The impact of climate change on electricity demand in the city of Huancayo

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This paper analyses how climate change affects electricity demand in the city of Huancayo, Peru, in order to find the relationship between electricity demand and temperature in degree Celsius in the last 20 years, using Spearman correlation, based on heating degree days (HDD), cooling degree days (C...

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Detalles Bibliográficos
Autores: Condori Clemente, Jennifer, Lora Huanay, Guadalupe Angélica, Carmargo Hinostroza, Steve Dann
Formato: tesis de grado
Fecha de Publicación:2022
Institución:Universidad Continental
Repositorio:CONTINENTAL-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.continental.edu.pe:20.500.12394/12336
Enlace del recurso:https://hdl.handle.net/20.500.12394/12336
https://doi.org/10.1088/1755-1315/1008/1/012001
Nivel de acceso:acceso abierto
Materia:Energía eléctrica
Empresas eléctricas
Calefacción y ventilación
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dc.title.es_ES.fl_str_mv The impact of climate change on electricity demand in the city of Huancayo
title The impact of climate change on electricity demand in the city of Huancayo
spellingShingle The impact of climate change on electricity demand in the city of Huancayo
Condori Clemente, Jennifer
Energía eléctrica
Empresas eléctricas
Calefacción y ventilación
https://purl.org/pe-repo/ocde/ford#2.07.00
title_short The impact of climate change on electricity demand in the city of Huancayo
title_full The impact of climate change on electricity demand in the city of Huancayo
title_fullStr The impact of climate change on electricity demand in the city of Huancayo
title_full_unstemmed The impact of climate change on electricity demand in the city of Huancayo
title_sort The impact of climate change on electricity demand in the city of Huancayo
author Condori Clemente, Jennifer
author_facet Condori Clemente, Jennifer
Lora Huanay, Guadalupe Angélica
Carmargo Hinostroza, Steve Dann
author_role author
author2 Lora Huanay, Guadalupe Angélica
Carmargo Hinostroza, Steve Dann
author2_role author
author
dc.contributor.advisor.fl_str_mv Camargo Hinostroza, Steve Dann
dc.contributor.author.fl_str_mv Condori Clemente, Jennifer
Lora Huanay, Guadalupe Angélica
Carmargo Hinostroza, Steve Dann
dc.subject.es_ES.fl_str_mv Energía eléctrica
Empresas eléctricas
Calefacción y ventilación
topic Energía eléctrica
Empresas eléctricas
Calefacción y ventilación
https://purl.org/pe-repo/ocde/ford#2.07.00
dc.subject.ocde.es_ES.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.07.00
description This paper analyses how climate change affects electricity demand in the city of Huancayo, Peru, in order to find the relationship between electricity demand and temperature in degree Celsius in the last 20 years, using Spearman correlation, based on heating degree days (HDD), cooling degree days (CDD) and electricity demand data in Mw, the conversion of average temperatures to degree days showed that only heating degree days (HDD) were found, our statistical results show that there is a moderate inverse relationship, which means that in the last 20 years the increase in electricity demand was partially due to lower temperatures, since these cause higher heating needs and thus increased electricity demand. It is suggested that the research can be carried out in different parts of Peru, since the results may vary due to the diversity of climates and it is also of utmost importance to work carefully with the temperature data, to have accurate results. This gives us a notion that energy reserves should be prepared, and the use of renewable energies must be implemented with greater emphasis.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2023-01-16T20:25:49Z
dc.date.available.none.fl_str_mv 2023-01-16T20:25:49Z
dc.date.issued.fl_str_mv 2022
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dc.identifier.citation.es_ES.fl_str_mv Condori, J., Lora, G. y Camargo, S. (2022). The impact of climate change on electricity demand in the city of Huancayo. Tesis para optar el título profesional de Ingeniero Ambiental, Escuela Académico Profesional de Ingeniería Ambiental, Universidad Continental, Huancayo, Perú.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12394/12336
dc.identifier.doi.es_ES.fl_str_mv https://doi.org/10.1088/1755-1315/1008/1/012001
identifier_str_mv Condori, J., Lora, G. y Camargo, S. (2022). The impact of climate change on electricity demand in the city of Huancayo. Tesis para optar el título profesional de Ingeniero Ambiental, Escuela Académico Profesional de Ingeniería Ambiental, Universidad Continental, Huancayo, Perú.
url https://hdl.handle.net/20.500.12394/12336
https://doi.org/10.1088/1755-1315/1008/1/012001
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dc.source.es_ES.fl_str_mv Universidad Continental
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spelling Camargo Hinostroza, Steve DannCondori Clemente, JenniferLora Huanay, Guadalupe AngélicaCarmargo Hinostroza, Steve Dann2023-01-16T20:25:49Z2023-01-16T20:25:49Z2022Condori, J., Lora, G. y Camargo, S. (2022). The impact of climate change on electricity demand in the city of Huancayo. Tesis para optar el título profesional de Ingeniero Ambiental, Escuela Académico Profesional de Ingeniería Ambiental, Universidad Continental, Huancayo, Perú.https://hdl.handle.net/20.500.12394/12336https://doi.org/10.1088/1755-1315/1008/1/012001This paper analyses how climate change affects electricity demand in the city of Huancayo, Peru, in order to find the relationship between electricity demand and temperature in degree Celsius in the last 20 years, using Spearman correlation, based on heating degree days (HDD), cooling degree days (CDD) and electricity demand data in Mw, the conversion of average temperatures to degree days showed that only heating degree days (HDD) were found, our statistical results show that there is a moderate inverse relationship, which means that in the last 20 years the increase in electricity demand was partially due to lower temperatures, since these cause higher heating needs and thus increased electricity demand. It is suggested that the research can be carried out in different parts of Peru, since the results may vary due to the diversity of climates and it is also of utmost importance to work carefully with the temperature data, to have accurate results. 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