.-Y., Lee, C. S.-Y., and Song, C.-K., “Formation Strategy of Renewable Energy Sources for High Mountain Off-Grid System Considering Sustainability,” J. Korean Soc. Precis. Eng., Vol. 29, No. 9, pp. 958–963, 2012.

    Article  Google Scholar 

  4. 4.

    Bhandari, B., “Design and Evaluaion of Tri-Hybrid Renewable Energy System (THRES),” Ph.D. Thesis, Department of Mechanical & Aerospace Engineering, Seoul National University, 2014.

    Google Scholar 

  5. 5.

    Markvart, T., Fragaki, A., and Ross, J., “PV System Sizing Using Observed Time Series of Solar Radiation,” Solar Energy, Vol. 80, No. 1, pp. 46–50, 2006.

    Article  Google Scholar 

  6. 6.

    Karaki, S. H., Chedid, R. B., and Ramadan, R., “Probabilistic Performance Assessment of Autonomous Solar-Wind Energy Conversion Systems,” IEEE Transactions on Energy Conversion, Vol. 14, No. 3, pp. 766–772, 1999.

    Article  Google Scholar 

  7. 7.

    Bhuiyan, M. and Asgar, M. A., “Sizing of a Stand-Alone Photovoltaic Power System at DHAKA,” Renewable Energy, Vol. 28, No. 6, pp. 929–938, 2003p

    Article  Google Scholar 

  8. 8.

    Kellogg, W., Nehrir, M., Venkataramanan, G., and Gerez, V., “Optimal Unit Sizing for a Hybrid Wind/Photovoltaic Generating System,” Electric Power Systems Research, Vol. 39, No. 1, pp. 35–38, 1996.

    Article  Google Scholar 

  9. 9.

    Chedid, R. and Rahman, S., “Unit Sizing and Control of Hybrid Wind-Solar Power Systems,” IEEE Transactions on Energy Conversion, Vol. 12, No. 1, pp. 79–85, 1997.

    Article  Google Scholar 

  10. 10.

    La Terra, G., Salvina, G., and Tina, G. M., “Optimal Sizing Procedure for Hybrid Solar Wind Power Systems by Fuzzy Logic,” Proc. of IEEE Mediterranean Electrotechnical Conference, pp. 865–868, 2006.

    Google Scholar 

  11. 11.

    Nfah, E., Ngundam, J., Vandenbergh, M., and Schmid, J., “Simulation of Off-Grid Generation Options for Remote Villages in Cameroon,” Renewable Energy, Vol. 33, No. 5, pp. 1064–1072, 2008.

    Article  Google Scholar 

  12. 12.

    Khatib, T., Mohamed, A., and Sopian, K., “A Review of Photovoltaic Systems Size Optimization Techniques,” Renewable and Sustainable Energy Reviews, Vol. 22, pp. 454–465, 2013.

    Article  Google Scholar 

  13. 13.

    Farahat, S., Jahromi, M. Y., and Barakati, S., “Modeling and Sizing Optimization of Stand-Alone Hybrid Renewable Energy Systems,” Proc. of International Conference on Mechanical, Nanotechnology and Cryogenics Engineering (ICMNC), pp. 212–217, 2012.

    Google Scholar 

  14. 14.

    Posadillo, R. and Luque, R. L., “Approaches for Developing a Sizing Method for Stand-Alone PV Systems with Variable Demand,” Renewable Energy, Vol. 33, No. 5, pp. 1037–1048, 2008.

    Article  Google Scholar 

  15. 15.

    Engin, M., “Sizing and Simulation of PV-Wind Hybrid Power System,” International Journal of Photoenergy, Vol. 2013, Article ID: 217526, 2013.

  16. 16.

    Koutroulis, E., Kolokotsa, D., Potirakis, A., and Kalaitzakis, K., “Methodology for Optimal Sizing of Stand-Alone Photovoltaic/ Wind-Generator Systems using Genetic Algorithms,” Solar Energy, Vol. 80, No. 9, pp. 1072–1088, 2006.

    Article  Google Scholar 

  17. 17.

    Markvart, T., “Sizing of Hybrid Photovoltaic-Wind Energy Systems,” Solar Energy, Vol. 57, No. 4, pp. 277–281, 1996.

    Article  Google Scholar 

  18. 18.

    Diaf, S., Notton, G., Belhamel, M., Haddadi, M., and Louche, A., “Design and Techno-Economical Optimization for Hybrid PV/Wind System under Various Meteorological Conditions,” Applied Energy, Vol. 85, No. 10, pp. 968–987, 2008.

    Article  Google Scholar 

  19. 19.

    Bhandari, B., Lee, K.-T., Lee, G.-Y., Cho, Y.-M., and Ahn, S.-H., “Optimization of Hybrid Renewable Energy Power Systems: A Review,” Int. J. Precis. Eng. Manuf.-Green Tech., Vol. 2, No. 1, pp. 99–112, 2015.

    Article  Google Scholar 

  20. 20.

    U.S. Energy Information Administraion, “Frequently Asked Questions: How Much Electricity does an American Home Use?” http://wwweiagov/tools/faqs/faqcfm?id=97&t=3 (Accessed 29 MAR 2016)

    Google Scholar 

  21. 21.

    Dafrallah, T., “Energy Security in West Africa the Case of Senegal,” ENDA Energy, Environment, Development, 2009.

    Google Scholar 

  22. 22.

    Mepal Energy Forum, “NEA Electricity Tariff Rates,” http://www. nepalenergyforumcom/nea-electricity-tariff-rates/ (Accessed 29 MAR 2016)

    Google Scholar 

  23. 23.

    Korea Electric Power Corporation, “Electric Rates Table,” http:// cyberkepcocokr/ckepco/front/jsp/CY/E/E/CYEEHP00201jsp (Accessed 29 MAR 2016)

    Google Scholar 

  24. 24.

    Atmospheric Science Data Center, “NASA Surface Meteorology and Solar Energy -Location,” https://eosweblarcnasagov/cgi-bin/ sse/gridcgi?email=skip@larcnasagov (Accessed 29 MAR 2016)

    Google Scholar 

  25. 25.

    Enerdata, “Global Energy & CO2 Data,” http://wwwenerdatanet/ enerdatauk/knowledge/subscriptions/database/energy-market-dataand-co2-emissions-dataphp (Accessed 271 APR 2016)

    Google Scholar 

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Correspondence to Binayak Bhandari.

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Bhandari, B., Ahn, SH. & Ahn, TB. Optimization of hybrid renewable energy power system for remote installations: Case studies for mountain and island. Int. J. Precis. Eng. Manuf. 17, 815–822 (2016). https://doi.org/10.1007/s12541-016-0100-2

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Keywords

  • Optimization
  • Renewable energy system
  • Hydro power
  • Wind power
  • Photovoltaic system
  • Hybrid power system