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Towards a low-carbon economy: scenarios and policies for the UK

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  • PAUL EKINS
  • GABRIAL ANANDARAJAH
  • NEIL STRACHAN

Abstract

This article analyses the implications of long-term low-carbon scenarios for the UK, and against these it assesses both the current status and the required scope of the UK energy policy. The scenarios are generated using the well-established MARKAL (acronym for MARKet ALlocation) UK energy systems model, which has already been extensively used for UK policy analysis and support. The scenarios incorporate different levels of ambition for carbon reduction, ranging from 40% to 90% cuts from 1990's level by the year 2050, to shed insights into the options for achieving the UK's current legally binding target of an 80% cut by the same date. The scenarios achieve their carbon reductions through very different combinations of demand reduction (implying behaviour change) and implementation of low-carbon and energy efficiency technologies on both the supply and demand sides. In all cases, however, the costs of achieving the reductions are relatively modest. The ensuing policy analysis suggests that while the cuts are feasible both technically and economically and while a number of new policies have been introduced in order to achieve them, it is not yet clear whether these policies will deliver the required combination of both short- and long-term technology deployment, and behaviour change for the UK Government's targets to be achieved.

Suggested Citation

  • Paul Ekins & Gabrial Anandarajah & Neil Strachan, 2011. "Towards a low-carbon economy: scenarios and policies for the UK," Climate Policy, Taylor & Francis Journals, vol. 11(2), pages 865-882, March.
  • Handle: RePEc:taf:tcpoxx:v:11:y:2011:i:2:p:865-882
    DOI: 10.3763/cpol.2010.0126
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    1. René Kemp, 1997. "Environmental Policy and Technical Change," Books, Edward Elgar Publishing, number 1187.
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    Cited by:

    1. Pye, Steve & Sabio, Nagore & Strachan, Neil, 2015. "An integrated systematic analysis of uncertainties in UK energy transition pathways," Energy Policy, Elsevier, vol. 87(C), pages 673-684.
    2. Li, Francis G.N. & Trutnevyte, Evelina, 2017. "Investment appraisal of cost-optimal and near-optimal pathways for the UK electricity sector transition to 2050," Applied Energy, Elsevier, vol. 189(C), pages 89-109.
    3. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
    4. Bale, Catherine S.E. & Varga, Liz & Foxon, Timothy J., 2015. "Energy and complexity: New ways forward," Applied Energy, Elsevier, vol. 138(C), pages 150-159.
    5. Vaillancourt, Kathleen & Bahn, Olivier & Frenette, Erik & Sigvaldason, Oskar, 2017. "Exploring deep decarbonization pathways to 2050 for Canada using an optimization energy model framework," Applied Energy, Elsevier, vol. 195(C), pages 774-785.
    6. Borasio, M. & Moret, S., 2022. "Deep decarbonisation of regional energy systems: A novel modelling approach and its application to the Italian energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    7. Fais, Birgit & Sabio, Nagore & Strachan, Neil, 2016. "The critical role of the industrial sector in reaching long-term emission reduction, energy efficiency and renewable targets," Applied Energy, Elsevier, vol. 162(C), pages 699-712.
    8. González, Rosa Marina & Marrero, Gustavo A. & Rodríguez-López, Jesús & Marrero, Ángel S., 2019. "Analyzing CO2 emissions from passenger cars in Europe: A dynamic panel data approach," Energy Policy, Elsevier, vol. 129(C), pages 1271-1281.
    9. Hannan, M.A. & Faisal, M. & Jern Ker, Pin & Begum, R.A. & Dong, Z.Y. & Zhang, C., 2020. "Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    10. Ma, Ning & Li, Huajiao & Zhang, Jinwei & Han, Xiaodan & Feng, Sida & Arif, Asma, 2021. "The short-term price effects and transmission mechanism of CO2 cost pass-through in China: A partial transmission model," Resources Policy, Elsevier, vol. 70(C).
    11. Allen, Patricia & Chatterton, Tim, 2013. "Carbon reduction scenarios for 2050: An explorative analysis of public preferences," Energy Policy, Elsevier, vol. 63(C), pages 796-808.
    12. Trutnevyte, Evelina & Strachan, Neil & Dodds, Paul E. & Pudjianto, Danny & Strbac, Goran, 2015. "Synergies and trade-offs between governance and costs in electricity system transition," Energy Policy, Elsevier, vol. 85(C), pages 170-181.
    13. McGlade, Christophe & Pye, Steve & Ekins, Paul & Bradshaw, Michael & Watson, Jim, 2018. "The future role of natural gas in the UK: A bridge to nowhere?," Energy Policy, Elsevier, vol. 113(C), pages 454-465.
    14. Diesendorf, Mark & Elliston, Ben, 2018. "The feasibility of 100% renewable electricity systems: A response to critics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 318-330.
    15. Barazza, Elsa & Strachan, Neil, 2020. "The impact of heterogeneous market players with bounded-rationality on the electricity sector low-carbon transition," Energy Policy, Elsevier, vol. 138(C).
    16. Vaillancourt, Kathleen & Bahn, Olivier & Roy, Pierre-Olivier & Patreau, Valérie, 2018. "Is there a future for new hydrocarbon projects in a decarbonizing energy system? A case study for Quebec (Canada)," Applied Energy, Elsevier, vol. 218(C), pages 114-130.
    17. Trutnevyte, Evelina & Barton, John & O'Grady, Áine & Ogunkunle, Damiete & Pudjianto, Danny & Robertson, Elizabeth, 2014. "Linking a storyline with multiple models: A cross-scale study of the UK power system transition," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 26-42.
    18. Sithole, H. & Cockerill, T.T. & Hughes, K.J. & Ingham, D.B. & Ma, L. & Porter, R.T.J. & Pourkashanian, M., 2016. "Developing an optimal electricity generation mix for the UK 2050 future," Energy, Elsevier, vol. 100(C), pages 363-373.
    19. Roberts, Simon H. & Foran, Barney D. & Axon, Colin J. & Warr, Benjamin S. & Goddard, Nigel H., 2018. "Consequences of selecting technology pathways on cumulative carbon dioxide emissions for the United Kingdom," Applied Energy, Elsevier, vol. 228(C), pages 409-425.
    20. Anandarajah, Gabrial & McDowall, Will, 2012. "What are the costs of Scotland's climate and renewable policies?," Energy Policy, Elsevier, vol. 50(C), pages 773-783.
    21. Li, Francis G.N. & Trutnevyte, Evelina & Strachan, Neil, 2015. "A review of socio-technical energy transition (STET) models," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 290-305.
    22. Plazas-Niño, F.A. & Ortiz-Pimiento, N.R. & Montes-Páez, E.G., 2022. "National energy system optimization modelling for decarbonization pathways analysis: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    23. McDowall, Will & Anandarajah, Gabrial & Dodds, Paul E. & Tomei, Julia, 2012. "Implications of sustainability constraints on UK bioenergy development: Assessing optimistic and precautionary approaches with UK MARKAL," Energy Policy, Elsevier, vol. 47(C), pages 424-436.

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