IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v126y2017icp430-443.html
   My bibliography  Save this article

Dynamic energy, exergy and market modeling of a High Temperature Heat and Power Storage System

Author

Listed:
  • Arabkoohsar, A.
  • Andresen, G.B.

Abstract

A novel energy storage system that produces both electricity and heat at high efficiencies and takes advantage of a high temperature hot rock cavern thermal energy storage was recently introduced and designed. This study aims at evaluating the performance of the system in terms of energy and exergy efficiencies under realistic operational conditions where the storage supports a number of wind turbines over a long period. The potential value creation of the energy storage system in the local electricity and heat markets is also assessed. The Western part of Denmark with its high number of wind turbine plants and flexible electricity and heat markets have been chosen for the case study of this work. Having both forecasted and realized wind power generation as well as energy prices for the recent years, the system is designed with rigor and a smart bid strategy for the power plant equipped with the energy storage unit for day-ahead and intra-day markets is determined. The results show that the system is able to compensate the fluctuations of wind power plants, and present high annual overall energy and electricity efficiencies of 80.2% and 31.4% and exergy efficiency of 56.1%.

Suggested Citation

  • Arabkoohsar, A. & Andresen, G.B., 2017. "Dynamic energy, exergy and market modeling of a High Temperature Heat and Power Storage System," Energy, Elsevier, vol. 126(C), pages 430-443.
  • Handle: RePEc:eee:energy:v:126:y:2017:i:c:p:430-443
    DOI: 10.1016/j.energy.2017.03.065
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217304401
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2017.03.065?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. Arabkoohsar, A. & Machado, L. & Farzaneh-Gord, M. & Koury, R.N.N., 2015. "Thermo-economic analysis and sizing of a PV plant equipped with a compressed air energy storage system," Renewable Energy, Elsevier, vol. 83(C), pages 491-509.
    2. Yekini Suberu, Mohammed & Wazir Mustafa, Mohd & Bashir, Nouruddeen, 2014. "Energy storage systems for renewable energy power sector integration and mitigation of intermittency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 499-514.
    3. Florian Ziel & Rick Steinert & Sven Husmann, 2015. "Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity markets," Papers 1501.00818, arXiv.org, revised Dec 2015.
    4. Andresen, Gorm B. & Rodriguez, Rolando A. & Becker, Sarah & Greiner, Martin, 2014. "The potential for arbitrage of wind and solar surplus power in Denmark," Energy, Elsevier, vol. 76(C), pages 49-58.
    5. Arabkoohsar, A. & Machado, L. & Farzaneh-Gord, M. & Koury, R.N.N., 2015. "The first and second law analysis of a grid connected photovoltaic plant equipped with a compressed air energy storage unit," Energy, Elsevier, vol. 87(C), pages 520-539.
    6. Zhao, Pan & Wang, Jiangfeng & Dai, Yiping, 2015. "Capacity allocation of a hybrid energy storage system for power system peak shaving at high wind power penetration level," Renewable Energy, Elsevier, vol. 75(C), pages 541-549.
    7. Ziel, Florian & Steinert, Rick & Husmann, Sven, 2015. "Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity markets," Energy Economics, Elsevier, vol. 51(C), pages 430-444.
    8. Li, Gang, 2016. "Sensible heat thermal storage energy and exergy performance evaluations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 897-923.
    9. Kyriakopoulos, Grigorios L. & Arabatzis, Garyfallos, 2016. "Electrical energy storage systems in electricity generation: Energy policies, innovative technologies, and regulatory regimes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1044-1067.
    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. Arabkoohsar, A. & Andresen, G.B., 2017. "Thermodynamics and economic performance comparison of three high-temperature hot rock cavern based energy storage concepts," Energy, Elsevier, vol. 132(C), pages 12-21.
    2. Lasemi, Mohammad Ali & Arabkoohsar, Ahmad, 2020. "Optimal operating strategy of high-temperature heat and power storage system coupled with a wind farm in energy market," Energy, Elsevier, vol. 210(C).
    3. Sadi, M. & Arabkoohsar, A., 2019. "Exergoeconomic analysis of a combined solar-waste driven power plant," Renewable Energy, Elsevier, vol. 141(C), pages 883-893.
    4. Hussam, Wisam K. & Rahbari, Hamid Reza & Arabkoohsar, Ahmad, 2020. "Off-design operation analysis of air-based high-temperature heat and power storage," Energy, Elsevier, vol. 196(C).
    5. Alsagri, Ali Sulaiman, 2023. "An innovative design of solar-assisted carnot battery for multigeneration of power, cooling, and process heating: Techno-economic analysis and optimization," Renewable Energy, Elsevier, vol. 210(C), pages 375-385.
    6. Sadi, Meisam & Arabkoohsar, Ahmad, 2020. "Exergy, economic and environmental analysis of a solar-assisted cold supply machine for district energy systems," Energy, Elsevier, vol. 206(C).
    7. Berrada, Asmae & Loudiyi, Khalid & Garde, Raquel, 2017. "Dynamic modeling of gravity energy storage coupled with a PV energy plant," Energy, Elsevier, vol. 134(C), pages 323-335.
    8. Wang, Chaoyang & Liu, Ming & Zhao, Yongliang & Qiao, Yongqiang & Yan, Junjie, 2018. "Entropy generation analysis on a heat exchanger with different design and operation factors during transient processes," Energy, Elsevier, vol. 158(C), pages 330-342.
    9. Lu, Xiaohui & Yang, Yang & Wang, Peifang & Fan, Yiming & Yu, Fangzhong & Zafetti, Nicholas, 2021. "A new converged Emperor Penguin Optimizer for biding strategy in a day-ahead deregulated market clearing price: A case study in China," Energy, Elsevier, vol. 227(C).
    10. Arabkoohsar, Ahmad & Rahrabi, Hamid Reza & Alsagri, Ali Sulaiman & Alrobaian, Abdulrahman A., 2020. "Impact of Off-design operation on the effectiveness of a low-temperature compressed air energy storage system," Energy, Elsevier, vol. 197(C).
    11. Arabkoohsar, A. & Dremark-Larsen, M. & Lorentzen, R. & Andresen, G.B., 2017. "Subcooled compressed air energy storage system for coproduction of heat, cooling and electricity," Applied Energy, Elsevier, vol. 205(C), pages 602-614.

    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. Arabkoohsar, A. & Andresen, G.B., 2017. "Design and analysis of the novel concept of high temperature heat and power storage," Energy, Elsevier, vol. 126(C), pages 21-33.
    2. Arabkoohsar, A. & Andresen, G.B., 2017. "Thermodynamics and economic performance comparison of three high-temperature hot rock cavern based energy storage concepts," Energy, Elsevier, vol. 132(C), pages 12-21.
    3. Arabkoohsar, Ahmad & Rahrabi, Hamid Reza & Alsagri, Ali Sulaiman & Alrobaian, Abdulrahman A., 2020. "Impact of Off-design operation on the effectiveness of a low-temperature compressed air energy storage system," Energy, Elsevier, vol. 197(C).
    4. Chong, Lee Wai & Wong, Yee Wan & Rajkumar, Rajprasad Kumar & Rajkumar, Rajpartiban Kumar & Isa, Dino, 2016. "Hybrid energy storage systems and control strategies for stand-alone renewable energy power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 174-189.
    5. Arabkoohsar, A. & Dremark-Larsen, M. & Lorentzen, R. & Andresen, G.B., 2017. "Subcooled compressed air energy storage system for coproduction of heat, cooling and electricity," Applied Energy, Elsevier, vol. 205(C), pages 602-614.
    6. Hussam, Wisam K. & Rahbari, Hamid Reza & Arabkoohsar, Ahmad, 2020. "Off-design operation analysis of air-based high-temperature heat and power storage," Energy, Elsevier, vol. 196(C).
    7. Ruixiong Li & Huanran Wang & Erren Yao & Shuyu Zhang, 2016. "Thermo-Economic Comparison and Parametric Optimizations among Two Compressed Air Energy Storage System Based on Kalina Cycle and ORC," Energies, MDPI, vol. 10(1), pages 1-19, December.
    8. Christopher Kath & Florian Ziel, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Papers 1811.08604, arXiv.org.
    9. Galarneau-Vincent, Rémi & Gauthier, Geneviève & Godin, Frédéric, 2023. "Foreseeing the worst: Forecasting electricity DART spikes," Energy Economics, Elsevier, vol. 119(C).
    10. Kath, Christopher & Ziel, Florian, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Energy Economics, Elsevier, vol. 76(C), pages 411-423.
    11. Narajewski, Michał & Ziel, Florian, 2020. "Econometric modelling and forecasting of intraday electricity prices," Journal of Commodity Markets, Elsevier, vol. 19(C).
    12. Tschora, Léonard & Pierre, Erwan & Plantevit, Marc & Robardet, Céline, 2022. "Electricity price forecasting on the day-ahead market using machine learning," Applied Energy, Elsevier, vol. 313(C).
    13. Sergei Kulakov, 2020. "X-Model: Further Development and Possible Modifications," Forecasting, MDPI, vol. 2(1), pages 1-16, February.
    14. Bhatia, Kushagra & Mittal, Rajat & Varanasi, Jyothi & Tripathi, M.M., 2021. "An ensemble approach for electricity price forecasting in markets with renewable energy resources," Utilities Policy, Elsevier, vol. 70(C).
    15. Lago, Jesus & Marcjasz, Grzegorz & De Schutter, Bart & Weron, Rafał, 2021. "Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark," Applied Energy, Elsevier, vol. 293(C).
    16. Kakran, Sandeep & Chanana, Saurabh, 2018. "Smart operations of smart grids integrated with distributed generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 524-535.
    17. Zorana Božić & Dušan Dobromirov & Jovana Arsić & Mladen Radišić & Beata Ślusarczyk, 2020. "Power Exchange Prices: Comparison of Volatility in European Markets," Energies, MDPI, vol. 13(21), pages 1-15, October.
    18. Léonard Tschora & Erwan Pierre & Marc Plantevit & Céline Robardet, 2022. "Electricity price forecasting on the day-ahead market using machine learning," Post-Print hal-03621974, HAL.
    19. Suryanarayana, Gowri & Lago, Jesus & Geysen, Davy & Aleksiejuk, Piotr & Johansson, Christian, 2018. "Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods," Energy, Elsevier, vol. 157(C), pages 141-149.
    20. Yiyuan Chen & Yufeng Wang & Jianhua Ma & Qun Jin, 2019. "BRIM: An Accurate Electricity Spot Price Prediction Scheme-Based Bidirectional Recurrent Neural Network and Integrated Market," Energies, MDPI, vol. 12(12), pages 1-18, June.

    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:energy:v:126:y:2017:i:c:p:430-443. 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.journals.elsevier.com/energy .

    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.