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Energy Conservation in an Office Building Using an Enhanced Blind System Control

Author

Listed:
  • Edorta Carrascal-Lekunberri

    (Automatic Control Group, Department of Thermal Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain)

  • Izaskun Garrido

    (Automatic Control Group, Department of Automatic Control and System Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain)

  • Bram Van der Heijde

    (EnergyVille, 3600 Genk, Belgium
    Simulation of Thermal Systems, Division TME, Department of Mechanical Engineering, KU Leuven, 3001 Leuven, Belgium
    Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium)

  • Aitor J. Garrido

    (Automatic Control Group, Department of Automatic Control and System Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain)

  • José María Sala

    (Department of Thermal Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain)

  • Lieve Helsen

    (EnergyVille, 3600 Genk, Belgium
    Simulation of Thermal Systems, Division TME, Department of Mechanical Engineering, KU Leuven, 3001 Leuven, Belgium)

Abstract

The two spaces office module is usually considered as a representative case-study to analyse the energetic improvement in office buildings. In this kind of buildings, the use of a model predictive control (MPC) scheme for the climate system control provides energy savings over 15% in comparison to classic control policies. This paper focuses on the influence of solar radiation on the climate control of the office module under Belgian weather conditions. Considering MPC as main climate control, it proposes a novel distributed enhanced control for the blind system (BS) that takes into account part of the predictive information of the MPC. In addition to the savings that are usually achieved by MPC, it adds a potential 15% improvement in global energy use with respect to the usually proposed BS hysteresis control. Moreover, from the simulation results it can be concluded that the thermal comfort is also improved. The proposed BS scheme increases the energy use ratio between the thermally activated building system (TABS) and air-handling unit (AHU); therefore increasing the use of TABS and allowing economic savings, due to the use of more cost-effective thermal equipment.

Suggested Citation

  • Edorta Carrascal-Lekunberri & Izaskun Garrido & Bram Van der Heijde & Aitor J. Garrido & José María Sala & Lieve Helsen, 2017. "Energy Conservation in an Office Building Using an Enhanced Blind System Control," Energies, MDPI, vol. 10(2), pages 1-23, February.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:196-:d:89877
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    References listed on IDEAS

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    1. Široký, Jan & Oldewurtel, Frauke & Cigler, Jiří & Prívara, Samuel, 2011. "Experimental analysis of model predictive control for an energy efficient building heating system," Applied Energy, Elsevier, vol. 88(9), pages 3079-3087.
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    4. Zhenya Ji & Xueliang Huang & Changfu Xu & Houtao Sun, 2016. "Accelerated Model Predictive Control for Electric Vehicle Integrated Microgrid Energy Management: A Hybrid Robust and Stochastic Approach," Energies, MDPI, vol. 9(11), pages 1-18, November.
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    6. Edorta Carrascal & Izaskun Garrido & Aitor J. Garrido & José María Sala, 2016. "Optimization of the Heating System Use in Aged Public Buildings via Model Predictive Control," Energies, MDPI, vol. 9(4), pages 1-20, March.
    7. Min Gyung Yu & Yujin Nam, 2016. "Study on the Optimum Design Method of Heat Source Systems with Heat Storage Using a Genetic Algorithm," Energies, MDPI, vol. 9(10), pages 1-17, October.
    8. Izaskun Garrido & Aitor J. Garrido & Stefano Coda & Hoang B. Le & Jean Marc Moret, 2016. "Real Time Hybrid Model Predictive Control for the Current Profile of the Tokamak à Configuration Variable (TCV)," Energies, MDPI, vol. 9(8), pages 1-14, August.
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    Cited by:

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    2. Mpho J. Lencwe & SP Daniel Chowdhury & Sipho Mahlangu & Maxwell Sibanyoni & Louwrance Ngoma, 2021. "An Efficient HVAC Network Control for Safety Enhancement of a Typical Uninterrupted Power Supply Battery Storage Room," Energies, MDPI, vol. 14(16), pages 1-23, August.

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