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Scheduling of Air Conditioning and Thermal Energy Storage Systems Considering Demand Response Programs

Author

Listed:
  • Ali Dargahi

    (Tabriz Electric Power Distribution Company, Tabriz 5157694375, Iran
    Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran
    These authors contributed equally to this work.)

  • Khezr Sanjani

    (Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran
    Niroo Research Institute, Tehran 1468613113, Iran
    These authors contributed equally to this work.)

  • Morteza Nazari-Heris

    (Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran
    Department of Architectural Engineering, Pennsylvania State University, State College, PA 16802, USA)

  • Behnam Mohammadi-Ivatloo

    (Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran
    Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam)

  • Sajjad Tohidi

    (Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran)

  • Mousa Marzband

    (Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne NE1 8ST, UK)

Abstract

The high penetration rate of renewable energy sources (RESs) in smart energy systems has both threat and opportunity consequences. On the positive side, it is inevitable that RESs are beneficial with respect to conventional energy resources from the environmental aspects. On the negative side, the RESs are a great source of uncertainty, which will make challenges for the system operators to cope with. To tackle the issues of the negative side, there are several methods to deal with intermittent RESs, such as electrical and thermal energy storage systems (TESSs). In fact, pairing RESs to electrical energy storage systems (ESSs) has favorable economic opportunities for the facility owners and power grid operators (PGO), simultaneously. Moreover, the application of demand-side management approaches, such as demand response programs (DRPs) on flexible loads, specifically thermal loads, is an effective solution through the system operation. To this end, in this work, an air conditioning system (A/C system) with a TESS has been studied as a way of volatility compensation of the wind farm forecast-errors (WFFEs). Additionally, the WFFEs are investigated from multiple visions to assist the dispatch of the storage facilities. The operation design is presented for the A/C systems in both day-ahead and real-time operations based on the specifications of WFFEs. Analyzing the output results, the main aims of the work, in terms of applying DRPs and make-up of WFFEs to the scheduling of A/C system and TESS, will be evaluated. The dispatched cooling and base loads show the superiority of the proposed method, which has a smoother curve compared to the original curve. Further, the WFFEs application has proved and demonstrated a way better function than the other uncertainty management techniques by committing and compensating the forecast errors of cooling loads.

Suggested Citation

  • Ali Dargahi & Khezr Sanjani & Morteza Nazari-Heris & Behnam Mohammadi-Ivatloo & Sajjad Tohidi & Mousa Marzband, 2020. "Scheduling of Air Conditioning and Thermal Energy Storage Systems Considering Demand Response Programs," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7311-:d:409792
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    References listed on IDEAS

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    Cited by:

    1. Chia-Sheng Tu & Yon-Hon Tsai & Ming-Tang Tsai & Chih-Liang Chen, 2025. "The Optimal Operation of Ice-Storage Air-Conditioning Systems by Considering Thermal Comfort and Demand Response," Energies, MDPI, vol. 18(10), pages 1-16, May.
    2. Ting Wang & Qiya Wang & Caiqing Zhang, 2021. "Research on the Optimal Operation of a Novel Renewable Multi-Energy Complementary System in Rural Areas," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    3. Mateusz Andrychowicz, 2021. "RES and ES Integration in Combination with Distribution Grid Development Using MILP," Energies, MDPI, vol. 14(2), pages 1-19, January.

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