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Assessing the Future of Renewable and Smart Grid Technologies in Regional Energy Systems

Summary

In this paper we present the regional techno-economic model ETEM, designed for the analysis of regional energy/environment systems and we show how it can be used to explore the possible penetration of new technologies in a region corresponding roughly to the canton of Geneva. We investigate three scenarios with different constraints on CO2 emissions and electricity imports and show the essential role played by new technologies, linked through a smart grid, in the effort toward a sustainable energy system. We strengthen our conclusion with a stochastic approach dealing with uncertainty in future electricity prices and electric car technology penetration.

References

  • Acha, S., T. Green, and N. Shah (2010a), “Effects of Optimised Plug-In Hybrid Vehicle Charging Strategies on Electric Distribution Network Losses”, in IEEE PES Transmission and Distribution Conference and Exposition, New Orleans, USA.

    Google Scholar 

  • Acha, S., T. Green, and N. Shah (2010b), “Techno-Economical Tradeoffs from Embedded Technologies with Storage Capabilities on Electric and Gas Distribution Networks”, in IEEE Power and Energy Society General Meeting, Minneapolis, MN, USA.

    Google Scholar 

  • Berger, C., R. Dubois, A. Haurie, E. Lessard, and R. Loulou (1990), “Assessing the Dividends of Power Exchange between Québec and New York State: A Systems Analysis Approach”, International Journal of Energy Research, 14, pp. 253–273.

    Article  Google Scholar 

  • Brown, James E., Chris N. Hendry, and Paul Harborne (2007), “An Emerging Market in Fuel Cells? Residential Combined Heat and Power in four Countries”, Energy Policy, 35(4), pp. 2173–2186, URL http://dx.doi.org/10.10l6/j.enpol.2006.07.002.

    Article  Google Scholar 

  • Caratti, P., A. Haurie, D. Pinelli, and D. S. Zachary (2003), “Exploring the Fuel Cell Car Future: An Integrated Energy Model at the City Level”, in Urban Transport IX, Proceedings Urban Transport 2003, Ninth International Conference on Urban Transport and the Environment in the 21st Century, 10–12 March 2003 Crete, Greece, L. J. Sucharov and C. A. Brebbia, eds., Southampton: WIT Press.

  • Carlson, D., A. Haurie, J.-P. Vial, and D. S. Zachary (2004), “Large Scale Convex Optimization Methods for Air Quality Policy”, Automatica, pp. 385–395.

    Google Scholar 

  • Drouet, L. and J. Thénié (2009), “An Energy-Technology-Environment Model to Assess Urban Sustainable Development Policies — Reference Manual v.2.1”, Tech. rep., Ordecsys.

  • Dubois, A., J. Thénié, and J.-Ph. Vial (2005), “Stochastic Programming: The det2sto Tool”, Tech. rep., Logilab, HEC, University of Geneva and Ordecsys, URL http://www.ordecsys.com/det2sto.

  • Fourer, R., D. M. Gay, and B. W. Kernighan (1993), AMPL: A Modeling Language for Mathematical Programming, Duxbury Press, Brooks, Cole Publishing Company.

  • Fragnière, E. (1995), Choix énergétiques et environnementaux pour le canton de Genève, Thesis no 412, Faculté des Sciences Economiques et Sociales, Université de Genève, Genève.

  • Galus, M. D. and G. Andersson (2008), “Demand Management of Grid Connected Plug-In Hybrid Electric Vehicles (PHEV)”, in IEEE Energy 2030 Conference.

  • Hawkes, A.D. and M.A. Leach (2007), “Cost-Effective Operating Strategy for Residential Micro-Combined Heat and Power”, Energy, 32(5), pp. 711–723, URL http://dx.doi.org/10.10l6/j.energy.2006.06.001.

  • Hill, D. (1996), The Baked Apple? Metropolitan New York in the Greenhouse, vol. 790, Annals of The New York Academy of Sciences.

  • Hirschberg, S., A. Wokaun, and C. Bauer (2005), “Outlook for CO2-Free Electricity in Switzerland, New Renewable Energy Sources”, Energie Spiegel 14, PSI Paul Scherrer Institute.

  • Howells, M., H. Rogner, N. Strachan, C. Heaps, H. Huntington, S. Kypreos, A. Hughes, S. Silveira, J. DeCarolis, M. Bazillian, and A. Roehrl (2011), “Osemosys: The Open Source Energy Modeling System: An Introduction to Its Ethos, Structure and Development”, Energy Policy.

  • Huang, Xinhong, Zhihao Zhang, and Jin Jiang (2006), “Fuel Cell Technology for Distributed Generation: An Overview”, in Industrial Electronics, 2006 IEEE International Symposium on, vol. 2, pp. 1613–1618, URL http://dx.doi.org/10.1109/ISIE.2006.295713.

    Article  Google Scholar 

  • IEA (2011a), “Energy Prices and Taxes, Second Quarter, 2011”, IEA Energy Papers, OECD, International Energy Agency.

  • IEA (2011b), “World Energy Outlook”, IEA Energy Papers, OECD, International Energy Agency.

  • Kempton, Willett, and Jasna Tomic (2005), “Vehicle-to-Grid Power Fundamentals: Calculating Capacity and Net Revenue”, Journal of Power Sources, 144(1), pp. 268–279, URL http://dx.doi.org/10.10l6/j.jpowsour.2004.12.025.

    Article  Google Scholar 

  • Loulou, R., A. Kanudia, and D. Lavigne (1996), “GHG Abatement in Central Canada with Inter-Provincial Cooperation”, Energy Studies Review, 8(2), pp. 120–129.

    Google Scholar 

  • Marnay, C., G. Venkataramanan, M. Stadler, A. Siddiqui, R. Firestone, and B. Chandran (2008), “Optimal Technology Selection and Operation of Commercial-Building Microgrids”, IEEE Transactions on Power Systems, 23(3), pp. 975–982.

    Article  Google Scholar 

  • Neef, H.-J. (2009), “International Overview of Hydrogen and Fuel Cell Research”, Energy, 34(3), pp. 327–333, URL http://dx.doi.org/10.10l6/j.energy.2008.08.014, WESC 2006 6th World Energy System Conference Advances in Energy Studies 5th workshop on Advances, Innovation and Visions in Energy and Energy-related Environmental and Socio-Economic Issues.

    Article  Google Scholar 

  • OFSTAT-GE (2005–2010), «Annuaire statistique du canton de Genève».

  • Shin-ichi, I. (2010), “Modelling Load Shifting Using Electric Vehicles in a Smart Grid Environment”, IEA Energy Papers 7, OECD, International Energy Agency.

  • Streckiene, G., V. Martinaitis, A. N. Andersen, and J. Katz (2009), “Feasibility of CHP-Plants with Thermal Stores in the German Spot Market”, Applied Energy, 86(11), pp. 2308–2316.

    Article  Google Scholar 

  • Sundberg, J., P. Gipperth, and C.-O. Wene (1994), “A Systems Approach to Municipal Solid Waste Management: A Pilot Study of Göteborg”, Waste Management and Research, 12(1), p. 73.

    Google Scholar 

  • Thénié, J., Ch. van Delft, and J.-Ph. Vial (2007), “Automatic Formulation of Stochastic Programs via an Algebraic Modeling Language”, Computational Management Science, 4, pp. 17–40.

    Article  Google Scholar 

  • Weidmann, N., R. Kannan, and H. Turton (2012), “Swiss Climate Change and Nuclear Policy: A Comparative Analysis Using an Energy System Approach and a Sectoral Electricity Model”, This issue.

  • Wene, C.-O. and B. Rydén (1988), “A Comprehensive Energy Model in the Municipal Energy Planning Process”, European Journal of Operational Research, 33(2), pp. 212–222.

    Article  Google Scholar 

  • Zachary, D. S., L. Drouet, U-Leopold, and L. Aleluia Reis (2011), “Trade-Offs between Energy Cost and Health Impact in a Regional Coupled Energy-Air Quality Model: The LEAQ model”, Environmental Research Letters, 6.

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This research has been supported by the GICC programme of the French Ministry MEDDEM, by the EUFP7-ERMITAGE research project, by the project RITES, financed by the Federal Office for Energy, Bern, Switzerland and by the Swiss-NSF-NCCR climate grant.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Babonneau, F., Haurie, A., Tarel, G.J. et al. Assessing the Future of Renewable and Smart Grid Technologies in Regional Energy Systems. Swiss J Economics Statistics 148, 229–273 (2012). https://doi.org/10.1007/BF03399367

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