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Hybrid Energy System with Optimized Storage for Improvement of Sustainability in a Small Town

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  • Fengchang Jiang

    (Taizhou Polytechnic College, Taizhou 225300, Jiangsu, China
    Tongji University Complex Engineering Management Research Institute, Shanghai 200092, China)

  • Haiyan Xie

    (Department of Technology, College of Applied Science and Technology, Illinois State University, Normal, IL 61790-5100, USA)

  • Oliver Ellen

    (Department of Technology, College of Applied Science and Technology, Illinois State University, Normal, IL 61790-5100, USA)

Abstract

With the rise of renewable energy comes significant challenges and benefits. The current studies on the incorporation of renewable-energy policies and energy-storage technologies attempt to address the optimization of hybrid energy systems (HESs). However, there is a gap between the currents needs of HES in small towns for energy independence and the understanding of integrated optimization approaches for employing the technology. The purpose of this research is to determine the technical, systematic and financial requirements needed to allow a city or community to become independent of the utilization of traditional energy and develop a reliable program for a clean and environment-friendly energy supply. This paper presents the sensitivity analysis and Bayesian prediction (SABP) method for the optimized design of a hybrid photo-voltaic wind energy system. This method uses the actual data to analyze and compare the main, optimized and desired scenarios of HES designs. The results show that optimized design can minimize the cost of the energy generated while reliably matching local electricity demand. The SABP system helps to eliminate the dependence on traditional energy resources, reduce transition costs by purchasing electricity, and decrease the financial burden of a small city.

Suggested Citation

  • Fengchang Jiang & Haiyan Xie & Oliver Ellen, 2018. "Hybrid Energy System with Optimized Storage for Improvement of Sustainability in a Small Town," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:2034-:d:152772
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    1. José Manuel Salmerón Lissén & Laura Romero Rodríguez & Francisco Durán Parejo & Francisco José Sánchez de la Flor, 2018. "An Economic, Energy, and Environmental Analysis of PV/Micro-CHP Hybrid Systems: A Case Study of a Tertiary Building," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    2. Tatiane Silva Costa & Marcelo Gradella Villalva, 2020. "Technical Evaluation of a PV-Diesel Hybrid System with Energy Storage: Case Study in the Tapajós-Arapiuns Extractive Reserve, Amazon, Brazil," Energies, MDPI, vol. 13(11), pages 1-22, June.
    3. Laetitia Uwineza & Hyun-Goo Kim & Jan Kleissl & Chang Ki Kim, 2022. "Technical Control and Optimal Dispatch Strategy for a Hybrid Energy System," Energies, MDPI, vol. 15(8), pages 1-19, April.
    4. Aziz, Ali Saleh & Tajuddin, Mohammad Faridun Naim & Adzman, Mohd Rafi & Azmi, Azralmukmin & Ramli, Makbul A.M., 2019. "Optimization and sensitivity analysis of standalone hybrid energy systems for rural electrification: A case study of Iraq," Renewable Energy, Elsevier, vol. 138(C), pages 775-792.
    5. Makbul A.M. Ramli & H.R.E.H. Bouchekara & Abdulsalam S. Alghamdi, 2019. "Efficient Energy Management in a Microgrid with Intermittent Renewable Energy and Storage Sources," Sustainability, MDPI, vol. 11(14), pages 1-28, July.
    6. Ali Saleh Aziz & Mohammad Faridun Naim Tajuddin & Mohd Rafi Adzman & Makbul A. M. Ramli & Saad Mekhilef, 2019. "Energy Management and Optimization of a PV/Diesel/Battery Hybrid Energy System Using a Combined Dispatch Strategy," Sustainability, MDPI, vol. 11(3), pages 1-26, January.

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