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Hybrid Off-Grid SPV/WTG Power System for Remote Cellular Base Stations Towards Green and Sustainable Cellular Networks in South Korea

Author

Listed:
  • Mohammed H. Alsharif

    (Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea)

  • Jeong Kim

    (Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea)

Abstract

This paper aims to address the sustainability of power resources and environmental conditions for telecommunication base stations (BSs) at off-grid sites. Accordingly, this study examined the feasibility of using a hybrid solar photovoltaic (SPV)/wind turbine generator (WTG) system to feed the remote Long Term Evolution-macro base stations at off-grid sites of South Korea the energy necessary to minimise both the operational expenditure and greenhouse gas emissions. Three key aspects have been discussed: (i) optimal system architecture; (ii) energy yield analysis; and (iii) economic analysis. In addition, this study compares the feasibility of using a hybrid SPV/WTG system vs. a diesel generator. The simulation results show that by applying the proposed SPV/WTG system scheme to the cellular system, the total operational expenditure can be up to 48.52% more efficient and sustainability can be ensured with better planning by providing cleaner energy.

Suggested Citation

  • Mohammed H. Alsharif & Jeong Kim, 2016. "Hybrid Off-Grid SPV/WTG Power System for Remote Cellular Base Stations Towards Green and Sustainable Cellular Networks in South Korea," Energies, MDPI, vol. 10(1), pages 1-23, December.
    • Handle: RePEc:gam:jeners:v:10:y:2016:i:1:p:9-:d:85976
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    References listed on IDEAS

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    1. Nema, Pragya & Nema, R.K. & Rangnekar, Saroj, 2010. "Minimization of green house gases emission by using hybrid energy system for telephony base station site application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(6), pages 1635-1639, August.
    2. Kaldellis, J.K., 2010. "Optimum hybrid photovoltaic-based solution for remote telecommunication stations," Renewable Energy, Elsevier, vol. 35(10), pages 2307-2315.
    3. Mohammed H. Alsharif & Jeong Kim, 2016. "Optimal Solar Power System for Remote Telecommunication Base Stations: A Case Study Based on the Characteristics of South Korea’s Solar Radiation Exposure," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
    4. Asma Mohamad Aris & Bahman Shabani, 2015. "Sustainable Power Supply Solutions for Off-Grid Base Stations," Energies, MDPI, vol. 8(10), pages 1-38, September.
    5. Kusakana, Kanzumba & Vermaak, Herman Jacobus, 2013. "Hybrid renewable power systems for mobile telephony base stations in developing countries," Renewable Energy, Elsevier, vol. 51(C), pages 419-425.
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    Citations

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    Cited by:

    1. Mohammed H. Alsharif & Jeong Kim & Jin Hong Kim, 2017. "Green and Sustainable Cellular Base Stations: An Overview and Future Research Directions," Energies, MDPI, vol. 10(5), pages 1-27, April.
    2. Md. Sanwar Hossain & Abu Jahid & Khondoker Ziaul Islam & Mohammed H. Alsharif & Md. Fayzur Rahman, 2020. "Multi-Objective Optimum Design of Hybrid Renewable Energy System for Sustainable Energy Supply to a Green Cellular Networks," Sustainability, MDPI, vol. 12(9), pages 1-35, April.
    3. Ali Saleh Aziz & Mohammad Faridun Naim Tajuddin & Mohd Rafi Adzman & Makbul A. M. Ramli, 2021. "Impacts of albedo and atmospheric conditions on the efficiency of solar energy: a case study in temperate climate of Choman, Iraq," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 989-1018, January.
    4. Mohammed H. Alsharif & Jeong Kim & Jin Hong Kim, 2018. "Opportunities and Challenges of Solar and Wind Energy in South Korea: A Review," Sustainability, MDPI, vol. 10(6), pages 1-23, June.
    5. Sunghyeon Choi & Jin Hur, 2020. "An Ensemble Learner-Based Bagging Model Using Past Output Data for Photovoltaic Forecasting," Energies, MDPI, vol. 13(6), pages 1-16, March.

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