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Applied energy v.189, 2017년, pp.89 - 109   SCI SCIE
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

Investment appraisal of cost-optimal and near-optimal pathways for the UK electricity sector transition to 2050

Li, Francis G.N. (University College London, UCL Energy Institute, Central House, 14 Upper Woburn Place, London WC1H 0NN, United Kingdom ) ; Trutnevyte, Evelina (University College London, UCL Energy Institute, Central House, 14 Upper Woburn Place, London WC1H 0NN, United Kingdom ) ;
  • 초록  

    Abstract Deep decarbonisation of the electricity sector is central to achieving the United Kingdom’s (UK) climate policy targets for 2050 and meeting its international commitments under the Paris Agreement. While the overall strategy for decarbonising the energy system has been well established in previous studies, there remain deep uncertainties around the total investment cost requirements for the power system. The future of the power system is of critical importance because low carbon electricity may create significant opportunities for emissions reduction in buildings and transport. A key policy application of quantitative analysis using models is to explore how much investment needs to be mobilised for the energy transition. However, past estimates of energy transition costs for the UK power sector have focused only on 2030 rather than 2050 and consider a relatively narrow range of uncertainties. This paper addresses this important research gap. The UK government's main whole system energy economy model is linked to a power system model that employs an advanced approach to uncertainty analysis, combining Monte Carlo simulation with Modelling-to-Generate Alternatives (MGA), producing 800 different scenario pathways. These pathways simultaneously consider uncertainties in policy, technology and costs. The results show that with No Climate Policy , installed generation capacities in 2050 are found in the range 60–75GW, while under an 80% Reduction in GHG Emissions , between 100GW and 130GW of plant are required. Meeting climate targets for 2050 is also found to increase the investment requirements for new electricity generation. The interquartile range for cumulative investments in new generation under the No Climate Policy scenario ranges from £60bn to £75bn, while under an 80% Reduction in GHG Emissions , investment requirements approximately double to £110bn - £140bn. The exercise demonstrates the importance of uncertainty analysis to policy evaluation, yielding insights for future research practice both in the UK and internationally. Highlights 800 future transition pathways for the UK power sector explored under uncertainty. Analysis combines Monte Carlo simulation and Modelling-to-Generate-Alternatives (MGA). Many technologically diverse pathways are found to incur similar overall costs. Meeting climate targets may require an additional 25–70GW of power capacity. Achieving climate targets may require additional investments of £35bn–£80bn.


  • 주제어

    Uncertainty analysis .   Energy transitions .   Electricity .   Investment appraisal .   Modelling to generate alternatives .   Decarbonization.  

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