Research Papers

Experimental and Modeling Study on Solar System Using Linear Fresnel Lens and Thermoelectric Module

[+] Author and Article Information
Yavuz Köysal

Yeşilyurt Demir Çelik Vocational School,
Department of Electricity and
Energy Technologies,
Ondokuz Mayıs University,
Samsun 55330, Turkey
e-mail: yavuzk@omu.edu.tr

Ali Ekber Özdemir

Fatsa Faculty of Marine Sciences,
Marine Science and Technology Engineering,
Ordu University,
Ordu 52400, Turkey

Tahsin Atalay

Yeşilyurt Demir Çelik Vocational School,
Department of Electronics and Automation,
Ondokuz Mayıs University,
Samsun 55330, Turkey
e-mail: atalayt@omu.edu.tr

1Corresponding author.

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received November 29, 2017; final manuscript received March 22, 2018; published online April 16, 2018. Assoc. Editor: Gerardo Diaz.

J. Sol. Energy Eng 140(6), 061003 (Apr 16, 2018) (11 pages) Paper No: SOL-17-1471; doi: 10.1115/1.4039777 History: Received November 29, 2017; Revised March 22, 2018

This work is concerned with an experimental design for generating power from thermoelectric generator (TEG) and linear Fresnel lens collector with one-axis solar tracking system. Main purpose of this experimental design is to measure the performance of the TEG with linear Fresnel lens collector. This work also aims to create a mathematical model by using adaptive neuro fuzzy inference system (ANFIS) model so that the electrical production estimates of the constructed system can be made for a given data set. For this reason, two individual systems, selective surface adapted for achieving medium temperature scale and nonselective surface for low temperatures, were constructed. There are two different coolant systems, which are passive and active, to create effective open circuit voltage values. Experimental results show that the maximum open circuit voltages were obtained as 0.442 V and 1.413 V for experimental system with selective surface adapted, as 0.341 V and 0.942 V with nonselective surface adapted when the received radiated power on Fresnel lens was measured nearly 625 W/m2 on average in the noon time. Experimental values were collected for the selective surface adapted system on 11th and 12th of September, 2017 and for nonselective surface on 13th of September, 2017, respectively, in Samsun/Turkey with location 41°14′N and 36°26′E. The collected data such as solar irradiation, wind speed, ambiance temperature, and open circuit voltage were used for (ANFIS) modeling. Obtained result shows that experimental calculations and modeling are consistent with each other.

Copyright © 2018 by ASME
Your Session has timed out. Please sign back in to continue.


Peura, P. , and Hyttinen, T. , 2011, “ The Potential and Economics of Bioenergy in Finland,” J. Cleaner Prod., 19(9–10), pp. 927–945. [CrossRef]
Khamooshi, M. , Salati, H. , Egelioğlu, F. , Faghiri, A. H. , Tarabishi, J. , and Babadi, S. , 2014, “ A Review of Solar Photovoltaic Concentrators,” Int. J. Photoenergy, 2014, p. 958521.
Kumar, V. , Shrivastava, R. L. , and Untawale, S. P. , 2015, “ Fresnel Lens: A Promising Alternative of Reflectors in Concentrated Solar Power,” Renewable Sustainable Energy Rev., 44, pp. 376–390. [CrossRef]
Xie, W. T. , Dai, Y. J. , Wang, R. Z. , and Sumathy, K. , 2011, “ Concentrated Solar Energy Applications Using Fresnel Lenses: A Review,” Renewable Sustainable Energy Rev., 15(6), pp. 2588–2606. [CrossRef]
Sobhansarbandi, S. , Martinez, P. M. , Papadimitratos, A. , Zakhidov, A. , and Hassanipour, F. , 2017, “ Evacuated Tube Solar Collector With Multifunctional Absorber Layers,” Sol. Energy, 146, pp. 342–350. [CrossRef]
Swanson, R. M. , 2000, “ The Promise of Concentrators,” Prog. Photovolt. Res. Appl., 8(1), pp. 93–111. [CrossRef]
Rowe, D. M. , ed., 1995, Handbook of Thermoelectrics, CRC Press, Boca Raton, FL.
Özdemir, A. E. , Köysal, Y. , Özbas, E. , and Atalay, T. , 2015, “ The Experimental Design of Solar Heating Thermoelectric Generator With Wind Cooling Chimney,” Energy Convers. Manage., 98, pp. 127–133. [CrossRef]
Zhai, H. , Dai, Y. J. , Wu, J. Y. , Wang, R. Z. , and Zhang, L. Y. , 2010, “ Experimental Investigation and Analysis on a Concentrating Solar Collector Using Linear Fresnel Lens,” Energy Convers. Manage., 51(1), pp. 48–55. [CrossRef]
Singh, P. L. , Ganesan, S. , and Yàdav, G. C. , 1999, “ Performance Study of a Linear Fresnel Concentrating Solar Device,” Renewable Energy, 18(3), pp. 409–416. [CrossRef]
Li, M. , and Wang, L. L. , 2006, “ Investigation of Evacuated Tube Heated by Solar Trough Concentrating System,” Energy Convers. Manage., 47(20), pp. 3591–3601. [CrossRef]
Al-Jumaily, K. E. J. , and Al-Kaysi, M. A. K. A. , 1998, “ The Study of the Performance and Efficiency of Flat Linear Fresnel Lens Collector With Sun Tracking System in Iraq,” Renewable Energy, 14(1–4), pp. 41–48. [CrossRef]
Orr, B. , and Akbarzadeh, A. , 2017, “ Prospects of Waste Heat Recovery and Power Generation Using Thermoelectric Generators,” Energy Procedia, 110, pp. 250–255. [CrossRef]
Remeli, M. F. , Date, A. , Orr, B. , Ding, L. C. , Singh, B. , Affandi, N. D. N. , and Akbarzadeh, A. , 2016, “ Experimental Investigation of Combined Heat Recovery and Power Generation Using a Heat Pipe Assisted Thermoelectric Generator System,” Energy Convers. Manage., 111, pp. 147–157. [CrossRef]
Yodovard, P. , Khedari, J. , and Hirunlabh, J. , 2001, “ The Potential of Waste Heat Thermoelectric Power Generation From Diesel Cycle and Gas Turbine Cogeneration Plants,” Energy Sources, 23(3), pp. 213–224. [CrossRef]
Date, A. , Date, A. , Dixon, C. , and Akbarzadeh, A. , 2014, “ Theoretical and Experimental Study on Heat Pipe Cooled Thermoelectric Generators With Water Heating Using Concentrated Solar Thermal Energy,” Sol. Energy, 105, pp. 656–668. [CrossRef]
Liu, Z. , Zhu, S. , Ge, Y. , Shan, F. , Zeng, L. , and Liu, W. , 2017, “ Geometry Optimization of Two-Stage Thermoelectric Generators Using Simplified Conjugate-Gradient Method,” Appl. Energy, 190, pp. 540–552. [CrossRef]
Eswaramoorthy, M. , Shanmugam, S. , and Veerappan, A. R. , 2013, “ Experimental Study on Solar Parabolic Dish Thermoelectric Generator,” Int. J. Energy Eng. (IJEE), 3(3), pp. 62–66. [CrossRef]
TEC, 2017, “ Specifications TEG Module TEG1-12611-8.0,” TECTEG MFR, Aurora, ON, Canada, accessed Aug. 13, 2017, http://tecteg.com/wp-content/uploads/2014/09/SpecTEG1-12611-8.0Thermoelectric-generator.pdf
Roger, A. , 2004, Messenger and Jerry Ventre, Photovoltaic Systems Engineering, CRC Press, London.
Nia, M. H. , Nejad, A. A. , Goudarzi, A. , Valizadeh, M. , and Samadian, P. , 2014, “ Cogeneration Solar System Using Thermoelectric Module and Fresnel Lens,” Energy Convers. Manage., 84, pp. 305–310. [CrossRef]
CATRENE Working Group on Energy Autonomous Systems, 2009, Energy Autonomous Systems: Future Trends in Devices, Technology, and Systems, CATRENE Leuven, Paris, France.
Mastbergen, D. , 2008, “ Development and Optimization of a Stove-Powered Thermoelectric Generator,” Ph.D. thesis, Colorado State University, Fort Collins, CO.
Beeby, S. , and White, N. M. , 2010, Energy Harvesting for Autonomous Systems, Artech House, Boston, MA.
Candadai, A. A. , Kumar, V. P. , and Barshilia, H. C. , 2016, “ Performance Evaluation of a Natural Convective-Cooled Concentration Solar Thermoelectric Generator Coupled With a Spectrally Selective High Temperature Absorber Coating,” Sol. Energy Mater. Sol. Cells, 145(Pt. 3), pp. 333–341. [CrossRef]
Miljkovic, N. , and Wang, E. N. , 2011, “ Modeling and Optimization of Hybrid Solar Thermoelectric Systems With Thermosyphons,” Sol. Energy, 85(11), pp. 2843–2855. [CrossRef]
Xiao, J. , Yang, T. , Li, P. , Zhai, P. , and Zhang, Q. , 2012, “ Thermal Design and Management for Performance Optimization of Solar Thermoelectric Generator,” Appl. Energy, 93, pp. 33–38. [CrossRef]
Shanmugam, S. , Eswaramoorthy, M. , and Veerappan, A. R. , 2014, “ Modeling and Analysis of a Solar Parabolic Dish Thermoelectric Generator,” Energy Sources, Part A: Recovery, Util., Environ. Eff., 36(14), pp. 1531–1539. [CrossRef]
Chen, W. H. , Wang, C. C. , Hung, C. I. , Yang, C. C. , and Juang, R. C. , 2014, “ Modeling and Simulation for the Design of Thermal-Concentrated Solar Thermoelectric Generator,” Energy, 64, pp. 287–297. [CrossRef]
Jang, J. S. R. , 1993, “ ANFIS Adaptive-Network-Based Fuzzy Inference Systems,” Man Cybern., 23(3), pp. 665–685. [CrossRef]


Grahic Jump Location
Fig. 1

Schematic diagram of the experimental system

Grahic Jump Location
Fig. 2

Active and passive cooling system view of experimental system with insulation material (left). Internal view of selective adapted copper plate in the container box (right).

Grahic Jump Location
Fig. 3

The chart of the used TEG module that given by manufacturer. The chart for open circuit voltage versus hot and cold side temperatures of the used TEG [19].

Grahic Jump Location
Fig. 4

Constructed experimental setups. The left one is nonselective surface, the right one is adapted to selective surface.

Grahic Jump Location
Fig. 5

Thermal resistance of experimental systems: (a) the graph of selective surface adapted system and (b) the graph of the system nonselective surface

Grahic Jump Location
Fig. 6

Variation of open circuit voltage of used TEG modules with solar irradiance and experimental time. (a) the graph of higher voltage values is related with selective surface adapted system and (b) the graph related to lower voltage values of the system nonselective surface.

Grahic Jump Location
Fig. 7

Variation of Electrical efficiency of experimental systems with solar irradiance and experimental time: (a) the graph of selective surface adapted system and (b) the graph of the system nonselective surface

Grahic Jump Location
Fig. 8

Variation of electrical power of experimental systems with hot and cold side of the used TEG module: (a) the graph of selective surface adapted system and (b) the graph of the system nonselective surface

Grahic Jump Location
Fig. 9

General structure of ANFIS and its layers

Grahic Jump Location
Fig. 10

Used ANFIS structure

Grahic Jump Location
Fig. 11

Membership functions of used ANFIS network

Grahic Jump Location
Fig. 12

The experimental data and output of the ANFIS, (a) for training data and (b) for testing data

Grahic Jump Location
Fig. 13

Estimated output matched load powers by ANFIS for July

Grahic Jump Location
Fig. 14

Correlation input parameters and ANFIS outputs for days of July




Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In