Design optimization of a new cavity receiver for a parabolic trough solar collector

Abstract

The most important parameter affecting the optical efficiency, the upper limit for an overall efficiency of parabolic trough solar collector (PTC), is the net absorbed heat rate by receiver on which solar beam radiation is concentrated. The objective of this study is to propose and optimize a new cavity receiver used in PTC for increasing optical efficiency. Three different geometries (triangle, rectangle and polygon), aperture widths, heights and positions of cavity receiver are taken as optimization parameters. A design of experiments (DoE) approach is used to evaluate the effects of these parameters on the absorbed radiation heat rate by receiver at the same time. SolTrace is used to investigate the effects of these parameters by optical analysis. The results indicate that the optimum cavity geometry is polygonal, and the cavity depth and aperture both are equal to 0.05 m. Moreover, it is found that the most effective parameter is the position of the cavity receiver, and the optimum position is at the focal line of the parabolic concentrator. The highest absorbed radiation rate by the cavity receiver and the optical efficiency of the PTC are equal to 3241.99 W and 81.05 % respectively for the optimum cavity receiver design.

Keywords

• Cavity solar receiver
• optical efficiency
• optimization
• response surface methodology
• parabolic trough collector

Kaynakça

1. [1] Jebasingh, V. K., & Herbert, G. M. J. (2016). A review of solar parabolic trough collector. In Renewable and Sustainable Energy Reviews (Vol. 54, pp. 1085–1091). Elsevier Ltd. https://doi.org/10.1016/j.rser.2015.10.043.
2. [2] Gharat, P. V., Bhalekar, S. S., Dalvi, V. H., Panse, S. V., Deshmukh, S. P., & Joshi, J. B. (2021). Chronological development of innovations in reflector systems of parabolic trough solar collector (PTC) - A review. Renewable and Sustainable Energy Reviews, 145(March),111002. https://doi.org/10.1016/j.rser.2021.111002.
3. [3] Zou, B., Dong, J., Yao, Y., & Jiang, Y. (2017). A detailed study on the optical performance of parabolic trough solar collectors with Monte Carlo Ray Tracing method based on theoretical analysis. Solar Energy, 147, 189–201. https://doi.org/10.1016/j.solener.2017.01.055.
4. [4] Kalidasan, B., Hassan, M. A., Pandey, A. K., & Chinnasamy, S. (2023). Linear cavity solar receivers: A review. In Applied Thermal Engineering (Vol. 221). Elsevier Ltd. https://doi.org/10.1016/j.applthermaleng.2022.119815
5. [5] Daabo, A. M., Mahmoud, S., & Al-Dadah, R. K. (2016). The effect of receiver geometry on the optical performance of a small-scale solar cavity receiver for parabolic dish applications. Energy, 114, 513–525. https://doi.org/10.1016/j.energy.2016.08.025
6. [6] Slootweg, M., Craig, K. J., & Meyer, J. P. (2019). A computational approach to simulate the optical and thermal performance of a novel complex geometry solar tower molten salt cavity receiver. Solar Energy, 187, 13–29. https://doi.org/10.1016/j.solener.2019.05.003
7. [7] Kasaeian, A., Kouravand, A., Vaziri Rad, M. A., Maniee, S., & Pourfayaz, F. (2021). Cavity receivers in solar dish collectors: A geometric overview. Renewable Energy, 169, 53–79. https://doi.org/10.1016/j.renene.2020.12.106
8. [8] Loni, R., Ghobadian, B., Kasaeian, A. B., Akhlaghi, M. M., Bellos, E., & Najafi, G. (2020). Sensitivity analysis of parabolic trough concentrator using rectangular cavity receiver. Applied Thermal Engineering, 169(April 2019). https://doi.org/10.1016/j.applthermaleng.2020.114948

9. [9] Natraj, Rao, B. N., & Reddy, K. S. (2022). Optical and structural optimization of a large aperture solar parabolic trough collector. Sustainable Energy Technologies and Assessments, 53(PA), 102418. https://doi.org/10.1016/j.seta.2022.102418
10. [10] Gorji, T. B., & Ranjbar, A. A. (2015). Geometry optimization of a nanofluid-based direct absorption solar collector using response surface methodology. Solar Energy, 122,314–325. https://doi.org/10.1016/j.solener.2015.09.00.
11. [11] Moghimi, M. A., Craig, K. J., & Meyer, J. P. (2015). Optimization of a trapezoidal cavity absorber for the Linear Fresnel Reflector. Solar Energy, 119, 343–361. https://doi.org/10.1016/j.solener.2015.07.009
12. [12] Afzal, A., Buradi, A., Jilte, R., Shaik, S., Kaladgi, A. R., Arıcı, M., Lee, C. T., & Nižetić, S. (2023). Optimizing the thermal performance of solar energy devices using meta-heuristic algorithms: A critical review. Renewable and Sustainable Energy Reviews, 173(July 2022). https://doi.org/10.1016/j.rser.2022.112903
13. [13] Ghazouani, M., Bouya, M., & Benaissa, M. (2020). Thermo-economic and exergy analysis and optimization of small PTC collectors for solar heat integration in industrial processes. Renewable Energy, 152, 984–998. https://doi.org/10.1016/j.renene.2020.01.109
14. [14] Moghadam, H., & Samimi, M. (2022). Effect of condenser geometrical feature on evacuated tube collector basin solar still performance: Productivity optimization using a Box-Behnken design model. Desalination, 542(June), 116092. https://doi.org/10.1016/j.desal.2022.116092
15. [15] Sharifzadeh, M., & Loni, R. (2024). Performance of a solar parabolic trough concentrator using vacuum linear V-shaped cavity receiver. Thermal Science and Engineering Progress (Vol. 51, 102609). https://doi.org/10.1016/j.tsep.2024.102609
16. [16] Ferrer, P., Mohamad, K., Cyulinyana, M. C., & Kaluba, V. (2023). Parameter optimization of the parabolic solar trough mirror with a cavity receiver unit. Applied Thermal Engineering 232, 121086. https://doi.org/10.1016/j.applthermaleng.2023.121086
17. [17] Taher, M. A. B., Pelay, U., Russeil, S., & Bougeard, D. (2023). A novel design to optimize the optical performances of parabolic trough collector using Taguchi, ANOVA and grey relational analysis methods. Renewable Energy 216, 119105. https://doi.org/10.1016/j.renene.2023.119105
18. [18] Loni, R., & Sharifzadeh, M. (2024). Performance comparison of a solar parabolic trough concentrator using different shapes of linear cavity receiver. Case Studies in Thermal Engineering 60, 104603. https://doi.org/10.1016/j.csite.2024.104603
19. [19] Facão, J., & Oliveira, A. C. (2011). Numerical simulation of a trapezoidal cavity receiver for a linear Fresnel solar collector concentrator. Renewable Energy 36, 90-96. https://doi.org/10.1016/j.renene.2010.06.003
20. [20] Tariq, R., ohani, A., Xamán, J., Sayyaadi, H., Bassam, A., & Tzuc, O. M. (2023). Multi-objective optimization for the best possible thermal, electrical and overall energy performance of a novel perforated-type regenerative evaporative humidifier. Energy Conversion and Management 198, 111802. https://doi.org/10.1016/j.enconman.2019.111802
21. [21] Duffie, J. A., & Beckman, W. A. (1982). Solar engineering of thermal processes. In Design Studies (Vol. 3, Issue 3). https://doi.org/10.1016/0142-694x(82)90016
22. [22] Tutar, M., & Veci, I. (2016). Performance analysis of a horizontal axis 3-bladed Savonius type wave turbine in an experimental wave flume (EWF). Renewable Energy, 86, 8–25. https://doi.org/10.1016/j.renene.2015.07.079
23. [23] Hatami, M., Cuijpers, M. C. M., & Boot, M. D. (2015). Experimental optimization of the vanes geometry for a variable geometry turbocharger (VGT) using a Design of Experiment (DoE) approach. Energy Conversion and Management, 106, 1057–1070. https://doi.org/10.1016/j.enconman.2015.10.040
24. [24] Hill, W. J., & Hunter, W. G. (1966). A Review of Response Surface Methodology: A Literature Survey (Vol. 8, Issue 4).
25. [25] Chen, W. H., Carrera Uribe, M., Kwon, E. E., Lin, K. Y. A., Park, Y. K., Ding, L., & Saw, L. H. (2022). A comprehensive review of thermoelectric generation optimization by statistical approach: Taguchi method, analysis of variance (ANOVA), and response surface methodology (RSM). In Renewable and Sustainable Energy Reviews (Vol. 169). Elsevier Ltd. https://doi.org/10.1016/j.rser.2022.112917
26. [26] Şimşek, B., İç, Y. T., & Şimşek, E. H. (2016). A RSM-Based Multi-Response Optimization Application for Determining Optimal Mix Proportions of Standard Ready-Mixed Concrete. Arabian Journal for Science and Engineering, 41(4), 1435–1450. https://doi.org/10.1007/s13369-015-1987-0
27. [27] Dudley, E., Kolb, J., Mahoney, A., Mancini, T., M, S., & Kearney, D. (1994). Test results: SEGS LS-2 solar collector. Sandia National Laboratory. Report: SAND94- 1884.
28. [28] Hachicha, A. A., Rodríguez, I., Capdevila, R., & Oliva, A. (2013). Heat transfer analysis and numerical simulation of a parabolic trough solar collector. Applied Energy, 111, 581–592. https://doi.org/10.1016/j.apenergy.2013.04.067
29. [29] Pratticò, L., Fronza, N., Bartali, R., Chiappini, A., Sciubba, E., González-Aguilar, J., & Crema, L. (2021). Radiation propagation in a hierarchical solar volumetric absorber: Results of single-photon avalanche diode measurements and Monte Carlo ray tracing analysis. Renewable Energy, 180, 482–493. https://doi.org/10.1016/j.renene.2021.08.069
30. [30] Wendelin, T., Dobos, A., & Lewandowski, A. (2013). SolTrace: A Ray-Tracing Code for Complex Solar Optical Systems. http://www.osti.gov/bridge