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dc.contributor.author
Ganem, Carolina  
dc.contributor.author
Barea Paci, Gustavo Javier  
dc.contributor.other
Massimo, Palme  
dc.contributor.other
Agnese, Salvati  
dc.date.available
2021-07-12T19:27:35Z  
dc.date.issued
2020  
dc.identifier.citation
Ganem, Carolina; Barea Paci, Gustavo Javier; A Methodology for Assessing the Impact of Climate Change on Building Energy Consumption; Springer Nature Switzerland AG; 2020; 363-381  
dc.identifier.isbn
978-3-030-65421-4  
dc.identifier.uri
http://hdl.handle.net/11336/135891  
dc.description.abstract
Global average surface air temperatures over land and oceans have been increasing over the past 100 years mainly because of anthropogenic climate change. Cities, due to the concentration of population, economic activities and built infrastructures, are high-risk and potential damage areas in global warming scenarios. Specific microclimate conditions, which occur in urban areas, are expected to change with almost certainly disadvantageous effects on the energy consumption of buildings and the quality of life at outdoor spaces. Most buildings have a lifespan of several decades, during which the urban microclimate will continue to change gradually. Building energy simulation (BES) programs are capable of predicting building energy performance in detail in a dynamic model. These models should ensure that new buildings will adapt to future conditions. Nevertheless, the meteorological data used as input, even if it is in situ measured urban microclimatic data, are generally based on current or past weather conditions and do not attend future scenarios. The objective of this chapter is to present a parameterization of the impact of urban microclimatic conditions on energy performance of buildings in the current situation (2020), and in 3 tentative future scenarios assuming the microclimatic conditions from RCP4.5 (2015-2039) and RCP8.5 in two time lapses (2015-2039) and (2075-2099) from the 5th IPCC report. As application example, a case study in the city of Mendoza, Argentina is presented. First, the model is run in the BES program Energy Plus with the current urban microclimatic conditions, calibrated with onsite measured data. Then, the same model is run for microclimatic RCP scenarios. Meteorological conditions are adopted from a predictive mathematical model of the IPCC using EPW files as input. Based on the obtained results, the impact of climate change on urban microclimate and expected changes in energy consumption of buildings during the next century are discussed.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer Nature Switzerland AG  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ENERGY CONSUMPTION  
dc.subject
BUILDING  
dc.subject
MICRO-CLIMATE  
dc.subject
IMPACT  
dc.subject.classification
Otras Ingeniería del Medio Ambiente  
dc.subject.classification
Ingeniería del Medio Ambiente  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
A Methodology for Assessing the Impact of Climate Change on Building Energy Consumption  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/bookPart  
dc.type
info:ar-repo/semantics/parte de libro  
dc.date.updated
2021-06-07T15:29:34Z  
dc.journal.pagination
363-381  
dc.journal.pais
Suiza  
dc.description.fil
Fil: Ganem, Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ambiente, Hábitat y Energía; Argentina  
dc.description.fil
Fil: Barea Paci, Gustavo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ambiente, Hábitat y Energía; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-030-65421-4_17  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/978-3-030-65421-4_17  
dc.conicet.paginas
500  
dc.source.titulo
Urban Microclimate Modelling for Confort and Energy Studies