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Modelling the UK residential energy sector under long-term decarbonisation scenarios: Comparison between energy systems and sectoral modelling approaches

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  • Kannan, Ramachandran
  • Strachan, Neil

Abstract

The UK government has set a groundbreaking target of a 60% reduction in carbon dioxide (CO2) emissions by 2050. Scenario and modelling assessment of this stringent target consistently finds that all sectors need to contribute to emissions reductions. The UK residential sector accounts for around 30% of the total final energy use and more than one-quarter of CO2 emissions. This paper focuses on modelling of the residential sector in a system wide energy-economy models (UK MARKAL) and key UK sectoral housing stock models. The UK residential energy demand and CO2 emission from the both approaches are compared. In an energy system with 60% economy-wide CO2 reductions, the residential sector plays a commensurate role. Energy systems analysis finds this reduction is primarily driven by energy systems interactions notably decarbonisation of the power sector combined with increased appliance efficiency. The stock models find alternate decarbonisation pathways based on assumptions related to the future building stock and behavioural changes. The paper concludes with a discussion on the assumptions and drivers of emission reductions in different models of the residential energy sector.

Suggested Citation

  • Kannan, Ramachandran & Strachan, Neil, 2009. "Modelling the UK residential energy sector under long-term decarbonisation scenarios: Comparison between energy systems and sectoral modelling approaches," Applied Energy, Elsevier, vol. 86(4), pages 416-428, April.
    • Handle: RePEc:eee:appene:v:86:y:2009:i:4:p:416-428
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    References listed on IDEAS

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    1. Strachan, Neil & Kannan, Ramachandran, 2008. "Hybrid modelling of long-term carbon reduction scenarios for the UK," Energy Economics, Elsevier, vol. 30(6), pages 2947-2963, November.
    2. Natarajan, Sukumar & Levermore, Geoffrey J., 2007. "Predicting future UK housing stock and carbon emissions," Energy Policy, Elsevier, vol. 35(11), pages 5719-5727, November.
    3. Johnston, D. & Lowe, R. & Bell, M., 2005. "An exploration of the technical feasibility of achieving CO2 emission reductions in excess of 60% within the UK housing stock by the year 2050," Energy Policy, Elsevier, vol. 33(13), pages 1643-1659, September.
    4. Amstalden, Roger W. & Kost, Michael & Nathani, Carsten & Imboden, Dieter M., 2007. "Economic potential of energy-efficient retrofitting in the Swiss residential building sector: The effects of policy instruments and energy price expectations," Energy Policy, Elsevier, vol. 35(3), pages 1819-1829, March.
    5. Natarajan, Sukumar & Levermore, Geoffrey J., 2007. "Domestic futures--Which way to a low-carbon housing stock?," Energy Policy, Elsevier, vol. 35(11), pages 5728-5736, November.
    6. Siller, Thomas & Kost, Michael & Imboden, Dieter, 2007. "Long-term energy savings and greenhouse gas emission reductions in the Swiss residential sector," Energy Policy, Elsevier, vol. 35(1), pages 529-539, January.
    7. Shorrock, LD & Dunster, JE, 1997. "The physically-based model BREHOMES and its use in deriving scenarios for the energy use and carbon dioxide emissions of the UK housing stock," Energy Policy, Elsevier, vol. 25(12), pages 1027-1037, October.
    8. Odenberger, M. & Johnsson, F., 2007. "Achieving 60% CO2 reductions within the UK energy system--Implications for the electricity generation sector," Energy Policy, Elsevier, vol. 35(4), pages 2433-2452, April.
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