Differential sensitivities of electricity consumption to global warming across regions of Argentina
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 regio...
| Autores principales: | , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2021
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/10756 https://link.springer.com/article/10.1007%2Fs10584-021-03129-6 https://doi.org/10.1007/s10584-021-03129-6 |
| _version_ | 1855484647298826240 |
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| author | Propato, Tamara Sofia De Abelleyra, Diego Semmartin, María Gisela Veron, Santiago Ramón |
| author_browse | De Abelleyra, Diego Propato, Tamara Sofia Semmartin, María Gisela Veron, Santiago Ramón |
| author_facet | Propato, Tamara Sofia De Abelleyra, Diego Semmartin, María Gisela Veron, Santiago Ramón |
| author_sort | Propato, Tamara Sofia |
| collection | INTA Digital |
| description | 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. |
| format | Artículo |
| id | INTA10756 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | INTA107562021-11-11T18:47:26Z Differential sensitivities of electricity consumption to global warming across regions of Argentina Propato, Tamara Sofia De Abelleyra, Diego Semmartin, María Gisela Veron, Santiago Ramón Temperatura Calentamiento Global Regimenes de Luz Temperature Global Warming Light Regimes Threshold Temperature Warm Temperature Regimes Cool Temperature Regimes Temperatura Umbral Regímenes de Temperatura Cálida Regímenes de Temperatura Fría 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. 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 Fil: de Abelleyra, D. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina 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 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 2021-11-11T18:33:55Z 2021-11-11T18:33:55Z 2021-05-27 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/10756 https://link.springer.com/article/10.1007%2Fs10584-021-03129-6 1758-678X https://doi.org/10.1007/s10584-021-03129-6 eng info:eu-repo/semantics/restrictedAccess application/pdf Springer Climatic Change 166 (1-2), may 2021. p. 1-20 |
| spellingShingle | Temperatura Calentamiento Global Regimenes de Luz Temperature Global Warming Light Regimes Threshold Temperature Warm Temperature Regimes Cool Temperature Regimes Temperatura Umbral Regímenes de Temperatura Cálida Regímenes de Temperatura Fría Propato, Tamara Sofia De Abelleyra, Diego Semmartin, María Gisela Veron, Santiago Ramón Differential sensitivities of electricity consumption to global warming across regions of Argentina |
| title | Differential sensitivities of electricity consumption to global warming across regions of Argentina |
| title_full | Differential sensitivities of electricity consumption to global warming across regions of Argentina |
| title_fullStr | Differential sensitivities of electricity consumption to global warming across regions of Argentina |
| title_full_unstemmed | Differential sensitivities of electricity consumption to global warming across regions of Argentina |
| title_short | Differential sensitivities of electricity consumption to global warming across regions of Argentina |
| title_sort | differential sensitivities of electricity consumption to global warming across regions of argentina |
| topic | Temperatura Calentamiento Global Regimenes de Luz Temperature Global Warming Light Regimes Threshold Temperature Warm Temperature Regimes Cool Temperature Regimes Temperatura Umbral Regímenes de Temperatura Cálida Regímenes de Temperatura Fría |
| url | http://hdl.handle.net/20.500.12123/10756 https://link.springer.com/article/10.1007%2Fs10584-021-03129-6 https://doi.org/10.1007/s10584-021-03129-6 |
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