Economic Impacts of Future Changes in the Energy System—National Perspectives

Autor: James Glynn, Sandrine Selosse, Peggy Mischke, Maurizio Gargiulo, Brian Ó Gallachóir, Neil Strachan, Marc Vielle, Socrates Kypreos, Antti Lehtilä, Bruno Merven, Kenneth Bernard Karlsson, Tom Kober, Maryse Labriet, Per Ivar Helgesen, Patrícia Fortes, Hancheng Dai, Phil Summerton, Anna Krook-Riekkola
Přispěvatelé: Environmental Research Institute [Cork] (ERI), University College Cork (UCC), Centro de Investigação em Ambiente e Sustentabilidade [Lisbonne] (CENSE), Faculdade de Ciências e Tecnologia = School of Science & Technology (FCT NOVA), Universidade Nova de Lisboa = NOVA University Lisbon (NOVA)-Universidade Nova de Lisboa = NOVA University Lisbon (NOVA), Department of Business Administration, Luleå University of Technology (LUT), Eneris Environment Energy Consultants, Ecole Polytechnique Fédérale de Lausanne (EPFL), Paul Scherrer Institute (PSI), VTT Information technology, Technical Research Centre of Finland, Department of Management Engineering, Technical University of Denmark [Lyngby] (DTU), Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU)-Norwegian University of Science and Technology (NTNU), Policy Studies Department, Energy Research Centre of the Netherlands (ECN), Cambridge Econometrics, University of Cape Town, Centre de Mathématiques Appliquées (CMA), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), George Giannakidis, Maryse Labriet, Brian Ó Gallachóir, GianCarlo Tosato, Chaire MPDD
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Informing Energy and Climate Policies Using Energy Systems Models: Insights from Scenario Analysis Increasing the Evidence Base
George Giannakidis, Maryse Labriet, Brian Ó Gallachóir, GianCarlo Tosato. Informing Energy and Climate Policies Using Energy Systems Models: Insights from Scenario Analysis Increasing the Evidence Base, 30 (Part III), Springer International Publishing, pp.359-387, 2015, Lecture Notes in Energy, 978-3-319-16539-4. ⟨10.1007/978-3-319-16540-0_20⟩
Lecture Notes in Energy ISBN: 9783319165394
Informing energy and climate policies using energy systems models. Insights from scenario analysis increasing the evidence base
Glynn, J, Fortes, P, Krook-Riekkola, A, Labriet, M, Vielle, M, Kypreos, S, Lehtilä, A, Mischke, P, Dai, H, Gargiulo, M, Helgesen, P I, Kober, T, Summerton, P, Merven, B, Selosse, S, Karlsson, K, Strachan, N & Gallachóir, B Ó 2015, Economic Impacts of Future Changes in the Energy System : National Perspectives . in Informing Energy and Climate Policies Using Energy Systems Models . Springer, Lecture Notes in Energy, vol. 30, pp. 359-387 . https://doi.org/10.1007/978-3-319-16540-0_20
DOI: 10.1007/978-3-319-16540-0_20⟩
Popis: International audience; In a climate constrained future, hybrid energy-economy model coupling gives additional insight into interregional competition, trade, industrial delocalisation and overall macroeconomic consequences of decarbonising the energy system. Decarbonising the energy system is critical in mitigating climate change. This chapter summarises modelling methodologies developed in the ETSAP community to assess economic impacts of decarbonising energy systems at a national level. The preceding chapter focuses on a global perspective. The modelling studies outlined here show that burden sharing rules and national revenue recycling schemes for carbon tax are critical for the long-term viability of economic growth and equitable engagement on combating climate change. Traditional computable general equilibrium models and energy systems models solved in isolation can misrepresent the long run carbon cost and underestimate the demand response caused by technological paradigm shifts in a decarbonised energy system. The approaches outlined within have guided the first evidence based decarbonisation legislation and continue to provide additional insights as increased sectoral disaggregation in hybrid modelling approaches is achieved.
Databáze: OpenAIRE