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An optimization model to design and analysis of renewable energy supply strategies for residential sector

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  • Han, Seulki
  • Kim, Jiyong

Abstract

In this study, we develop a new optimization-based framework to design and analyze renewable energy systems for the residential sector. To achieve this, we first simulate different scenarios for integrated energy systems, which include different types of renewable resources and various new technologies along with the existing technologies in the current energy system. We then develop a new network optimization model to feature the underlying system, which includes minimizing the energy cost as an object function with different constraints. Finally, we apply the model to the design problem regarding the energy supply system faced by the residential sector of Jeju Island, Korea. As a result, we are able to identify the optimal configuration for the systems, and comparatively analyze the economic performance of the optimal and alternative energy systems. We also analyze the sensitivity of the main cost-drivers for the total required cost.

Suggested Citation

  • Han, Seulki & Kim, Jiyong, 2017. "An optimization model to design and analysis of renewable energy supply strategies for residential sector," Renewable Energy, Elsevier, vol. 112(C), pages 222-234.
    • Handle: RePEc:eee:renene:v:112:y:2017:i:c:p:222-234
    DOI: 10.1016/j.renene.2017.05.030
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    References listed on IDEAS

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    1. Cho, Seolhee & Kim, Jiyong, 2015. "Feasibility and impact analysis of a renewable energy source (RES)-based energy system in Korea," Energy, Elsevier, vol. 85(C), pages 317-328.
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    4. Li, Chong & Ge, Xinfeng & Zheng, Yuan & Xu, Chang & Ren, Yan & Song, Chenguang & Yang, Chunxia, 2013. "Techno-economic feasibility study of autonomous hybrid wind/PV/battery power system for a household in Urumqi, China," Energy, Elsevier, vol. 55(C), pages 263-272.
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    6. Jennings, Mark & Fisk, David & Shah, Nilay, 2014. "Modelling and optimization of retrofitting residential energy systems at the urban scale," Energy, Elsevier, vol. 64(C), pages 220-233.
    7. Kim, Jiyong & Miller, James E. & Maravelias, Christos T. & Stechel, Ellen B., 2013. "Comparative analysis of environmental impact of S2P (Sunshine to Petrol) system for transportation fuel production," Applied Energy, Elsevier, vol. 111(C), pages 1089-1098.
    8. Ko, Kyungnam & Kim, Kyoungbo & Huh, Jongchul, 2010. "Variations of wind speed in time on Jeju Island, Korea," Energy, Elsevier, vol. 35(8), pages 3381-3387.
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    Citations

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    Cited by:

    1. Ma, Weiwu & Xue, Xinpei & Liu, Gang, 2018. "Techno-economic evaluation for hybrid renewable energy system: Application and merits," Energy, Elsevier, vol. 159(C), pages 385-409.
    2. Pierluigi Morano & Francesco Tajani & Felicia Di Liddo & Paola Amoruso, 2024. "A Feasibility Analysis of Energy Retrofit Initiatives Aimed at the Existing Property Assets Decarbonisation," Sustainability, MDPI, vol. 16(8), pages 1-19, April.
    3. Mohammad K. Najjar & Eduardo Linhares Qualharini & Ahmed W. A. Hammad & Dieter Boer & Assed Haddad, 2019. "Framework for a Systematic Parametric Analysis to Maximize Energy Output of PV Modules Using an Experimental Design," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    4. Seung Hyo Baek & Byung Hee Lee, 2019. "Optimal Decision-Making of Renewable Energy Systems in Buildings in the Early Design Stage," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    5. Maman Ali, M. Moustapha & Yu, Qian, 2021. "Assessment of the impact of renewable energy policy on sustainable energy for all in West Africa," Renewable Energy, Elsevier, vol. 180(C), pages 544-551.

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