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Energy Evaluation and Energy Savings Analysis with the 2 Selection of AC Systems in an Educational Building

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  • Milen Balbis-Morejón

    (Department of Energy, Universidad de la Costa, Calle 58 No. 55-66, Barranquilla 080002, Colombia)

  • Juan J. Cabello-Eras

    (Department of Energy, Universidad de la Costa, Calle 58 No. 55-66, Barranquilla 080002, Colombia)

  • Javier M. Rey-Hernández

    (Higher Polytechnic School, Universidad Europea Miguel de Cervantes, Padre Julio Chevalier, 47012 Valladolid, Spain)

  • Francisco J. Rey-Martínez

    (Department of Energy and Fluid Mechanics, Engineering School (EII), University of Valladolid, Paseo del Cauce 59, 47011 Valladolid, Spain)

Abstract

This paper presents an energy performance assessment on an educational building in Barranquilla, Colombia. The electricity consumption performance was assessed using the software DesignBuilder for two different Air Conditioning (AC) systems. The current electricity intensity is 215.3 kWh/m 2 -year and centralized AC systems with individual fan coils and a water chiller share 66% of the total consumption and lighting at 16%. The simulation of the AC technology change to Variable Refrigerant Flow (VRF) resulted in an improvement of 38% in AC energy intensity with 88 kWh/m 2 -year and significant savings in electricity consumption and life-cycle cost of AC systems in buildings.

Suggested Citation

  • Milen Balbis-Morejón & Juan J. Cabello-Eras & Javier M. Rey-Hernández & Francisco J. Rey-Martínez, 2021. "Energy Evaluation and Energy Savings Analysis with the 2 Selection of AC Systems in an Educational Building," Sustainability, MDPI, vol. 13(14), pages 1-10, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7527-:d:589211
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    References listed on IDEAS

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    1. Zhao, Hai-xiang & Magoulès, Frédéric, 2012. "A review on the prediction of building energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3586-3592.
    2. Harish, V.S.K.V. & Kumar, Arun, 2016. "A review on modeling and simulation of building energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1272-1292.
    3. Milen Balbis-Morejón & Javier M. Rey-Hernández & Carlos Amaris-Castilla & Eloy Velasco-Gómez & Julio F. San José-Alonso & Francisco Javier Rey-Martínez, 2020. "Experimental Study and Analysis of Thermal Comfort in a University Campus Building in Tropical Climate," Sustainability, MDPI, vol. 12(21), pages 1-18, October.
    4. Li, Qiong & Meng, Qinglin & Cai, Jiejin & Yoshino, Hiroshi & Mochida, Akashi, 2009. "Applying support vector machine to predict hourly cooling load in the building," Applied Energy, Elsevier, vol. 86(10), pages 2249-2256, October.
    5. Papakostas, K.T. & Michopoulos, A.K. & Kyriakis, N.A., 2009. "Equivalent full-load hours for estimating heating and cooling energy requirements in buildings: Greece case study," Applied Energy, Elsevier, vol. 86(5), pages 757-761, May.
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    Cited by:

    1. Georges Atallah & Faris Tarlochan, 2021. "Comparison between Variable and Constant Refrigerant Flow Air Conditioning Systems in Arid Climate: Life Cycle Cost Analysis and Energy Savings," Sustainability, MDPI, vol. 13(18), pages 1-13, September.

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