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Development of Stand-Alone Green Hybrid System for Rural Areas

Author

Listed:
  • Solomon Kiros

    (Department of Electrical and Computer Engineering, Mekelle University, Mekelle 0231, Ethiopia)

  • Baseem Khan

    (Department of Electrical and Computer Engineering, Hawassa University, Hawassa 05, Ethiopia)

  • Sanjeevikumar Padmanaban

    (Center for Bio-Energy and Green Engineering, Department of Energy Technology, Aalborg University, Niels Bohrs Vej 8, 6700 Esbjerg, Denmark)

  • Hassan Haes Alhelou

    (Department of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering, Tishreen University, Lattakia 2230, Syria)

  • Zbigniew Leonowicz

    (Faculty of Electrical Engineering, Wroclaw University of Science and Technology, Wyb. Wyspianskiego 27, 50370 Wroclaw, Poland)

  • Om Prakash Mahela

    (Power System Planning Division, Rajasthan Rajya Vidyut Prasaran Nigam Ltd., Jaipur 302005, India)

  • Jens Bo Holm-Nielsen

    (Center for Bio-Energy and Green Engineering, Department of Energy Technology, Aalborg University, Niels Bohrs Vej 8, 6700 Esbjerg, Denmark)

Abstract

Despite the tremendous efforts exhibited by various utilities around the world during the past few years, there are still exceedingly many remote regions unreached by the electrical grid. For those regions, the enormous available potential of renewable energy resources is believed to be useful for the development of a stand-alone power supply system. This paper presents the modeling of a stand-alone hybrid system for the remote area of Ethiopia. A comparison of the economic performance of various scenarios of a stand-alone photovoltaic (PV)-wind hybrid system, with battery storage and diesel as a backup for electrifying remote rural areas, is presented. Therefore, a practical example, Kutur village of Awlio kebele of the Axum district, Ethiopia (which is 30 km away from the closest national grid) is considered for this research. Two electric load scenarios are estimated by considering the set of incandescent and efficient lamps for lighting for the 120 existing households. The above-mentioned solar radiation and wind speed are then used as an input to simulate the hybrid set-up for the high and low load estimation using HOMER software. The simulation result shows that the net present costs (NPC) corresponding to the high and low load scenarios is $262,470 and $180,731, respectively. Besides, an essential load forecasting is performed to see the effect of the increase in electric demand of the community on the required investment to install a stand-alone hybrid set-up. The NPC after load forecasting is found to be more than three folds of the NPC required for the reference year. In both cases, the simulation results indicate that using a stand-alone PV-wind hybrid system with battery storage and a diesel generator as a backup for electrifying Kutur village is cost-effective and comparable against the cost required for electrifying the village by extending the grid.

Suggested Citation

  • Solomon Kiros & Baseem Khan & Sanjeevikumar Padmanaban & Hassan Haes Alhelou & Zbigniew Leonowicz & Om Prakash Mahela & Jens Bo Holm-Nielsen, 2020. "Development of Stand-Alone Green Hybrid System for Rural Areas," Sustainability, MDPI, vol. 12(9), pages 1-14, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:9:p:3808-:d:355068
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    References listed on IDEAS

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    1. Aberilla, Jhud Mikhail & Gallego-Schmid, Alejandro & Stamford, Laurence & Azapagic, Adisa, 2020. "Design and environmental sustainability assessment of small-scale off-grid energy systems for remote rural communities," Applied Energy, Elsevier, vol. 258(C).
    2. Gabra, Samuel & Miles, John & Scott, Stuart A., 2019. "Techno-economic analysis of stand-alone wind micro-grids, compared with PV and diesel in Africa," Renewable Energy, Elsevier, vol. 143(C), pages 1928-1938.
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    2. Khalid Alnowibet & Andres Annuk & Udaya Dampage & Mohamed A. Mohamed, 2021. "Effective Energy Management via False Data Detection Scheme for the Interconnected Smart Energy Hub–Microgrid System under Stochastic Framework," Sustainability, MDPI, vol. 13(21), pages 1-32, October.
    3. Gang Chen & Chang Liu & Chengwei Fan & Xiaoyan Han & Huabo Shi & Guanhong Wang & Dongping Ai, 2020. "Research on Damping Control Index of Ultra-Low-Frequency Oscillation in Hydro-Dominant Power Systems," Sustainability, MDPI, vol. 12(18), pages 1-13, September.

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