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M18. Identificación de necesidades de información de actores clave para la transición energética: Reflexionando sobre los aspectos sociales y ambientales en modelización

Authors: Pérez Sánchez, Cristina; Sierra-Montoya, Miquel; Madrid-López, Cristina;

M18. Identificación de necesidades de información de actores clave para la transición energética: Reflexionando sobre los aspectos sociales y ambientales en modelización

Abstract

Las políticas energéticas se diseñan con el apoyo de modelos energéticos tecno-económicos que no son capaces de valorar muchos de los impactos ambientales y sociales que la transición energética puede conllevar. La herramienta de código abierto ENBIOS (Environmental and Bioeconomic System Assessment) ha sido diseñada para llenar este vacío y combina dos marcos metodológicos muy reconocidos en el estudio de la sostenibilidad: el análisis de ciclo de vida y el análisis del metabolismo social. Para entender las perspectivas de distintos grupos de interés (política, ciencia, industria y ONGs) sobre las cuestiones que se deben considerar al planificar la transición energética, en LIVEN organizamos un taller en el que participaron 14 personas de distintas entidades. El taller tuvo lugar en Junio de 2022 de forma virtual y siguió una metodología Delphi, con una encuesta inicial que valoraba la importancia de distintos impactos ambientales y sociales de los sistemas energéticos, seguida de una presentación de las respuestas agregadas, una discusión en la que se profundizaba los factores y por último una segunda ronda de la encuesta. En este informe se recogen los resultados del proceso participativo y su implementación en la modelización de impactos ambientales de los escenarios del PNIEC con ENBIOS.

This research is funded by the Spanish Research Agency with grant PID2020-119565RJ-I00. Opinions are the authors'.

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Keywords

Participatory Modelling, Climate change, Water, Biodiversity, Life Cycle Assessment, MuSIASEM, Energy transition

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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