Analyzing the driving factors behind the change of the power sector's aggregate carbon intensity in Colombia 1990-2017
Logarithmic Mean Divisia Index (LMDI) analysis is a classical statistical method frequently used to decompose macroeconomic times-series such as Gross Domestic Product (GDP) or equivalent carbon dioxide emissions (CO2e). The LMDI method decomposes the change in a given variable of interest into seve...
- Autores:
-
Rojas Lozano, Daniela del Pilar
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2019
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/44649
- Acceso en línea:
- http://hdl.handle.net/1992/44649
- Palabra clave:
- Producción de energía eléctrica
Política energética
Comercio de derechos de emisión
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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dc.title.es_CO.fl_str_mv |
Analyzing the driving factors behind the change of the power sector's aggregate carbon intensity in Colombia 1990-2017 |
title |
Analyzing the driving factors behind the change of the power sector's aggregate carbon intensity in Colombia 1990-2017 |
spellingShingle |
Analyzing the driving factors behind the change of the power sector's aggregate carbon intensity in Colombia 1990-2017 Producción de energía eléctrica Política energética Comercio de derechos de emisión Ingeniería |
title_short |
Analyzing the driving factors behind the change of the power sector's aggregate carbon intensity in Colombia 1990-2017 |
title_full |
Analyzing the driving factors behind the change of the power sector's aggregate carbon intensity in Colombia 1990-2017 |
title_fullStr |
Analyzing the driving factors behind the change of the power sector's aggregate carbon intensity in Colombia 1990-2017 |
title_full_unstemmed |
Analyzing the driving factors behind the change of the power sector's aggregate carbon intensity in Colombia 1990-2017 |
title_sort |
Analyzing the driving factors behind the change of the power sector's aggregate carbon intensity in Colombia 1990-2017 |
dc.creator.fl_str_mv |
Rojas Lozano, Daniela del Pilar |
dc.contributor.advisor.none.fl_str_mv |
De Oliveira De Jesus, Paulo Manuel |
dc.contributor.author.none.fl_str_mv |
Rojas Lozano, Daniela del Pilar |
dc.contributor.jury.none.fl_str_mv |
Jiménez Estévez, Guillermo Andrés Ríos Mesías, Mario Alberto |
dc.subject.armarc.es_CO.fl_str_mv |
Producción de energía eléctrica Política energética Comercio de derechos de emisión |
topic |
Producción de energía eléctrica Política energética Comercio de derechos de emisión Ingeniería |
dc.subject.themes.none.fl_str_mv |
Ingeniería |
description |
Logarithmic Mean Divisia Index (LMDI) analysis is a classical statistical method frequently used to decompose macroeconomic times-series such as Gross Domestic Product (GDP) or equivalent carbon dioxide emissions (CO2e). The LMDI method decomposes the change in a given variable of interest into several driving or explaining factors. Recently, the LMDI method has aroused a renewed inter- est in energy researchers as a useful tool to explain the reasons behind the changes in the aggregate carbon intensity (ACI) of the electricity. The ACI of electricity is a critical performance index needed to track the transition from fossil-based to decarbonized economies in developing countries. It relates the total carbon dioxide emissions (in gCO2) and the total power generation output (in kWh) during a given period. We can find some recent contributions about ACI decomposition using LMDI tech- niques in many countries and regions. Nevertheless, Colombia lacks specific studies about its ACI evolution. To fill the research gap, this thesis applies the LMDI decomposition analysis to identify factors that explain the change of ACI in Colombia. The research was carried out from 1990 to 2017. Six sub-periods were studied in detail: 1990-1992, 1992-1999, 1999-2007, 2007-2011, 2001-2014, and 2014-2017. Results show that since 1992 -when profound market and institutional reforms were carried out- the ACI drastically dropped and stabilized due to both structural (dispatch of large hydro plants) and intensity reasons (improved efficiency and a more clean energy mix). However, since 2011, ACI shows a significative change of trend. The structural effect is strongly connected with the increase of fossil-based generation to attend increasing load demands and stagnation of large-hydro energy output |
publishDate |
2019 |
dc.date.issued.none.fl_str_mv |
2019 |
dc.date.accessioned.none.fl_str_mv |
2020-09-03T14:57:38Z |
dc.date.available.none.fl_str_mv |
2020-09-03T14:57:38Z |
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Trabajo de grado - Pregrado |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/bachelorThesis |
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http://purl.org/coar/resource_type/c_7a1f |
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http://hdl.handle.net/1992/44649 |
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u830814.pdf |
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http://hdl.handle.net/1992/44649 |
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u830814.pdf instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/ |
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spa |
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https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf |
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16 hojas |
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Universidad de los Andes |
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Ingeniería Eléctrica |
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Facultad de Ingeniería |
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Departamento de Ingeniería Eléctrica y Electrónica |
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Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2De Oliveira De Jesus, Paulo Manuelvirtual::13003-1Rojas Lozano, Daniela del Pilar1ec78c54-4bbe-4c25-9cf9-a196ecd85637500Jiménez Estévez, Guillermo AndrésRíos Mesías, Mario Alberto2020-09-03T14:57:38Z2020-09-03T14:57:38Z2019http://hdl.handle.net/1992/44649u830814.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Logarithmic Mean Divisia Index (LMDI) analysis is a classical statistical method frequently used to decompose macroeconomic times-series such as Gross Domestic Product (GDP) or equivalent carbon dioxide emissions (CO2e). The LMDI method decomposes the change in a given variable of interest into several driving or explaining factors. Recently, the LMDI method has aroused a renewed inter- est in energy researchers as a useful tool to explain the reasons behind the changes in the aggregate carbon intensity (ACI) of the electricity. The ACI of electricity is a critical performance index needed to track the transition from fossil-based to decarbonized economies in developing countries. It relates the total carbon dioxide emissions (in gCO2) and the total power generation output (in kWh) during a given period. We can find some recent contributions about ACI decomposition using LMDI tech- niques in many countries and regions. Nevertheless, Colombia lacks specific studies about its ACI evolution. To fill the research gap, this thesis applies the LMDI decomposition analysis to identify factors that explain the change of ACI in Colombia. The research was carried out from 1990 to 2017. Six sub-periods were studied in detail: 1990-1992, 1992-1999, 1999-2007, 2007-2011, 2001-2014, and 2014-2017. Results show that since 1992 -when profound market and institutional reforms were carried out- the ACI drastically dropped and stabilized due to both structural (dispatch of large hydro plants) and intensity reasons (improved efficiency and a more clean energy mix). However, since 2011, ACI shows a significative change of trend. The structural effect is strongly connected with the increase of fossil-based generation to attend increasing load demands and stagnation of large-hydro energy output"Logarithmic Mean Divisia Index (LMDI) (LMDI) es un método estadístico clásico utilizado con frecuencia para descomponer series de tiempo macroeconómicas como el Producto Interno Bruto (PIB) o las emisiones equivalentes de dióxido de carbono (CO2e). El método LMDI descompone el cambio en una variable de interés dada en varios factores impulsores o explicativos. Recientemente, el método LMDI ha despertado un interés en los investigadores de energía como una herramienta útil para explicar las razones detrás de los cambios en la intensidad de carbono agregado (ACI) de la electricidad. El ACI de la electricidad es un índice de rendimiento crítico necesario para rastrear la transición de las economías basadas en fósiles a las descarbonizadas en los países en desarrollo. Relaciona las emisiones totales de dióxido de carbono (en gCO2) y la producción total de generación de energía (en kWh) durante un período determinado. Así se puede encontrar algunas contribuciones recientes sobre la descomposición de ACI utilizando técnicas de LMDI en muchos países y regiones. Sin embargo, Colombia carece de estudios específicos sobre su evolución ACI. Para llenar el vacío de investigación, esta tesis aplica el análisis de descomposición LMDI para identificar factores que explican el cambio de ACI en Colombia. La investigación se realizó entre 1990 y 2017. Se estudiaron seis subperíodos en detalle: 1990-1992, 1992-1999, 1999-2007, 2007-2011, 2001-2014 y 2014-2017. Los resultados muestran que desde 1992, cuando se llevaron a cabo profundas reformas institucionales y de mercado, el ACI cayó drásticamente y se estabilizó debido a razones tanto estructurales (despacho de grandes centrales hidroeléctricas) como de intensidad (eficiencia mejorada y una combinación de energía más limpia). Sin embargo, desde 2011, el ACI muestra un cambio significativo de tendencia. El efecto estructural está fuertemente relacionado tanto con el aumento de la generación basada en fósiles para atender las crecientes ..."--Tomado del Formato de Documento de Grado.Ingeniero EléctricoPregrado16 hojasapplication/pdfspaUniversidad de los AndesIngeniería EléctricaFacultad de IngenieríaDepartamento de Ingeniería Eléctrica y Electrónicainstname:Universidad de los Andesreponame:Repositorio Institucional SénecaAnalyzing the driving factors behind the change of the power sector's aggregate carbon intensity in Colombia 1990-2017Trabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesishttp://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TPProducción de energía eléctricaPolítica energéticaComercio de derechos de emisiónIngenieríaPublicationhttps://scholar.google.es/citations?user=aPmVGc4AAAAJvirtual::13003-10000-0002-3344-9555virtual::13003-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000117583virtual::13003-1db50a4e0-6344-4ada-bd82-b9004e8e6b33virtual::13003-1db50a4e0-6344-4ada-bd82-b9004e8e6b33virtual::13003-1TEXTu830814.pdf.txtu830814.pdf.txtExtracted texttext/plain36414https://repositorio.uniandes.edu.co/bitstreams/8be4f4e3-5b00-4e14-a326-74460683195d/downloadcee97fabaf038b42a45669d04b967913MD54THUMBNAILu830814.pdf.jpgu830814.pdf.jpgIM Thumbnailimage/jpeg9872https://repositorio.uniandes.edu.co/bitstreams/dd5afaf4-86ec-45e2-9316-c11922099419/download29352b3bdcbf3e1ba70829c500614209MD55ORIGINALu830814.pdfapplication/pdf361761https://repositorio.uniandes.edu.co/bitstreams/5ed9b2d8-2379-425c-a370-e54aea47b721/downloadc50730773ac44724119669843c655a92MD511992/44649oai:repositorio.uniandes.edu.co:1992/446492024-05-15 09:20:10.343https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfopen.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co |