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Resumen
The description of the relationship between temperature (T) and electricity consumption (EC) is key to improving our understanding of a potential climate change amplification feedback and, thus, energy planning. We sought to characterize the relationship between the EC and daily T of different regions of Argentina and use these historical relationships to estimate expected EC under T future scenarios. We used a time series approach to model EC, removing
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dc.contributor.author | Propato, Tamara Sofia | |
dc.contributor.author | De Abelleyra, Diego | |
dc.contributor.author | Semmartin, María Gisela | |
dc.contributor.author | Veron, Santiago Ramón | |
dc.date.accessioned | 2021-11-11T18:33:55Z | |
dc.date.available | 2021-11-11T18:33:55Z | |
dc.date.issued | 2021-05-27 | |
dc.identifier.issn | 1758-678X | |
dc.identifier.other | https://doi.org/10.1007/s10584-021-03129-6 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/10756 | |
dc.identifier.uri | https://link.springer.com/article/10.1007%2Fs10584-021-03129-6 | |
dc.description.abstract | The description of the relationship between temperature (T) and electricity consumption (EC) is key to improving our understanding of a potential climate change amplification feedback and, thus, energy planning. We sought to characterize the relationship between the EC and daily T of different regions of Argentina and use these historical relationships to estimate expected EC under T future scenarios. We used a time series approach to model EC, removing trends and seasonality and accounting for breaks and discontinuities. EC and T data were obtained from Argentine Wholesale Market Administrator Company and global databases, respectively. We evaluate the T-EC model for the period between 1997 and 2014 and two sub-periods: 1997–2001 and 2011–2014. We use modeled temperature projections for the 2027–2044 period based on the Representative Pathway Concentration 4.5 together with our region-specific T-EC models to predict changes in EC due to T changes. The shape of the T-EC relationships is quite stable between periods and regions but varies according to the temperature gradient. We find large increases in EC in warm days (from 40 to 126 Wh/cap/°C) and a region-specific response to cold days (from flat to steep responses). The T at which EC was at minimum varies between 14 and 20 °C and increase in time as mean daily T also increase. Estimated temperature projections translate into an average increase factor of 7.2 in EC with contrasting relative importance between regions of Argentina. Results highlight potential sensitivity of EC to T in the developing countries. | eng |
dc.format | application/pdf | es_AR |
dc.language.iso | eng | es_AR |
dc.publisher | Springer | es_AR |
dc.rights | info:eu-repo/semantics/restrictedAccess | es_AR |
dc.source | Climatic Change 166 (1-2), may 2021. p. 1-20 | es_AR |
dc.subject | Temperatura | |
dc.subject | Temperature | eng |
dc.subject | Calentamiento Global | |
dc.subject | Global Warming | eng |
dc.subject | Regimenes de Luz | |
dc.subject | Light Regimes | eng |
dc.subject.other | Threshold Temperature | eng |
dc.subject.other | Temperatura Umbral | es_AR |
dc.subject.other | Warm Temperature Regimes | eng |
dc.subject.other | Regímenes de Temperatura Cálida | es_AR |
dc.subject.other | Cool Temperature Regimes | eng |
dc.subject.other | Regímenes de Temperatura Fría | es_AR |
dc.title | Differential sensitivities of electricity consumption to global warming across regions of Argentina | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.description.fil | Fil: Propato, T. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | es_AR |
dc.description.fil | Fil: de Abelleyra, D. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina | es_AR |
dc.description.fil | Fil: Semmartin, María Gisela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina | es_AR |
dc.description.fil | Fil: Verón, S. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | es_AR |
dc.subtype | cientifico |
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