This paper presents a parametric study on the effect of different TMY (Typical Meteorological Year) datasets on the results of energy dynamic simulation. The analysis was carried out running the software Design Builder with EnergyPlus code on a sample residential building located in three Italian cities and using two different TMY data sets: EnergyPlus and CTI (Italian ThermoTechnical Committee). As a support of the simulation results to be confirmed to a larger scale (the whole Italian territory), an analysis on the two TMY data sets was carried out by calculating CDH (Cooling Degree Hours) and HDD (Heating Degree Days) for 21 Italian locations together with annual global horizontal radiation and average annual mean daily wind velocity. The discrepancies found between the software data set and the more updated and locally validated CTI data set undermine the accuracy of simulation results hence flawing the energy performance assessment criteria based on those results.

The influence of different hourly typical meteorological years on dynamic simulation of buildings / Chiesa, Giacomo; Grosso, Mario. - In: ENERGY PROCEDIA. - ISSN 1876-6102. - ELETTRONICO. - 78:(2015), pp. 2560-2565. [10.1016/j.egypro.2015.11.280]

The influence of different hourly typical meteorological years on dynamic simulation of buildings

CHIESA, GIACOMO;GROSSO, Mario
2015

Abstract

This paper presents a parametric study on the effect of different TMY (Typical Meteorological Year) datasets on the results of energy dynamic simulation. The analysis was carried out running the software Design Builder with EnergyPlus code on a sample residential building located in three Italian cities and using two different TMY data sets: EnergyPlus and CTI (Italian ThermoTechnical Committee). As a support of the simulation results to be confirmed to a larger scale (the whole Italian territory), an analysis on the two TMY data sets was carried out by calculating CDH (Cooling Degree Hours) and HDD (Heating Degree Days) for 21 Italian locations together with annual global horizontal radiation and average annual mean daily wind velocity. The discrepancies found between the software data set and the more updated and locally validated CTI data set undermine the accuracy of simulation results hence flawing the energy performance assessment criteria based on those results.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2615525
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