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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.

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Figures

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Fig. 1

Schematic diagram of the experimental system

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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).

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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].

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Fig. 4

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

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Fig. 5

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

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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.

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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

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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

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Fig. 9

General structure of ANFIS and its layers

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Fig. 10

Used ANFIS structure

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Fig. 11

Membership functions of used ANFIS network

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Fig. 12

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

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Fig. 13

Estimated output matched load powers by ANFIS for July

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Fig. 14

Correlation input parameters and ANFIS outputs for days of July

Tables

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