IDEAS home Printed from https://ideas.repec.org/a/ses/arsjes/2012-ii-2.html
   My bibliography  Save this article

Introduction to Energy Systems Modelling

Author

Listed:
  • Andrea Herbst
  • Felipe Andrés Toro
  • Felix Reitze
  • Eberhard Jochem

Abstract

The energy demand and supply projections of the Swiss government funded by the Swiss Federal Office of Energy and carried out by a consortium of institutes and consulting companies are based on two types of energy models: macroeconomic general equilibrium models and bottom-up models for each sector. While the macroeconomic models are used to deliver the economic, demographic and policy framework conditions as well as the macroeconomic impacts of particular scenarios, the bottom-up models simulate the technical developments in the final energy sectors and try to optimise electricity generation under the given boundary conditions of a particular scenario. This introductory article gives an overview of some of the energy models used in Switzerland and – more importantly – some insights into current advanced energy system modelling practice pointing to the characteristics of the two modelling types and their advantages and limitations.

Suggested Citation

  • Andrea Herbst & Felipe Andrés Toro & Felix Reitze & Eberhard Jochem, 2012. "Introduction to Energy Systems Modelling," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 111-135, June.
    • Handle: RePEc:ses:arsjes:2012-ii-2
    as

    Download full text from publisher

    File URL: http://www.sjes.ch/papers/2012-II-2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mundaca, Luis & Neij, Lena, 2009. "A multi-criteria evaluation framework for tradable white certificate schemes," Energy Policy, Elsevier, vol. 37(11), pages 4557-4573, November.
    2. Alain Bernard & Marc Vielle, 2008. "GEMINI-E3, a general equilibrium model of international–national interactions between economy, energy and the environment," Computational Management Science, Springer, vol. 5(3), pages 173-206, May.
    3. Russ, Peter & Criqui, Patrick, 2007. "Post-Kyoto CO2 emission reduction: The soft landing scenario analysed with POLES and other world models," Energy Policy, Elsevier, vol. 35(2), pages 786-796, February.
    4. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    5. Capros, P. & Georgakopoulos, P. & Zografakis, S. & Proost, S., 1996. "Double dividend analysis: first results of a general equilibrium mode (GEM-E3) linking the EU countries," LIDAM Reprints CORE 1207, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Jean Charles Hourcade & Mark Jaccard & Chris Bataille & Frédéric Ghersi, 2006. "Hybrid Modeling: New Answers to Old Challenges," Post-Print halshs-00471234, HAL.
    7. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
    8. Loschel, Andreas, 2002. "Technological change in economic models of environmental policy: a survey," Ecological Economics, Elsevier, vol. 43(2-3), pages 105-126, December.
    9. Peter Russ & Patrick Criqui, 2007. "Post-Kyoto CO2 emission reduction : the soft landing scenario analysed with POLES and other world models," Post-Print halshs-00078489, HAL.
    10. Bohringer, Christoph & Rutherford, Thomas F., 2008. "Combining bottom-up and top-down," Energy Economics, Elsevier, vol. 30(2), pages 574-596, March.
    11. Jean-Charles Hourcade, Mark Jaccard, Chris Bataille, and Frederic Ghersi, 2006. "Hybrid Modeling: New Answers to Old Challenges Introduction to the Special Issue of The Energy Journal," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 1-12.
    12. Alan S. Manne & Richard G. Richels, 1990. "C02 Emission Limits: An Economic Cost Analysis for the USA," The Energy Journal, , vol. 11(2), pages 51-75, April.
    13. Gürkan Kumbaroglu & Reinhard Madlener, 2001. "A Description of the Hybrid Bottom-Up CGE Model SCREEN with an Application to Swiss Climate Policy Analysis," CEPE Working paper series 01-10, CEPE Center for Energy Policy and Economics, ETH Zurich.
    14. de Vries, Bert & Janssen, Marco & Beusen, Arthur, 1999. "Perspectives on global energy futures: simulations with the TIME model," Energy Policy, Elsevier, vol. 27(8), pages 477-494, August.
    15. Krause, Florentin, 1996. "The costs of mitigating carbon emissions : A review of methods and findings from European studies," Energy Policy, Elsevier, vol. 24(10-11), pages 899-915.
    16. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo, 2008. "The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany," Energy Policy, Elsevier, vol. 36(8), pages 3076-3084, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Halkos, George, 2014. "The Economics of Climate Change Policy: Critical review and future policy directions," MPRA Paper 56841, University Library of Munich, Germany.
    2. Laha, Priyanka & Chakraborty, Basab, 2017. "Energy model – A tool for preventing energy dysfunction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 95-114.
    3. Dai, Hancheng & Mischke, Peggy & Xie, Xuxuan & Xie, Yang & Masui, Toshihiko, 2016. "Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions," Applied Energy, Elsevier, vol. 162(C), pages 1355-1373.
    4. Omar Shafqat & Elena Malakhtka & Nina Chrobot & Per Lundqvist, 2021. "End Use Energy Services Framework Co-Creation with Multiple Stakeholders—A Living Lab-Based Case Study," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    5. Martin T. Ross, Patrick T. Sullivan, Allen A. Fawcett, and Brooks M. Depro, 2014. "Investigating Technology Options for Climate Policies: Differentiated Roles in ADAGE," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    6. Sebastian Rausch & Valerie J. Karplus, 2014. "Markets versus Regulation: The Efficiency and Distributional Impacts of U.S. Climate Policy Proposals," The Energy Journal, , vol. 35(1_suppl), pages 199-228, June.
    7. Pablo Pintos & Pedro Linares, 2016. "Assessing the EU ETS with an Integrated Model," Working Papers 01-2016, Economics for Energy.
    8. Andersen, Kristoffer S. & Termansen, Lars B. & Gargiulo, Maurizio & Ó Gallachóirc, Brian P., 2019. "Bridging the gap using energy services: Demonstrating a novel framework for soft linking top-down and bottom-up models," Energy, Elsevier, vol. 169(C), pages 277-293.
    9. Anandarajah, Gabrial & Strachan, Neil, 2010. "Interactions and implications of renewable and climate change policy on UK energy scenarios," Energy Policy, Elsevier, vol. 38(11), pages 6724-6735, November.
    10. Willenbockel, Dirk, 2017. "Macroeconomic Effects of a Low-Carbon Electricity Transition in Kenya and Ghana: An Exploratory Dynamic General Equilibrium Analysis," MPRA Paper 78070, University Library of Munich, Germany.
    11. Lee, Hwarang & Kang, Sung Won & Koo, Yoonmo, 2020. "A hybrid energy system model to evaluate the impact of climate policy on the manufacturing sector: Adoption of energy-efficient technologies and rebound effects," Energy, Elsevier, vol. 212(C).
    12. Bruno Merven & Channing Arndt & Harald Winkler, 2017. "The development of a linked modelling framework for analysing the socioeconomic impacts of energy and climate policies in South Africa," WIDER Working Paper Series 040, World Institute for Development Economic Research (UNU-WIDER).
    13. Abrell, Jan & Rausch, Sebastian, 2016. "Cross-country electricity trade, renewable energy and European transmission infrastructure policy," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 87-113.
    14. Xavier Labandeira, Pedro Linares and Miguel Rodriguez, 2009. "An Integrated Approach to Simulate the impacts of Carbon Emissions Trading Schemes," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    15. Rausch, Sebastian & Mowers, Matthew, 2014. "Distributional and efficiency impacts of clean and renewable energy standards for electricity," Resource and Energy Economics, Elsevier, vol. 36(2), pages 556-585.
    16. Kamiński, Jacek, 2012. "The development of market power in the Polish power generation sector: A 10-year perspective," Energy Policy, Elsevier, vol. 42(C), pages 136-147.
    17. Mier, Mathias & Siala, Kais & Govorukha, Kristina & Mayer, Philip, 2023. "Collaboration, decarbonization, and distributional effects," Applied Energy, Elsevier, vol. 341(C).
    18. Kuik, Onno & Brander, Luke & Tol, Richard S.J., 2009. "Marginal abatement costs of greenhouse gas emissions: A meta-analysis," Energy Policy, Elsevier, vol. 37(4), pages 1395-1403, April.
    19. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2017. "How to benefit from a common European electricity market design," Energy Policy, Elsevier, vol. 101(C), pages 629-643.
    20. Bruno Merven & Channing Arndt & Harald Winkler, 2017. "The development of a linked modelling framework for analysing the socioeconomic impacts of energy and climate policies in South Africa," WIDER Working Paper Series wp-2017-40, World Institute for Development Economic Research (UNU-WIDER).

    More about this item

    Keywords

    energy modelling; bottom-up; top-down; hybrid energy system modelling; Switzerland;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L61 - Industrial Organization - - Industry Studies: Manufacturing - - - Metals and Metal Products; Cement; Glass; Ceramics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ses:arsjes:2012-ii-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kurt Schmidheiny (email available below). General contact details of provider: https://edirc.repec.org/data/sgvssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.