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Space and time: Wind in an investment planning model

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  • Neuhoff, Karsten
  • Ehrenmann, Andreas
  • Butler, Lucy
  • Cust, Jim
  • Hoexter, Harriet
  • Keats, Kim
  • Kreczko, Adam
  • Sinden, Graham

Abstract

Investment planning models inform investment decisions and government policies. Current models do not capture the intermittent nature of renewable energy sources, restricting the applicability of the models for high penetrations of renewables. We provide a methodology to capture spatial variation in wind output in combination with transmission constraints. The representation of wind distributions using stochastic approaches or using extensive historic data sets exceeds computational constraints for real world application. Hence we restrict the amount of input data, and use bootstrapping to illustrate the robustness of the results. For the UK power system we model wind deployment and the value of transmission capacity.

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Bibliographic Info

Article provided by Elsevier in its journal Energy Economics.

Volume (Year): 30 (2008)
Issue (Month): 4 (July)
Pages: 1990-2008

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Handle: RePEc:eee:eneeco:v:30:y:2008:i:4:p:1990-2008

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References

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  1. GABSZEWICZ, Jean J. & PODDAR , Sougata, 1995. "Demand Fluctuations and Capacity Utilization under Duopoly," CORE Discussion Papers 1995051, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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  3. Wu, Felix, et al, 1996. "Folk Theorems on Transmission Access: Proofs and Counterexamples," Journal of Regulatory Economics, Springer, vol. 10(1), pages 5-23, July.
  4. DeCarolis, Joseph F. & Keith, David W., 2006. "The economics of large-scale wind power in a carbon constrained world," Energy Policy, Elsevier, vol. 34(4), pages 395-410, March.
  5. Francis Bessière, 1970. "The "Investment '85" Model of Electricite de France," Management Science, INFORMS, vol. 17(4), pages B192-B211, December.
  6. Neuhoff, K. & Cust, J. & Keats, K, 2007. "Implications of intermittency and transmission constraints for renewables deployment," Cambridge Working Papers in Economics 0711, Faculty of Economics, University of Cambridge.
  7. Keats, K. Martinez & Neuhoff, K., 2004. "Allocation of Carbon Emission Certificates in the Power Sector: How generators profit from grandfathered rights," Cambridge Working Papers in Economics 0444, Faculty of Economics, University of Cambridge.
  8. MURPHY, Frederic & SMEERS, Yves, 2002. "Generation capacity expansion in imperfectly competitive restructured electricity markets," CORE Discussion Papers 2002069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  9. Kahn, Edward P., 2004. "Effective Load Carrying Capability of Wind Generation: Initial Results with Public Data," The Electricity Journal, Elsevier, vol. 17(10), pages 85-95, December.
  10. Coulomb, L. & Neuhoff, K., 2006. "Learning curves and changing product attributes: the case of wind turbines," Cambridge Working Papers in Economics 0618, Faculty of Economics, University of Cambridge.
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Cited by:
  1. Stefan Ambec & Claude Crampes, 2010. "Electricity Production with Intermittent Sources of Energy," LERNA Working Papers 10.07.313, LERNA, University of Toulouse.
  2. Neuhoff, K., 2009. "Implementing the EU Renewables Directive," Cambridge Working Papers in Economics 0913, Faculty of Economics, University of Cambridge.
  3. Lion Hirth, 2012. "The Market Value of Variable Renewables," Working Papers 2012.15, Fondazione Eni Enrico Mattei.
  4. Fürsch, Michaela & Hagspiel, Simeon & Jägemann, Cosima & Nagl, Stephan & Lindenberger, Dietmar & Tröster, Eckehard, 2012. "The role of grid extensions in a cost-efficient transformation of the European electricity system until 2050," EWI Working Papers 2012-4, Energiewirtschaftliches Institut an der Universitaet zu Koeln.
  5. Lion Hirth, 2013. "The Optimal Share of Variable Renewables. How the Variability of Wind and Solar Power Affects their Welfare-optimal Deployment," Working Papers 2013.90, Fondazione Eni Enrico Mattei.
  6. Nagl, Stephan & Fürsch, Michaela & Lindenberger, Dietmar, 2012. "The costs of electricity systems with a high share of fluctuating renewables - a stochastic investment and dispatch optimization model for Europe," EWI Working Papers 2012-1, Energiewirtschaftliches Institut an der Universitaet zu Koeln.
  7. Bergek, Anna & Mignon, Ingrid & Sundberg, Gunnel, 2013. "Who invests in renewable electricity production? Empirical evidence and suggestions for further research," Energy Policy, Elsevier, vol. 56(C), pages 568-581.
  8. Leuthold, Florian & Weigt, Hannes & von Hirschhausen, Christian, 2008. "Efficient pricing for European electricity networks - The theory of nodal pricing applied to feeding-in wind in Germany," Utilities Policy, Elsevier, vol. 16(4), pages 284-291, December.
  9. Spiecker, Stephan & Weber, Christoph, 2014. "The future of the European electricity system and the impact of fluctuating renewable energy – A scenario analysis," Energy Policy, Elsevier, vol. 65(C), pages 185-197.
  10. Brancucci Martínez-Anido, C. & Vandenbergh, M. & de Vries, L. & Alecu, C. & Purvins, A. & Fulli, G. & Huld, T., 2013. "Medium-term demand for European cross-border electricity transmission capacity," Energy Policy, Elsevier, vol. 61(C), pages 207-222.
  11. Ambec, Stefan & Crampes, Claude, 2012. "Electricity provision with intermittent sources of energy," Resource and Energy Economics, Elsevier, vol. 34(3), pages 319-336.

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