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CO2 based ventilation control in energy retrofit: An experimental assessment

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  • Schibuola, Luigi
  • Scarpa, Massimiliano
  • Tambani, Chiara

Abstract

CO2 based ventilation control is an eligible technology to reduce energy consumptions concerning ventilation air treatment and its distribution in particular in presence of highly variable occupancy. An experimental assessment of the performances of this control strategy is illustrated in this paper. The study refers to a historic building in Venice recently refurbished and subject to a preservation order. It concerns a demand controlled ventilation (DCV) system installed in a part of the building transformed in a university library and based on the use of CO2 sensors. A building management system (BMS) able to measure and record the required data was used as a tool for long term monitoring of the HVAC system. A comparison with alternative solutions was also carried on. The results permit to quantify remarkable energy savings, particularly strategic in the energy retrofit of historic buildings especially in presence of preservation orders. But the investigation highlights also the peculiarities of CO2 based ventilation control in meeting the indoor comfort requirement which suggest a systematic use of long term assessment to verify control efficacy in different operating conditions.

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  • Schibuola, Luigi & Scarpa, Massimiliano & Tambani, Chiara, 2018. "CO2 based ventilation control in energy retrofit: An experimental assessment," Energy, Elsevier, vol. 143(C), pages 606-614.
    • Handle: RePEc:eee:energy:v:143:y:2018:i:c:p:606-614
    DOI: 10.1016/j.energy.2017.11.050
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    References listed on IDEAS

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    1. Martínez-Molina, Antonio & Tort-Ausina, Isabel & Cho, Soolyeon & Vivancos, José-Luis, 2016. "Energy efficiency and thermal comfort in historic buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 70-85.
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    Cited by:

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    4. Jing, Gang & Cai, Wenjian & Zhang, Xin & Cui, Can & Liu, Hongwu & Wang, Cheng, 2020. "An energy-saving control strategy for multi-zone demand controlled ventilation system with data-driven model and air balancing control," Energy, Elsevier, vol. 199(C).
    5. Jing, Gang & Cai, Wenjian & Zhang, Xin & Cui, Can & Yin, Xiaohong & Xian, Huacai, 2019. "Modeling, air balancing and optimal pressure set-point selection for the ventilation system with minimized energy consumption," Applied Energy, Elsevier, vol. 236(C), pages 574-589.
    6. Carmen María Calama-González & Ángel Luis León-Rodríguez & Rafael Suárez, 2019. "Indoor Air Quality Assessment: Comparison of Ventilation Scenarios for Retrofitting Classrooms in a Hot Climate," Energies, MDPI, vol. 12(24), pages 1-20, December.
    7. Cui, X. & Islam, M.R. & Chua, K.J., 2019. "Experimental study and energy saving potential analysis of a hybrid air treatment cooling system in tropical climates," Energy, Elsevier, vol. 172(C), pages 1016-1026.

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