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Multi-Objective Optimization for Equipment Capacity in Off-Grid Smart House

Author

Listed:
  • Yasuaki Miyazato

    (Faculty of Engineering, University of the Ryukyus, 1 Senbaru Nishihara-cho Nakagami, Okinawa 903-0213, Japan)

  • Shota Tobaru

    (Faculty of Engineering, University of the Ryukyus, 1 Senbaru Nishihara-cho Nakagami, Okinawa 903-0213, Japan
    These authors contributed equally to this work.)

  • Kosuke Uchida

    (Department of Electrical Engineering, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki Noda, Chiba 278-8510, Japan
    These authors contributed equally to this work.)

  • Cirio Celestino Muarapaz

    (Faculty of Engineering, University of the Ryukyus, 1 Senbaru Nishihara-cho Nakagami, Okinawa 903-0213, Japan
    These authors contributed equally to this work.)

  • Abdul Motin Howlader

    (Hawaii Natural Energy Institute, University of Hawaii, Manoa Honolulu, HI 96822, USA
    These authors contributed equally to this work.)

  • Tomonobu Senjyu

    (Faculty of Engineering, University of the Ryukyus, 1 Senbaru Nishihara-cho Nakagami, Okinawa 903-0213, Japan
    These authors contributed equally to this work.)

Abstract

Recently, the off-grid smart house has been attracting attention in Japan for considering global warming. Moreover, the selling price of surplus power from the renewable energy system by Feed-In Tariff (FIT) has declined. Therefore, this paper proposes an off-grid smart house with the introduced Photovoltaic (PV) system, Solar Collector (SC) system, Hot Water Heat Pump (HWHP), fixed battery and Electric Vehicle (EV). In this research, a multi-objective optimization problem is considered to minimize the introduced capacity and shortage of the power supply in the smart house. It can perform the electric power procurement from the EV charging station for the compensation of a shortage of power supply. From the simulation results, it is shown that the shortage of the power supply can be reduced by the compensation of the EV power. Furthermore, considering the uncertainty for PV output power, reliable simulation results can be obtained.

Suggested Citation

  • Yasuaki Miyazato & Shota Tobaru & Kosuke Uchida & Cirio Celestino Muarapaz & Abdul Motin Howlader & Tomonobu Senjyu, 2017. "Multi-Objective Optimization for Equipment Capacity in Off-Grid Smart House," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:1:p:117-:d:87821
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    References listed on IDEAS

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    1. Tanaka, Kenichi & Yoza, Akihiro & Ogimi, Kazuki & Yona, Atsushi & Senjyu, Tomonobu & Funabashi, Toshihisa & Kim, Chul-Hwan, 2012. "Optimal operation of DC smart house system by controllable loads based on smart grid topology," Renewable Energy, Elsevier, vol. 39(1), pages 132-139.
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    Cited by:

    1. Abdul Motin Howlader & Hidehito Matayoshi & Saeed Sepasi & Tomonobu Senjyu, 2018. "Design and Line Fault Protection Scheme of a DC Microgrid Based on Battery Energy Storage System," Energies, MDPI, vol. 11(7), pages 1-22, July.
    2. Van Can Nguyen & Chi-Tai Wang & Ying-Jiun Hsieh, 2021. "Electrification of Highway Transportation with Solar and Wind Energy," Sustainability, MDPI, vol. 13(10), pages 1-28, May.
    3. Xu, Fangqiu & Liu, Jicheng & Lin, Shuaishuai & Dai, Qiongjie & Li, Cunbin, 2018. "A multi-objective optimization model of hybrid energy storage system for non-grid-connected wind power: A case study in China," Energy, Elsevier, vol. 163(C), pages 585-603.
    4. Seung-Hoon Park & Jung-Yeol Kim & Yong-Sung Jang & Eui-Jong Kim, 2017. "Development of a Multi-Objective Sizing Method for Borehole Heat Exchangers during the Early Design Phase," Sustainability, MDPI, vol. 9(10), pages 1-14, October.

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