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Code-to-Code Validation and Application of a Dynamic Simulation Tool for the Building Energy Performance Analysis

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  • Annamaria Buonomano

    (DII (Department of Industrial Engineering), University of Naples Federico II, P.le Tecchio 80, Naples I-80125, Italy)

Abstract

In this paper details about the results of a code-to-code validation procedure of an in-house developed building simulation model, called DETECt, are reported. The tool was developed for research purposes in order to carry out dynamic building energy performance and parametric analyses by taking into account new building envelope integrated technologies, novel construction materials and innovative energy saving strategies. The reliability and accuracy of DETECt was appropriately tested by means of the standard BESTEST validation procedure. In the paper, details of this validation process are accurately described. A good agreement between the obtained results and all the reference data of the BESTEST qualification cases is achieved. In particular, the obtained results vs. standard BESTEST output are always within the provided ranges of confidence. In addition, several test cases output obtained by DETECt (e.g., dynamic profiles of indoor air and building surfaces temperature and heat fluxes and spatial trends of temperature across walls) are provided.

Suggested Citation

  • Annamaria Buonomano, 2016. "Code-to-Code Validation and Application of a Dynamic Simulation Tool for the Building Energy Performance Analysis," Energies, MDPI, vol. 9(4), pages 1-29, April.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:4:p:301-:d:68655
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    Cited by:

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    6. Buonomano, Annamaria & Guarino, Francesco, 2020. "The impact of thermophysical properties and hysteresis effects on the energy performance simulation of PCM wallboards: Experimental studies, modelling, and validation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 126(C).
    7. Barone, G. & Buonomano, A. & Calise, F. & Forzano, C. & Palombo, A., 2019. "Building to vehicle to building concept toward a novel zero energy paradigm: Modelling and case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 625-648.
    8. Barone, G. & Buonomano, A. & Forzano, C. & Giuzio, G.F. & Palombo, A. & Russo, G., 2023. "A new thermal comfort model based on physiological parameters for the smart design and control of energy-efficient HVAC systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    9. Barone, Giovanni & Buonomano, Annamaria & Forzano, Cesare & Giuzio, Giovanni Francesco & Palombo, Adolfo, 2020. "Passive and active performance assessment of building integrated hybrid solar photovoltaic/thermal collector prototypes: Energy, comfort, and economic analyses," Energy, Elsevier, vol. 209(C).
    10. Giovanni Barone & Annamaria Buonomano & Cesare Forzano & Adolfo Palombo, 2019. "Building Energy Performance Analysis: An Experimental Validation of an In-House Dynamic Simulation Tool through a Real Test Room," Energies, MDPI, vol. 12(21), pages 1-39, October.
    11. Agathokleous, R. & Barone, G. & Buonomano, A. & Forzano, C. & Kalogirou, S.A. & Palombo, A., 2019. "Building façade integrated solar thermal collectors for air heating: experimentation, modelling and applications," Applied Energy, Elsevier, vol. 239(C), pages 658-679.
    12. Buonomano, Annamaria, 2020. "Building to Vehicle to Building concept: A comprehensive parametric and sensitivity analysis for decision making aims," Applied Energy, Elsevier, vol. 261(C).
    13. Athienitis, Andreas K. & Barone, Giovanni & Buonomano, Annamaria & Palombo, Adolfo, 2018. "Assessing active and passive effects of façade building integrated photovoltaics/thermal systems: Dynamic modelling and simulation," Applied Energy, Elsevier, vol. 209(C), pages 355-382.
    14. Barone, Giovanni & Buonomano, Annamaria & Forzano, Cesare & Giuzio, Giovanni Francesco & Palombo, Adolfo & Russo, Giuseppe, 2022. "Energy virtual networks based on electric vehicles for sustainable buildings: System modelling for comparative energy and economic analyses," Energy, Elsevier, vol. 242(C).
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