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Optimal mapping of hybrid renewable energy systems for locations using multi-criteria decision-making algorithm

Author

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  • Diemuodeke, E.O.
  • Addo, A.
  • Oko, C.O.C.
  • Mulugetta, Y.
  • Ojapah, M.M.

Abstract

This paper presents the optimal mapping of hybrid energy systems, which are based on wind and PV, with the consideration of energy storage and backup diesel generator, for households in six locations in the South-South geopolitical (SS) zone of Nigeria: Benin-city, Warri, Yenagoa, Port Harcourt, Uyo and Calabar. The optima hybrid energy systems are able to meet 7.23 kWh/day household's electrical energy demand. The hybrid energy system for each of the locations was optimally obtained based on HOMER software computation and TOPSIS multi-criteria decision-making algorithm that considers technical, economic, environmental, and sociocultural criteria. Wind energy potential was conducted for the six locations using the Weibull distribution function; the wind speed ranges between 3.21 and 4.19 m/s at 10 m anemological height. The wind speeds and the wind characteristics were extrapolated for 30 m and 50 m hub heights. The solar resource potentials across the six locations are also presented – ranges between 4.21 and 4.71 kWh/m2/day. The best hybrid system for the locations in Benin-city, Yenagoa and Port Harcourt is the Diesel generator-PV-Wind-Battery system; whereas the best hybrid system for the locations in Warri, Uyo and Calabar is the PV-Wind-Battery system. The hybrid systems in Benin-city, Yenagoa and Port Harcourt emit CO2, only 8.47%, 15.02% and 14.09% of the business as usual (the diesel generator). The payback time ranges between 3.7 and 5.4 years, using 0.893 US$/kWh cost of energy obtained for the business as usual. The cost of energy of the hybrid systems ranges between 0.459 and 0.562 US$/kWh, which compares well with available data in the public domain. The design parameters of the optima hybrid energy systems are also presented. The methodology presented here will serve as a design tool for renewable energy professionals.

Suggested Citation

  • Diemuodeke, E.O. & Addo, A. & Oko, C.O.C. & Mulugetta, Y. & Ojapah, M.M., 2019. "Optimal mapping of hybrid renewable energy systems for locations using multi-criteria decision-making algorithm," Renewable Energy, Elsevier, vol. 134(C), pages 461-477.
    • Handle: RePEc:eee:renene:v:134:y:2019:i:c:p:461-477
    DOI: 10.1016/j.renene.2018.11.055
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    References listed on IDEAS

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    1. Zhou, Sheng & Wang, Yu & Zhou, Yuyu & Clarke, Leon E. & Edmonds, James A., 2018. "Roles of wind and solar energy in China’s power sector: Implications of intermittency constraints," Applied Energy, Elsevier, vol. 213(C), pages 22-30.
    2. Mahmoud, Marwan M. & Ibrik, Imad H., 2006. "Techno-economic feasibility of energy supply of remote villages in Palestine by PV-systems, diesel generators and electric grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(2), pages 128-138, April.
    3. Sindhu, Sonal & Nehra, Vijay & Luthra, Sunil, 2017. "Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis: Case study of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 496-511.
    4. Yu, Xiao & Qu, Hang, 2010. "Wind power in China--Opportunity goes with challenge," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2232-2237, October.
    5. Akuru, Udochukwu B. & Onukwube, Ifeanyichukwu E. & Okoro, Ogbonnaya I. & Obe, Emeka S., 2017. "Towards 100% renewable energy in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 943-953.
    6. Siddaiah, Rajanna & Saini, R.P., 2016. "A review on planning, configurations, modeling and optimization techniques of hybrid renewable energy systems for off grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 376-396.
    7. Karakaya, Emrah & Sriwannawit, Pranpreya, 2015. "Barriers to the adoption of photovoltaic systems: The state of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 60-66.
    8. Ramli, Makbul A.M. & Bouchekara, H.R.E.H. & Alghamdi, Abdulsalam S., 2018. "Optimal sizing of PV/wind/diesel hybrid microgrid system using multi-objective self-adaptive differential evolution algorithm," Renewable Energy, Elsevier, vol. 121(C), pages 400-411.
    9. Lozano-Minguez, E. & Kolios, A.J. & Brennan, F.P., 2011. "Multi-criteria assessment of offshore wind turbine support structures," Renewable Energy, Elsevier, vol. 36(11), pages 2831-2837.
    10. Adeoti, O. & Oyewole, B.A. & Adegboyega, T.D., 2001. "Solar photovoltaic-based home electrification system for rural development in Nigeria: domestic load assessment," Renewable Energy, Elsevier, vol. 24(1), pages 155-161.
    11. Al-Sharafi, Abdullah & Sahin, Ahmet Z. & Ayar, Tahir & Yilbas, Bekir S., 2017. "Techno-economic analysis and optimization of solar and wind energy systems for power generation and hydrogen production in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 33-49.
    12. Kaldellis, John K. & Kapsali, Marina & Kavadias, Kosmas A., 2014. "Temperature and wind speed impact on the efficiency of PV installations. Experience obtained from outdoor measurements in Greece," Renewable Energy, Elsevier, vol. 66(C), pages 612-624.
    13. Ouedraogo, Bachir I. & Kouame, S. & Azoumah, Y. & Yamegueu, D., 2015. "Incentives for rural off grid electrification in Burkina Faso using LCOE," Renewable Energy, Elsevier, vol. 78(C), pages 573-582.
    14. de Christo, Tiago Malavazi & Fardin, Jussara Farias & Simonetti, Domingos Sávio Lyrio & Encarnação, Lucas Frizera & de Alvarez, Cristina Engel, 2016. "Design and analysis of hybrid energy systems: The Brazilian Antarctic Station case," Renewable Energy, Elsevier, vol. 88(C), pages 236-246.
    15. Gujba, H. & Mulugetta, Y. & Azapagic, A., 2010. "Environmental and economic appraisal of power generation capacity expansion plan in Nigeria," Energy Policy, Elsevier, vol. 38(10), pages 5636-5652, October.
    16. Sokona, Youba & Mulugetta, Yacob & Gujba, Haruna, 2012. "Widening energy access in Africa: Towards energy transition," Energy Policy, Elsevier, vol. 47(S1), pages 3-10.
    17. Cayir Ervural, Beyzanur & Evren, Ramazan & Delen, Dursun, 2018. "A multi-objective decision-making approach for sustainable energy investment planning," Renewable Energy, Elsevier, vol. 126(C), pages 387-402.
    18. Kumar, Abhishek & Sah, Bikash & Singh, Arvind R. & Deng, Yan & He, Xiangning & Kumar, Praveen & Bansal, R.C., 2017. "A review of multi criteria decision making (MCDM) towards sustainable renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 596-609.
    19. Okoye, Chiemeka Onyeka & Taylan, Onur & Baker, Derek K., 2016. "Solar energy potentials in strategically located cities in Nigeria: Review, resource assessment and PV system design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 550-566.
    20. Shahzad, M. Kashif & Zahid, Adeem & ur Rashid, Tanzeel & Rehan, Mirza Abdullah & Ali, Muzaffar & Ahmad, Mueen, 2017. "Techno-economic feasibility analysis of a solar-biomass off grid system for the electrification of remote rural areas in Pakistan using HOMER software," Renewable Energy, Elsevier, vol. 106(C), pages 264-273.
    21. Çolak, Murat & Kaya, İhsan, 2017. "Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 840-853.
    22. Khare, Vikas & Nema, Savita & Baredar, Prashant, 2016. "Solar–wind hybrid renewable energy system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 23-33.
    23. Khan, Mohammad Junaid & Yadav, Amit Kumar & Mathew, Lini, 2017. "Techno economic feasibility analysis of different combinations of PV-Wind-Diesel-Battery hybrid system for telecommunication applications in different cities of Punjab, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 577-607.
    24. Şengül, Ümran & Eren, Miraç & Eslamian Shiraz, Seyedhadi & Gezder, Volkan & Şengül, Ahmet Bilal, 2015. "Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey," Renewable Energy, Elsevier, vol. 75(C), pages 617-625.
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