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A Demand Response Implementation with Building Energy Management System

Author

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  • Prasertsak Charoen

    (National Electronics and Computer Technology Center, National Science and Technology Development Agency, 112 Phahonyothin Road, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand)

  • Nathavuth Kitbutrawat

    (National Electronics and Computer Technology Center, National Science and Technology Development Agency, 112 Phahonyothin Road, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand)

  • Jasada Kudtongngam

    (National Electronics and Computer Technology Center, National Science and Technology Development Agency, 112 Phahonyothin Road, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand)

Abstract

The demand response (DR) program is one of the most promising components in the development of the Smart Grid. However, there are many challenges in practical operation to improve the existing and outdated system to comply with the DR programs. In Thailand, the major pain point of the office building owner in the DR program is the additional equipment, modification and operation cost of the existing equipment. Moreover, the sophisticated solution and control are other obstacles that need more measurements and data, and they make the operation difficult to work with. In this paper, we implemented a simple yet cost-effective hardware and software solution targeting an outdated air-conditioning system without voiding the warranty of the outdated equipment and without installing any additional measurements. In addition, the proposed operation is designed to be easy to operate under the equipment limitation and unskilled labor. More importantly, indoor temperature setpoint schedules during the DR event are forecasted with some public datasets to determine the capacity of the energy management system that can reduce the power consumption in the office building without an effect on the occupants’ comfort. To confirm the practicality of the proposed solution, the actual operation of the proposed solution can achieve the maximum power reduction at 19.80 kW (43.79% of the maximum power consumption) while keeping only 1 °C of difference from the typical room temperature (26–28 °C).

Suggested Citation

  • Prasertsak Charoen & Nathavuth Kitbutrawat & Jasada Kudtongngam, 2022. "A Demand Response Implementation with Building Energy Management System," Energies, MDPI, vol. 15(3), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1220-:d:744045
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    References listed on IDEAS

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    Cited by:

    1. Jonas Sievers & Thomas Blank, 2023. "A Systematic Literature Review on Data-Driven Residential and Industrial Energy Management Systems," Energies, MDPI, vol. 16(4), pages 1-21, February.
    2. Eder Andrade da Silva & Carlos Alejandro Urzagasti & Joylan Nunes Maciel & Jorge Javier Gimenez Ledesma & Marco Roberto Cavallari & Oswaldo Hideo Ando Junior, 2022. "Development of a Self-Calibrated Embedded System for Energy Management in Low Voltage," Energies, MDPI, vol. 15(22), pages 1-21, November.
    3. Fernando Cassola & Leonel Morgado & António Coelho & Hugo Paredes & António Barbosa & Helga Tavares & Filipe Soares, 2022. "Using Virtual Choreographies to Identify Office Users’ Behaviors to Target Behavior Change Based on Their Potential to Impact Energy Consumption," Energies, MDPI, vol. 15(12), pages 1-21, June.

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