Space and time: Wind in an investment planning model
AbstractInvestment 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 InfoArticle provided by Elsevier in its journal Energy Economics.
Volume (Year): 30 (2008)
Issue (Month): 4 (July)
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Web page: http://www.elsevier.com/locate/eneco
Other versions of this item:
- Neuhoff, K. & Ehrenmann, A. & Butler, L. & Cust, J. & Hoexter, H. & Keats, K. & Kreczko,A. & Sinden, G., 2006. "Space and Time: Wind in an Investment Planning Model," Cambridge Working Papers in Economics 0620, Faculty of Economics, University of Cambridge.
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- O21 - Economic Development, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- Gabszewicz, J.J. & Poddar, S., .
"Demand fluctuations and capacity utilization under duopoly,"
CORE Discussion Papers RP
-1269, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Jean J. Gabszewicz & Sougata Poddar, 1997. "Demand fluctuations and capacity utilization under duopoly," Economic Theory, Springer, vol. 10(1), pages 131-146.
- 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).
- Francis Bessière, 1970. "The "Investment '85" Model of Electricite de France," Management Science, INFORMS, vol. 17(4), pages B192-B211, December.
- 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.
- 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.
- Cardell, Judith B. & Hitt, Carrie Cullen & Hogan, William W., 1997. "Market power and strategic interaction in electricity networks," Resource and Energy Economics, Elsevier, vol. 19(1-2), pages 109-137, March.
- 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.
- 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.
- Stefan Ambec & Claude Crampes, 2010. "Electricity Production with Intermittent Sources of Energy," LERNA Working Papers 10.07.313, LERNA, University of Toulouse.
- Lion Hirth, 2012.
"The Market Value of Variable Renewables,"
2012.15, Fondazione Eni Enrico Mattei.
- 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.
- 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.
- Neuhoff, K., 2009. "Implementing the EU Renewables Directive," Cambridge Working Papers in Economics 0913, Faculty of Economics, University of Cambridge.
- 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.
- 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.
- 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.
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