The increasingly hot and long summers due to the climate change will cause a significant increase in energy demand for cooling systems, especially in highly-densely populated regions. The cooling energy needs of buildings are proportional to the Cooling Degree Hours, which consist in the cumulative sum of the positive differences between the hourly outdoor temperature and the indoor comfort temperature. In this work, this quantity is computed using gridded temperatures predicted by the Weather Research and Forecasting model for the years 2000, 2019, 2050 and 2080 across Italy. This allows investigating the evolution of the cooling energy needs on a national scale, following the climate-change related trend of the ambient temperature. For climate projections, an intermediate (RCP4.5) and a high emissions (RCP8.5) scenario defined by the Intergovernmental Panel for Climate Change have been considered. Findings show that results of 2050-RCP8.5 and 2080-RCP4.5 are very close, both in terms of amount of operational hours and cooling degree hours. The maximum level of cooling degree hours has increased more in the recent past than it will grow in the future, even according to RCP8.5. Yet in 2080 about 70% of Italy will reach levels of cooling degree hours not touched in 2000.

Estimating building cooling energy demand through the Cooling Degree Hours in a changing climate: A modeling study / Salata, Ferdinando; Falasca, Serena; Ciancio, Virgilio; Curci, Gabriele; Grignaffini, Stefano; de Wilde, Pieter. - In: SUSTAINABLE CITIES AND SOCIETY. - ISSN 2210-6707. - 76:(2022), pp. 1-13. [10.1016/j.scs.2021.103518]

Estimating building cooling energy demand through the Cooling Degree Hours in a changing climate: A modeling study

Ferdinando Salata
Primo
Methodology
;
Serena Falasca
Secondo
Software
;
Virgilio Ciancio
Data Curation
;
Stefano Grignaffini
Penultimo
Supervision
;
2022

Abstract

The increasingly hot and long summers due to the climate change will cause a significant increase in energy demand for cooling systems, especially in highly-densely populated regions. The cooling energy needs of buildings are proportional to the Cooling Degree Hours, which consist in the cumulative sum of the positive differences between the hourly outdoor temperature and the indoor comfort temperature. In this work, this quantity is computed using gridded temperatures predicted by the Weather Research and Forecasting model for the years 2000, 2019, 2050 and 2080 across Italy. This allows investigating the evolution of the cooling energy needs on a national scale, following the climate-change related trend of the ambient temperature. For climate projections, an intermediate (RCP4.5) and a high emissions (RCP8.5) scenario defined by the Intergovernmental Panel for Climate Change have been considered. Findings show that results of 2050-RCP8.5 and 2080-RCP4.5 are very close, both in terms of amount of operational hours and cooling degree hours. The maximum level of cooling degree hours has increased more in the recent past than it will grow in the future, even according to RCP8.5. Yet in 2080 about 70% of Italy will reach levels of cooling degree hours not touched in 2000.
2022
building cooling; climate change; infographic maps; mediterranean area; summer energy demand; WRF
01 Pubblicazione su rivista::01a Articolo in rivista
Estimating building cooling energy demand through the Cooling Degree Hours in a changing climate: A modeling study / Salata, Ferdinando; Falasca, Serena; Ciancio, Virgilio; Curci, Gabriele; Grignaffini, Stefano; de Wilde, Pieter. - In: SUSTAINABLE CITIES AND SOCIETY. - ISSN 2210-6707. - 76:(2022), pp. 1-13. [10.1016/j.scs.2021.103518]
File allegati a questo prodotto
File Dimensione Formato  
Salata_Estimating_2022.pdf

solo gestori archivio

Note: https://www.sciencedirect.com/science/article/pii/S2210670721007848
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 4.46 MB
Formato Adobe PDF
4.46 MB Adobe PDF   Contatta l'autore

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/11573/1624312
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 42
  • ???jsp.display-item.citation.isi??? 35
social impact