Abstract
This study demonstrates a cost-optimal transition towards a carbon neutral energy system in Scandinavia (Denmark, Norway and Sweden) in 2050 with no import of biofuels and no use of CO2 storage. The Scandinavian electricity sector is already highly renewable and carbon neutrality requires extensive changes in other parts of the energy system, including the building, transport and industry sectors. The analysis is done with a stochastic TIMES model that considers the short-term uncertainty of renewable electricity generation and heat demand. In this study, a simplified deterministic approach gives significantly lower investments in wind power, PV and low-efficient electricity based heating in buildings compared to the stochastic analysis. This implies that an appropriate representation of short-term uncertainty is an important premise to provide reasonable policy recommendations from energy system models. Moreover, carbon neutrality requires significant decarbonization of the end-use sectors, especially the transport sector. Hydrogen is the dominant fuel used in the transport sector, and it is cost-optimal to invest in both inflexible hydrogen production and more capital intensive flexible hydrogen production. The results emphasise the importance of considering the entire energy system when designing policy to reach carbon neutrality. This is because the required investments in electricity capacity depend on the degree of electrification, and the future electricity consumption depends on the availability and competiveness of biofuels.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Danish Energy Agency (2017a) Basisfremskrivning 2017. Available at https://ens.dk/sites/ens.dk/files/Forsyning/bf2017_hovedpublikation_13_mar_final.pdf
Danish Energy Agency. (2017b) Dansk klimapolitik (Danish Climate Policy). Available at https://ens.dk/ansvarsomraader/energi-klimapolitik/fakta-om-dansk-energi-klimapolitik/dansk-klimapolitik
Eurostat (2017) Environment and energy. Available at http://ec.europa.eu/eurostat/data/database
Higle LJ (2005) Stochastic programming: optimization when uncertainty matters. Tutorials in Operational Research, New Orleans, INFORMS
IEA (2012) Energy technology perspectives 2012: pathways to a clean energy system. France, Paris
IEA (2013) Nordic energy technology perspectives: pathways to a carbon neutral energy future. Paris, France, IEA and Nordic Energy Research. Available at http://www.iea.org/media/etp/nordic/NETP.pdf
IEA (2016) Nordic energy technology perspectives 2016—cities, flexibility and pathways to carbon-neutrality. IEA and Nordic Energy Research, Paris, France
Kall, P, Wallace SW (1994) Stochastic programming. John Wiley & Sons, Chichester
Lind A, Rosenberg E (2013) TIMES-Norway model documentation. Kjeller, Norway, Institute for Energy Technology
Loulou R (2008) ETSAP-TIAM: the TIMES integrated assessment model. part II: mathematical formulation. CMS 5(1–2):41–66
Loulou R, Labriet M (2008) ETSAP-TIAM: the TIMES integrated assessment model Part I: model structure. CMS 5(1–2):7–40
Loulou R, Lehtila A, Kanudia A, Remme U, Goldstein G (2005a) Documentation for the TIMES model—part III. Energy technology systems analysis programme. Available at http://iea-etsap.org/docs/TIMESDoc-GAMS.pdf
Loulou R, Remme U, Kanudia A, Lehtila A, Goldstein G (2005b) Documentation for the TIMES model—Part I. Energy technology systems analysis programme. Available at http://iea-etsap.org/docs/TIMESDoc-Details.pdf
Loulou R, Remme U, Kanudia A, Lehtila A, Goldstein G (2005c) Documentation for the TIMES Model—Part II. Energy technology systems analysis programme. Available at http://iea-etsap.org/docs/TIMESDoc-Details.pdf
NVE (2015) Kostnader i energisektoren. Kraft, varme og effektivisering. The norwegian water resources and energy directorate. Oslo, Norway. Available at http://publikasjoner.nve.no/rapport/2015/rapport2015_02a.pdf
Rosenberg E, K. A. Espegren (2014) CenSES energiframskrivinger mot 2050. Available at https://www.ife.no/no/publications/2014/ensys/censes-energiframskrivinger-mot-2050
Seljom P, Lindberg KB, Tomasgard A, Doorman G, Sartori I (2017) The impact of zero energy buildings on the scandinavian energy system. Energy 118(Supplement C): 284–296
Seljom P, Tomasgard A (2015) Short-term uncertainty in long-term energy system models—A case study of wind power in Denmark. Energy Econ 49(Supplement C): 157–167
Seljom P, Tomasgard A (2017) The impact of policy actions and future energy prices on the cost-optimal development of the energy system in Norway and Sweden. Energy Policy 106(Supplement C): 85–102
Swedish Energy Agency (2012) Färdplan 2050. Available at http://www.energimyndigheten.se/Global/F%C3%A4rdplan%202050%20Bost%C3%A4der%20och%20lokaler.pdf
Swedish Energy Agency (2013) LÃ¥ngtidsprognos 2012. Available at http://www.energimyndigheten.se/Global/Statistik/Prognoser/L%C3%A5ngsiktsprognos%202012.pdf
The Government of Sweden (2017) The climate policy framework. Available at http://www.government.se/articles/2017/06/the-climate-policy-framework/
The Norwegian Ministry of Climate and Environment (2017) Climate Act (Klimaloven), Prop. 77 L (2016–2017). Available at https://www.regjeringen.no/no/dokumenter/prop.-77-l-20162017/id2546463/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Seljom, P., Rosenberg, E. (2018). A Scandinavian Transition Towards a Carbon-Neutral Energy System. In: Giannakidis, G., Karlsson, K., Labriet, M., Gallachóir, B. (eds) Limiting Global Warming to Well Below 2 °C: Energy System Modelling and Policy Development. Lecture Notes in Energy, vol 64. Springer, Cham. https://doi.org/10.1007/978-3-319-74424-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-74424-7_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74423-0
Online ISBN: 978-3-319-74424-7
eBook Packages: EnergyEnergy (R0)