System dynamics modeling for renewable energy and CO2 emissions : a case study of Ecuador

It is clear that renewable energy plays a crucial role in achieving a reduction of greenhouse gas emissions. This paper presents a model approach of CO$_2$ emissions in Ecuador in the upcoming years, up to 2020. The main goal of this work is to study in detail the way the changes in the energy matri...

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Detalles Bibliográficos
Autores: Robalino López, Andrés, Mena Nieto, Ángel Isidro, García Ramos, José Enrique
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universidad de Huelva (UHU)
Repositorio:Arias Montano. Repositorio Institucional de la Universidad de Huelva
Idioma:inglés
OAI Identifier:oai:ariasmontano.uhu.es:10272/7743
Acceso en línea:http://hdl.handle.net/10272/7743
Access Level:acceso abierto
Palabra clave:CO2 emissions
System dynamics
Kaya identity
Ecuador
Descripción
Sumario:It is clear that renewable energy plays a crucial role in achieving a reduction of greenhouse gas emissions. This paper presents a model approach of CO$_2$ emissions in Ecuador in the upcoming years, up to 2020. The main goal of this work is to study in detail the way the changes in the energy matrix and in the Gross Domestic Product (GDP) will affect the CO$_2$ emissions of the country. In particular, we will pay special attention to the effect of a reduction of the share of fossil energy, as well as of an improvement in the efficiency of the fossil energy use. We have developed a system dynamics model based on a relationship, which is a variation of the Kaya identity, and on a GDP that depends on renewable energy, which introduces a feedback mechanism in the model. The main conclusion is that it is possible to control the CO$_2$ emissions even under a scenario of continuous increase of the GDP, if it is combined with an increase of the use of renewable energy, with an improvement of the productive sectoral structure and with the use of a more efficient fossil fuel technology. This study offers useful lessons for developing countries, and it could be used as a policy-making tool because it is easily transferable to any other time period or region.