IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v230y2018icp590-614.html
   My bibliography  Save this article

Thermal and mechanical analysis of a sodium-cooled solar receiver operating under a novel heliostat aiming point strategy

Author

Listed:
  • Conroy, Tim
  • Collins, Maurice N.
  • Fisher, James
  • Grimes, Ronan

Abstract

The nature in which a solar receiver in a concentrated solar power plant interacts with an accompanying heliostat field plays a significant role in plant performance and economics. An appropriate heat flux distribution should help deliver maximum receiver thermal performance, while minimising mechanical damage – thereby maximising power production and reducing costs. The current work presents an investigation into the thermal performance and mechanical reliability of a sodium-cooled solar receiver operating under heat flux profiles generated by a novel heliostat aiming strategy. A modification of the HFLCAL model is used to generate heat flux profiles for individual heliostats in a representative plant, and simulated annealing optimisation techniques are used to produce a novel heliostat aiming strategy. The importance of giving consideration to receiver limitations under non-uniform thermal boundary conditions in the development of a heliostat aiming strategy is demonstrated in this study, with mathematical optical, thermal, and mechanical models used to complete the analysis. An investigation has been conducted for a point-in-time resulting in maximum thermal loading conditions, with theoretical modelling techniques used to calculate receiver tube temperatures for aiming strategy yielded heat flux profiles, thereby allowing for the determination of heat losses and mechanical reliability through creep-fatigue damage. Results show that the simulated annealing algorithm can significantly improve heat flux homogeneity on the receiver, potentially reducing peak heat flux to less than 10% that of a single aiming point strategy, given an appropriate spillage allowance and aiming point grid size. A satisfactory configuration of spillage allowance and aiming grid size exists so as to supply maximum power to the receiver, while uniformly distributing the incident heat flux in order to meet mechanical reliability requirements. Based on the receiver design and conditions simulated in the analysis, a grid constructed of more than 81 aiming points (receiver area coverage of 32.7%), and an additional spillage allowance of 10% allows the receiver to deliver maximum power output while retaining mechanical durability through a 30 year plant life cycle.

Suggested Citation

  • Conroy, Tim & Collins, Maurice N. & Fisher, James & Grimes, Ronan, 2018. "Thermal and mechanical analysis of a sodium-cooled solar receiver operating under a novel heliostat aiming point strategy," Applied Energy, Elsevier, vol. 230(C), pages 590-614.
  • Handle: RePEc:eee:appene:v:230:y:2018:i:c:p:590-614
    DOI: 10.1016/j.apenergy.2018.08.113
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918312832
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2018.08.113?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. Carrizosa, E. & Domínguez-Bravo, C. & Fernández-Cara, E. & Quero, M., 2015. "Optimization of multiple receivers solar power tower systems," Energy, Elsevier, vol. 90(P2), pages 2085-2093.
    2. Wang, Kun & He, Ya-Ling & Xue, Xiao-Dai & Du, Bao-Cun, 2017. "Multi-objective optimization of the aiming strategy for the solar power tower with a cavity receiver by using the non-dominated sorting genetic algorithm," Applied Energy, Elsevier, vol. 205(C), pages 399-416.
    3. Li, Xin & Kong, Weiqiang & Wang, Zhifeng & Chang, Chun & Bai, Fengwu, 2010. "Thermal model and thermodynamic performance of molten salt cavity receiver," Renewable Energy, Elsevier, vol. 35(5), pages 981-988.
    4. Yu, Qiang & Wang, Zhifeng & Xu, Ershu, 2014. "Analysis and improvement of solar flux distribution inside a cavity receiver based on multi-focal points of heliostat field," Applied Energy, Elsevier, vol. 136(C), pages 417-430.
    5. Sánchez-González, Alberto & Rodríguez-Sánchez, María Reyes & Santana, Domingo, 2018. "Aiming factor to flatten the flux distribution on cylindrical receivers," Energy, Elsevier, vol. 153(C), pages 113-125.
    6. 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.
    7. Chang, Zheshao & Li, Xin & Xu, Chao & Chang, Chun & Wang, Zhifeng, 2014. "Numerical simulation on the thermal performance of a solar molten salt cavity receiver," Renewable Energy, Elsevier, vol. 69(C), pages 324-335.
    8. Ho, Clifford K. & Iverson, Brian D., 2014. "Review of high-temperature central receiver designs for concentrating solar power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 835-846.
    9. Sánchez-González, Alberto & Santana, Domingo, 2015. "Solar flux distribution on central receivers: A projection method from analytic function," Renewable Energy, Elsevier, vol. 74(C), pages 576-587.
    10. Collado, Francisco J. & Guallar, Jesús, 2013. "A review of optimized design layouts for solar power tower plants with campo code," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 142-154.
    11. Vignarooban, K. & Xu, Xinhai & Arvay, A. & Hsu, K. & Kannan, A.M., 2015. "Heat transfer fluids for concentrating solar power systems – A review," Applied Energy, Elsevier, vol. 146(C), pages 383-396.
    12. Liao, Zhirong & Li, Xin & Xu, Chao & Chang, Chun & Wang, Zhifeng, 2014. "Allowable flux density on a solar central receiver," Renewable Energy, Elsevier, vol. 62(C), pages 747-753.
    13. Tian, Y. & Zhao, C.Y., 2013. "A review of solar collectors and thermal energy storage in solar thermal applications," Applied Energy, Elsevier, vol. 104(C), pages 538-553.
    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. Conroy, Tim & Collins, Maurice N. & Grimes, Ronan, 2019. "Sodium receiver designs for integration with high temperature power cycles," Energy, Elsevier, vol. 187(C).
    2. Laporte-Azcué, M. & Rodríguez-Sánchez, M.R. & González-Gómez, P.A. & Santana, D., 2021. "Assessment of the time resolution used to estimate the central solar receiver lifetime," Applied Energy, Elsevier, vol. 301(C).
    3. Zeng, Zhichen & Ni, Dong & Xiao, Gang, 2022. "Real-time heliostat field aiming strategy optimization based on reinforcement learning," Applied Energy, Elsevier, vol. 307(C).
    4. García, Jesús & Barraza, Rodrigo & Soo Too, Yen Chean & Vásquez-Padilla, Ricardo & Acosta, David & Estay, Danilo & Valdivia, Patricio, 2022. "Transient simulation of a control strategy for solar receivers based on mass flow valves adjustments and heliostats aiming," Renewable Energy, Elsevier, vol. 185(C), pages 1221-1244.
    5. García, Jesús & Barraza, Rodrigo & Soo Too, Yen Chean & Vásquez Padilla, Ricardo & Acosta, David & Estay, Danilo & Valdivia, Patricio, 2020. "Aiming clusters of heliostats over solar receivers for distributing heat flux using one variable per group," Renewable Energy, Elsevier, vol. 160(C), pages 584-596.
    6. Wang, Shuang & Asselineau, Charles-Alexis & Fontalvo, Armando & Wang, Ye & Logie, William & Pye, John & Coventry, Joe, 2023. "Co-optimisation of the heliostat field and receiver for concentrated solar power plants," Applied Energy, Elsevier, vol. 348(C).
    7. Conroy, Tim & Collins, Maurice N. & Grimes, Ronan, 2020. "A review of steady-state thermal and mechanical modelling on tubular solar receivers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(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. Conroy, Tim & Collins, Maurice N. & Grimes, Ronan, 2020. "A review of steady-state thermal and mechanical modelling on tubular solar receivers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    2. Wang, Kun & He, Ya-Ling & Qiu, Yu & Zhang, Yuwen, 2016. "A novel integrated simulation approach couples MCRT and Gebhart methods to simulate solar radiation transfer in a solar power tower system with a cavity receiver," Renewable Energy, Elsevier, vol. 89(C), pages 93-107.
    3. Zheng, Zhang-Jing & Li, Ming-Jia & He, Ya-Ling, 2017. "Thermal analysis of solar central receiver tube with porous inserts and non-uniform heat flux," Applied Energy, Elsevier, vol. 185(P2), pages 1152-1161.
    4. Huang, Weidong & Yu, Liang & Hu, Peng, 2019. "An analytical solution for the solar flux density produced by a round focusing heliostat," Renewable Energy, Elsevier, vol. 134(C), pages 306-320.
    5. Xu, Xinhai & Vignarooban, K. & Xu, Ben & Hsu, K. & Kannan, A.M., 2016. "Prospects and problems of concentrating solar power technologies for power generation in the desert regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1106-1131.
    6. Zhu, Han-Hui & Wang, Kun & He, Ya-Ling, 2017. "Thermodynamic analysis and comparison for different direct-heated supercritical CO2 Brayton cycles integrated into a solar thermal power tower system," Energy, Elsevier, vol. 140(P1), pages 144-157.
    7. Collado, Francisco J. & Guallar, Jesus, 2019. "Quick design of regular heliostat fields for commercial solar tower power plants," Energy, Elsevier, vol. 178(C), pages 115-125.
    8. Zeng, Zhichen & Ni, Dong & Xiao, Gang, 2022. "Real-time heliostat field aiming strategy optimization based on reinforcement learning," Applied Energy, Elsevier, vol. 307(C).
    9. Wang, Wujun & Fan, Liwu & Laumert, Björn, 2021. "A theoretical heat transfer analysis of different indirectly-irradiated receiver designs for high-temperature concentrating solar power applications," Renewable Energy, Elsevier, vol. 163(C), pages 1983-1993.
    10. Zhang, Qiangqiang & Li, Xin & Wang, Zhifeng & Li, Zhi & Liu, Hong, 2018. "Function testing and failure analysis of control system for molten salt receiver system," Renewable Energy, Elsevier, vol. 115(C), pages 260-268.
    11. Huang, Weidong & Sun, Lulening, 2016. "Solar flux density calculation for a heliostat with an elliptical Gaussian distribution source," Applied Energy, Elsevier, vol. 182(C), pages 434-441.
    12. Islam, Md Tasbirul & Huda, Nazmul & Abdullah, A.B. & Saidur, R., 2018. "A comprehensive review of state-of-the-art concentrating solar power (CSP) technologies: Current status and research trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 987-1018.
    13. García, Jesús & Soo Too, Yen Chean & Padilla, Ricardo Vasquez & Beath, Andrew & Kim, Jin-Soo & Sanjuan, Marco E., 2018. "Dynamic performance of an aiming control methodology for solar central receivers due to cloud disturbances," Renewable Energy, Elsevier, vol. 121(C), pages 355-367.
    14. Sánchez-González, Alberto & Rodríguez-Sánchez, María Reyes & Santana, Domingo, 2018. "Aiming factor to flatten the flux distribution on cylindrical receivers," Energy, Elsevier, vol. 153(C), pages 113-125.
    15. Conroy, Tim & Collins, Maurice N. & Grimes, Ronan, 2019. "Sodium receiver designs for integration with high temperature power cycles," Energy, Elsevier, vol. 187(C).
    16. Linares, José I. & Montes, María J. & Cantizano, Alexis & Sánchez, Consuelo, 2020. "A novel supercritical CO2 recompression Brayton power cycle for power tower concentrating solar plants," Applied Energy, Elsevier, vol. 263(C).
    17. Zhang, Maolong & Xu, Chao & Du, Xiaoze & Amjad, Muhammad & Wen, Dongsheng, 2017. "Off-design performance of concentrated solar heat and coal double-source boiler power generation with thermocline energy storage," Applied Energy, Elsevier, vol. 189(C), pages 697-710.
    18. Wang, Kun & He, Ya-Ling & Xue, Xiao-Dai & Du, Bao-Cun, 2017. "Multi-objective optimization of the aiming strategy for the solar power tower with a cavity receiver by using the non-dominated sorting genetic algorithm," Applied Energy, Elsevier, vol. 205(C), pages 399-416.
    19. Ashley, Thomas & Carrizosa, Emilio & Fernández-Cara, Enrique, 2017. "Optimisation of aiming strategies in Solar Power Tower plants," Energy, Elsevier, vol. 137(C), pages 285-291.
    20. Xu, Li & Stein, Wesley & Kim, Jin-Soo & Wang, Zhifeng, 2018. "Three-dimensional transient numerical model for the thermal performance of the solar receiver," Renewable Energy, Elsevier, vol. 120(C), pages 550-566.

    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:230:y:2018:i:c:p:590-614. 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.