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Optimal Model for Energy Management Strategy in Smart Building with Energy Storage Systems and Electric Vehicles

Author

Listed:
  • Francisco David Moya

    (GESETIC Research Group, School of Electrical Engineering, Universidad Distrital Francisco José de Caldas, 111711 Bogotá, Colombia)

  • José Luis Torres-Moreno

    (CIESOL Joint Center University of Almería-CIEMAT, 04120 Almería, Spain)

  • José Domingo Álvarez

    (CIESOL Joint Center University of Almería-CIEMAT, 04120 Almería, Spain)

Abstract

The aim of this work was to develop an optimal model for an energy management strategy in a real micro-grid, which involves a smart building, a photovoltaic system with storage, and a plug-in full electric vehicle. A controller based on a mathematical algorithm was the core of each strategy, which directly acted on a relay board managing the interconnection between the different elements comprising the micro-grid. The development of an optimization model involving binary variables required an efficient code that achieved solutions in a short time. The analyzed case-study corresponded to the solar energy research center (CIESOL) smart building, a bioclimatic building, that is located at the University of Almería (Spain), designated to research in renewable energies. Using the methodologies described in this work, the total cost of the smart building energy consumption was minimized by decreasing the power supplied from the grid, especially at peak hours. Highlighting the use of a simple model that provided better performance than the current state of the art methodologies. The optimal model for energy management strategy demonstrated the advantages of using classical optimization techniques to solve this specific optimization problem, compared to a rule-based controller. The linear modeling was capable of producing a simple algorithm with less code development and a reduction in the computational effort.

Suggested Citation

  • Francisco David Moya & José Luis Torres-Moreno & José Domingo Álvarez, 2020. "Optimal Model for Energy Management Strategy in Smart Building with Energy Storage Systems and Electric Vehicles," Energies, MDPI, vol. 13(14), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3605-:d:383924
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    References listed on IDEAS

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    1. Rosiek, Sabina & Batlles, Francisco Javier, 2013. "Renewable energy solutions for building cooling, heating and power system installed in an institutional building: Case study in southern Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 147-168.
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    4. Yongli Wang & Yujing Huang & Yudong Wang & Fang Li & Yuanyuan Zhang & Chunzheng Tian, 2018. "Operation Optimization in a Smart Micro-Grid in the Presence of Distributed Generation and Demand Response," Sustainability, MDPI, vol. 10(3), pages 1-25, March.
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    6. Jose Luis Torres-Moreno & Antonio Gimenez-Fernandez & Manuel Perez-Garcia & Francisco Rodriguez, 2018. "Energy Management Strategy for Micro-Grids with PV-Battery Systems and Electric Vehicles," Energies, MDPI, vol. 11(3), pages 1-13, February.
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    Cited by:

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    2. Handrea Bernando Tambunan & Dzikri Firmansyah Hakam & Iswan Prahastono & Anita Pharmatrisanti & Andreas Putro Purnomoadi & Siti Aisyah & Yonny Wicaksono & I Gede Ryan Sandy, 2020. "The Challenges and Opportunities of Renewable Energy Source (RES) Penetration in Indonesia: Case Study of Java-Bali Power System," Energies, MDPI, vol. 13(22), pages 1-22, November.
    3. Álex Omar Topa Gavilema & José Domingo Álvarez & José Luis Torres Moreno & Manuel Pérez García, 2021. "Towards Optimal Management in Microgrids: An Overview," Energies, MDPI, vol. 14(16), pages 1-25, August.

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