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Minimizing the Computational Effort to Optimize Solar Concentrators with the Open-Source Tools SunPATH and Tonatiuh++

Author

Listed:
  • Manuel J. Blanco

    (Energy Division, The Cyprus Institute, 2121 Nicosia, Cyprus
    These authors contributed equally to this work.)

  • Victor Grigoriev

    (Energy Division, The Cyprus Institute, 2121 Nicosia, Cyprus
    These authors contributed equally to this work.)

  • Kypros Milidonis

    (Energy Division, The Cyprus Institute, 2121 Nicosia, Cyprus
    These authors contributed equally to this work.)

  • George Tsouloupas

    (High Performance Computing Facility, The Cyprus Institute, 2121 Nicosia, Cyprus
    These authors contributed equally to this work.)

  • Miguel Larrañeta

    (Department of Energy Engineering, University of Seville, 41092 Sevilla, Spain
    These authors contributed equally to this work.)

  • Manuel Silva

    (Department of Energy Engineering, University of Seville, 41092 Sevilla, Spain
    These authors contributed equally to this work.)

Abstract

Integrals that are of interest in the analysis, design, and optimization of concentrating solar thermal systems (CST), such as the annual optical efficiency of the light collection and concentration (LCC) subsystem, can be accurately computed or estimated in two distinct ways: on the time domain and on the spatial domain. This article explores these two ways, using a case study that is highly representative of the commercial CST systems being deployed worldwide. In the time domain, the computation of these integrals are explored using 1-min, 10-min, and 1-h solar DNI input data and using The Cyprus Institute (CyI)’s High-Performance Computing (HPC) system and an open-source ray tracer, Tonatiuh++, being actively developed at CyI. In the spatial domain, the computation of these integrals is explored using SunPATH, another open-source software tool being actively developed at CyI, in tandem with Tonatiuh++. The comparison between the time and spatial domain approach clearly indicate that the spatial domain approach using SunPATH is dramatically more computationally efficient than the time domain approach. According to the results obtained, at least for the case study analyzed in this article, to compute the annual energy delivered by the LCC subsystem with a relative error less than 0.1%, it is enough to provide SunPATH with 1-h DNI data as input, request from SunPATH the sun position and weights of just 30 points in the celestial sphere, and run Tonatiuh++ to simulate these 30 points using 15 million rays per run. As the test case is highly representative, it is expected that this approach will yield similar results for most CST systems of interest.

Suggested Citation

  • Manuel J. Blanco & Victor Grigoriev & Kypros Milidonis & George Tsouloupas & Miguel Larrañeta & Manuel Silva, 2021. "Minimizing the Computational Effort to Optimize Solar Concentrators with the Open-Source Tools SunPATH and Tonatiuh++," Energies, MDPI, vol. 14(15), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4412-:d:598891
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    References listed on IDEAS

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    1. Chao Li & Rongrong Zhai & Yongping Yang, 2017. "Optimization of a Heliostat Field Layout on Annual Basis Using a Hybrid Algorithm Combining Particle Swarm Optimization Algorithm and Genetic Algorithm," Energies, MDPI, vol. 10(11), pages 1-15, November.
    2. 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.
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    1. Liu, Zengqiang & Lin, Xiaoxia & Zhao, Yuhong & Feng, Jieqing, 2023. "Determination of simulation parameters in Monte Carlo ray tracing for radiative flux density distribution simulation," Energy, Elsevier, vol. 276(C).

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