This research discusses two different types of extreme weather data for building simulation, the Extreme Reference Years ERYs and the eXtreme Meteorological Years XMYs, with the aim of performing a comparison analysing their impact on the assessment of building energy performance. A dataset of 12 climates is used to generate both typical and extreme weather data, whose properties are examined both in terms of selected reference months and calculated heating and cooling degree-days. Finally, EnergyPlus simulations are run to evaluate the effects of the two alternative types of extreme weather data on the simulation outcomes.

Extreme Weather Data in Building Performance Simulation / Gasparella, A.; Crawley, D. B.; Pernigotto, G.; Prada, A.; Lawrie, L. K.. - In: BUILDING SIMULATION CONFERENCE PROCEEDINGS. - ISSN 2522-2708. - 17:(2022), pp. 894-901. (Intervento presentato al convegno 17th IBPSA Conference on Building Simulation, BS 2021 tenutosi a Belgium nel 2021) [10.26868/25222708.2021.30790].

Extreme Weather Data in Building Performance Simulation

Prada A.;
2022-01-01

Abstract

This research discusses two different types of extreme weather data for building simulation, the Extreme Reference Years ERYs and the eXtreme Meteorological Years XMYs, with the aim of performing a comparison analysing their impact on the assessment of building energy performance. A dataset of 12 climates is used to generate both typical and extreme weather data, whose properties are examined both in terms of selected reference months and calculated heating and cooling degree-days. Finally, EnergyPlus simulations are run to evaluate the effects of the two alternative types of extreme weather data on the simulation outcomes.
2022
Proceedings of Building Simulation 2021: 17th Conference of IBPSA
Bruges, Belgium
International Building Performance Simulation Association
978-1-7750520-2-9
Gasparella, A.; Crawley, D. B.; Pernigotto, G.; Prada, A.; Lawrie, L. K.
Extreme Weather Data in Building Performance Simulation / Gasparella, A.; Crawley, D. B.; Pernigotto, G.; Prada, A.; Lawrie, L. K.. - In: BUILDING SIMULATION CONFERENCE PROCEEDINGS. - ISSN 2522-2708. - 17:(2022), pp. 894-901. (Intervento presentato al convegno 17th IBPSA Conference on Building Simulation, BS 2021 tenutosi a Belgium nel 2021) [10.26868/25222708.2021.30790].
File in questo prodotto:
File Dimensione Formato  
2021 - Gasparella et al.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 3.69 MB
Formato Adobe PDF
3.69 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/384469
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact