Introduction to Energy Systems Modelling

Swiss Journal of Economics and Statistics

Volumn 148, Issue 2, 2012, Pages 111-135

  Herbst, Andrea ^a   Toro, Felipe ^a   Reitze, Felix ^a   Jochem, Eberhard ^a  

^a NONE

Author keywords

bottom up; C63; energy modelling; hybrid energy system modelling; L61; Switzerland; top down

Indexed keywords

EID: 84885475514     PISSN: None     EISSN: 22356282     Source Type: Journal    
DOI: 10.1007/BF03399363     Document Type: Article

References (72)

1. Alexandridis, K. T., and B. C. Pijanowski (2006), “Modular Bayesian Inference and Learning of Decision Networks as Stand-Alone Mechanisms of the MABEL Model: Implications for Visualization, Comprehension, and Policy-Making”, Argonne National Laboratory and the University of Chicago.
2. Bahn, O., and C. Frei (2000), “GEM-E3 Switzerland: A Computable General Equilibrium Model applied for Switzerland”, Paul Scherrer Institut (PSI), General Energy Research Department (ENE), Villigen.
3. Bataille, C. G. F. (2005), “Design and Application of a Technologically Explicit Hybrid Energy-Economy Policy Model with Micro and Macro Economic Dynamics”, Thesis in the School of Resource and Environmental Management, Simon Fraser University.
4. Bernard, A., and M. Vielle (2008), “GEMINI-E3, A General Equilibrium Model of International-National Interactions between Economy, Energy and Environment”, Computational Management Science, 5(3), pp. 173–206. DOI: 10.1007/s10287-007-0047-y
5. BFE (Bundesamt für Energie) (2007), Die Energieperspektiven 2035 — Band 1 Synthese, Bern.
6. Böhringer, C. (1998), “The Synthesis of Bottom-Up and Top-Down in Energy Policy Modelling”, Energy Economics, 20, pp. 233–248. DOI: 10.1016/S0140-9883(97)00015-7
7. Böhringer, C., and A. Löschel (2006), “Promoting Renewable Energy in Europe: A Hybrid Computable General Equilibrium Approach”, Special Issue of the Energy Journal, Hybrid modeling of energy-environment policies: Reconciling bottom-up and top-down.
8. Böhringer, C., and T. Rutherford (2006), “Combining Top-Down and Bottom-Up Analysis in Energy Policy Analysis”, Technical Report Discussion paper 06-07, ZEW.
9. Böhringer, C., and T. Rutherford (2008), “Combining Bottom-Up and Top-Down”, Energy Economics, 30, pp. 574–596. DOI: 10.1016/j.eneco.2007.03.004
10. CAMECON (2011), Cambridge Econometrics, website: http://www.camecon.co.uk /ModellingTraining/suite_economic_models/E3ME.aspx.
11. Capros, P., et al. (1996a), “Double Dividend Analysis: First Results of a General Equilibrium Model (GEM-E3) Linking the EU-12 Countries”, in Environmental Fiscal Reform and Unemployment, C. Carraro and D. Siniscalco, eds., Kluwer Academic Publishers.
12. Capros, P., and P. Georgakopoulos (1996b), “Coordinated versus Uncoordinated European Carbon Tax Solutions Analysed with GEM-E3 Linking the EU-12 Countries”, in Economic Aspects of Environmental Policy, S. Proost, eds., Kluwer Academic Publishers.
13. Catenazzi, G. (2009), “Advances in Techno-Economic Energy Modeling: Costs, Dynamics and Hybrid Aspects”, Dissertation, Swiss Federal Institute of Technology (ETH), Zürich.
14. CES (2008), “The GEM-E3 Model. A General Equilibrium Model for Europe and the World”, Centre for Economic Studies, KULeuven, Belgium.
15. De Vries, B., M. Janssen, A. Beusen, et al. (1999), “Perspectives on Global Energy Futures: Simulations with the TIME Model”, Energy Policy, 27, pp, 477–494. DOI: 10.1016/S0301-4215(99)00035-X
16. E3Mlab (2007), “The Primes Model: Version Used for the 2007 Scenarios for the European Commission including new Sub-Models Recently Added”, website: http://www.e3mlab.ntua.gr/DEFAULT.HTM.
17. Enerdata (2011), Enerdata global energy intelligence, website: http://www.enerdata.net/enerdatauk/solutions/energy-models/poles-model.php.
18. ETSAP (2001), ETSAP, website: http://www.etsap.org /markal/main.html.
19. ETSAP (2005), “Documentation for the TIMES Model: Part 1”, April 2005, website: http://www.etsap.org /tools.html.
20. Eurostat (2008), “Eurostat Manual of Supply, Use and Input-Output Tables”, Methodologies and Workingpapers, 2008 edition, Luxembourg.
21. EWI (2011), Energiewirtschaftliches Institut an der Universität zu Köln, website: http://www.ewi.uni-koeln.de/Elektrizitaetsmodell.154.0.html.
22. Fichtner, W., D. Möst, M. Wietschel, C. Weinhardt, and O. Rentz (2003), „Zur strategischen Planung bei Energieversorgern in liberalisierten Energiemärkten“, WiSt- Wirtschaftswissenschaftliches Studium, 32 (12), pp. 707–713. DOI: 10.15358/0340-1650-2003-12-707
23. FSO (2010), Federal Statistical Office, website: http://www.bfs.admin.ch /bfs/portal/en/index.html.
24. Foley, J., et al. (2005), “Global Consequences of Land Use”, Science, 309, 570, DOI: 10.1126/science.1111772. DOI: 10.1126/science.1111772
25. Forrester, J. W. (1958), “Industrial Dynamics — A Major Breakthrough for Decision Makers”, Harvard Business Review, 36(4), pp. 37–66.
26. Forrester, J. W. (1962), Industrial Dynamics, 2nd edition, MIT Press, John Wiley & Sons, New York.
27. Forrester, J. W. (1971), World Dynamics, Wright-Allen Press, Cambridge MA.
28. Forrester, J. W. (1980), “System Dynamics — Future Opportunities”, in System Dynamics. TIMS Series in the Management Sciences, Augusto A. Legasto, Jay W. Forrester, and James M. Lyneis, eds., vol. 14, pp. 7–21, Amsterdam: North-Holland.
29. Genoese, M., F. Sensfuss, and D. Moest (2007), “Power Plant Investments under Different Emission Allocation Schemes”, Proceedings of the 9th IAEE European Conference on Energy Economics (10–12 June 2007), Florence, Italy.
30. Greene, W. H. (2003), Econometric Analysis, Fifth Edition, New York University, Pearson Education, New Jersey.
31. Heaps, C. (2002), “Global Scenario Group Futures”, SEI, technical notes, report 9.
32. Heemskerk, M., K. Wilson, and M. Pavao-Zuckerman (2003), “Conceptual models as tools for communication across disciplines”, Conservation Ecology, 7(3): 8. DOI: 10.5751/ES-00554-070308
33. Hourcade, J. C., et al. (2006), “Hybrid Modeling: New Answers to Old Challenges”, The Energy Journal 2, Special issue (2006) pp. 1–12, C.I.R.E.D., Nogent-sur-Marne cedex.
34. IEA (2010), “World Energy Outlook 2010”, International Energy Agency, Paris Cedex, France.
35. IEA (2011), “World Energy Model — Methodology And Assumptions”, International Energy Agency, Paris Cedex, France.
36. Jochem, E., T. Barker, S. Scrieciu, W. Schade, N. Helfrich, O. Edenhofer, N. Bauer, S. Marchand, J. Neuhaus, S. Mima, P. Criqui, J. Morel, B. Chateau, A. Kitous, G. J. Nabuurs, M. J. Schelhaas, T. Groen, L. Riffeser, F. Reitze, E. Jochem, G. Catenazzi, M. Jakob, B. Aebischer, K. Kartsoni, W. Eichhammer, A. Held, M. Ragwitz, U. Reiter, S. Kypreos, and H. Turton (2007), “EU-Project ADAM: Adaption and Mitigation Strategies: Supporting European Climate Policy — Deliverable M1.1: Report of the Base Case Scenario for Europe and Full Description of the Model System”, Fraunhofer ISI, Karlsruhe, November 2007.
37. Jochem, E., T. Barker, S. Scrieciu, W. Schade, N. Helfrich, O. Edenhofer, N. Bauer, S. Marchand, J. Neuhaus, S. Mima, P. Criqui, J. Morel, B. Chateau, A. Kitous, G. J. Nabuurs, M. J. Schelhaas, T. Groen, L. Riffeser, F. Reitze, E. Jochem, G. Catenazzi, M. Jakob, B. Aebischer, K. Kartsoni, W. Eichhammer, A. Held, M. Ragwitz, U. Reiter, S. Kypreos, and H. Turton (2007) (2008), “EU-Project ADAM: Adaption and Mitigation Strategies: Supporting European Climate Policy — Deliverable M1.2: Report of the Reference Case Scenario for Europe”, Fraunhofer ISI, Karlsruhe, November 2008.
38. Jochem, P. (2009), “A CO2 Emission Trading Scheme for German Road Transport — Assessing the Impacts using a Meso Economic Model with Multi-Agent Attributes”, Nomos, Baden-Baden DOI: 10.5771/9783845219462
39. Krail, M., and W. Schade (2010), “The Potential of Alternative Fuel Cars for Achieving CO2 Reduction Targets in EU27”.
40. krause, F. (1996), “The Costs of Mitigating Carbon Emissions: A Review of Methods and Findings from European Studies”, Energy Policy Vol 24, no 10, p. 899–915. DOI: 10.1016/S0301-4215(96)80356-9
41. Kumbaroglu, G., and R. Madlener (2001), “A Description of the Hybrid Bottom-Up CGE Model SCREEN with an Application to Swiss Climate Policy Analysis”, CEPE Working Paper No. 10, Zürich.
42. Linares, P., F. J. Santos, M. Ventosa, and L. Lapiedra (2008), “Incorporating Oligopoly, CO2 Emissions Trading and Green Certificates into a Power Generation Expansion Model”, Automatica, vol. 44, no. 6, pp. 1608–1620. DOI: 10.1016/j.automatica.2008.03.006
43. Löschel, A. (2002), “Technological Change in Economic Models of Environmental Policy: A Survey”, Ecological Economics, 43, pp. 105–126. DOI: 10.1016/S0921-8009(02)00209-4
44. Loulou, R., G. Goldstein, and K. Noble (2004), “Documentation for the MARKAL Family of Models”, Energy Technology Systems Analysis Programme (ETSAP), website:www.etsap.org.
45. Manne, A, and R. G. Richels (1990), “CO2 Emission Limits: An Economic Cost Analysis for the USA”, The Energy Journal Vol. 11(2), pp. 51–74 DOI: 10.5547/ISSN0195-6574-EJ-Vol11-No2-3
46. Manne, A., and R. G. Richels (2004), “MERGE: A Model for Evaluating the Regional and Global Effects of GHG Reduction Policies”, website: www.standford.edu/group/MERGE.
47. Mayer, H. (2007), “Calculation and Analysis of a Hybrid Energy Input-Output Table for Germany within the Environmental-Economic Accounting (EEA)”, Paper presented at the 16th International Input-Output Conference 2–6 July 2007 Istanbul/Turkey, Statistisches Bundesamt, Wiesbaden.
48. Messner, S., and M. Strubegger (1995), “User’s Guide for MESSAGE III”, WP-95-69. International Institute for Applied Systems Analysis, Laxenburg, Austria.
49. Möst, D., and M. Genoese (2009), “Market Power in the German Wholesale Electricity Market”, The Journal of Energy Markets, 2 (2), pp. 47–74. DOI: 10.21314/JEM.2009.031
50. Mundaca, L., and L. Neij (2009), “A Multi-Criteria Evaluation Framework for ‘Tradable White Certificate’ Schemes”, Energy Policy, 37(11), pp. 4557–4573. DOI: 10.1016/j.enpol.2009.06.011
51. Nathani, C., M. Wickart, R. Oleschak, and R. van Nieuwkoop (2006), “Estimation of a Swiss Input-Output Table for 2001”, CEPE Report No. 6, Centre for Energy Policy and Economics (CEPE), Zürich.
52. Nathani, C. (2006), “Material Use and Induced Energy Demand: an Input-Output Analysis,”, ETH Zürich, Paper to be presented at the Intermediate International Input-Output Meeting on Sustainability, Trade and Productivity, Japan.
53. Prognos AG (2011), „Das Energiewirtschaftliche Gesamtkonzept. Konzept eines beschleunigten Ausstiegs aus der Kernenergie in Deutschland“, im Auftrag der Vereinigung der Bayerischen Wirtschaft e. V.
54. Russ, P., and P. Criqui (2007), “Post-Kyoto CO2 Emission Reduction: The Soft Landing Scenario Analysed with POLES and Other World Models”, IPTS and Grenoble University.
55. Schade, W. (2004), “Strategic Sustainability Analysis: Concept and Application for the Assessment of European Transport Policy”, Dissertation, NOMOS-Verlag, Baden-Baden.
56. Schade, W., and M. Krail (2006), Modeling and Calibration of Large Scale System Dynamics Models: The Case of the ASTRA Model.
57. Schade, W., E. Jochem, T. Barker, G. Catenazzi, W. Eichhammer, T. Fleiter, A. Held, N. Helfrich, M. Jakob, P. Criqui, S. Mima, L. Quandt, A. Peters, M. Ragwitz, U. Reiter, F. Reitze, M. Schelhaas, S. Scrieciu, and H. Turton (2009), “ADAM — 2 degree scenario for Europe — policies and impacts. Deliverable M1.3 of ADAM (Adaptation and Mitigation Strategies: Supporting European Climate Policy)”, Project funded by the European Commission 6th RDT Programme. Karlsruhe, Germany.
58. Seebregts, A. J., G. A. Goldstein, and K. E. Smekens (2002), “Energy/environmental modeling with the MARKAL family of models”, in Operations Research Proceedings 2001, Chamoni, R., Leisten, A., Martin, J., Minneman, Stadtler, H., eds., pp. 75–82, Duisburg, Germany. DOI: 10.1007/978-3-642-50282-8_10
59. Sensfuss, F. (2008), “Assessment of the Impact of Renewable Electricity Generation on the German Electricity Sector — An Agent-Based Simulation Approach”, Doctoral Thesis, University of Karlsruhe.
60. Sensfuss, F., M. Ragwitz, and M. Genoese (2008), “The Merit-Order Effect: A Detailed Analysis of the Price Effect of Renewable Electricity Generation on Spot Market Prices in Germany”, Energy Policy, 36 (8), pp. 3086–3094. DOI: 10.1016/j.enpol.2008.03.035
61. Tinter, G. (1953), “The Definition of Econometrics”, Econometrica, 21(1), pp. 31–40. DOI: 10.2307/1906941
62. nd Report of the Global Metal Flows working group of the International Panel of Sustainable Resource Management of UNEP.
63. United Nations (1999), “Handbook of Input-Output Table Compilation and Analysis”, Studies in Methods, Series F No. 74, UN, New York.
64. Ventosa, M., A. Baíllo, A. Ramos, and M. Rivier (2005), “Electricity Market Modeling Trends”, Energy Policy, 33(7), pp. 897–913. DOI: 10.1016/j.enpol.2003.10.013
65. Weidlich, A., and D. Veit (2008), “A Critical Survey of Agent-Based Wholesale Electricity Market Models”, Energy Economics, 30(4), pp. 1728–1759. DOI: 10.1016/j.eneco.2008.01.003
66. Wittmann, T. (2008), “Agent-Based Models of Energy Investment Decisions”, Doctoral Thesis, Technical University of Berlin, Physica-Verlag Heidelberg.
67. Wooldridge, M., and N. R. Jennings (1995), “Intelligent Agents: Theory and Practice”, Knowledge Engineering Review, 10 (2), pp. 115–152. DOI: 10.1017/S0269888900008122
68. Wooldridge, J. M. (2002), Econometric Analysis of Cross Section and Panel Data, Massachusetts Institute of Technology, The MIT Press, Cambridge, London.
69. Wooldridge, M. (2009), An Introduction to MultiAgent Systems, John Wiley & Sons, Chichester.
70. Worrel, E., S. Ramesohl, and G. Boyd, (2004), “Advances in Energy Forecasting Models Based on Engineering Economics”, Annu. Rev. Environ. Resour., 29, 345–81. DOI: 10.1146/annurev.energy.29.062403.102042
71. WWF (2009), „Modell Deutschland. Klimaschutz bis 2050: Vom Ziel her denken“, WWF Deutschland, Prognos AG, Öko-Institut e.V., Basel/Freiburg/ Berlin.
72. Yao, J., S. S. Oren, and B. F. Hobbs (2010), “Hybrid Bertrand-Cournot Models of Electricity Markets with Multiple Strategic Subnetworks and Common Knowledge Constraints”, in Restructured Electric Power Systems, X.-P. Zhang, eds., John Wiley & Sons, Inc., Hoboken, NJ, USA.