MODELIZACION Y SIMULACION DE ESCENARIOS DE TRANSICION ENERGETICA HACIA UNA ECONOMIA BAJA EN CARBONO: EL CASO ESPAÑOL

ECO2017-85110-R

Nombre agencia financiadora Agencia Estatal de Investigación
Acrónimo agencia financiadora AEI
Programa Programa Estatal de I+D+i Orientada a los Retos de la Sociedad
Subprograma Programa Estatal de I+D+i Orientada a los Retos de la Sociedad
Convocatoria Retos Investigación: Proyectos I+D+i
Año convocatoria 2017
Unidad de gestión Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016
Centro beneficiario UNIVERSIDAD DE VALLADOLID
Identificador persistente http://dx.doi.org/10.13039/501100011033

Publicaciones

Found(s) 2 result(s)
Found(s) 1 page(s)

Energy-socio-economic-environmental modelling for the EU energy and post-COVID-19 transitions

Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
  • Cazcarro, Ignacio
  • García-Gusano, Diego
  • Iribarren, Diego
  • Linares, Pedro
  • Romero, José Carlos
  • Arocena Garro, Pablo
  • Arto, Iñaki
  • Banacloche, Santacruz
  • Lechón, Yolanda
  • Miguel, Luis Javier
  • Zafrilla, Jorge
  • López, Luis Antonio
  • Langarita, Raquel
  • Cadarso, María Angeles
Relevant energy questions have arisen because of the COVID-19 pandemic. The pandemic shock leads to emissions' reductions consistent with the rates of decrease required to achieve the Paris Agreement goals. Those unforeseen drastic reductions in emissions are temporary as long as they do not involve structural changes. However, the COVID-19 consequences and the subsequent policy response will affect the economy for decades. Focusing on the EU, this discussion article argues how recovery plans are an opportunity to deepen the way towards a low-carbon economy, improving at the same time employment, health, and equity and the role of modelling tools. Long-term alignment with the low-carbon path and the development of a resilient transition towards renewable sources should guide instruments and policies, conditioning aid to energy-intensive sectors such as transport, tourism, and the automotive industry. However, the potential dangers of short-termism and carbon leakage persist. The current energy-socio-economic-environmental modelling tools are precious to widen the scope and deal with these complex problems. The scientific community has to assess disparate, non-equilibrium, and non-ordinary scenarios, such as sectors and countries lockdowns, drastic changes in con sumption patterns, significant investments in renewable energies, and disruptive technologies and incorporate uncertainty analysis. All these instruments will evaluate the cost-effectiveness of decarbonization options and potential consequences on employment, income distribution, and vulnerability., All the authors belong and thank the support to the MENTES network on Energy Modelling for a Sustainable Energy Transition, by the Spanish Ministry of Science, Innovation and Universities (project/grant RED2018-102794-T). I.A. and I.C. thank the support of the Spanish Ministry of Science, Innovation and Universities (MALCON, RTI2018-099858-A-I00) , the Spanish State Research Agency through Maria de Maeztu Excellence Unit accreditation 2018-2022 (Ref. MDM-2017-0714) and Basque Gov-ernment BERC Programme. L.J.M., I.A. and I.C. gratefully acknowledge the project LOCOMOTION H2020-LC-CLA-2018-2 (No 821105) and L.J.M. MODESLOW, funded under the Spanish National Research, Development and Innovation Programme (Ministry of Economy and Competitiveness of Spain, ref. ECO2017-85110-R). I.C. and R.L thank the Spanish Ministry of Science, Innovation and Universities (PID2019-106822RB-I00). M.A.C., L.A.L. and J.Z. thank the support of the University of Castilla-La Mancha and the European Fund for Regional Development (FEDER) (Ref. 020-GRIN-29137). P.L. gratefully acknowledges the support of project RTI2018-093692-B-I00 by the Spanish Ministry of Science and Innovation (MCI), the National Research Agency (AEI) and the European Fund for Regional Development (FEDER). Y.L. and S.B. gratefully acknowledge the support of project MUSTEC, funded by the European Union's Horizon 2020 research and innovation programme under grant agreement no. 764626.




Just transitions to renewables in mining areas: Local system dynamics

BULERIA. Repositorio Institucional de la Universidad de León
  • García-García, Pablo
  • Carpintero, Óscar
  • Buendía García, Luis
[EN] In the field of just energy transitions, local scales have been relegated and limited to qualitative approaches with non-specific methods by observation. Local quantitative approaches have gained popularity but remain far from the topic of just transitions and elude rural areas, probably because of data scarcity. Amid the quantitative panoply, system dynamics is attracting greater attention to alleviate such data shortages. Yet, despite the claim for holistic approaches, its application is scarce in rural contexts. This research presents an intuitive, scalable, and easily adaptable modelling exercise through system dynamics to estimate the effects on net employment and land availability of restructuring towards renewable energy sources in the rural mining areas of León (Spain), presenting possible lessons and policy implications for local and rural just transitions. A partially just transition is feasible in the short term, but a properly just transition is three decades late. The most optimistic projections suggest the potential creation of around five thousand jobs per zone, which is significantly fewer than the approximately forty-five thousand jobs that were recorded during the peak years of coal mining exploitation. Renewables fail to keep a young, qualified population in the areas, therefore showing the need to potentiate alternative activities, as well as causing sensitive trade-offs between land requirements and potential net employment. Land reductions for renewable projects vary depending on the scenario, ranging from 6 % to 17 %. This range poses a threat to the ecological integrity of these areas., SI