IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i1p117-d87821.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/1/117/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/9/1/117/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Ge & Zhang, Qi & Li, Hailong & McLellan, Benjamin C. & Chen, Siyuan & Li, Yan & Tian, Yulu, 2017. "Study on the promotion impact of demand response on distributed PV penetration by using non-cooperative game theoretical analysis," Applied Energy, Elsevier, vol. 185(P2), pages 1869-1878.
    2. van der Kam, Mart & van Sark, Wilfried, 2015. "Smart charging of electric vehicles with photovoltaic power and vehicle-to-grid technology in a microgrid; a case study," Applied Energy, Elsevier, vol. 152(C), pages 20-30.
    3. Yongyi Huang & Atsushi Yona & Hiroshi Takahashi & Ashraf Mohamed Hemeida & Paras Mandal & Alexey Mikhaylov & Tomonobu Senjyu & Mohammed Elsayed Lotfy, 2021. "Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation," Sustainability, MDPI, vol. 13(11), pages 1-14, May.
    4. Omais Abdur Rehman & Valeria Palomba & Andrea Frazzica & Luisa F. Cabeza, 2021. "Enabling Technologies for Sector Coupling: A Review on the Role of Heat Pumps and Thermal Energy Storage," Energies, MDPI, vol. 14(24), pages 1-30, December.
    5. Valdés, R. & Lucio, J.H. & Rodríguez, L.R., 2013. "Operational simulation of wind power plants for electrolytic hydrogen production connected to a distributed electricity generation grid," Renewable Energy, Elsevier, vol. 53(C), pages 249-257.
    6. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    7. Karabiber, Abdulkerim & Keles, Cemal & Kaygusuz, Asim & Alagoz, B. Baykant, 2013. "An approach for the integration of renewable distributed generation in hybrid DC/AC microgrids," Renewable Energy, Elsevier, vol. 52(C), pages 251-259.
    8. GhaffarianHoseini, AmirHosein & Dahlan, Nur Dalilah & Berardi, Umberto & GhaffarianHoseini, Ali & Makaremi, Nastaran, 2013. "The essence of future smart houses: From embedding ICT to adapting to sustainability principles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 593-607.
    9. Vanhoudt, D. & Geysen, D. & Claessens, B. & Leemans, F. & Jespers, L. & Van Bael, J., 2014. "An actively controlled residential heat pump: Potential on peak shaving and maximization of self-consumption of renewable energy," Renewable Energy, Elsevier, vol. 63(C), pages 531-543.
    10. Charalambous, Chrysanthos & Heracleous, Chryso & Michael, Aimilios & Efthymiou, Venizelos, 2023. "Hybrid AC-DC distribution system for building integrated photovoltaics and energy storage solutions for heating-cooling purposes. A case study of a historic building in Cyprus," Renewable Energy, Elsevier, vol. 216(C).
    11. Yoza, Akihiro & Yona, Atsushi & Senjyu, Tomonobu & Funabashi, Toshihisa, 2014. "Optimal capacity and expansion planning methodology of PV and battery in smart house," Renewable Energy, Elsevier, vol. 69(C), pages 25-33.
    12. Yasuaki Miyazato & Hayato Tahara & Kosuke Uchida & Cirio Celestino Muarapaz & Abdul Motin Howlader & Tomonobu Senjyu, 2016. "Multi-Objective Optimization for Smart House Applied Real Time Pricing Systems," Sustainability, MDPI, vol. 8(12), pages 1-22, December.
    13. Fischer, David & Madani, Hatef, 2017. "On heat pumps in smart grids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 342-357.
    14. Yuta Susowake & Hasan Masrur & Tetsuya Yabiku & Tomonobu Senjyu & Abdul Motin Howlader & Mamdouh Abdel-Akher & Ashraf M. Hemeida, 2019. "A Multi-Objective Optimization Approach towards a Proposed Smart Apartment with Demand-Response in Japan," Energies, MDPI, vol. 13(1), pages 1-14, December.
    15. Korkas, Christos D. & Baldi, Simone & Michailidis, Iakovos & Kosmatopoulos, Elias B., 2016. "Occupancy-based demand response and thermal comfort optimization in microgrids with renewable energy sources and energy storage," Applied Energy, Elsevier, vol. 163(C), pages 93-104.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:9:y:2017:i:1:p:117-:d:87821. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.