Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica

Greenhouse gas emissions are related to non-renewable sources. For this reason, the methodological guide for the estimation of methane and carbon dioxide emissions in flooded lands was published in 2006 by the Intergovernmental Panel on Climate Change. Since 2016, several studies have been carried o...
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Autor*in:	Rhonmer Orlando Pérez-Cedeño [verfasserIn] Rodrigo Ramírez-Pisco [verfasserIn] Carmen Luisa Vásquez-Stanescu [verfasserIn] Leonardo Suárez-Matarrita [verfasserIn] Mercedes Gaitán-Ángulo [verfasserIn] Melva Gómez-Caicedo [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Methane emissions hydroelectric dam emission factor Costa Rica

Übergeordnetes Werk:	In: Revista Facultad de Ingeniería Universidad de Antioquia - Universidad de Antioquia, 2023, (2023)
Übergeordnetes Werk:	year:2023

Links:	Link aufrufen Link aufrufen Journal toc Journal toc

Katalog-ID:	DOAJ090586972

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allfields	(DE-627)DOAJ090586972 (DE-599)DOAJaf0466e360d149c78804a40cd30a782c DE-627 ger DE-627 rakwb eng TA1-2040 Rhonmer Orlando Pérez-Cedeño verfasserin aut Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Greenhouse gas emissions are related to non-renewable sources. For this reason, the methodological guide for the estimation of methane and carbon dioxide emissions in flooded lands was published in 2006 by the Intergovernmental Panel on Climate Change. Since 2016, several studies have been carried out in temperate and tropical zones reservoirs. Costa Rica is a Central American country known for its large hydroelectric resources and its highly renewable electricity generation matrix. This work represents the first study for 11 of 24 hydroelectric plants managed by the Costa Rican Electricity Institute. Methane emissions, energy density and emission factors for electricity generation are determined. Furthermore, a static mathematical model is used to determine these factors with little input data. It is estimated that the greatest contribution to methane emissions corresponds to the Arenal reservoir, which has the largest surface area and the lowest energy density. Methane emissions hydroelectric dam emission factor Costa Rica Engineering (General). Civil engineering (General) Rodrigo Ramírez-Pisco verfasserin aut Carmen Luisa Vásquez-Stanescu verfasserin aut Leonardo Suárez-Matarrita verfasserin aut Mercedes Gaitán-Ángulo verfasserin aut Melva Gómez-Caicedo verfasserin aut In Revista Facultad de Ingeniería Universidad de Antioquia Universidad de Antioquia, 2023 (2023) (DE-627)604939167 (DE-600)2505796-0 24222844 nnns year:2023 https://doaj.org/article/af0466e360d149c78804a40cd30a782c kostenfrei https://revistas.udea.edu.co/index.php/ingenieria/article/view/351018 kostenfrei https://doaj.org/toc/0120-6230 Journal toc kostenfrei https://doaj.org/toc/2422-2844 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2023
spelling	(DE-627)DOAJ090586972 (DE-599)DOAJaf0466e360d149c78804a40cd30a782c DE-627 ger DE-627 rakwb eng TA1-2040 Rhonmer Orlando Pérez-Cedeño verfasserin aut Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Greenhouse gas emissions are related to non-renewable sources. For this reason, the methodological guide for the estimation of methane and carbon dioxide emissions in flooded lands was published in 2006 by the Intergovernmental Panel on Climate Change. Since 2016, several studies have been carried out in temperate and tropical zones reservoirs. Costa Rica is a Central American country known for its large hydroelectric resources and its highly renewable electricity generation matrix. This work represents the first study for 11 of 24 hydroelectric plants managed by the Costa Rican Electricity Institute. Methane emissions, energy density and emission factors for electricity generation are determined. Furthermore, a static mathematical model is used to determine these factors with little input data. It is estimated that the greatest contribution to methane emissions corresponds to the Arenal reservoir, which has the largest surface area and the lowest energy density. Methane emissions hydroelectric dam emission factor Costa Rica Engineering (General). Civil engineering (General) Rodrigo Ramírez-Pisco verfasserin aut Carmen Luisa Vásquez-Stanescu verfasserin aut Leonardo Suárez-Matarrita verfasserin aut Mercedes Gaitán-Ángulo verfasserin aut Melva Gómez-Caicedo verfasserin aut In Revista Facultad de Ingeniería Universidad de Antioquia Universidad de Antioquia, 2023 (2023) (DE-627)604939167 (DE-600)2505796-0 24222844 nnns year:2023 https://doaj.org/article/af0466e360d149c78804a40cd30a782c kostenfrei https://revistas.udea.edu.co/index.php/ingenieria/article/view/351018 kostenfrei https://doaj.org/toc/0120-6230 Journal toc kostenfrei https://doaj.org/toc/2422-2844 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2023
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allfieldsGer	(DE-627)DOAJ090586972 (DE-599)DOAJaf0466e360d149c78804a40cd30a782c DE-627 ger DE-627 rakwb eng TA1-2040 Rhonmer Orlando Pérez-Cedeño verfasserin aut Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Greenhouse gas emissions are related to non-renewable sources. For this reason, the methodological guide for the estimation of methane and carbon dioxide emissions in flooded lands was published in 2006 by the Intergovernmental Panel on Climate Change. Since 2016, several studies have been carried out in temperate and tropical zones reservoirs. Costa Rica is a Central American country known for its large hydroelectric resources and its highly renewable electricity generation matrix. This work represents the first study for 11 of 24 hydroelectric plants managed by the Costa Rican Electricity Institute. Methane emissions, energy density and emission factors for electricity generation are determined. Furthermore, a static mathematical model is used to determine these factors with little input data. It is estimated that the greatest contribution to methane emissions corresponds to the Arenal reservoir, which has the largest surface area and the lowest energy density. Methane emissions hydroelectric dam emission factor Costa Rica Engineering (General). Civil engineering (General) Rodrigo Ramírez-Pisco verfasserin aut Carmen Luisa Vásquez-Stanescu verfasserin aut Leonardo Suárez-Matarrita verfasserin aut Mercedes Gaitán-Ángulo verfasserin aut Melva Gómez-Caicedo verfasserin aut In Revista Facultad de Ingeniería Universidad de Antioquia Universidad de Antioquia, 2023 (2023) (DE-627)604939167 (DE-600)2505796-0 24222844 nnns year:2023 https://doaj.org/article/af0466e360d149c78804a40cd30a782c kostenfrei https://revistas.udea.edu.co/index.php/ingenieria/article/view/351018 kostenfrei https://doaj.org/toc/0120-6230 Journal toc kostenfrei https://doaj.org/toc/2422-2844 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2023
allfieldsSound	(DE-627)DOAJ090586972 (DE-599)DOAJaf0466e360d149c78804a40cd30a782c DE-627 ger DE-627 rakwb eng TA1-2040 Rhonmer Orlando Pérez-Cedeño verfasserin aut Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Greenhouse gas emissions are related to non-renewable sources. For this reason, the methodological guide for the estimation of methane and carbon dioxide emissions in flooded lands was published in 2006 by the Intergovernmental Panel on Climate Change. Since 2016, several studies have been carried out in temperate and tropical zones reservoirs. Costa Rica is a Central American country known for its large hydroelectric resources and its highly renewable electricity generation matrix. This work represents the first study for 11 of 24 hydroelectric plants managed by the Costa Rican Electricity Institute. Methane emissions, energy density and emission factors for electricity generation are determined. Furthermore, a static mathematical model is used to determine these factors with little input data. It is estimated that the greatest contribution to methane emissions corresponds to the Arenal reservoir, which has the largest surface area and the lowest energy density. Methane emissions hydroelectric dam emission factor Costa Rica Engineering (General). Civil engineering (General) Rodrigo Ramírez-Pisco verfasserin aut Carmen Luisa Vásquez-Stanescu verfasserin aut Leonardo Suárez-Matarrita verfasserin aut Mercedes Gaitán-Ángulo verfasserin aut Melva Gómez-Caicedo verfasserin aut In Revista Facultad de Ingeniería Universidad de Antioquia Universidad de Antioquia, 2023 (2023) (DE-627)604939167 (DE-600)2505796-0 24222844 nnns year:2023 https://doaj.org/article/af0466e360d149c78804a40cd30a782c kostenfrei https://revistas.udea.edu.co/index.php/ingenieria/article/view/351018 kostenfrei https://doaj.org/toc/0120-6230 Journal toc kostenfrei https://doaj.org/toc/2422-2844 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2023
language	English
source	In Revista Facultad de Ingeniería Universidad de Antioquia (2023) year:2023
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topic_facet	Methane emissions hydroelectric dam emission factor Costa Rica Engineering (General). Civil engineering (General)
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author	Rhonmer Orlando Pérez-Cedeño
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topic_title	TA1-2040 Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica Methane emissions hydroelectric dam emission factor Costa Rica
topic	misc TA1-2040 misc Methane emissions misc hydroelectric dam misc emission factor misc Costa Rica misc Engineering (General). Civil engineering (General)
topic_unstemmed	misc TA1-2040 misc Methane emissions misc hydroelectric dam misc emission factor misc Costa Rica misc Engineering (General). Civil engineering (General)
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title	Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica
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title_full	Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica
author_sort	Rhonmer Orlando Pérez-Cedeño
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title_sort	estimation of methane emissions from reservoirs for hydroelectric generation in costa rica
callnumber	TA1-2040
title_auth	Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica
abstract	Greenhouse gas emissions are related to non-renewable sources. For this reason, the methodological guide for the estimation of methane and carbon dioxide emissions in flooded lands was published in 2006 by the Intergovernmental Panel on Climate Change. Since 2016, several studies have been carried out in temperate and tropical zones reservoirs. Costa Rica is a Central American country known for its large hydroelectric resources and its highly renewable electricity generation matrix. This work represents the first study for 11 of 24 hydroelectric plants managed by the Costa Rican Electricity Institute. Methane emissions, energy density and emission factors for electricity generation are determined. Furthermore, a static mathematical model is used to determine these factors with little input data. It is estimated that the greatest contribution to methane emissions corresponds to the Arenal reservoir, which has the largest surface area and the lowest energy density.
abstractGer	Greenhouse gas emissions are related to non-renewable sources. For this reason, the methodological guide for the estimation of methane and carbon dioxide emissions in flooded lands was published in 2006 by the Intergovernmental Panel on Climate Change. Since 2016, several studies have been carried out in temperate and tropical zones reservoirs. Costa Rica is a Central American country known for its large hydroelectric resources and its highly renewable electricity generation matrix. This work represents the first study for 11 of 24 hydroelectric plants managed by the Costa Rican Electricity Institute. Methane emissions, energy density and emission factors for electricity generation are determined. Furthermore, a static mathematical model is used to determine these factors with little input data. It is estimated that the greatest contribution to methane emissions corresponds to the Arenal reservoir, which has the largest surface area and the lowest energy density.
abstract_unstemmed	Greenhouse gas emissions are related to non-renewable sources. For this reason, the methodological guide for the estimation of methane and carbon dioxide emissions in flooded lands was published in 2006 by the Intergovernmental Panel on Climate Change. Since 2016, several studies have been carried out in temperate and tropical zones reservoirs. Costa Rica is a Central American country known for its large hydroelectric resources and its highly renewable electricity generation matrix. This work represents the first study for 11 of 24 hydroelectric plants managed by the Costa Rican Electricity Institute. Methane emissions, energy density and emission factors for electricity generation are determined. Furthermore, a static mathematical model is used to determine these factors with little input data. It is estimated that the greatest contribution to methane emissions corresponds to the Arenal reservoir, which has the largest surface area and the lowest energy density.
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title_short	Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica
url	https://doaj.org/article/af0466e360d149c78804a40cd30a782c https://revistas.udea.edu.co/index.php/ingenieria/article/view/351018 https://doaj.org/toc/0120-6230 https://doaj.org/toc/2422-2844
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Estimation of methane emissions from reservoirs for hydroelectric generation in Costa Rica

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