IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v171y2016icp555-580.html
   My bibliography  Save this article

Scenario-based comparative assessment of potential future electricity systems – A new methodological approach using Germany in 2050 as an example

Author

Listed:
  • Lunz, Benedikt
  • Stöcker, Philipp
  • Eckstein, Sascha
  • Nebel, Arjuna
  • Samadi, Sascha
  • Erlach, Berit
  • Fischedick, Manfred
  • Elsner, Peter
  • Sauer, Dirk Uwe

Abstract

In this paper a new method for the evaluation and comparison of potential future electricity systems is presented. The German electricity system in the year 2050 is used as an example. Based on a comprehensive scenario analysis defining a corridor for possible shares of fluctuating renewable energy sources (FRES) residual loads are calculated in a unified manner. The share of electricity from PV and wind power plants in Germany in the year 2050 is in a range of 42–122% and the load demand has a bandwidth of around 460–750TWh. The residual loads are input for an algorithm that defines a supplementary mix of technologies providing flexibility to the system. The overall system layout guarantees the balance of generation and demand at all times. Due to the fact that the same method for residual load calculation and mixture of technologies is applied for all scenarios, a good comparability is guaranteed and we are able to identify key characteristics for future developments. The unique feature of the new algorithms presented here is the very fast calculation for a year-long simulation with hourly or shorter time steps taking into account the state of charge or availability of all storage and flexibility technologies. This allows an analysis of many different scenarios on a macro-economic level, variation of input parameters can easily be done, and extensive sensitivity analysis is possible. Furthermore different shares of FRES, CO2-emission targets, interest rates or social acceptance of certain technologies can be included. The capabilities of the method are demonstrated by an analysis of potential German power system layouts with a base scenario of 90% CO2-reduction target compared to 1990 and by the identification of different options for a power sector with a high degree of decarbonisation. The approach also aims at a very high level of transparency both regarding the algorithms and regarding the input parameters of the different technologies taken into account. Therefore this paper also gives a comprehensive and complete overview on the technology parameters used. The forecast on all technologies for the year 2050 regarding technical and economic parameters was made in a comprehensive consultation process with more than 100 experts representing academia and industry working on all different technologies. An extensive analysis of options for the design of potential German energy supply systems in 2050 based on the presented methodology will be published in a follow-up paper.

Suggested Citation

  • Lunz, Benedikt & Stöcker, Philipp & Eckstein, Sascha & Nebel, Arjuna & Samadi, Sascha & Erlach, Berit & Fischedick, Manfred & Elsner, Peter & Sauer, Dirk Uwe, 2016. "Scenario-based comparative assessment of potential future electricity systems – A new methodological approach using Germany in 2050 as an example," Applied Energy, Elsevier, vol. 171(C), pages 555-580.
  • Handle: RePEc:eee:appene:v:171:y:2016:i:c:p:555-580
    DOI: 10.1016/j.apenergy.2016.03.087
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916304135
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2016.03.087?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Palzer, Andreas & Henning, Hans-Martin, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies – Part II: Results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1019-1034.
    2. Pfenninger, Stefan & Keirstead, James, 2015. "Renewables, nuclear, or fossil fuels? Scenarios for Great Britain’s power system considering costs, emissions and energy security," Applied Energy, Elsevier, vol. 152(C), pages 83-93.
    3. Richardson, David B. & Harvey, L.D. Danny, 2015. "Optimizing renewable energy, demand response and energy storage to replace conventional fuels in Ontario, Canada," Energy, Elsevier, vol. 93(P2), pages 1447-1455.
    4. Trieb, Franz & Schillings, Christoph & Pregger, Thomas & O'Sullivan, Marlene, 2012. "Solar electricity imports from the Middle East and North Africa to Europe," Energy Policy, Elsevier, vol. 42(C), pages 341-353.
    5. Colinet, María J. & Cansino, José M. & González-Limón, José M. & Ordóñez, Manuel, 2014. "Toward a less natural gas dependent energy mix in Spain: Crowding-out effects of shifting to biomass power generation," Utilities Policy, Elsevier, vol. 31(C), pages 29-35.
    6. Gonzalez-Salazar, Miguel Angel & Morini, Mirko & Pinelli, Michele & Spina, Pier Ruggero & Venturini, Mauro & Finkenrath, Matthias & Poganietz, Witold-Roger, 2014. "Methodology for estimating biomass energy potential and its application to Colombia," Applied Energy, Elsevier, vol. 136(C), pages 781-796.
    7. Viebahn, Peter & Vallentin, Daniel & Höller, Samuel, 2015. "Prospects of carbon capture and storage (CCS) in China’s power sector – An integrated assessment," Applied Energy, Elsevier, vol. 157(C), pages 229-244.
    8. Pietzcker, Robert Carl & Stetter, Daniel & Manger, Susanne & Luderer, Gunnar, 2014. "Using the sun to decarbonize the power sector: The economic potential of photovoltaics and concentrating solar power," Applied Energy, Elsevier, vol. 135(C), pages 704-720.
    9. Chasnyk, O. & Sołowski, G. & Shkarupa, O., 2015. "Historical, technical and economic aspects of biogas development: Case of Poland and Ukraine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 227-239.
    10. Mileva, Ana & Johnston, Josiah & Nelson, James H. & Kammen, Daniel M., 2016. "Power system balancing for deep decarbonization of the electricity sector," Applied Energy, Elsevier, vol. 162(C), pages 1001-1009.
    11. Foley, A.M. & Ó Gallachóir, B.P. & Hur, J. & Baldick, R. & McKeogh, E.J., 2010. "A strategic review of electricity systems models," Energy, Elsevier, vol. 35(12), pages 4522-4530.
    12. Kazagic, Anes & Merzic, Ajla & Redzic, Elma & Music, Mustafa, 2014. "Power utility generation portfolio optimization as function of specific RES and decarbonisation targets – EPBiH case study," Applied Energy, Elsevier, vol. 135(C), pages 694-703.
    13. Rios, Mario & Kaltschmitt, Martin, 2016. "Electricity generation potential from biogas produced from organic waste in Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 384-395.
    14. Haller, Markus & Ludig, Sylvie & Bauer, Nico, 2012. "Decarbonization scenarios for the EU and MENA power system: Considering spatial distribution and short term dynamics of renewable generation," Energy Policy, Elsevier, vol. 47(C), pages 282-290.
    15. Szarka, Nora & Scholwin, Frank & Trommler, Marcus & Fabian Jacobi, H. & Eichhorn, Marcus & Ortwein, Andreas & Thrän, Daniela, 2013. "A novel role for bioenergy: A flexible, demand-oriented power supply," Energy, Elsevier, vol. 61(C), pages 18-26.
    16. Flouri, Maria & Karakosta, Charikleia & Kladouchou, Charikleia & Psarras, John, 2015. "How does a natural gas supply interruption affect the EU gas security? A Monte Carlo simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 785-796.
    17. Richter, Jan, 2011. "DIMENSION - A Dispatch and Investment Model for European Electricity Markets," EWI Working Papers 2011-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    18. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    19. Biresselioglu, Mehmet Efe & Yelkenci, Tezer & Oz, Ibrahim Onur, 2015. "Investigating the natural gas supply security: A new perspective," Energy, Elsevier, vol. 80(C), pages 168-176.
    20. Uddin, Waqar & Khan, B. & Shaukat, Neelofar & Majid, Muhammad & Mujtaba, G. & Mehmood, Arshad & Ali, S.M. & Younas, U. & Anwar, Muhammad & Almeshal, Abdullah M., 2016. "Biogas potential for electric power generation in Pakistan: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 25-33.
    21. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    22. Strachan, Neil & Pye, Steve & Kannan, Ramachandran, 2009. "The iterative contribution and relevance of modelling to UK energy policy," Energy Policy, Elsevier, vol. 37(3), pages 850-860, March.
    23. Viebahn, Peter & Vallentin, Daniel & Höller, Samuel, 2014. "Prospects of carbon capture and storage (CCS) in India’s power sector – An integrated assessment," Applied Energy, Elsevier, vol. 117(C), pages 62-75.
    24. Chen, Xiaoguang, 2016. "Economic potential of biomass supply from crop residues in China," Applied Energy, Elsevier, vol. 166(C), pages 141-149.
    25. Moreda, Iván López, 2016. "The potential of biogas production in Uruguay," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1580-1591.
    26. Henning, Hans-Martin & Palzer, Andreas, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies—Part I: Methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1003-1018.
    27. Lee, Jui-Yuan & Tan, Raymond R. & Chen, Cheng-Liang, 2014. "A unified model for the deployment of carbon capture and storage," Applied Energy, Elsevier, vol. 121(C), pages 140-148.
    28. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    29. Tokunaga, Kanae & Konan, Denise Eby, 2014. "Home grown or imported? Biofuels life cycle GHG emissions in electricity generation and transportation," Applied Energy, Elsevier, vol. 125(C), pages 123-131.
    30. Lilliestam, Johan, 2014. "Vulnerability to terrorist attacks in European electricity decarbonisation scenarios: Comparing renewable electricity imports to gas imports," Energy Policy, Elsevier, vol. 66(C), pages 234-248.
    31. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2011. "Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3480-3500.
    32. Trieb, Franz & Müller-Steinhagen, Hans & Kern, Jürgen, 2011. "Financing concentrating solar power in the Middle East and North Africa--Subsidy or investment?," Energy Policy, Elsevier, vol. 39(1), pages 307-317, January.
    33. Devlin, Joseph & Li, Kang & Higgins, Paraic & Foley, Aoife, 2016. "The importance of gas infrastructure in power systems with high wind power penetrations," Applied Energy, Elsevier, vol. 167(C), pages 294-304.
    34. Haydt, Gustavo & Leal, Vítor & Pina, André & Silva, Carlos A., 2011. "The relevance of the energy resource dynamics in the mid/long-term energy planning models," Renewable Energy, Elsevier, vol. 36(11), pages 3068-3074.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Johlas, Hannah & Witherby, Shelby & Doyle, James R., 2020. "Storage requirements for high grid penetration of wind and solar power for the MISO region of North America: A case study," Renewable Energy, Elsevier, vol. 146(C), pages 1315-1324.
    2. Murray, Portia & Orehounig, Kristina & Grosspietsch, David & Carmeliet, Jan, 2018. "A comparison of storage systems in neighbourhood decentralized energy system applications from 2015 to 2050," Applied Energy, Elsevier, vol. 231(C), pages 1285-1306.
    3. Morgenthaler, Simon & Kuckshinrichs, Wilhelm & Witthaut, Dirk, 2020. "Optimal system layout and locations for fully renewable high temperature co-electrolysis," Applied Energy, Elsevier, vol. 260(C).
    4. Pizarro-Alonso, Amalia & Ravn, Hans & Münster, Marie, 2019. "Uncertainties towards a fossil-free system with high integration of wind energy in long-term planning," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    5. Thure Traber & Franziska Simone Hegner & Hans-Josef Fell, 2021. "An Economically Viable 100% Renewable Energy System for All Energy Sectors of Germany in 2030," Energies, MDPI, vol. 14(17), pages 1-17, August.
    6. Martin Robinius & Alexander Otto & Konstantinos Syranidis & David S. Ryberg & Philipp Heuser & Lara Welder & Thomas Grube & Peter Markewitz & Vanessa Tietze & Detlef Stolten, 2017. "Linking the Power and Transport Sectors—Part 2: Modelling a Sector Coupling Scenario for Germany," Energies, MDPI, vol. 10(7), pages 1-23, July.
    7. Lopion, Peter & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "A review of current challenges and trends in energy systems modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 156-166.
    8. Horschig, Thomas & Adams, Paul W.R. & Röder, Mirjam & Thornley, Patricia & Thrän, Daniela, 2016. "Reasonable potential for GHG savings by anaerobic biomethane in Germany and UK derived from economic and ecological analyses," Applied Energy, Elsevier, vol. 184(C), pages 840-852.
    9. Prina, Matteo Giacomo & Nastasi, Benedetto & Groppi, Daniele & Misconel, Steffi & Garcia, Davide Astiaso & Sparber, Wolfram, 2022. "Comparison methods of energy system frameworks, models and scenario results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    10. Donovin D. Lewis & Aron Patrick & Evan S. Jones & Rosemary E. Alden & Abdullah Al Hadi & Malcolm D. McCulloch & Dan M. Ionel, 2023. "Decarbonization Analysis for Thermal Generation and Regionally Integrated Large-Scale Renewables Based on Minutely Optimal Dispatch with a Kentucky Case Study," Energies, MDPI, vol. 16(4), pages 1-23, February.
    11. Dupont, Elise & Koppelaar, Rembrandt & Jeanmart, Hervé, 2018. "Global available wind energy with physical and energy return on investment constraints," Applied Energy, Elsevier, vol. 209(C), pages 322-338.
    12. Martina Ricci & Marcello Benvenuto & Stefano Gino Mosele & Roberto Pacciani & Michele Marconcini, 2022. "Predicting the Impact of Compressor Flexibility Improvements on Heavy-Duty Gas Turbines for Minimum and Base Load Conditions," Energies, MDPI, vol. 15(20), pages 1-14, October.
    13. Prasad, Ravita D. & Raturi, Atul, 2019. "Low carbon alternatives and their implications for Fiji's electricity sector," Utilities Policy, Elsevier, vol. 56(C), pages 1-19.

    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. Savvidis, Georgios & Siala, Kais & Weissbart, Christoph & Schmidt, Lukas & Borggrefe, Frieder & Kumar, Subhash & Pittel, Karen & Madlener, Reinhard & Hufendiek, Kai, 2019. "The gap between energy policy challenges and model capabilities," Energy Policy, Elsevier, vol. 125(C), pages 503-520.
    2. Lopion, Peter & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "A review of current challenges and trends in energy systems modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 156-166.
    3. Md. Nasimul Islam Maruf, 2019. "Sector Coupling in the North Sea Region—A Review on the Energy System Modelling Perspective," Energies, MDPI, vol. 12(22), pages 1-35, November.
    4. Zerrahn, Alexander & Schill, Wolf-Peter, 2017. "Long-run power storage requirements for high shares of renewables: review and a new model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1518-1534.
    5. Koppelaar, Rembrandt H.E.M. & Keirstead, James & Shah, Nilay & Woods, Jeremy, 2016. "A review of policy analysis purpose and capabilities of electricity system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1531-1544.
    6. Klemm, Christian & Vennemann, Peter, 2021. "Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Blanco, Herib & Faaij, André, 2018. "A review at the role of storage in energy systems with a focus on Power to Gas and long-term storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1049-1086.
    8. Borasio, M. & Moret, S., 2022. "Deep decarbonisation of regional energy systems: A novel modelling approach and its application to the Italian energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    9. Mirjat, Nayyar Hussain & Uqaili, Mohammad Aslam & Harijan, Khanji & Valasai, Gordhan Das & Shaikh, Faheemullah & Waris, M., 2017. "A review of energy and power planning and policies of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 110-127.
    10. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    11. Scheer, Dirk, 2017. "Communicating energy system modelling to the wider public: An analysis of German media coverage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1389-1398.
    12. Densing, M. & Panos, E. & Hirschberg, S., 2016. "Meta-analysis of energy scenario studies: Example of electricity scenarios for Switzerland," Energy, Elsevier, vol. 109(C), pages 998-1015.
    13. Prina, Matteo Giacomo & Manzolini, Giampaolo & Moser, David & Nastasi, Benedetto & Sparber, Wolfram, 2020. "Classification and challenges of bottom-up energy system models - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    14. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    15. Yazdanie, M. & Orehounig, K., 2021. "Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    16. Ahmad, Salman & Mat Tahar, Razman & Muhammad-Sukki, Firdaus & Munir, Abu Bakar & Abdul Rahim, Ruzairi, 2016. "Application of system dynamics approach in electricity sector modelling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 29-37.
    17. Thimet, P.J. & Mavromatidis, G., 2022. "Review of model-based electricity system transition scenarios: An analysis for Switzerland, Germany, France, and Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    18. Geoffrey J. Blanford & Christoph Weissbart, 2019. "A Framework for Modeling the Dynamics of Power Markets – The EU-REGEN Model," ifo Working Paper Series 307, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    19. Alexander Blinn & Henrik te Heesen, 2022. "UCB-SEnMod : A Model for Analyzing Future Energy Systems with 100% Renewable Energy Technologies—Methodology," Energies, MDPI, vol. 15(12), pages 1-22, June.
    20. Chang, Miguel & Thellufsen, Jakob Zink & Zakeri, Behnam & Pickering, Bryn & Pfenninger, Stefan & Lund, Henrik & Østergaard, Poul Alberg, 2021. "Trends in tools and approaches for modelling the energy transition," Applied Energy, Elsevier, vol. 290(C).

    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:eee:appene:v:171:y:2016:i:c:p:555-580. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.