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Experimental Calibration and Validation of a Simulation Model for Fault Detection of HVAC Systems and Application to a Case Study

Author

Listed:
  • Antonio Rosato

    (Department of Architecture and Industrial Design, University of Campania Luigi Vanvitelli, 81031 Aversa, Italy)

  • Francesco Guarino

    (Department of Architecture and Industrial Design, University of Campania Luigi Vanvitelli, 81031 Aversa, Italy)

  • Vincenzo Filomena

    (C.I.R.A. (Italian Aerospace Research Centre), 81043 Capua, Italy)

  • Sergio Sibilio

    (Department of Architecture and Industrial Design, University of Campania Luigi Vanvitelli, 81031 Aversa, Italy)

  • Luigi Maffei

    (Department of Architecture and Industrial Design, University of Campania Luigi Vanvitelli, 81031 Aversa, Italy)

Abstract

Automated fault detection and diagnostics (FDD) could provide a cornerstone for predictive maintenance of heating, ventilation and air-conditioning (HVAC) systems based on the development of simulation models able to accurately compare the faulty operation with respect to nominal conditions. In this paper, several experiments have been carried out for assessing the performance of the HVAC unit (nominal cooling/heating capacity of 5.0/5.0 kW) controlling the thermo-hygrometric comfort inside a 4.0 × 4.0 × 3.6 m test room at the Department of Architecture and Industrial Design of the University of Campania Luigi Vanvitelli (Italy); then, a detailed dynamic simulation model has been developed and validated by contrasting the predictions with the measured data. The model has also been used to analyze the dynamic variations of key parameters associated to faulty operation in comparison to normal performance, in order to identify simplified rules for detection of any non-optimal states of HVAC devices. Finally, the simulated performance of the HVAC unit has also been investigated while serving a typical Italian building office with and without the occurrence of typical faults with the main aim of assessing the impact of the faults on thermo-hygrometric comfort conditions as well as electric energy consumption.

Suggested Citation

  • Antonio Rosato & Francesco Guarino & Vincenzo Filomena & Sergio Sibilio & Luigi Maffei, 2020. "Experimental Calibration and Validation of a Simulation Model for Fault Detection of HVAC Systems and Application to a Case Study," Energies, MDPI, vol. 13(15), pages 1-27, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:3948-:d:393287
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    Citations

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    Cited by:

    1. Rima Aridi & Jalal Faraj & Samer Ali & Mostafa Gad El-Rab & Thierry Lemenand & Mahmoud Khaled, 2021. "Energy Recovery in Air Conditioning Systems: Comprehensive Review, Classifications, Critical Analysis, and Potential Recommendations," Energies, MDPI, vol. 14(18), pages 1-31, September.
    2. Antonio Rosato & Francesco Guarino & Sergio Sibilio & Evgueniy Entchev & Massimiliano Masullo & Luigi Maffei, 2021. "Healthy and Faulty Experimental Performance of a Typical HVAC System under Italian Climatic Conditions: Artificial Neural Network-Based Model and Fault Impact Assessment," Energies, MDPI, vol. 14(17), pages 1-41, August.
    3. Antonio Rosato & Francesco Guarino & Mohammad El Youssef & Alfonso Capozzoli & Massimiliano Masullo & Luigi Maffei, 2022. "Faulty Operation of Coils’ and Humidifier Valves in a Typical Air-Handling Unit: Experimental Impact Assessment of Indoor Comfort and Patterns of Operating Parameters under Mediterranean Climatic Cond," Energies, MDPI, vol. 15(18), pages 1-38, September.
    4. Dongsu Kim & Jongman Lee & Sunglok Do & Pedro J. Mago & Kwang Ho Lee & Heejin Cho, 2022. "Energy Modeling and Model Predictive Control for HVAC in Buildings: A Review of Current Research Trends," Energies, MDPI, vol. 15(19), pages 1-30, October.

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