Pv/T Systems For Energy Efficiency By Using Advanced Deep Neural Network (DNN) And Nanofluid In Solar Systems

Öz

Today, solar energy is a very popular alternative energy source due to its enormous availability in nature. In this study, focusing on the electro-mechanical production industry of advanced PV/T solar panels, studies carried out on the development of new methodological methods for the efficiency of existing asset management practices of the infrastructure of this industry and the optimal improvement . For this, it is to integrate a power-generating PV/T panel and a solar thermal heating panel within the same collection surface. In this research, it was implemented using a new roof-mounted PV/T multi-reflection panel, which not only increases the power output of the PV/T panel, but most importantly, the aesthetic aspect is a major barrier to large-scale uptake of PV/TIn this study, we developed a new advanced MPPT(maximum power point tracking) algorithm such as Deep Neural Network (DNN) controller especially for photovoltaic system. The proposed DNN based MPPT algorithm is developed PV/T voltage, current and corresponding duty cycle.

Anahtar Kelimeler

• PV/T
• MPPT
• DNN
• Türkiye
• İran
• Nanofluid

Kaynakça

1. [1] Swese E.O.E., Hançerlioğulları A., (2022) “Investigation of performance on photovoltaic/thermal (PV/T) system using magnetic nanofluids”, Politeknik Dergisi, 25(1), 411-416.
2. [2] Lämmle M., Oliva A., Hermann M., Kramer K., Kramer W., “PVT collector technologies in solar thermal systems: A systematic assessment of electrical and thermal yields with the novel characteristic temperature approach”, Solar Energy, 155, 867-879, (2017).
3. [3] Sandnes, B. and Rekstad, J., (2002) “A photovoltaic/thermal (PV/T) collector with a polymer absorber plate, Experimental study and analytical model”, Solar Energy, 72(1): 63-73.
4. [4] S.R. Maadi, A. Kolahan, M. Passandideh Fard, M. Sardarabadi, (2017) “Effects of Nanofluids Thermo-Physical Properties on the Heat Transfer and 1st Law of Thermodynamic in a Serpentine PVT System”, Proceedings of the 17th Fluid Dynamics Conference, Shahrood, Iran, 27-29.
5. [5] AShahsavar, A., Jha, P., Arıcı, M., and Estellé, P., (2021) “Experimental investigation of the usability of the rifled serpentine tube to improve energy and exergy performances of a nanofluid-based photovoltaic/thermal system”, Renewable Energy, 170, 410-425.
6. [6] Al-Waeli, A. H., Sopian, K., Chaichan, M. T., Kazem, H. A., Ibrahim, A., Mat, S., & Ruslan, M. H., (2017)“Evaluation of the nanofluid and nano-PCM based photovoltaic thermal (PVT) system: An experimental study”, Energy Conversion and Management, 151, 693-708.
7. [7] Al-Shamani, A. N., Sopian, K., Mat, S., Hasan, H. A., Abed, A. M., and Ruslan, M. H., (2016) “Experimental studies of rectangular tube absorber photovoltaic thermal collector with various types of nanofluids under the tropical climate conditions”, Energy Conversion and Management, 124, 528-542.
8. [8] Michael, J. J., and Iniyan, S., (2015) “Performance analysis of a copper sheet laminated photovoltaic thermal collector using copper oxide–water nanofluid”, Solar Energy, 119, 439-451.

9. [9] Rejeb, O., Sardarabadi, M., Ménézo, C., Passandideh-Fard, M., Dhaou, M. H., and Jemni, A., (2016) “Numerical and model validation of uncovered nanofluid sheet and tube type photovoltaic thermal solar system”, Energy Conversion and Management, 110, 367-377.
10. [10] Sardarabadi, M., Passandideh-Fard, M., and Heris, S. Z., (2014) “Experimental investigation of the effects of silica/water nanofluid on PV/T (photovoltaic thermal units)”, Energy, 66, 264-272.
11. [11] Ghadiri, M., Sardarabadi, M., Pasandideh-fard, M., and Moghadam, A. J.,(2015) “Experimental investigation of a PVT system performance using nano ferrofluids”, Energy Conversion and Management, 103, 468-476.
12. [12] Khanlari, A., Sözen, A., and Variyenli, H. İ., (2019)“Simulation and experimental analysis of heat transfer characteristics in the plate type heat exchangers using TiO2/water nanofluid”, International Journal of Numerical Methods for Heat & Fluid Flow, 29(4), 1343-1362.
13. [13] Sözen, A., Martin, K., Aytaç, İ., and Filiz, Ç., (2020)“Upgrading the Performance of Heat Recovery Unit Containing Heat Pipes by Using a Hybrid (CuO+ ZnO)/Water Nanofluid”, Heat Transfer Research, 51(14), 1289-1300.
14. [14] Ali, M., (2020)“Instability of Hydromagnetic Hybrid Flow Fe2O3-Fe3O4/H2O of Thermocapillary Layers of Shear-Thinning Nanofluids”
15. [15] Sheikholeslami, M. and Ganji, D.D., (2015) “Nanofluid Flow and Heat Transfer between Parallel Plates Considering Brownian Motion Using DTM”, Comput. Methods Appl. Mech. Eng., 283,651–663.
16. [16] Çiftçi, E., Sözen, A., and Karaman, E., (2016) “TiO2 İçeren Nanoakışkan Kullanımının Isı Borusu Performansına Etkisinin Deneysel Olarak İncelenmesi”, Politeknik Dergisi, 19(3), 367–376.
17. [17]B. Dursun, C. Gokcol, I. Umut, E. Ucar, and S. Kocabey, (2013)“Techno-economic evaluation of a hybrid PV—Wind power generation system,” Int. J. Green Energy, 10(2) ,117–136.
18. [18]C.-H. Li, X.-J. Zhu, G.-Y. Cao, S. Sui, and M.-R. Hu, (2009) “Dynamic modeling and sizing optimization of stand-alone photovoltaic power systems using hybrid energy storage technology,” Renew. energy, 34 (3), 815–826.
19. [19]L. Cavanini, L. Ciabattoni, F. Ferracuti, G. Ippoliti, and S. Longhi, (2016)“Microgrid sizing via profit maximization: a population based optimization approach,” in 14th international conference on industrial informatics (INDIN), 663–668.
20. [20]A. Q. Al-Shetwi, M. Z. Sujod, and F. Blaabjerg, (2018) “Low voltage ride-through capability control for single-stage inverter-based grid-connected photovoltaic power plant,” Sol. Energy, vol. 159, 665–681. [21]V. Chobanov, “The impact of PV orientation in smart grids, (2016)” in IEEE International Power Electronics and Motion Control Conference (PEMC), 1055–1059.
21. [22]L. Ciabattoni, F. Ferracuti, G. Ippoliti, and S. Longhi, (2016) “Artificial bee colonies based optimal sizing of microgrid components: a profit maximization approach,” in IEEE Congress on Evolutionary Computation ,2036–2042.
22. [23]F. Diab and S. Ali, (2016)“An economic and environment friendly solution for the rural households’ energy crisis in Egypt,” J. Renew. Sustain. Energy, 8( 4), 45904.
23. [24]E. Zarezadeh, H. Fakharzadegan, A. Ghorbani, and H. Fathabadi, (2015). “A probabilistic approach to determine PV array size and battery capacity used in grid-connected PV systems,” in 23rd Iranian Conference on Electrical Engineering, 1533–1538.
24. [25]L. N. An, T. Quoc-Tuan, B. Seddik, and N. Van-Linh, (2015) “Optimal sizing of a grid-connected microgrid,” in IEEE International Conference on Industrial Technology 2015 (ICIT), 2869–2874.
25. [26]T. A. Nguyen, M. L. Crow, and A. C. Elmore, (2015) “Optimal sizing of a vanadium redox battery system for microgrid systems,” IEEE Trans. Sustain. energy, 6(3) , 729–737.
26. [27]M. Cavalcanti, G. M. S. Azevedo, B. A. Amaral, K. C. De Oliveira, F. A. S. Neves, and D. Lins, (2005)“Efficiency evaluation in grid connected photovoltaic energy conversion systems,” in IEEE 36th Power Electronics Specialists Conference, 269–275.
27. [28]K. S. Rajesh and S. S. Dash, , (2019) “Load frequency control of autonomous power system using adaptive fuzzy based PID controller optimized on improved sine cosine algorithm,” J. Ambient Intell. Humaniz. Comput, 10 (6) , 2361–2373.
28. [29]N. Crespi, (2014)International Conference on Electronics and Electrical Engineering, CEEE2014. DEStech Publications, Inc.
29. [30]V. Lughi, A. M. Pavan, S. Quaia, and G. Sulligoi, (2008) “Economical analysis and innovative solutions for grid connected PV plants,” in International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 211–216.
30. [32]R. Rose and E. N. Skariah, (2013) “Active power management of hybrid fuel cell, photovoltaic unit, and supercapacitor power conversion system in a microgrid,” in International Conference on Renewable Energy and Sustainable Energy (ICRESE), 200–206.
31. [33]M. Hamzeh, A. Ghazanfari, H. Mokhtari, and H. Karimi, (2013)“Integrating hybrid power source into an islanded MV microgrid using CHB multilevel inverter under unbalanced and nonlinear load conditions,” IEEE Trans. energy Convers, 28( 3), 643–651.
32. [34]K. V. K. Varma, K. Sirisha, G. Satyanarayana, and K. L. Ganesh, (2014) “Optimal PWM strategy for 11-level series connected multilevel converter using Hybrid PV/FC/BESS source,” in International Conference on Circuits, Power and Computing Technologies, 686–691.
33. [35]A. Mostafazadeh, T. K. Tasooji, M. Sahin, and O. Usta, (2017) “Voltage control of PV-FC-battery-wind turbine for stand-alone hybrid system based on fuzzy logic controller,” in 10th International Conference on Electrical and Electronics Engineering ,170–174.