In this study, the Palazzo “P. Sarpi” is subjected to an analysis through two different softwares, Revit and OpenStudio, which through EnergyPlus create an energy dynamic model of the entire building. The results are obtained starting from standardised and fixed boundaries conditions that are chosen before the design of the two models. Once evaluated the results, these are compared on a monthly basis, specifically the heating demand, the cooling demand and the electrical loads of the building. The comparison will reveal that the Revit model has difficulties in interpretating the fascinating architecture of the Palazzo “P. Sarpi”; this means that for the heating demand, the simulation will give a mean divergence of the OpenStudio result of -40.35% respect the result obtained from the Revit model. On the other hand, the simulation of Revit is really good for what concerns the cooling demand with the two models behaving in a strictly similar way: the OpenStudio results diverge from the Revit simulation of +7.46%. Finally the results of the electrical loads have a divergence of +23.76% although their profile behave in the same way along the year. Next phase of the work is to compare the results from OpenStudio simulation, with a timestep of 20 minutes for the whole yearly dataset, to the values of temperature and specific humidity measured by sensors adopting the LoRaWAN technology. This comparison will show how the model behaves during the heating season, free floating conditions and the cooling season. The difference between the simulation of the heating season and the measured values is remarkable, with the ambient of the offices that are too heated for the winter season, while in the cooling season the temperature is similar to the model although it reaches anyway some heat peaks due to the irradiation gain from the glazed surfaces of the building. In winter the behaviour of the simulations and the measured data are similar for what concerns the specific humidity while the temperature recorded inside the building is really higher than the simulated one. During the cooling season the specific humidity registered by the sensors reaches daily values higher than the simulated one which are influenced by the turning on of the HVAC system. In free floating conditions, the simulation profiles are similar to the measured ones, with a difference of -2.51 °C related only on the outdoor temperature of the period chosen due to the climatic data of the simulation which are referred to the TRY which is colder respect to the year 2024, period of the data measured by the sensors. This study shows how an energy dynamic model of a building behaves respect to the measured data of the inside temperature and specific humidity during the reference year of 2024, highlighting the Palazzo “P. Sarpi” conditions under the different seasons of the year.

In this study, the Palazzo “P. Sarpi” is subjected to an analysis through two different softwares, Revit and OpenStudio, which through EnergyPlus create an energy dynamic model of the entire building. The results are obtained starting from standardised and fixed boundaries conditions that are chosen before the design of the two models. Once evaluated the results, these are compared on a monthly basis, specifically the heating demand, the cooling demand and the electrical loads of the building. The comparison will reveal that the Revit model has difficulties in interpretating the fascinating architecture of the Palazzo “P. Sarpi”; this means that for the heating demand, the simulation will give a mean divergence of the OpenStudio result of -40.35% respect the result obtained from the Revit model. On the other hand, the simulation of Revit is really good for what concerns the cooling demand with the two models behaving in a strictly similar way: the OpenStudio results diverge from the Revit simulation of +7.46%. Finally the results of the electrical loads have a divergence of +23.76% although their profile behave in the same way along the year. Next phase of the work is to compare the results from OpenStudio simulation, with a timestep of 20 minutes for the whole yearly dataset, to the values of temperature and specific humidity measured by sensors adopting the LoRaWAN technology. This comparison will show how the model behaves during the heating season, free floating conditions and the cooling season. The difference between the simulation of the heating season and the measured values is remarkable, with the ambient of the offices that are too heated for the winter season, while in the cooling season the temperature is similar to the model although it reaches anyway some heat peaks due to the irradiation gain from the glazed surfaces of the building. In winter the behaviour of the simulations and the measured data are similar for what concerns the specific humidity while the temperature recorded inside the building is really higher than the simulated one. During the cooling season the specific humidity registered by the sensors reaches daily values higher than the simulated one which are influenced by the turning on of the HVAC system. In free floating conditions, the simulation profiles are similar to the measured ones, with a difference of -2.51 °C related only on the outdoor temperature of the period chosen due to the climatic data of the simulation which are referred to the TRY which is colder respect to the year 2024, period of the data measured by the sensors. This study shows how an energy dynamic model of a building behaves respect to the measured data of the inside temperature and specific humidity during the reference year of 2024, highlighting the Palazzo “P. Sarpi” conditions under the different seasons of the year.

"P. Sarpi" Palace in Padova: energy dynamic model and operation during a reference year.

LAGRECACOLONNA, ALESSANDRO
2024/2025

Abstract

In this study, the Palazzo “P. Sarpi” is subjected to an analysis through two different softwares, Revit and OpenStudio, which through EnergyPlus create an energy dynamic model of the entire building. The results are obtained starting from standardised and fixed boundaries conditions that are chosen before the design of the two models. Once evaluated the results, these are compared on a monthly basis, specifically the heating demand, the cooling demand and the electrical loads of the building. The comparison will reveal that the Revit model has difficulties in interpretating the fascinating architecture of the Palazzo “P. Sarpi”; this means that for the heating demand, the simulation will give a mean divergence of the OpenStudio result of -40.35% respect the result obtained from the Revit model. On the other hand, the simulation of Revit is really good for what concerns the cooling demand with the two models behaving in a strictly similar way: the OpenStudio results diverge from the Revit simulation of +7.46%. Finally the results of the electrical loads have a divergence of +23.76% although their profile behave in the same way along the year. Next phase of the work is to compare the results from OpenStudio simulation, with a timestep of 20 minutes for the whole yearly dataset, to the values of temperature and specific humidity measured by sensors adopting the LoRaWAN technology. This comparison will show how the model behaves during the heating season, free floating conditions and the cooling season. The difference between the simulation of the heating season and the measured values is remarkable, with the ambient of the offices that are too heated for the winter season, while in the cooling season the temperature is similar to the model although it reaches anyway some heat peaks due to the irradiation gain from the glazed surfaces of the building. In winter the behaviour of the simulations and the measured data are similar for what concerns the specific humidity while the temperature recorded inside the building is really higher than the simulated one. During the cooling season the specific humidity registered by the sensors reaches daily values higher than the simulated one which are influenced by the turning on of the HVAC system. In free floating conditions, the simulation profiles are similar to the measured ones, with a difference of -2.51 °C related only on the outdoor temperature of the period chosen due to the climatic data of the simulation which are referred to the TRY which is colder respect to the year 2024, period of the data measured by the sensors. This study shows how an energy dynamic model of a building behaves respect to the measured data of the inside temperature and specific humidity during the reference year of 2024, highlighting the Palazzo “P. Sarpi” conditions under the different seasons of the year.
2024
"P. Sarpi" Palace in Padova: energy dynamic model and operation during a reference year.
In this study, the Palazzo “P. Sarpi” is subjected to an analysis through two different softwares, Revit and OpenStudio, which through EnergyPlus create an energy dynamic model of the entire building. The results are obtained starting from standardised and fixed boundaries conditions that are chosen before the design of the two models. Once evaluated the results, these are compared on a monthly basis, specifically the heating demand, the cooling demand and the electrical loads of the building. The comparison will reveal that the Revit model has difficulties in interpretating the fascinating architecture of the Palazzo “P. Sarpi”; this means that for the heating demand, the simulation will give a mean divergence of the OpenStudio result of -40.35% respect the result obtained from the Revit model. On the other hand, the simulation of Revit is really good for what concerns the cooling demand with the two models behaving in a strictly similar way: the OpenStudio results diverge from the Revit simulation of +7.46%. Finally the results of the electrical loads have a divergence of +23.76% although their profile behave in the same way along the year. Next phase of the work is to compare the results from OpenStudio simulation, with a timestep of 20 minutes for the whole yearly dataset, to the values of temperature and specific humidity measured by sensors adopting the LoRaWAN technology. This comparison will show how the model behaves during the heating season, free floating conditions and the cooling season. The difference between the simulation of the heating season and the measured values is remarkable, with the ambient of the offices that are too heated for the winter season, while in the cooling season the temperature is similar to the model although it reaches anyway some heat peaks due to the irradiation gain from the glazed surfaces of the building. In winter the behaviour of the simulations and the measured data are similar for what concerns the specific humidity while the temperature recorded inside the building is really higher than the simulated one. During the cooling season the specific humidity registered by the sensors reaches daily values higher than the simulated one which are influenced by the turning on of the HVAC system. In free floating conditions, the simulation profiles are similar to the measured ones, with a difference of -2.51 °C related only on the outdoor temperature of the period chosen due to the climatic data of the simulation which are referred to the TRY which is colder respect to the year 2024, period of the data measured by the sensors. This study shows how an energy dynamic model of a building behaves respect to the measured data of the inside temperature and specific humidity during the reference year of 2024, highlighting the Palazzo “P. Sarpi” conditions under the different seasons of the year.
Energy model
Thermal balance
Data analysis
BIM model
File in questo prodotto:
File Dimensione Formato  
Lagrecacolonna_Alessandro.pdf

accesso aperto

Dimensione 8.76 MB
Formato Adobe PDF
8.76 MB Adobe PDF Visualizza/Apri

The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/94154