IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i2p426-d1570583.html
   My bibliography  Save this article

Tilt–Roll Heliostats and Non-Flat Heliostat Field Topographies for Compact, Energy-Dense Rooftop-Scale and Urban Central Receiver Solar Thermal Systems for Sustainable Industrial Process Heat

Author

Listed:
  • Joshua Freeman

    (College of Engineering, Amritapuri Campus, Amrita University, Kollam 690525, Kerala, India)

  • Walajabad Sampath

    (Department of Mechanical Engineering, Colorado State University, Fort Collins, CO 80521, USA)

  • Krishnashree Achuthan

    (College of Engineering, Amritapuri Campus, Amrita University, Kollam 690525, Kerala, India)

Abstract

Industrial process heat typically requires large amounts of fossil fuels. Solar energy, while abundant and free, has low energy density, and so large collector areas are needed to meet thermal needs. Land costs in developed areas are often prohibitively high, making rooftop-based concentrating solar power (CSP) attractive. However, limited rooftop space and the low energy density of solar power are usually insufficient to meet a facility’s demands. Maximizing annual CSP energy generation within a bounded rooftop space is necessary to mitigate fossil fuel consumption. This is a different optimization objective than minimizing the Levelized Cost of Energy (LCOE) in typical open-land, utility-scale heliostat layout optimization. Innovative designs are necessary, such as compact, energy-dense central receiver systems with non-flat heliostat field topographies that use spatially efficient Tilt–Roll heliostats or multi-rooftop and multi-height distributed urban systems. A novel ray-tracing simulation tool was developed to evaluate these unique scenarios. For compact systems, optimized annual energy production occurred with maximum heliostat spatial density, and the best non-flat heliostat field topography found is a shallow section of a parabolic cylinder with an East–West focal axis, yielding a 10% optical energy improvement. Tightly packed Tilt–Roll heliostats showed a double improvement in optical energy at the receiver compared to Azimuth–Elevation heliostats.

Suggested Citation

  • Joshua Freeman & Walajabad Sampath & Krishnashree Achuthan, 2025. "Tilt–Roll Heliostats and Non-Flat Heliostat Field Topographies for Compact, Energy-Dense Rooftop-Scale and Urban Central Receiver Solar Thermal Systems for Sustainable Industrial Process Heat," Energies, MDPI, vol. 18(2), pages 1-32, January.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:2:p:426-:d:1570583
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/2/426/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/2/426/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richard P. Fisher & Allan Lewandowski & Tesfayohanes W. Yacob & Barbara J. Ward & Lauren M. Hafford & Ryan B. Mahoney & Cori J. Oversby & Dragan Mejic & Dana H. Hauschulz & R. Scott Summers & Karl G. , 2021. "Solar Thermal Processing to Disinfect Human Waste," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    2. Ghirardi, Elisa & Brumana, Giovanni & Franchini, Giuseppe & Perdichizzi, Antonio, 2021. "Heliostat layout optimization for load-following solar tower plants," Renewable Energy, Elsevier, vol. 168(C), pages 393-405.
    3. Guillermo Ortega & Rubén Barbero & Antonio Rovira, 2024. "Global Methods for Calculating Shading and Blocking Efficiency in Central Receiver Systems," Energies, MDPI, vol. 17(6), pages 1-18, March.
    4. Ortega, Guillermo & Rovira, Antonio, 2020. "A new method for the selection of candidates for shading and blocking in central receiver systems," Renewable Energy, Elsevier, vol. 152(C), pages 961-973.
    5. Wagner, Michael J. & Newman, Alexandra M. & Hamilton, William T. & Braun, Robert J., 2017. "Optimized dispatch in a first-principles concentrating solar power production model," Applied Energy, Elsevier, vol. 203(C), pages 959-971.
    6. Rizvi, Arslan A. & Yang, Dong, 2022. "A detailed account of calculation of shading and blocking factor of a heliostat field," Renewable Energy, Elsevier, vol. 181(C), pages 292-303.
    7. Besarati, Saeb M. & Yogi Goswami, D., 2014. "A computationally efficient method for the design of the heliostat field for solar power tower plant," Renewable Energy, Elsevier, vol. 69(C), pages 226-232.
    Full references (including those not matched with items on IDEAS)

    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. Cui, Dongyu & Bian, Hong & Yu, Haizheng, 2024. "Quickly select heliostat candidates and design pattern-free layout using geometric projection method," Renewable Energy, Elsevier, vol. 237(PB).
    2. Dhikra Derbal & Abdallah Abderrezak & Seif Eddine Chehaidia & Majdi T. Amin & Mohamed I. Mosaad & Tarek A. Abdul-Fattah, 2023. "Parametric Study and Optimization of No-Blocking Heliostat Field Layout," Energies, MDPI, vol. 16(13), pages 1-21, June.
    3. Rizvi, Arslan A. & Yang, Dong, 2022. "A detailed account of calculation of shading and blocking factor of a heliostat field," Renewable Energy, Elsevier, vol. 181(C), pages 292-303.
    4. Ghirardi, Elisa & Brumana, Giovanni & Franchini, Giuseppe & Perdichizzi, Antonio, 2021. "The optimal share of PV and CSP for highly renewable power systems in the GCC region," Renewable Energy, Elsevier, vol. 179(C), pages 1990-2003.
    5. Cruz, N.C. & Salhi, S. & Redondo, J.L. & Álvarez, J.D. & Berenguel, M. & Ortigosa, P.M., 2018. "Hector, a new methodology for continuous and pattern-free heliostat field optimization," Applied Energy, Elsevier, vol. 225(C), pages 1123-1131.
    6. Amani, Madjid & Ghenaiet, Adel, 2020. "Novel hybridization of solar central receiver system with combined cycle power plant," Energy, Elsevier, vol. 201(C).
    7. Wang, Jianxing & Duan, Liqiang & Yang, Yongping, 2018. "An improvement crossover operation method in genetic algorithm and spatial optimization of heliostat field," Energy, Elsevier, vol. 155(C), pages 15-28.
    8. Wang, Chen & Guo, Su & Pei, Huanjin & He, Yi & Liu, Deyou & Li, Mengying, 2023. "Rolling optimization based on holism for the operation strategy of solar tower power plant," Applied Energy, Elsevier, vol. 331(C).
    9. Saghafifar, Mohammad & Gadalla, Mohamed, 2017. "Thermo-economic optimization of hybrid solar Maisotsenko bottoming cycles using heliostat field collector: Comparative analysis," Applied Energy, Elsevier, vol. 190(C), pages 686-702.
    10. Calderón, Alejandro & Palacios, Anabel & Barreneche, Camila & Segarra, Mercè & Prieto, Cristina & Rodriguez-Sanchez, Alfonso & Fernández, A. Inés, 2018. "High temperature systems using solid particles as TES and HTF material: A review," Applied Energy, Elsevier, vol. 213(C), pages 100-111.
    11. Jesse G. Wales & Alexander J. Zolan & William T. Hamilton & Alexandra M. Newman & Michael J. Wagner, 2023. "Combining simulation and optimization to derive operating policies for a concentrating solar power plant," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 119-150, March.
    12. Chen, Jinli & Xiao, Gang & Xu, Haoran & Zhou, Xin & Yang, Jiamin & Ni, Mingjiang & Cen, Kefa, 2022. "Experiment and dynamic simulation of a solar tower collector system for power generation," Renewable Energy, Elsevier, vol. 196(C), pages 946-958.
    13. Abiodun, Kehinde & Hood, Karoline & Cox, John L. & Newman, Alexandra M. & Zolan, Alex J., 2023. "The value of concentrating solar power in ancillary services markets," Applied Energy, Elsevier, vol. 334(C).
    14. Zhao, Yu & Chang, Zhiyuan & Zhao, Yuanyang & Yang, Qichao & Liu, Guangbin & Li, Liansheng, 2023. "Performance comparison of three supercritical CO2 solar thermal power systems with compressed fluid and molten salt energy storage," Energy, Elsevier, vol. 282(C).
    15. Saghafifar, Mohammad & Gadalla, Mohamed, 2017. "Thermo-economic evaluation of water-injected air bottoming cycles hybridization using heliostat field collector: Comparative analyses," Energy, Elsevier, vol. 119(C), pages 1230-1246.
    16. 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.
    17. Ana Carolina do Amaral Burghi & Tobias Hirsch & Robert Pitz-Paal, 2020. "Artificial Learning Dispatch Planning with Probabilistic Forecasts: Using Uncertainties as an Asset," Energies, MDPI, vol. 13(3), pages 1-25, February.
    18. Kahvecioğlu, Gökçe & Morton, David P. & Wagner, Michael J., 2022. "Dispatch optimization of a concentrating solar power system under uncertain solar irradiance and energy prices," Applied Energy, Elsevier, vol. 326(C).
    19. Piroozmand, Pasha & Boroushaki, Mehrdad, 2016. "A computational method for optimal design of the multi-tower heliostat field considering heliostats interactions," Energy, Elsevier, vol. 106(C), pages 240-252.
    20. Hu, Bangjie & Cai, Fulin & Tai, Nengling & Wang, Pei, 2024. "Dual-time scale optimal dispatch of the CSP-PV hybrid power plant considering dynamic operation," Energy, Elsevier, vol. 306(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:gam:jeners:v:18:y:2025:i:2:p:426-:d:1570583. 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.