IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v216y2018icp694-708.html
   My bibliography  Save this article

Constrained multi-objective optimization of thermocline packed-bed thermal-energy storage

Author

Listed:
  • Marti, Jan
  • Geissbühler, Lukas
  • Becattini, Viola
  • Haselbacher, Andreas
  • Steinfeld, Aldo

Abstract

A constrained multi-objective optimization approach is applied to optimize the exergy efficiency and material costs of thermocline packed-bed thermal-energy storage systems using air as the heat-transfer fluid. The axisymmetric packed-bed’s height, top and bottom radii, insulation-layer thicknesses, and particle diameter were chosen as design variables. The competing objectives of maximizing the exergy efficiency and minimizing the material costs were treated by a Pareto front. The Pareto front allows identifying the most efficient design for a given cost or the cheapest design for a given efficiency and is an important tool to find the best overall design of storage systems for a specific application. Constraints were imposed to obtain storage systems with specified capacities and limits on the air outflow temperatures during charging and discharging. The results showed that a storage shaped as a truncated cone with the smallest cross-section at the top has a higher exergy efficiency than storages shaped as cylinders or truncated cones with the largest cross-section at the top. The higher efficiency is attributed to the axial temperature distribution in the packed bed and the associated conduction heat losses across the insulated walls. The optimization of an industrial-scale storage allowed identifying a design with an exergy efficiency that was only 4.8% below that of the most efficient design, but a cost that was 81.3% lower than the cost of the most efficient design. Compared to brute-force design approaches, the optimization procedure can reduce the computational time by 91–99%.

Suggested Citation

  • Marti, Jan & Geissbühler, Lukas & Becattini, Viola & Haselbacher, Andreas & Steinfeld, Aldo, 2018. "Constrained multi-objective optimization of thermocline packed-bed thermal-energy storage," Applied Energy, Elsevier, vol. 216(C), pages 694-708.
    • Handle: RePEc:eee:appene:v:216:y:2018:i:c:p:694-708
    DOI: 10.1016/j.apenergy.2017.12.072
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917317877
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2017.12.072?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. Chang, Zheshao & Li, Xin & Xu, Chao & Chang, Chun & Wang, Zhifeng & Zhang, Qiangqiang & Liao, Zhirong & Li, Qing, 2016. "The effect of the physical boundary conditions on the thermal performance of molten salt thermocline tank," Renewable Energy, Elsevier, vol. 96(PA), pages 190-202.
    2. Wang, K.Y. & West, R.E. & Kreith, F. & Lynn, P., 1985. "High-temperature sensible-heat storage options," Energy, Elsevier, vol. 10(10), pages 1165-1175.
    3. Luis Rios & Nikolaos Sahinidis, 2013. "Derivative-free optimization: a review of algorithms and comparison of software implementations," Journal of Global Optimization, Springer, vol. 56(3), pages 1247-1293, July.
    4. Zanganeh, G. & Pedretti, A. & Haselbacher, A. & Steinfeld, A., 2015. "Design of packed bed thermal energy storage systems for high-temperature industrial process heat," Applied Energy, Elsevier, vol. 137(C), pages 812-822.
    5. Toffolo, A. & Lazzaretto, A., 2002. "Evolutionary algorithms for multi-objective energetic and economic optimization in thermal system design," Energy, Elsevier, vol. 27(6), pages 549-567.
    6. Ammar, A.S.A. & Ghoneim, A.A., 1991. "Optimization of a sensible heat storage unit packed with spheres of a local material," Renewable Energy, Elsevier, vol. 1(1), pages 91-95.
    7. Zhang, H.L. & Baeyens, J. & Degrève, J. & Cacères, G., 2013. "Concentrated solar power plants: Review and design methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 466-481.
    8. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    9. Budt, Marcus & Wolf, Daniel & Span, Roland & Yan, Jinyue, 2016. "A review on compressed air energy storage: Basic principles, past milestones and recent developments," Applied Energy, Elsevier, vol. 170(C), pages 250-268.
    10. Flueckiger, Scott & Yang, Zhen & Garimella, Suresh V., 2011. "An integrated thermal and mechanical investigation of molten-salt thermocline energy storage," Applied Energy, Elsevier, vol. 88(6), pages 2098-2105, 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. Kasper, Lukas & Schwarzmayr, Paul & Birkelbach, Felix & Javernik, Florian & Schwaiger, Michael & Hofmann, René, 2024. "A digital twin-based adaptive optimization approach applied to waste heat recovery in green steel production: Development and experimental investigation," Applied Energy, Elsevier, vol. 353(PB).
    2. Trevisan, Silvia & Wang, Wujun & Guedez, Rafael & Laumert, Björn, 2022. "Experimental evaluation of an innovative radial-flow high-temperature packed bed thermal energy storage," Applied Energy, Elsevier, vol. 311(C).
    3. Schwarzmayr, Paul & Birkelbach, Felix & Walter, Heimo & Hofmann, René, 2024. "Exergy efficiency and thermocline degradation of a packed bed thermal energy storage in partial cycle operation: An experimental study," Applied Energy, Elsevier, vol. 360(C).
    4. Becattini, V. & Haselbacher, A., 2019. "Toward a new method for the design of combined sensible/latent thermal-energy storage using non-dimensional analysis," Applied Energy, Elsevier, vol. 247(C), pages 322-334.
    5. Gao, Long & Gegentana, & Liu, Zhongze & Sun, Baizhong & Che, Deyong & Li, Shaohua, 2020. "Multi-objective optimization of thermal performance of packed bed latent heat thermal storage system based on response surface method," Renewable Energy, Elsevier, vol. 153(C), pages 669-680.
    6. Yunshen Zhang & Yun Guo & Jiaao Zhu & Weijian Yuan & Feng Zhao, 2024. "New Advances in Materials, Applications, and Design Optimization of Thermocline Heat Storage: Comprehensive Review," Energies, MDPI, vol. 17(10), pages 1-41, May.
    7. Roos, Philipp & Haselbacher, Andreas, 2021. "Thermocline control through multi-tank thermal-energy storage systems," Applied Energy, Elsevier, vol. 281(C).
    8. Singh, Shobhana & Sørensen, Kim & Condra, Thomas & Batz, Søren Søndergaard & Kristensen, Kristian, 2019. "Investigation on transient performance of a large-scale packed-bed thermal energy storage," Applied Energy, Elsevier, vol. 239(C), pages 1114-1129.
    9. Calderón-Vásquez, Ignacio & Cortés, Eduardo & García, Jesús & Segovia, Valentina & Caroca, Alejandro & Sarmiento, Cristóbal & Barraza, Rodrigo & Cardemil, José M., 2021. "Review on modeling approaches for packed-bed thermal storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    10. Wang, Yang & Li, Heping & Ortega-Fernández, Iñigo & Huang, Xuefeng & Jiang, Bo & Bielsa, Daniel & Palomo, Elena, 2021. "The time-varying radiation applied in the temperature-sensitive reaction system stabilized with heat storage technology," Applied Energy, Elsevier, vol. 283(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. Ortega-Fernández, Iñigo & Zavattoni, Simone A. & Rodríguez-Aseguinolaza, Javier & D'Aguanno, Bruno & Barbato, Maurizio C., 2017. "Analysis of an integrated packed bed thermal energy storage system for heat recovery in compressed air energy storage technology," Applied Energy, Elsevier, vol. 205(C), pages 280-293.
    2. Chang, Zheshao & Li, Xin & Xu, Chao & Chang, Chun & Wang, Zhifeng & Zhang, Qiangqiang & Liao, Zhirong & Li, Qing, 2016. "The effect of the physical boundary conditions on the thermal performance of molten salt thermocline tank," Renewable Energy, Elsevier, vol. 96(PA), pages 190-202.
    3. Tehrani, S. Saeed Mostafavi & Taylor, Robert A. & Saberi, Pouya & Diarce, Gonzalo, 2016. "Design and feasibility of high temperature shell and tube latent heat thermal energy storage system for solar thermal power plants," Renewable Energy, Elsevier, vol. 96(PA), pages 120-136.
    4. Fasquelle, T. & Falcoz, Q. & Neveu, P. & Hoffmann, J.-F., 2018. "A temperature threshold evaluation for thermocline energy storage in concentrated solar power plants," Applied Energy, Elsevier, vol. 212(C), pages 1153-1164.
    5. Leszczyński, Jacek S. & Gryboś, Dominik & Markowski, Jan, 2023. "Analysis of optimal expansion dynamics in a reciprocating drive for a micro-CAES production system," Applied Energy, Elsevier, vol. 350(C).
    6. Kumar, Anil & Kim, Man-Hoe, 2017. "Solar air-heating system with packed-bed energy-storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 215-227.
    7. Sciacovelli, Adriano & Li, Yongliang & Chen, Haisheng & Wu, Yuting & Wang, Jihong & Garvey, Seamus & Ding, Yulong, 2017. "Dynamic simulation of Adiabatic Compressed Air Energy Storage (A-CAES) plant with integrated thermal storage – Link between components performance and plant performance," Applied Energy, Elsevier, vol. 185(P1), pages 16-28.
    8. Binghui Si & Zhichao Tian & Wenqiang Chen & Xing Jin & Xin Zhou & Xing Shi, 2018. "Performance Assessment of Algorithms for Building Energy Optimization Problems with Different Properties," Sustainability, MDPI, vol. 11(1), pages 1-22, December.
    9. Trevisan, Silvia & Wang, Wujun & Guedez, Rafael & Laumert, Björn, 2022. "Experimental evaluation of an innovative radial-flow high-temperature packed bed thermal energy storage," Applied Energy, Elsevier, vol. 311(C).
    10. Zhang, Huili & Benoit, Hadrien & Gauthier, Daniel & Degrève, Jan & Baeyens, Jan & López, Inmaculada Pérez & Hemati, Mehrdji & Flamant, Gilles, 2016. "Particle circulation loops in solar energy capture and storage: Gas–solid flow and heat transfer considerations," Applied Energy, Elsevier, vol. 161(C), pages 206-224.
    11. Bame, Aaron T. & Furner, Joseph & Hoag, Ian & Mohammadi, Kasra & Powell, Kody & Iverson, Brian D., 2022. "Optimization of solar-coal hybridization for low solar augmentation," Applied Energy, Elsevier, vol. 319(C).
    12. Si, Binghui & Tian, Zhichao & Jin, Xing & Zhou, Xin & Tang, Peng & Shi, Xing, 2016. "Performance indices and evaluation of algorithms in building energy efficient design optimization," Energy, Elsevier, vol. 114(C), pages 100-112.
    13. Attonaty, Kevin & Stouffs, Pascal & Pouvreau, Jérôme & Oriol, Jean & Deydier, Alexandre, 2019. "Thermodynamic analysis of a 200 MWh electricity storage system based on high temperature thermal energy storage," Energy, Elsevier, vol. 172(C), pages 1132-1143.
    14. Cocco, Daniele & Serra, Fabio, 2015. "Performance comparison of two-tank direct and thermocline thermal energy storage systems for 1 MWe class concentrating solar power plants," Energy, Elsevier, vol. 81(C), pages 526-536.
    15. Peng, Hao & Shan, Xuekun & Yang, Yu & Ling, Xiang, 2018. "A study on performance of a liquid air energy storage system with packed bed units," Applied Energy, Elsevier, vol. 211(C), pages 126-135.
    16. Miguel J. Prieto & Juan Á. Martínez & Rogelio Peón & Lourdes Á. Barcia & Fernando Nuño, 2017. "On the Convenience of Using Simulation Models to Optimize the Control Strategy of Molten-Salt Heat Storage Systems in Solar Thermal Power Plants," Energies, MDPI, vol. 10(7), pages 1-17, July.
    17. Okoroigwe, Edmund & Madhlopa, Amos, 2016. "An integrated combined cycle system driven by a solar tower: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 337-350.
    18. Benedek Kiss & Jose Dinis Silvestre & Rita Andrade Santos & Zsuzsa Szalay, 2021. "Environmental and Economic Optimisation of Buildings in Portugal and Hungary," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    19. Guariso, Giorgio & Sangiorgio, Matteo, 2019. "Multi-objective planning of building stock renovation," Energy Policy, Elsevier, vol. 130(C), pages 101-110.
    20. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.

    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:216:y:2018:i:c:p:694-708. 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.