A methodological integrated approach to analyse climate change effects in agri-food sector: The TIMES water-energy-food module
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/116765 |
Resumo: | The European Union’s 2030 climate and energy policy and the 2030 Agenda for Sustainable Development underline the commitment to mitigate climate change and reduce its impacts by supporting sustainable use of resources. This commitment has become stricter in light of the ambitious climate neutrality target set by the European Green Deal for 2050. Water, Energy and Food are the key variables of the “Nexus Thinking” which face the sustainability challenge with a multi-sectoral approach. The aim of the paper is to show the methodological path toward the implementation of an integrated modeling platform based on the Nexus approach and consolidated energy system analysis methods to represent the agri-food system in a circular economy perspective (from the use of water, energy, biomass, and land to food production). The final aim is to support decision-making connected to climate change mitigation. The IEA-The Integrated MARKAL-EFOM System (TIMES) model generator was used to build up the Basilicata Water, Energy and Food model (TIMES-WEF model), which allows users a comprehensive evaluation of the impacts of climate change on the Basilicata agri-food system in terms of land use, yields and water availability and a critical comparison of these indicators in different scenarios. The paper focuses on the construction of the model’s Reference Energy and Material System of the TIMES model, which integrates water and agricultural commodities into the energy framework, and on the results obtained through the calibration of the model β version to statistical data on agricultural activities. |
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A methodological integrated approach to analyse climate change effects in agri-food sector: The TIMES water-energy-food moduleAgri-food systemBasilicata regionClimate change mitigationIEA-TIMES modelLand useNexus ThinkingScenario analysisPublic Health, Environmental and Occupational HealthHealth, Toxicology and MutagenesisSDG 2 - Zero HungerSDG 3 - Good Health and Well-beingSDG 6 - Clean Water and SanitationSDG 7 - Affordable and Clean EnergySDG 8 - Decent Work and Economic GrowthSDG 12 - Responsible Consumption and ProductionSDG 13 - Climate ActionSDG 15 - Life on LandSDG 17 - Partnerships for the GoalsThe European Union’s 2030 climate and energy policy and the 2030 Agenda for Sustainable Development underline the commitment to mitigate climate change and reduce its impacts by supporting sustainable use of resources. This commitment has become stricter in light of the ambitious climate neutrality target set by the European Green Deal for 2050. Water, Energy and Food are the key variables of the “Nexus Thinking” which face the sustainability challenge with a multi-sectoral approach. The aim of the paper is to show the methodological path toward the implementation of an integrated modeling platform based on the Nexus approach and consolidated energy system analysis methods to represent the agri-food system in a circular economy perspective (from the use of water, energy, biomass, and land to food production). The final aim is to support decision-making connected to climate change mitigation. The IEA-The Integrated MARKAL-EFOM System (TIMES) model generator was used to build up the Basilicata Water, Energy and Food model (TIMES-WEF model), which allows users a comprehensive evaluation of the impacts of climate change on the Basilicata agri-food system in terms of land use, yields and water availability and a critical comparison of these indicators in different scenarios. The paper focuses on the construction of the model’s Reference Energy and Material System of the TIMES model, which integrates water and agricultural commodities into the energy framework, and on the results obtained through the calibration of the model β version to statistical data on agricultural activities.CENSE - Centro de Investigação em Ambiente e SustentabilidadeRUNTortorella, Maria MaddalenaDi Leo, SenatroCosmi, CarmelinaFortes, PatríciaViccaro, MauroCozzi, MarioPietrapertosa, FilomenaSalvia, MonicaRomano, Severino2021-05-02T22:52:33Z2020-10-222020-10-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article21application/pdfhttp://hdl.handle.net/10362/116765eng1661-7827PURE: 29510863https://doi.org/10.3390/ijerph17217703info: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:RCAAP2024-03-11T04:59:32Zoai:run.unl.pt:10362/116765Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:43:16.457005Repositório 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 |
A methodological integrated approach to analyse climate change effects in agri-food sector: The TIMES water-energy-food module |
title |
A methodological integrated approach to analyse climate change effects in agri-food sector: The TIMES water-energy-food module |
spellingShingle |
A methodological integrated approach to analyse climate change effects in agri-food sector: The TIMES water-energy-food module Tortorella, Maria Maddalena Agri-food system Basilicata region Climate change mitigation IEA-TIMES model Land use Nexus Thinking Scenario analysis Public Health, Environmental and Occupational Health Health, Toxicology and Mutagenesis SDG 2 - Zero Hunger SDG 3 - Good Health and Well-being SDG 6 - Clean Water and Sanitation SDG 7 - Affordable and Clean Energy SDG 8 - Decent Work and Economic Growth SDG 12 - Responsible Consumption and Production SDG 13 - Climate Action SDG 15 - Life on Land SDG 17 - Partnerships for the Goals |
title_short |
A methodological integrated approach to analyse climate change effects in agri-food sector: The TIMES water-energy-food module |
title_full |
A methodological integrated approach to analyse climate change effects in agri-food sector: The TIMES water-energy-food module |
title_fullStr |
A methodological integrated approach to analyse climate change effects in agri-food sector: The TIMES water-energy-food module |
title_full_unstemmed |
A methodological integrated approach to analyse climate change effects in agri-food sector: The TIMES water-energy-food module |
title_sort |
A methodological integrated approach to analyse climate change effects in agri-food sector: The TIMES water-energy-food module |
author |
Tortorella, Maria Maddalena |
author_facet |
Tortorella, Maria Maddalena Di Leo, Senatro Cosmi, Carmelina Fortes, Patrícia Viccaro, Mauro Cozzi, Mario Pietrapertosa, Filomena Salvia, Monica Romano, Severino |
author_role |
author |
author2 |
Di Leo, Senatro Cosmi, Carmelina Fortes, Patrícia Viccaro, Mauro Cozzi, Mario Pietrapertosa, Filomena Salvia, Monica Romano, Severino |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
CENSE - Centro de Investigação em Ambiente e Sustentabilidade RUN |
dc.contributor.author.fl_str_mv |
Tortorella, Maria Maddalena Di Leo, Senatro Cosmi, Carmelina Fortes, Patrícia Viccaro, Mauro Cozzi, Mario Pietrapertosa, Filomena Salvia, Monica Romano, Severino |
dc.subject.por.fl_str_mv |
Agri-food system Basilicata region Climate change mitigation IEA-TIMES model Land use Nexus Thinking Scenario analysis Public Health, Environmental and Occupational Health Health, Toxicology and Mutagenesis SDG 2 - Zero Hunger SDG 3 - Good Health and Well-being SDG 6 - Clean Water and Sanitation SDG 7 - Affordable and Clean Energy SDG 8 - Decent Work and Economic Growth SDG 12 - Responsible Consumption and Production SDG 13 - Climate Action SDG 15 - Life on Land SDG 17 - Partnerships for the Goals |
topic |
Agri-food system Basilicata region Climate change mitigation IEA-TIMES model Land use Nexus Thinking Scenario analysis Public Health, Environmental and Occupational Health Health, Toxicology and Mutagenesis SDG 2 - Zero Hunger SDG 3 - Good Health and Well-being SDG 6 - Clean Water and Sanitation SDG 7 - Affordable and Clean Energy SDG 8 - Decent Work and Economic Growth SDG 12 - Responsible Consumption and Production SDG 13 - Climate Action SDG 15 - Life on Land SDG 17 - Partnerships for the Goals |
description |
The European Union’s 2030 climate and energy policy and the 2030 Agenda for Sustainable Development underline the commitment to mitigate climate change and reduce its impacts by supporting sustainable use of resources. This commitment has become stricter in light of the ambitious climate neutrality target set by the European Green Deal for 2050. Water, Energy and Food are the key variables of the “Nexus Thinking” which face the sustainability challenge with a multi-sectoral approach. The aim of the paper is to show the methodological path toward the implementation of an integrated modeling platform based on the Nexus approach and consolidated energy system analysis methods to represent the agri-food system in a circular economy perspective (from the use of water, energy, biomass, and land to food production). The final aim is to support decision-making connected to climate change mitigation. The IEA-The Integrated MARKAL-EFOM System (TIMES) model generator was used to build up the Basilicata Water, Energy and Food model (TIMES-WEF model), which allows users a comprehensive evaluation of the impacts of climate change on the Basilicata agri-food system in terms of land use, yields and water availability and a critical comparison of these indicators in different scenarios. The paper focuses on the construction of the model’s Reference Energy and Material System of the TIMES model, which integrates water and agricultural commodities into the energy framework, and on the results obtained through the calibration of the model β version to statistical data on agricultural activities. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-22 2020-10-22T00:00:00Z 2021-05-02T22:52:33Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/116765 |
url |
http://hdl.handle.net/10362/116765 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1661-7827 PURE: 29510863 https://doi.org/10.3390/ijerph17217703 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
21 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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