IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v183y2016icp1594-1606.html
   My bibliography  Save this article

Comparison of electricity storage options using levelized cost of storage (LCOS) method

Author

Listed:
  • Jülch, Verena

Abstract

This paper presents a detailed analysis of the levelized cost of storage (LCOS) for different electricity storage technologies. Costs were analyzed for a long-term storage system (100MW power and 70GWh capacity) and a short-term storage system (100MW power and 400MWh capacity). Detailed data sets for the latest costs of four technology groups are provided in this paper. The LCOS method allows a cost comparison of technologies in different system designs and various operation modes. The results for the long-term storage show that Pumped-Storage Hydroelectricity has the lowest LCOS among the mature technologies today. Power to Gas technologies, once established on the market, may also provide long-term electricity storage at even lower LCOS. Pumped-Storage Hydroelectricity is also the cheapest technology for short-term storage systems. Battery systems at the moment still have high costs but are expected to have a sharp price decrease in the near future. Power to Gas and adiabatic Compressed Air Energy Storage systems may become cost competitive as short-term storage systems as well. The detailed analysis of the cost components shows that the cost composition is very inhomogeneous among the technologies. Plant design optimized to the application is therefore crucial for cost minimization. Sensitivity analysis shows that for most technologies the amount of energy discharged as well as the cost of electricity purchase are the most influential factors for the LCOS.

Suggested Citation

  • Jülch, Verena, 2016. "Comparison of electricity storage options using levelized cost of storage (LCOS) method," Applied Energy, Elsevier, vol. 183(C), pages 1594-1606.
    • Handle: RePEc:eee:appene:v:183:y:2016:i:c:p:1594-1606
    DOI: 10.1016/j.apenergy.2016.08.165
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916312740
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2016.08.165?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. Parra, David & Norman, Stuart A. & Walker, Gavin S. & Gillott, Mark, 2016. "Optimum community energy storage system for demand load shifting," Applied Energy, Elsevier, vol. 174(C), pages 130-143.
    2. Battke, Benedikt & Schmidt, Tobias S. & Grosspietsch, David & Hoffmann, Volker H., 2013. "A review and probabilistic model of lifecycle costs of stationary batteries in multiple applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 240-250.
    3. Locatelli, Giorgio & Palerma, Emanuele & Mancini, Mauro, 2015. "Assessing the economics of large Energy Storage Plants with an optimisation methodology," Energy, Elsevier, vol. 83(C), pages 15-28.
    4. 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.
    5. Kaldellis, J.K. & Zafirakis, D., 2007. "Optimum energy storage techniques for the improvement of renewable energy sources-based electricity generation economic efficiency," Energy, Elsevier, vol. 32(12), pages 2295-2305.
    6. Madlener, Reinhard & Latz, Jochen, 2013. "Economics of centralized and decentralized compressed air energy storage for enhanced grid integration of wind power," Applied Energy, Elsevier, vol. 101(C), pages 299-309.
    7. Loisel, Rodica & Mercier, Arnaud & Gatzen, Christoph & Elms, Nick & Petric, Hrvoje, 2010. "Valuation framework for large scale electricity storage in a case with wind curtailment," Energy Policy, Elsevier, vol. 38(11), pages 7323-7337, November.
    8. Ibrahim, H. & Ilinca, A. & Perron, J., 2008. "Energy storage systems--Characteristics and comparisons," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1221-1250, June.
    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. Maximilian Parzen & Fabian Neumann & Addrian H. Van Der Weijde & Daniel Friedrich & Aristides Kiprakis, 2021. "Beyond cost reduction: Improving the value of energy storage in electricity systems," Papers 2101.10092, arXiv.org, revised Jul 2022.
    2. Zhang, Han & Wang, Liang & Lin, Xipeng & Chen, Haisheng, 2023. "Parametric optimisation and thermo-economic analysis of Joule–Brayton cycle-based pumped thermal electricity storage system under various charging–discharging periods," Energy, Elsevier, vol. 263(PE).
    3. Coriolano Salvini & Ambra Giovannelli, 2022. "Techno-Economic Comparison of Utility-Scale Compressed Air and Electro-Chemical Storage Systems," Energies, MDPI, vol. 15(18), pages 1-16, September.
    4. O'Shaughnessy, Eric & Cutler, Dylan & Ardani, Kristen & Margolis, Robert, 2018. "Solar plus: A review of the end-user economics of solar PV integration with storage and load control in residential buildings," Applied Energy, Elsevier, vol. 228(C), pages 2165-2175.

    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. Gallo, A.B. & Simões-Moreira, J.R. & Costa, H.K.M. & Santos, M.M. & Moutinho dos Santos, E., 2016. "Energy storage in the energy transition context: A technology review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 800-822.
    2. 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.
    3. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    4. Ding, Jie & Xu, Yujie & Chen, Haisheng & Sun, Wenwen & Hu, Shan & Sun, Shuang, 2019. "Value and economic estimation model for grid-scale energy storage in monopoly power markets," Applied Energy, Elsevier, vol. 240(C), pages 986-1002.
    5. Haas, J. & Cebulla, F. & Cao, K. & Nowak, W. & Palma-Behnke, R. & Rahmann, C. & Mancarella, P., 2017. "Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 603-619.
    6. Kapila, Sahil & Oni, Abayomi Olufemi & Kumar, Amit, 2017. "The development of techno-economic models for large-scale energy storage systems," Energy, Elsevier, vol. 140(P1), pages 656-672.
    7. Parra, David & Swierczynski, Maciej & Stroe, Daniel I. & Norman, Stuart.A. & Abdon, Andreas & Worlitschek, Jörg & O’Doherty, Travis & Rodrigues, Lucelia & Gillott, Mark & Zhang, Xiaojin & Bauer, Chris, 2017. "An interdisciplinary review of energy storage for communities: Challenges and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 730-749.
    8. Olabi, A.G. & Onumaegbu, C. & Wilberforce, Tabbi & Ramadan, Mohamad & Abdelkareem, Mohammad Ali & Al – Alami, Abdul Hai, 2021. "Critical review of energy storage systems," Energy, Elsevier, vol. 214(C).
    9. Xiaotong Qie & Rui Zhang & Yanyong Hu & Xialing Sun & Xue Chen, 2021. "A Multi-Criteria Decision-Making Approach for Energy Storage Technology Selection Based on Demand," Energies, MDPI, vol. 14(20), pages 1-29, October.
    10. Rahman, Md Mustafizur & Oni, Abayomi Olufemi & Gemechu, Eskinder & Kumar, Amit, 2021. "The development of techno-economic models for the assessment of utility-scale electro-chemical battery storage systems," Applied Energy, Elsevier, vol. 283(C).
    11. Zhang, Ziyu & Ding, Tao & Zhou, Quan & Sun, Yuge & Qu, Ming & Zeng, Ziyu & Ju, Yuntao & Li, Li & Wang, Kang & Chi, Fangde, 2021. "A review of technologies and applications on versatile energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    12. Zafirakis, Dimitrios & Chalvatzis, Konstantinos J. & Baiocchi, Giovanni & Daskalakis, George, 2013. "Modeling of financial incentives for investments in energy storage systems that promote the large-scale integration of wind energy," Applied Energy, Elsevier, vol. 105(C), pages 138-154.
    13. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    14. 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.
    15. Terlouw, Tom & AlSkaif, Tarek & Bauer, Christian & van Sark, Wilfried, 2019. "Optimal energy management in all-electric residential energy systems with heat and electricity storage," Applied Energy, Elsevier, vol. 254(C).
    16. Rabiee, Abdorreza & Khorramdel, Hossein & Aghaei, Jamshid, 2013. "A review of energy storage systems in microgrids with wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 316-326.
    17. Pusceddu, Elian & Zakeri, Behnam & Castagneto Gissey, Giorgio, 2021. "Synergies between energy arbitrage and fast frequency response for battery energy storage systems," Applied Energy, Elsevier, vol. 283(C).
    18. Jannelli, E. & Minutillo, M. & Lubrano Lavadera, A. & Falcucci, G., 2014. "A small-scale CAES (compressed air energy storage) system for stand-alone renewable energy power plant for a radio base station: A sizing-design methodology," Energy, Elsevier, vol. 78(C), pages 313-322.
    19. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    20. Martin, Nigel & Rice, John, 2021. "Power outages, climate events and renewable energy: Reviewing energy storage policy and regulatory options for Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(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:183:y:2016:i:c:p:1594-1606. 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.