Identifying rebound effects in consequential LCA

ilustraciones, diagramas

Autores:: Velez Henao, Johan Andres

Tipo de recurso:: Doctoral thesis

Fecha de publicación:: 2021

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: eng

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dc.title.eng.fl_str_mv	Identifying rebound effects in consequential LCA
dc.title.translated.spa.fl_str_mv	Identificando efectos rebotes en análisis de ciclo de vida consecuencial
title	Identifying rebound effects in consequential LCA
spellingShingle	Identifying rebound effects in consequential LCA 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería 330 - Economía::333 - Economía de la tierra y de la energía Recursos energéticos renovables Environmental rebound effect LCA STIRPAT Environmental efficiency improvements Non-conventional renewable resources Mejoras en la eficiencia ambiental Efecto de rebote ambiental Recursos renovables no convencionales
title_short	Identifying rebound effects in consequential LCA
title_full	Identifying rebound effects in consequential LCA
title_fullStr	Identifying rebound effects in consequential LCA
title_full_unstemmed	Identifying rebound effects in consequential LCA
title_sort	Identifying rebound effects in consequential LCA
dc.creator.fl_str_mv	Velez Henao, Johan Andres
dc.contributor.advisor.none.fl_str_mv	Hernández-Riveros, Jesús-Antonio Möller, Andreas Viere, Tobias
dc.contributor.author.none.fl_str_mv	Velez Henao, Johan Andres
dc.subject.ddc.spa.fl_str_mv	620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería 330 - Economía::333 - Economía de la tierra y de la energía
topic	620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería 330 - Economía::333 - Economía de la tierra y de la energía Recursos energéticos renovables Environmental rebound effect LCA STIRPAT Environmental efficiency improvements Non-conventional renewable resources Mejoras en la eficiencia ambiental Efecto de rebote ambiental Recursos renovables no convencionales
dc.subject.lem.none.fl_str_mv	Recursos energéticos renovables
dc.subject.proposal.eng.fl_str_mv	Environmental rebound effect LCA STIRPAT Environmental efficiency improvements Non-conventional renewable resources
dc.subject.proposal.spa.fl_str_mv	Mejoras en la eficiencia ambiental Efecto de rebote ambiental Recursos renovables no convencionales
description	ilustraciones, diagramas
publishDate	2021
dc.date.accessioned.none.fl_str_mv	2021-09-06T17:06:13Z
dc.date.available.none.fl_str_mv	2021-09-06T17:06:13Z
dc.date.issued.none.fl_str_mv	2021-07-28
dc.type.spa.fl_str_mv	Trabajo de grado - Doctorado
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dc.identifier.instname.spa.fl_str_mv	Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
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url	https://repositorio.unal.edu.co/handle/unal/80100 https://repositorio.unal.edu.co/
identifier_str_mv	Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv	eng
language	eng
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The Rebound Effect: an assessment of the evidence for economy-wide energy savings from improved energy efficiency. Sorrell, S., Dimitropoulos, J., 2007. The rebound effect : Microeconomic definitions , limitations and extensions. Ecol. Econ. 5, 636–64. doi:10.1016/j.ecolecon.2007.08.013 Sorrell, S., Dimitropoulos, J., Sommerville, M., 2009. Empirical estimates of the direct rebound effect : A review. Energy Policy 37, 1356–1371. doi:10.1016/j.enpol.2008.11.026 Spielmann, M., de Haan, P., Scholz, R.W., 2008. Environmental rebound effects of high-speed transport technologies: a case study of climate change rebound effects of a future underground maglev train system. J. Clean. Prod. 16, 1388–1398. doi:10.1016/j.jclepro.2007.08.001 Suh, S., 2006. Are services better for climate change? Environ. Sci. Technol. 40, 6555–6560. doi:10.1021/es0609351 SUI, S. de S.P.D., 2018. Servicios publicos. Energia [WWW Document]. URL http://www.sui.gov.co/web/energia (accessed 8.22.18). 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dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia Leuphana Universität Lüneburg
dc.publisher.program.spa.fl_str_mv	Medellín - Minas - Doctorado en Ingeniería - Sistemas Energéticos
dc.publisher.department.spa.fl_str_mv	Departamento de Procesos y Energía
dc.publisher.faculty.spa.fl_str_mv	Facultad de Minas
dc.publisher.place.spa.fl_str_mv	Medellín
dc.publisher.branch.spa.fl_str_mv	Universidad Nacional de Colombia - Sede Medellín
institution	Universidad Nacional de Colombia
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spelling	Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Hernández-Riveros, Jesús-Antonio663dd88a1c5315f68be902d83bb725ed600Möller, Andreas564e747cf69b5c0ea1478fe93e1dffd3600Viere, Tobias8461bf40b58de8a447151eef9438f4b6600Velez Henao, Johan Andrese8b65ff0c72f9877545585af805ec8fd2021-09-06T17:06:13Z2021-09-06T17:06:13Z2021-07-28https://repositorio.unal.edu.co/handle/unal/80100Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, diagramasOne of the Colombian strategies to diversify and decarbonize the energy sector is encouraging the use of non-conventional renewable resources (NCRR). For doing so the government issued in 2014 the Law 1715 to promote NCRR and energy efficiency improvements into the sector. While presumably it will help to achieve the international and national commitment to reduce the CO2 emission by 20% in 2030, this assumption cannot be tested broader without taking in account the environmental consequence that such initiatives may produce in the household sector, the greatest electricity consuming sector in Colombia This thesis measures the environmental rebound effect (ERE) when increasing the shares of wind power into the Colombian power grid in the residential (household) sector. For doing so, a process-based Life Cycle Assessment (P-LCA), an environmental extended input output (EEIO) model and re-spending models (almost ideal demand system AIDS) were applied. Direct rebound effect was measured thought the elasticity price of the electricity demand; furthermore, the environmental savings for increasing the shares of wind power into the grid were calculated via P-LCA. For doing so, a P-LCA for a wind farm in Colombia was performed, whereas the information for other energy resources (Hydro, Coal, Gas, Solar and Thermal) where collected from Ecoinvent 3.4 database. To calculate the environmental indirect rebound effect the monetary savings obtained for the environmental efficiency were calculated. For doing so, an AIDS was applied to obtain the marginal budget shares (MBS). Combining the MBS obtained with the EEIO model the monetary savings were translated into environmental indicators. The ERE is presented for ten impact categories (climate change (CC), acidification (A), ecotoxicity (E), marine eutrophication (MEUT), terrestrial eutrophication (TEUT), carcinogenic effects (CE), non-carcinogenic effects (NCE), ozone layer depletion (OD), photochemical ozone creation (POC), and respiratory effects, inorganics (RES)). Moreover, a sensitive analysis was conducted to measure the variability of the ERE to different values of the direct rebound effect and different percentages of price efficiency. The results show that the inclusion of the environmental rebound effect has generally a non-negligible impact on the overall environmental indicators across all studied years. Such impacts ranging across impact categories from 5% (eutrophication) and 6,109% (photochemical oxidant creation) for the combined model, whereas for the single model the values fall on the ranges of 1% (eutrophication) and 9,277% (photochemical oxidant creation). Further, a sensitivity analysis of the elasticity price of the electricity and the price of the electricity reveals that the ERE varies in different ways, specifically, changes in these parameters could vary the impacts, respectively, by up to about <1% and 38%. Backfire effects are present for 8 of the 10 environmental impacts studied in different magnitudes across the years, depending meanly of the savings available to re-invest.Una de las estrategias colombianas para diversificar y descarbonizar el sector energético es fomentar el uso de recursos renovables no convencionales (RNNC). Para ello, el gobierno emitió en 2014 la Ley 1715 para promover los RNNC y las mejoras de eficiencia energética en el sector. Si bien esto ayudará a cumplir el compromiso internacional y nacional de reducir las emisiones de CO2 en un 20% en 2030, este supuesto no puede ser probado de manera amplia sin tener en cuenta las consecuencias ambientales que tales iniciativas pueden producir en el sector doméstico, el mayor sector consumidor de electricidad en Colombia. Esta tesis mide el efecto rebote ambiental (ERE) de aumentar la participación de energía eólica en la red eléctrica colombiana en el sector residencial (hogares). Para ello se aplicó un modelo de evaluación del ciclo de vida basada en procesos (P-LCA), un modelo de entrada y salida ambiental extendido (EEIO) y modelos de gastos adicionales (sistema de demanda casi ideal AIDS). El efecto rebote directo se midió a través del precio de la elasticidad de la demanda de electricidad; además, el ahorro medioambiental por el aumento de la participación de energía eólica en la red se calculó a través de P-LCA. Para ello se realizó un P-LCA para un parque eólico en Colombia, mientras que la información para otros recursos energéticos (Hidro, Carbón, Gas, Solar) se tomó de la base de datos Ecoinvent 3.4. Para calcular el efecto rebote indirecto ambiental se calcularon los ahorros monetarios obtenidos por la eficiencia ambiental. Para ello se aplicó un AIDS para obtener las participaciones presupuestarias marginales (MBS). Combinando las MBS obtenidas con el modelo EEIO, el ahorro monetario se tradujo en indicadores ambientales. El ERE se presenta para diez categorías de impacto (cambio climático (CC), acidificación (A), ecotoxicidad (E), eutrofización marina (MEUT), eutrofización terrestre (TEUT), efectos cancerígenos (CE), efectos no cancerígenos (NCE), agotamiento de la capa de ozono (OD), creación fotoquímica de ozono (POC), y efectos respiratorios, inorgánicos (RES)). Además, se realizó un análisis de sensibilidad para medir la variabilidad del ERE con respecto a los diferentes valores del efecto rebote directo y los diferentes porcentajes de eficiencia de los precios. Los resultados muestran que la inclusión del efecto de rebote ambiental tiene generalmente un impacto no despreciable en los indicadores ambientales globales a lo largo de todos los años estudiados. Estos impactos oscilan entre el 5% (eutrofización) y el 6,109% (creación de oxidantes fotoquímicos) para el modelo combinado, mientras que para el modelo único los valores caen en los rangos del 1% (eutrofización) y el 9,277% (creación de oxidantes fotoquímicos). Además, un análisis de sensibilidad del precio de la elasticidad de la electricidad y del precio de la electricidad revela que la ERE varía de diferentes maneras, específicamente, los cambios en estos parámetros podrían variar los impactos, respectivamente, hasta entre un Los resultados muestran que la inclusión del efecto de rebote ambiental tiene generalmente un impacto no despreciable en los indicadores ambientales globales a lo largo de todos los años estudiados. Estos impactos oscilan entre el 5% (eutrofización) y el 6,109% (creación de oxidantes fotoquímicos) para el modelo combinado, mientras que para el modelo único los valores caen en los rangos del 1% (eutrofización) y el 9,277% (creación de oxidantes fotoquímicos). Además, un análisis de sensibilidad del precio de la elasticidad de la electricidad y del precio de la electricidad revela que la ERE varía de diferentes maneras, específicamente, los cambios en estos parámetros podrían variar los impactos, respectivamente, hasta entre un <1% y 38%. En 8 de 10 los impactos ambientales. 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Identifying rebound effects in consequential LCA

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