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Simulation and Measurement of Energetic Performance in Decentralized Regenerative Ventilation Systems

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  • Nicolas Carbonare

    (Fraunhofer Institute for Solar Energy Systems, Heidenhofstr. 2, 79110 Freiburg, Germany
    Building Science Group, Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany)

  • Hannes Fugmann

    (Fraunhofer Institute for Solar Energy Systems, Heidenhofstr. 2, 79110 Freiburg, Germany)

  • Nasir Asadov

    (Fraunhofer Institute for Solar Energy Systems, Heidenhofstr. 2, 79110 Freiburg, Germany)

  • Thibault Pflug

    (Fraunhofer Institute for Solar Energy Systems, Heidenhofstr. 2, 79110 Freiburg, Germany)

  • Lena Schnabel

    (Fraunhofer Institute for Solar Energy Systems, Heidenhofstr. 2, 79110 Freiburg, Germany)

  • Constanze Bongs

    (Fraunhofer Institute for Solar Energy Systems, Heidenhofstr. 2, 79110 Freiburg, Germany)

Abstract

Decentralized regenerative mechanical ventilation systems have acquired relevance in recent years for the retrofit of residential buildings. While manufacturers report heat recovery efficiencies over 90%, research has shown that the efficiencies often vary between 60% and 80%. In order to better understand this mismatch, a test facility is designed and constructed for the experimental characterization and validation of regenerative heat exchanger simulation models. A ceramic honeycomb heat exchanger, typical for decentralized regenerative ventilation devices, is measured in this test facility. The experimental data are used to validate two modeling approaches: a one-dimensional model in Modelica and a computational fluid dynamics (CFD) model built in COMSOL Multiphysics ® . The results show an overall acceptable thermal performance of both models, the 1D model having a much lower simulation time and, thus, being suitable for integration in building performance simulations. A test case is designed, where the importance of an appropriate thermal and hydraulic modeling of decentralized ventilation systems is investigated. Therefore, the device is integrated into a multizone building simulation case. The results show that including component-based heat recovery and fan modeling leads to 30% higher heat losses due to ventilation and 10% more fan energy consumption than when assuming constant air exchange rates with ideal heat recovery. These findings contribute to a better understanding of the behavior of a growing technology such as decentralized ventilation and confirm the need for further research on these systems.

Suggested Citation

  • Nicolas Carbonare & Hannes Fugmann & Nasir Asadov & Thibault Pflug & Lena Schnabel & Constanze Bongs, 2020. "Simulation and Measurement of Energetic Performance in Decentralized Regenerative Ventilation Systems," Energies, MDPI, vol. 13(22), pages 1-25, November.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:6010-:d:446582
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    References listed on IDEAS

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    1. Li, Qing & Bai, Fengwu & Yang, Bei & Wang, Zhifeng & El Hefni, Baligh & Liu, Sijie & Kubo, Syuichi & Kiriki, Hiroaki & Han, Mingxu, 2016. "Dynamic simulation and experimental validation of an open air receiver and a thermal energy storage system for solar thermal power plant," Applied Energy, Elsevier, vol. 178(C), pages 281-293.
    2. Alo Mikola & Raimo Simson & Jarek Kurnitski, 2019. "The Impact of Air Pressure Conditions on the Performance of Single Room Ventilation Units in Multi-Story Buildings," Energies, MDPI, vol. 12(13), pages 1-18, July.
    3. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
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    Cited by:

    1. Łukasz Amanowicz & Katarzyna Ratajczak & Edyta Dudkiewicz, 2023. "Recent Advancements in Ventilation Systems Used to Decrease Energy Consumption in Buildings—Literature Review," Energies, MDPI, vol. 16(4), pages 1-39, February.

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