Suchergebnisse

Producción Científica ; A novel methodology is developed to dynamically assess the energy and material investments required over time to achieve the transition from fossil fuels to renewable energy sources in the electricity sector. The obtained results indicate that a fast transition achieving a 100% renewable electric system globally by 2060 consistent with the Green Growth narrative could decrease the EROI of the energy system from current ~12:1 to ~3:1 by the mid-century, stabilizing thereafter at ~5:1. These EROI levels are well below the thresholds identified in the literature required to sustain industrial complex societies. Moreover, this transition could drive a substantial re-materialization of the economy, exacerbating risk availability in the future for some minerals. Hence, the results obtained put into question the consistence and viability of the Green Growth narrative. ; Ministerio de Economía, Industria y Competitividad (Project no. FJCI-2016-28833) ; MEDEAS project, funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No 691287

Producción Científica ; The estimation of future energy demand is a key factor for the development of effective alternative policies towards a low carbon economy. This paper describes a novel method to estimate the energy demand in the new integrated assessment framework MEDEAS based on the projection of sectoral final energy intensities. The dynamic of each of the sectoral final energy intensity is broken down into (1) improvement in energy efficiency and (2) substitution of the final energy. The speed of changes in these factors depend on physical supply-demand unbalances in the market, climate mitigation and other energy saving policies and the perception of scarcity of the different economic agents. The simulated case studies in MEDEAS-World under the narrative of the Business-as-usual (BAU) scenario have allowed validating the model's robustness and showing the potentiality of its application. ; European Union's Horizon 2020 research and innovation programme under grant agreement No 691287 ; Ministerio de Economía, Industria y Competitividad (Project FJCI-2016-28833)

Producción Científica ; The Energy Roadmap 2050 (ER2050) is committed to achieve the European Union's emissions mitigation goals by reducing energy use and a transition to renewables. The macroeconomic impacts of the Ref16 and 'EUCO' scenarios of this strategy have been reported to entail an absolute decoupling between GDP growth and energy use. The aim of this paper is assessing the ER2050 targets with a novel modelling methodology based on Post-Keynesian Economics, i.e. demand-led economic growth and Ecological Economics, i.e. taking into account absolute biophysical (energy availability) constrains to economic growth. Thus, this article presents the Economy module of the Integrated Assessment Model MEDEAS-Europe, combining System Dynamics and Input-Output analysis, and evaluates the ER2050 targets under different scenarios regarding primary income distribution, foreign trade, labour productivity, industrial policy and working time reduction. Our results show that GDP growth and employment creation may be halted due to energy scarcity if the ER2050 targets are met even considering great energy efficiency gains. In addition, the renewables share would increase enough to reduce the energy imports dependency, but not sufficiently to meet the emissions targets. Only a Post-Growth scenario would be able to meet the climate goals and maintain the level of employment. ; European project H2020-LCE-2015-2 (691287) ; Ministerio de Economía, Industria y Competitividad (Project ECO2017-85110-R)

Producción Científica ; A diversity of integrated assessment models (IAMs) coexists due to the different approaches developed to deal with the complex interactions, high uncertainties and knowledge gaps within the environment and human societies. This paper describes the open-source MEDEAS modeling framework, which has been developed with the aim of informing decision-making to achieve the transition to sustainable energy systems with a focus on biophysical, economic, social and technological restrictions and tackling some of the limitations identified in the current IAMs. MEDEAS models include the following relevant characteristics: representation of biophysical constraints to energy availability; modeling of the mineral and energy investments for the energy transition, allowing a dynamic assessment of the potential mineral scarcities and computation of the net energy available to society; consistent representation of climate change damages with climate assessments by natural scientists; integration of detailed sectoral economic structure (input–output analysis) within a system dynamics approach; energy shifts driven by physical scarcity; and a rich set of socioeconomic and environmental impact indicators. The potentialities and novel insights that this framework brings are illustrated by the simulation of four variants of current trends with the MEDEAS-world model: the consideration of alternative plausible assumptions and methods, combined with the feedback-rich structure of the model, reveal dynamics and implications absent in classical models. Our results suggest that the continuation of current trends will drive significant biophysical scarcities and impacts which will most likely derive in regionalization (priority to security concerns and trade barriers), conflict, and ultimately, a severe global crisis which may lead to the collapse of our modern civilization. Despite depicting a much more worrying future than conventional projections of current trends, we however believe it is a more realistic counterfactual scenario that will allow the design of improved alternative sustainable pathways in future work. ; Ministerio de Economía, Industria y Competitividad (Project CO2017-85110-R) ; Ministerio de Economía, Industria y Competitividad (Project JCI-2016–28833) ; MEDEAS project, funded by the European Union's Horizon2020 research and innovation programme under grant agree-ment no. 691287. ; LOCOMOTION project, funded by the EuropeanUnion's Horizon 2020 research and innovation programmeunder grant agreement no. 821105