IDEAS home Printed from https://ideas.repec.org/a/gam/jchals/v5y2014i2p473-503d43510.html
   My bibliography  Save this article

Optimisation of Storage for Concentrated Solar Power Plants

Author

Listed:
  • Luigi Cirocco

    (Centre for Industrial and Applied Mathematics, School of Information Technology and Mathematics, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia)

  • Martin Belusko

    (Barbara Hardy Institute, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia)

  • Frank Bruno

    (Barbara Hardy Institute, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia)

  • John Boland

    (Centre for Industrial and Applied Mathematics, School of Information Technology and Mathematics, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia)

  • Peter Pudney

    (Centre for Industrial and Applied Mathematics, School of Information Technology and Mathematics, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095, Australia)

Abstract

The proliferation of non-scheduled generation from renewable electrical energy sources such concentrated solar power (CSP) presents a need for enabling scheduled generation by incorporating energy storage; either via directly coupled Thermal Energy Storage (TES) or Electrical Storage Systems (ESS) distributed within the electrical network or grid. The challenges for 100% renewable energy generation are: to minimise capitalisation cost and to maximise energy dispatch capacity. The aims of this review article are twofold: to review storage technologies and to survey the most appropriate optimisation techniques to determine optimal operation and size of storage of a system to operate in the Australian National Energy Market (NEM). Storage technologies are reviewed to establish indicative characterisations of energy density, conversion efficiency, charge/discharge rates and costings. A partitioning of optimisation techniques based on methods most appropriate for various time scales is performed: from “whole of year”, seasonal, monthly, weekly and daily averaging to those best suited matching the NEM bid timing of five minute dispatch bidding, averaged on the half hour as the trading settlement spot price. Finally, a selection of the most promising research directions and methods to determine the optimal operation and sizing of storage for renewables in the grid is presented.

Suggested Citation

  • Luigi Cirocco & Martin Belusko & Frank Bruno & John Boland & Peter Pudney, 2014. "Optimisation of Storage for Concentrated Solar Power Plants," Challenges, MDPI, vol. 5(2), pages 1-31, December.
  • Handle: RePEc:gam:jchals:v:5:y:2014:i:2:p:473-503:d:43510
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2078-1547/5/2/473/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2078-1547/5/2/473/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huva, Robert & Dargaville, Roger & Caine, Simon, 2012. "Prototype large-scale renewable energy system optimisation for Victoria, Australia," Energy, Elsevier, vol. 41(1), pages 326-334.
    2. Rob J Hyndman & Shu Fan, 2008. "Density forecasting for long-term peak electricity demand," Monash Econometrics and Business Statistics Working Papers 6/08, Monash University, Department of Econometrics and Business Statistics.
    3. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    4. Delucchi, Mark A. & Jacobson, Mark Z., 2011. "Providing all global energy with wind, water, and solar power, Part II: Reliability, system and transmission costs, and policies," Energy Policy, Elsevier, vol. 39(3), pages 1170-1190, March.
    5. Elliston, Ben & Diesendorf, Mark & MacGill, Iain, 2012. "Simulations of scenarios with 100% renewable electricity in the Australian National Electricity Market," Energy Policy, Elsevier, vol. 45(C), pages 606-613.
    6. Grossmann, Wolf D. & Grossmann, Iris & Steininger, Karl W., 2013. "Distributed solar electricity generation across large geographic areas, Part I: A method to optimize site selection, generation and storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 831-843.
    7. Elliston, Ben & MacGill, Iain & Diesendorf, Mark, 2013. "Least cost 100% renewable electricity scenarios in the Australian National Electricity Market," Energy Policy, Elsevier, vol. 59(C), pages 270-282.
    8. Liu, Ming & Saman, Wasim & Bruno, Frank, 2012. "Review on storage materials and thermal performance enhancement techniques for high temperature phase change thermal storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2118-2132.
    9. Paul L. Joskow, 2011. "Comparing the Costs of Intermittent and Dispatchable Electricity Generating Technologies," American Economic Review, American Economic Association, vol. 101(3), pages 238-241, May.
    10. Lizarraga-Garcia, Enrique & Ghobeity, Amin & Totten, Mark & Mitsos, Alexander, 2013. "Optimal operation of a solar-thermal power plant with energy storage and electricity buy-back from grid," Energy, Elsevier, vol. 51(C), pages 61-70.
    11. 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.
    12. Sharma, Naveen & Varun, & Siddhartha,, 2012. "Stochastic techniques used for optimization in solar systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1399-1411.
    13. Jacobson, Mark Z. & Delucchi, Mark A., 2011. "Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials," Energy Policy, Elsevier, vol. 39(3), pages 1154-1169, March.
    14. 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.
    15. Kim, Jae Ho & Powell, Warren B., 2011. "An hour-ahead prediction model for heavy-tailed spot prices," Energy Economics, Elsevier, vol. 33(6), pages 1252-1266.
    16. Malagueta, Diego & Szklo, Alexandre & Soria, Rafael & Dutra, Ricardo & Schaeffer, Roberto & Moreira Cesar Borba, Bruno Soares, 2014. "Potential and impacts of Concentrated Solar Power (CSP) integration in the Brazilian electric power system," Renewable Energy, Elsevier, vol. 68(C), pages 223-235.
    17. Magnano, L. & Boland, J.W., 2007. "Generation of synthetic sequences of electricity demand: Application in South Australia," Energy, Elsevier, vol. 32(11), pages 2230-2243.
    18. Tay, N.H.S. & Belusko, M. & Bruno, F., 2012. "An effectiveness-NTU technique for characterising tube-in-tank phase change thermal energy storage systems," Applied Energy, Elsevier, vol. 91(1), pages 309-319.
    19. Usaola, Julio, 2012. "Participation of CSP plants in the reserve markets: A new challenge for regulators," Energy Policy, Elsevier, vol. 49(C), pages 562-571.
    20. Jae Ho Kim & Warren B. Powell, 2011. "Optimal Energy Commitments with Storage and Intermittent Supply," Operations Research, INFORMS, vol. 59(6), pages 1347-1360, December.
    21. Boland, John & Ridley, Barbara & Brown, Bruce, 2008. "Models of diffuse solar radiation," Renewable Energy, Elsevier, vol. 33(4), pages 575-584.
    22. Diagne, Maimouna & David, Mathieu & Lauret, Philippe & Boland, John & Schmutz, Nicolas, 2013. "Review of solar irradiance forecasting methods and a proposition for small-scale insular grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 65-76.
    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. Tlhalerwa, Keabile & Mulalu, Mulalu, 2019. "Assessment of the concentrated solar power potential in Botswana," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 294-306.
    2. Al-Nimr, Moh’d A. & Tashtoush, Bourhan M. & Khasawneh, Mohammad A. & Al-Keyyam, Ibrahim, 2017. "A hybrid concentrated solar thermal collector/thermo-electric generation system," Energy, Elsevier, vol. 134(C), pages 1001-1012.
    3. Mahmoudinezhad, S. & Rezania, A. & Cotfas, D.T. & Cotfas, P.A. & Rosendahl, L.A., 2018. "Experimental and numerical investigation of hybrid concentrated photovoltaic – Thermoelectric module under low solar concentration," Energy, Elsevier, vol. 159(C), pages 1123-1131.

    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. Lenzen, Manfred & McBain, Bonnie & Trainer, Ted & Jütte, Silke & Rey-Lescure, Olivier & Huang, Jing, 2016. "Simulating low-carbon electricity supply for Australia," Applied Energy, Elsevier, vol. 179(C), pages 553-564.
    2. Wu, Yunyang & Reedman, Luke J. & Barrett, Mark A. & Spataru, Catalina, 2018. "Comparison of CST with different hours of storage in the Australian National Electricity Market," Renewable Energy, Elsevier, vol. 122(C), pages 487-496.
    3. Heard, B.P. & Brook, B.W. & Wigley, T.M.L. & Bradshaw, C.J.A., 2017. "Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1122-1133.
    4. Howard, Bahareh Sara & Hamilton, Nicholas E. & Diesendorf, Mark & Wiedmann, Thomas, 2018. "Modeling the carbon budget of the Australian electricity sector's transition to renewable energy," Renewable Energy, Elsevier, vol. 125(C), pages 712-728.
    5. Diesendorf, Mark & Elliston, Ben, 2018. "The feasibility of 100% renewable electricity systems: A response to critics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 318-330.
    6. Yousefzadeh, Moslem & Lenzen, Manfred, 2019. "Performance of concentrating solar power plants in a whole-of-grid context," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    7. Elliston, Ben & MacGill, Iain & Diesendorf, Mark, 2014. "Comparing least cost scenarios for 100% renewable electricity with low emission fossil fuel scenarios in the Australian National Electricity Market," Renewable Energy, Elsevier, vol. 66(C), pages 196-204.
    8. Riesz, Jenny & Elliston, Ben, 2016. "Research and deployment priorities for renewable technologies: Quantifying the importance of various renewable technologies for low cost, high renewable electricity systems in an Australian case study," Energy Policy, Elsevier, vol. 98(C), pages 298-308.
    9. Olav H. Hohmeyer & Sönke Bohm, 2015. "Trends toward 100% renewable electricity supply in Germany and Europe: a paradigm shift in energy policies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 4(1), pages 74-97, January.
    10. Maruf, Md. Nasimul Islam, 2021. "Open model-based analysis of a 100% renewable and sector-coupled energy system–The case of Germany in 2050," Applied Energy, Elsevier, vol. 288(C).
    11. Kiwan, Suhil & Al-Gharibeh, Elyasa, 2020. "Jordan toward a 100% renewable electricity system," Renewable Energy, Elsevier, vol. 147(P1), pages 423-436.
    12. Elliston, Ben & MacGill, Iain & Diesendorf, Mark, 2013. "Least cost 100% renewable electricity scenarios in the Australian National Electricity Market," Energy Policy, Elsevier, vol. 59(C), pages 270-282.
    13. Weitzel, Timm & Glock, Christoph H., 2018. "Energy management for stationary electric energy storage systems: A systematic literature review," European Journal of Operational Research, Elsevier, vol. 264(2), pages 582-606.
    14. 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).
    15. Hasan, Kazi Nazmul & Saha, Tapan Kumar & Eghbal, Mehdi, 2014. "Investigating the priority of market participants for low emission generation entry into the Australian grid," Energy, Elsevier, vol. 71(C), pages 445-455.
    16. Rodriguez, Rolando A. & Becker, Sarah & Greiner, Martin, 2015. "Cost-optimal design of a simplified, highly renewable pan-European electricity system," Energy, Elsevier, vol. 83(C), pages 658-668.
    17. Kengo Suzuki & Ryohei Ishiwata, 2022. "Impact of a Carbon Tax on Energy Transition in a Deregulated Market: A Game-Based Experimental Approach," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    18. Grossmann, Wolf D. & Grossmann, Iris & Steininger, Karl W., 2014. "Solar electricity generation across large geographic areas, Part II: A Pan-American energy system based on solar," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 983-993.
    19. Carlos Castro & Iñigo Capellán-Pérez, 2018. "Concentrated Solar Power: Actual Performance and Foreseeable Future in High Penetration Scenarios of Renewable Energies," Biophysical Economics and Resource Quality, Springer, vol. 3(3), pages 1-20, September.
    20. Jacobson, Mark Z. & Howarth, Robert W. & Delucchi, Mark A. & Scobie, Stan R. & Barth, Jannette M. & Dvorak, Michael J. & Klevze, Megan & Katkhuda, Hind & Miranda, Brian & Chowdhury, Navid A. & Jones, , 2013. "Response to comment on paper examining the feasibility of changing New York state's energy infrastructure to one derived from wind, water, and sunlight," Energy Policy, Elsevier, vol. 62(C), pages 1212-1215.

    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:gam:jchals:v:5:y:2014:i:2:p:473-503:d:43510. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.