IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v151y2021ics0301421521000288.html
   My bibliography  Save this article

The role of energy storage in the uptake of renewable energy: A model comparison approach

Author

Listed:
  • Giarola, Sara
  • Molar-Cruz, Anahi
  • Vaillancourt, Kathleen
  • Bahn, Olivier
  • Sarmiento, Luis
  • Hawkes, Adam
  • Brown, Maxwell

Abstract

The power sector needs to ensure a rapid transition towards a low-carbon energy system to avoid the dangerous consequences of greenhouse gas emissions. Storage technologies are a promising option to provide the power system with the flexibility required when intermittent renewables are present in the electricity generation mix. This paper focuses on the role of electricity storage in energy systems with high shares of renewable sources. The study encompasses a model comparison approach where four models (GENeSYS-MOD, MUSE, NATEM, and urbs−MX) are used to analyse the storage uptake in North America. The analysis addresses the conditions affecting storage uptake in each country and its dependence on resource availability, technology costs, and public policies. Results show that storage may promote emissions reduction at lower costs when renewable mandates are in place whereas in presence of carbon taxes, renewables may compete with other low-carbon options. The study also highlights the main modelling approach shortcomings in the modelling of electricity storage in integrated assessment models.

Suggested Citation

  • Giarola, Sara & Molar-Cruz, Anahi & Vaillancourt, Kathleen & Bahn, Olivier & Sarmiento, Luis & Hawkes, Adam & Brown, Maxwell, 2021. "The role of energy storage in the uptake of renewable energy: A model comparison approach," Energy Policy, Elsevier, vol. 151(C).
    • Handle: RePEc:eee:enepol:v:151:y:2021:i:c:s0301421521000288
    DOI: 10.1016/j.enpol.2021.112159
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421521000288
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2021.112159?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. Lazkano, Itziar & Nøstbakken, Linda & Pelli, Martino, 2017. "From fossil fuels to renewables: The role of electricity storage," European Economic Review, Elsevier, vol. 99(C), pages 113-129.
    2. Linn, Joshua & Shih, Jhih-Shyang, 2019. "Do lower electricity storage costs reduce greenhouse gas emissions?," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 130-158.
    3. Crampes, Claude & Trochet, Jean-Michel, 2019. "Economics of stationary electricity storage with various charge and discharge durations," TSE Working Papers 19-985, Toulouse School of Economics (TSE).
    4. Barbara Koelbl & Machteld Broek & André Faaij & Detlef Vuuren, 2014. "Uncertainty in Carbon Capture and Storage (CCS) deployment projections: a cross-model comparison exercise," Climatic Change, Springer, vol. 123(3), pages 461-476, April.
    5. Konstantin Löffler & Karlo Hainsch & Thorsten Burandt & Pao-Yu Oei & Claudia Kemfert & Christian Von Hirschhausen, 2017. "Designing a Model for the Global Energy System—GENeSYS-MOD: An Application of the Open-Source Energy Modeling System (OSeMOSYS)," Energies, MDPI, vol. 10(10), pages 1-28, September.
    6. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
    7. Hansen, Kenneth & Mathiesen, Brian Vad & Skov, Iva Ridjan, 2019. "Full energy system transition towards 100% renewable energy in Germany in 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 1-13.
    8. Castagneto Gissey, Giorgio & Subkhankulova, Dina & Dodds, Paul E. & Barrett, Mark, 2019. "Value of energy storage aggregation to the electricity system," Energy Policy, Elsevier, vol. 128(C), pages 685-696.
    9. Amro Elshurafa, 2020. "The Value of Storage in Electricity Generation: A Qualitative and Quantitative Review," Discussion Papers ks--2020-dp23, King Abdullah Petroleum Studies and Research Center.
    10. Howells, Mark & Rogner, Holger & Strachan, Neil & Heaps, Charles & Huntington, Hillard & Kypreos, Socrates & Hughes, Alison & Silveira, Semida & DeCarolis, Joe & Bazillian, Morgan & Roehrl, Alexander, 2011. "OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development," Energy Policy, Elsevier, vol. 39(10), pages 5850-5870, October.
    11. Richard Loulou & Maryse Labriet, 2008. "ETSAP-TIAM: the TIMES integrated assessment model Part I: Model structure," Computational Management Science, Springer, vol. 5(1), pages 7-40, February.
    12. Weyant, John P., 2004. "Introduction and overview," Energy Economics, Elsevier, vol. 26(4), pages 501-515, July.
    13. Sachs, Julia & Meng, Yiming & Giarola, Sara & Hawkes, Adam, 2019. "An agent-based model for energy investment decisions in the residential sector," Energy, Elsevier, vol. 172(C), pages 752-768.
    14. 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.
    15. Peter Bernholz & Roland Vaubel, 2004. "Introduction and overview," Chapters, in: Peter Bernholz & Roland Vaubel (ed.), Political Competition, Innovation and Growth in the History of Asian Civilizations, chapter 1, Edward Elgar Publishing.
    16. Vaillancourt, Kathleen & Bahn, Olivier & Frenette, Erik & Sigvaldason, Oskar, 2017. "Exploring deep decarbonization pathways to 2050 for Canada using an optimization energy model framework," Applied Energy, Elsevier, vol. 195(C), pages 774-785.
    17. Thorsten Burandt & Konstantin Löffler & Karlo Hainsch, 2018. "GENeSYS-MOD v2.0 – Enhancing the Global Energy System Model: Model Improvements, Framework Changes, and European Data Set," Data Documentation 94, DIW Berlin, German Institute for Economic Research.
    18. Richard M. Bird & Enid Slack, 2004. "Introduction and Overview," Chapters, in: Richard M. Bird & Enid Slack (ed.), International Handbook of Land and Property Taxation, chapter 1, Edward Elgar Publishing.
    19. Bosch, Jonathan & Staffell, Iain & Hawkes, Adam D., 2018. "Temporally explicit and spatially resolved global offshore wind energy potentials," Energy, Elsevier, vol. 163(C), pages 766-781.
    20. Després, Jacques & Mima, Silvana & Kitous, Alban & Criqui, Patrick & Hadjsaid, Nouredine & Noirot, Isabelle, 2017. "Storage as a flexibility option in power systems with high shares of variable renewable energy sources: a POLES-based analysis," Energy Economics, Elsevier, vol. 64(C), pages 638-650.
    21. Frew, Bethany A. & Jacobson, Mark Z., 2016. "Temporal and spatial tradeoffs in power system modeling with assumptions about storage: An application of the POWER model," Energy, Elsevier, vol. 117(P1), pages 198-213.
    22. Krey, Volker & Guo, Fei & Kolp, Peter & Zhou, Wenji & Schaeffer, Roberto & Awasthy, Aayushi & Bertram, Christoph & de Boer, Harmen-Sytze & Fragkos, Panagiotis & Fujimori, Shinichiro & He, Chenmin & Iy, 2019. "Looking under the hood: A comparison of techno-economic assumptions across national and global integrated assessment models," Energy, Elsevier, vol. 172(C), pages 1254-1267.
    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. 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).
    2. Gutiérrez-Meave, Raúl & Rosellón, Juan & Sarmiento, Luis, 2021. "The Effect of Changing Marginal-Cost to Physical-Order Dispatch in the Power Sector," RFF Working Paper Series 21-19, Resources for the Future.
    3. Lin, Boqiang & Xie, Yongjing, 2024. "Effect of renewable energy subsidy policy on firms’ total factor productivity: The threshold effect," Energy Policy, Elsevier, vol. 192(C).
    4. Keck, Felix & Jütte, Silke & Lenzen, Manfred & Li, Mengyu, 2022. "Assessment of two optimisation methods for renewable energy capacity expansion planning," Applied Energy, Elsevier, vol. 306(PA).
    5. 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).
    6. Ahmed, Faraedoon & Al Kez, Dlzar & McLoone, Seán & Best, Robert James & Cameron, Ché & Foley, Aoife, 2023. "Dynamic grid stability in low carbon power systems with minimum inertia," Renewable Energy, Elsevier, vol. 210(C), pages 486-506.
    7. van Ouwerkerk, Jonas & Gils, Hans Christian & Gardian, Hedda & Kittel, Martin & Schill, Wolf-Peter & Zerrahn, Alexander & Murmann, Alexander & Launer, Jann & Torralba-Díaz, Laura & Bußar, Christian, 2022. "Impacts of power sector model features on optimal capacity expansion: A comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    8. Heinisch, Verena & Dujardin, Jérôme & Gabrielli, Paolo & Jain, Pranjal & Lehning, Michael & Sansavini, Giovanni & Sasse, Jan-Philipp & Schaffner, Christian & Schwarz, Marius & Trutnevyte, Evelina, 2023. "Inter-comparison of spatial models for high shares of renewable electricity in Switzerland," Applied Energy, Elsevier, vol. 350(C).
    9. Sagaria, Shemin & van der Kam, Mart & Boström, Tobias, 2024. "The influence of socio-technical variables on vehicle-to-grid technology," Energy, Elsevier, vol. 305(C).
    10. Tian, Xuelin & An, Chunjiang & Chen, Zhikun, 2023. "The role of clean energy in achieving decarbonization of electricity generation, transportation, and heating sectors by 2050: A meta-analysis review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    11. Gils, Hans Christian & Gardian, Hedda & Kittel, Martin & Schill, Wolf-Peter & Murmann, Alexander & Launer, Jann & Gaumnitz, Felix & van Ouwerkerk, Jonas & Mikurda, Jennifer & Torralba-Díaz, Laura, 2022. "Model-related outcome differences in power system models with sector coupling—Quantification and drivers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    12. Conlon, Terence & Waite, Michael & Wu, Yuezi & Modi, Vijay, 2022. "Assessing trade-offs among electrification and grid decarbonization in a clean energy transition: Application to New York State," Energy, Elsevier, vol. 249(C).
    13. Say, Kelvin & Csereklyei, Zsuzsanna & Brown, Felix Gabriel & Wang, Changlong, 2023. "The economics of public transport electrification: A case study from Victoria, Australia," Energy Economics, Elsevier, vol. 120(C).

    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. 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).
    2. 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).
    3. 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).
    4. Luca Gerotto & Paolo Pellizzari, 2021. "A replication of Pindyck’s willingness to pay: on the efforts required to obtain results," SN Business & Economics, Springer, vol. 1(5), pages 1-25, May.
    5. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
    6. Camille Pajot & Nils Artiges & Benoit Delinchant & Simon Rouchier & Frédéric Wurtz & Yves Maréchal, 2019. "An Approach to Study District Thermal Flexibility Using Generative Modeling from Existing Data," Energies, MDPI, vol. 12(19), pages 1-22, September.
    7. Yue, Xiufeng & Patankar, Neha & Decarolis, Joseph & Chiodi, Alessandro & Rogan, Fionn & Deane, J.P. & O’Gallachoir, Brian, 2020. "Least cost energy system pathways towards 100% renewable energy in Ireland by 2050," Energy, Elsevier, vol. 207(C).
    8. Besagni, Giorgio & Borgarello, Marco & Premoli Vilà, Lidia & Najafi, Behzad & Rinaldi, Fabio, 2020. "MOIRAE – bottom-up MOdel to compute the energy consumption of the Italian REsidential sector: Model design, validation and evaluation of electrification pathways," Energy, Elsevier, vol. 211(C).
    9. Plazas-Niño, F.A. & Ortiz-Pimiento, N.R. & Montes-Páez, E.G., 2022. "National energy system optimization modelling for decarbonization pathways analysis: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    10. Heggarty, Thomas & Bourmaud, Jean-Yves & Girard, Robin & Kariniotakis, Georges, 2024. "Assessing the relative impacts of maximum investment rate and temporal detail in capacity expansion models applied to power systems," Energy, Elsevier, vol. 290(C).
    11. Castagneto Gissey, Giorgio & Zakeri, Behnam & Dodds, Paul E. & Subkhankulova, Dina, 2021. "Evaluating consumer investments in distributed energy technologies," Energy Policy, Elsevier, vol. 149(C).
    12. Löffler, Konstantin & Burandt, Thorsten & Hainsch, Karlo & Oei, Pao-Yu & Seehaus, Frederik & Wejda, Felix, 2022. "Chances and barriers for Germany's low carbon transition - Quantifying uncertainties in key influential factors," Energy, Elsevier, vol. 239(PA).
    13. 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).
    14. Hansen, Kenneth & Breyer, Christian & Lund, Henrik, 2019. "Status and perspectives on 100% renewable energy systems," Energy, Elsevier, vol. 175(C), pages 471-480.
    15. Fattahi, A. & Sijm, J. & Faaij, A., 2020. "A systemic approach to analyze integrated energy system modeling tools: A review of national models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    16. Parrado-Hernando, Gonzalo & Herc, Luka & Pfeifer, Antun & Capellán-Perez, Iñigo & Batas Bjelić, Ilija & Duić, Neven & Frechoso-Escudero, Fernando & Miguel González, Luis Javier & Gjorgievski, Vladimir, 2022. "Capturing features of hourly-resolution energy models through statistical annual indicators," Renewable Energy, Elsevier, vol. 197(C), pages 1192-1223.
    17. 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).
    18. Martínez-Gordón, R. & Morales-España, G. & Sijm, J. & Faaij, A.P.C., 2021. "A review of the role of spatial resolution in energy systems modelling: Lessons learned and applicability to the North Sea region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    19. Junichi Tsutsui & Hiromi Yamamoto & Shogo Sakamoto & Masahiro Sugiyama, 2020. "The role of advanced end-use technologies in long-term climate change mitigation: the interlinkage between primary bioenergy and energy end-use," Climatic Change, Springer, vol. 163(3), pages 1659-1673, December.
    20. Rhodes, Ekaterina & Hoyle, Aaron & McPherson, Madeleine & Craig, Kira, 2022. "Understanding climate policy projections: A scoping review of energy-economy models in Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(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:enepol:v:151:y:2021:i:c:s0301421521000288. 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/locate/enpol .

    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.