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A Multi-Objective Optimization Approach towards a Proposed Smart Apartment with Demand-Response in Japan

Author

Listed:
  • Yuta Susowake

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

  • Hasan Masrur

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

  • Tetsuya Yabiku

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

  • Tomonobu Senjyu

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

  • Abdul Motin Howlader

    (Department of Electrical Engineering, University of Hawaii, Manoa, 1680 East-West Road, Honolulu, HI 96822, USA
    These authors contributed equally to this work.)

  • Mamdouh Abdel-Akher

    (Department of Electrical Engineering, Faculty of Engineering, Aswan University, 81542 Aswan, Egypt
    Department of Electrical Engineering, Unaizah College of Engineering, Qassim University, Unaizah 56453, Saudi Arabia
    These authors contributed equally to this work.)

  • Ashraf M. Hemeida

    (Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Sahary, 51528 Aswan, Egypt
    These authors contributed equally to this work.)

Abstract

In Japan, residents of apartments are generally contracted to receive low voltage electricity from electric utilities. In recent years, there has been an increasing number of high voltage batch power receiving contracts for condominiums. In this research, a high voltage batch receiving contractor introduces a demand–response in a low voltage power receiving contract, which maximizes the profit of a high voltage batch receiving contractor and minimizes the electricity charge of residents by utilizing battery storage, electric vehicles (EV), and heat pumps. A multi-objective optimization algorithm calculates a Pareto solution for the relationship between two objective trade-offs in the MATLAB ® environment.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2019:i:1:p:127-:d:302098
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    References listed on IDEAS

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    Cited by:

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    2. Giovanni M. Chiri & Maddalena Achenza & Anselmo Canì & Leonardo Neves & Luca Tendas & Simone Ferrari, 2020. "The Microclimate Design Process in Current African Development: The UEM Campus in Maputo, Mozambique," Energies, MDPI, vol. 13(9), pages 1-22, May.
    3. Almudena Campos-Jiménez & José Antonio Vílchez-Membrilla & Clemente Cobos-Sánchez & Francisco Javier García-Pacheco, 2022. "Analytical Solutions to Minimum-Norm Problems," Mathematics, MDPI, vol. 10(9), pages 1-18, April.
    4. Moiz Masood Syed & Gregory M. Morrison & James Darbyshire, 2020. "Energy Allocation Strategies for Common Property Load Connected to Shared Solar and Battery Storage Systems in Strata Apartments," Energies, MDPI, vol. 13(22), pages 1-28, November.
    5. Soledad Moreno-Pulido & Francisco Javier Garcia-Pacheco & Clemente Cobos-Sanchez & Alberto Sanchez-Alzola, 2020. "Exact Solutions to the Maxmin Problem max‖ Ax ‖ Subject to ‖ Bx ‖≤1," Mathematics, MDPI, vol. 8(1), pages 1-25, January.
    6. Yongyi Huang & Hasan Masrur & Ryuto Shigenobu & Ashraf Mohamed Hemeida & Alexey Mikhaylov & Tomonobu Senjyu, 2021. "A Comparative Design of a Campus Microgrid Considering a Multi-Scenario and Multi-Objective Approach," Energies, MDPI, vol. 14(11), pages 1-20, May.
    7. Ferenc Szodrai, 2020. "Heat Sink Shape and Topology Optimization with Pareto-Vector Length Optimization for Air Cooling," Energies, MDPI, vol. 13(7), pages 1-15, April.

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