Meeting air pollution reduction targets cost-effectively across Portugal
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/29703 |
Resumo: | The topic of emission reduction has been a big concern in Europe as, although the emissions of pollutants have been decreasing, air pollution remains a problem. The present work aims to bridge the existing gap on the literature, finding spatially distributed solutions that achieve the emissions targets imposed by the National Emission Ceilings Directive (NEC) for 2030, using Portugal as a case study. The main objective of this dissertation is to find technologies that can achieve Portugal's NEC in a cost-effective way. For this purpose the identification of the most crucial sector activity categories regarding the emissions and the identification of the cheapest technologies that will enable the achievement of the targets, through the GAINS model database in activity level, emissions and costs by technology was performed, as well as the identification of the areas of Portugal for which those measures should be applied to achieve the target in a cost-effective way through the EESIP-Air model application, using spatially distributed emission data taken from EMEP. This work provides essential information to support and define an integrated strategy to fulfil NEC. Results show that the areas of Portugal with the highest levels of pollutant emissions are the west coast, with an incidence in the urban areas of Porto and Lisbon and, concerning NH3, also the areas of Alentejo and Trás-os-Montes (agricultural areas). NOx is the pollutant for which CLE2030 simulations are closer to the ceiling due to the measures related to the transport sector (European emission standards) so that, the extra effort to be done is not as relevant as for the other pollutants - NH3, SO2, NMVOC and PM2.5. Scenario OPT2030 led to the best solutions to achieve the NEC targets (43 kt/year for NH3, 95 kt/year for NOx, 27 kt/year for PM2.5, 30 kt/year for SO2 and 132 kt/year for VOC), allowing the reduction of the emission in 14% (NH3), 25% (NOx), 45% (PM2.5), 35% (SO2), and 21% (NMVOC) comparing with the scenario CLE2015. The costs obtained for each scenario are: 543 m€/year (CLE2015), 509 m€/year (CLE2030) and 518 m€/year (OPT2030). OPT2030 implies an increase in 2% relative to the cost for scenario CLE2030, however it represents the minimum required to achieve the NEC targets. |
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Meeting air pollution reduction targets cost-effectively across PortugalAir pollutionEmssion reduction scenarios2030 targetsEnvironmental economyCost-efficiencyCost-effectivenessThe topic of emission reduction has been a big concern in Europe as, although the emissions of pollutants have been decreasing, air pollution remains a problem. The present work aims to bridge the existing gap on the literature, finding spatially distributed solutions that achieve the emissions targets imposed by the National Emission Ceilings Directive (NEC) for 2030, using Portugal as a case study. The main objective of this dissertation is to find technologies that can achieve Portugal's NEC in a cost-effective way. For this purpose the identification of the most crucial sector activity categories regarding the emissions and the identification of the cheapest technologies that will enable the achievement of the targets, through the GAINS model database in activity level, emissions and costs by technology was performed, as well as the identification of the areas of Portugal for which those measures should be applied to achieve the target in a cost-effective way through the EESIP-Air model application, using spatially distributed emission data taken from EMEP. This work provides essential information to support and define an integrated strategy to fulfil NEC. Results show that the areas of Portugal with the highest levels of pollutant emissions are the west coast, with an incidence in the urban areas of Porto and Lisbon and, concerning NH3, also the areas of Alentejo and Trás-os-Montes (agricultural areas). NOx is the pollutant for which CLE2030 simulations are closer to the ceiling due to the measures related to the transport sector (European emission standards) so that, the extra effort to be done is not as relevant as for the other pollutants - NH3, SO2, NMVOC and PM2.5. Scenario OPT2030 led to the best solutions to achieve the NEC targets (43 kt/year for NH3, 95 kt/year for NOx, 27 kt/year for PM2.5, 30 kt/year for SO2 and 132 kt/year for VOC), allowing the reduction of the emission in 14% (NH3), 25% (NOx), 45% (PM2.5), 35% (SO2), and 21% (NMVOC) comparing with the scenario CLE2015. The costs obtained for each scenario are: 543 m€/year (CLE2015), 509 m€/year (CLE2030) and 518 m€/year (OPT2030). OPT2030 implies an increase in 2% relative to the cost for scenario CLE2030, however it represents the minimum required to achieve the NEC targets.O tema da redução de emissões tem sido uma grande preocupação na Europa pois, embora as emissões de poluentes tenham diminuído, a poluição do ar continua a constituir um problema. O presente trabalho tem como objetivo preencher a lacuna existente na literatura, encontrando soluções espacialmente distribuídas que atinjam as metas de emissões impostas pela Diretiva Tetos de Emissão Nacional (TEN) para 2030, usando Portugal como estudo de caso. O principal objetivo desta dissertação é encontrar tecnologias que permitam atingir os tetos para Portugal ao mais baixo custo. Para esse fim, foram identificadas as categorias de atividades mais relevantes de cada setor em relação às emissões e as tecnologias mais baratas que permitirão o alcance das metas, recorrendo à base de dados do modelo GAINS sobre nível de atividade, emissões e custos por tecnologia. Foram também identificadas as áreas de Portugal para as quais essas medidas devem ser aplicadas de forma a atingir os objetivos de forma económica através da utilização do modelo EESIP-Air, usando dados de emissões espacialmente distribuídos retirados do EMEP. As áreas de Portugal com emissões de poluentes mais elevadas são a costa oeste, com incidência nas áreas urbanas do Porto e Lisboa e, no que diz respeito ao NH3, também as áreas do Alentejo e Trás-os-Montes (áreas agrícolas). O NOx é o poluente para o qual as simulações do cenário CLE2030 estão mais próximas do teto devido às medidas adotadas no setor de transportes (normas europeias de emissão), de modo que o esforço extra a ser feito não é tão relevante quanto para outros poluentes NH3, SO2, NMVOC e PM2.5. O cenário OPT2030 apresentou as melhores soluções para atingir os TEN (43 kt / ano para NH3, 95 kt / ano para NOx, 27 kt / ano para PM2,5, 30 kt / ano para SO2 e 132 kt / ano para VOC), permitindo a redução da emissão em 14% (NH3), 25% (NOx), 45% (PM2,5), 35% (SO2) e 21% (NMVOC) em comparação com o cenário CLE2015. Os custos obtidos para cada cenário são: 543 m€ / ano (CLE2015), 509 m€ / ano (CLE2030) e 518 m€ / ano (OPT2030). O OPT2030 implica um aumento de 2% em relação ao custo do cenário CLE2030, no entanto, o mínimo necessário para atingir os TEN. Este trabalho fornece informações essenciais para apoiar e definir uma estratégia integrada para atingir os TEN.2020-11-03T17:04:38Z2020-07-01T00:00:00Z2020-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/29703engCarvalho, Ana Rita Sousainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:57:28Zoai:ria.ua.pt:10773/29703Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:01:58.111390Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Meeting air pollution reduction targets cost-effectively across Portugal |
title |
Meeting air pollution reduction targets cost-effectively across Portugal |
spellingShingle |
Meeting air pollution reduction targets cost-effectively across Portugal Carvalho, Ana Rita Sousa Air pollution Emssion reduction scenarios 2030 targets Environmental economy Cost-efficiency Cost-effectiveness |
title_short |
Meeting air pollution reduction targets cost-effectively across Portugal |
title_full |
Meeting air pollution reduction targets cost-effectively across Portugal |
title_fullStr |
Meeting air pollution reduction targets cost-effectively across Portugal |
title_full_unstemmed |
Meeting air pollution reduction targets cost-effectively across Portugal |
title_sort |
Meeting air pollution reduction targets cost-effectively across Portugal |
author |
Carvalho, Ana Rita Sousa |
author_facet |
Carvalho, Ana Rita Sousa |
author_role |
author |
dc.contributor.author.fl_str_mv |
Carvalho, Ana Rita Sousa |
dc.subject.por.fl_str_mv |
Air pollution Emssion reduction scenarios 2030 targets Environmental economy Cost-efficiency Cost-effectiveness |
topic |
Air pollution Emssion reduction scenarios 2030 targets Environmental economy Cost-efficiency Cost-effectiveness |
description |
The topic of emission reduction has been a big concern in Europe as, although the emissions of pollutants have been decreasing, air pollution remains a problem. The present work aims to bridge the existing gap on the literature, finding spatially distributed solutions that achieve the emissions targets imposed by the National Emission Ceilings Directive (NEC) for 2030, using Portugal as a case study. The main objective of this dissertation is to find technologies that can achieve Portugal's NEC in a cost-effective way. For this purpose the identification of the most crucial sector activity categories regarding the emissions and the identification of the cheapest technologies that will enable the achievement of the targets, through the GAINS model database in activity level, emissions and costs by technology was performed, as well as the identification of the areas of Portugal for which those measures should be applied to achieve the target in a cost-effective way through the EESIP-Air model application, using spatially distributed emission data taken from EMEP. This work provides essential information to support and define an integrated strategy to fulfil NEC. Results show that the areas of Portugal with the highest levels of pollutant emissions are the west coast, with an incidence in the urban areas of Porto and Lisbon and, concerning NH3, also the areas of Alentejo and Trás-os-Montes (agricultural areas). NOx is the pollutant for which CLE2030 simulations are closer to the ceiling due to the measures related to the transport sector (European emission standards) so that, the extra effort to be done is not as relevant as for the other pollutants - NH3, SO2, NMVOC and PM2.5. Scenario OPT2030 led to the best solutions to achieve the NEC targets (43 kt/year for NH3, 95 kt/year for NOx, 27 kt/year for PM2.5, 30 kt/year for SO2 and 132 kt/year for VOC), allowing the reduction of the emission in 14% (NH3), 25% (NOx), 45% (PM2.5), 35% (SO2), and 21% (NMVOC) comparing with the scenario CLE2015. The costs obtained for each scenario are: 543 m€/year (CLE2015), 509 m€/year (CLE2030) and 518 m€/year (OPT2030). OPT2030 implies an increase in 2% relative to the cost for scenario CLE2030, however it represents the minimum required to achieve the NEC targets. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-03T17:04:38Z 2020-07-01T00:00:00Z 2020-07 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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http://hdl.handle.net/10773/29703 |
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http://hdl.handle.net/10773/29703 |
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eng |
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