Dear Mina Rishehrinezhad

Please take a look at these links

Best regards

https://www.academia.edu/10813996/Modeling_of_Near-Field_Concentrated_Solar_Thermophotovoltaic_Microsystem

Article Modeling and Simulation of a Thermophotovoltaic System with ...

https://libra2.lib.virginia.edu/downloads/8g84mm58v?filename=Dissertation_FINAL.pdf

http://users.cecs.anu.edu.au/~nirajlal/files/Lal2007_ANU_HonoursThesis.pdf

https://www.semanticscholar.org/paper/High-Energy-Advanced-Thermal-Storage-(HEATS)-Gilpin-Scharfe/010dcdeb098006254143cc844cd0509087dd0912

Greetings.

I would suggest looking for some good examples in the MATLAB help packages. On the other hand, I am sending you the titles of some scientific contributions that may be useful to you.

• Comparison of numerical modeling of degradation mechanisms in single mode optical fiber using matlab and vpiphotonics

• Coupling the numerical modeling of the inductive heating process using a matlab-pde software development and the minitab-full factorial software in order to optimize the parameters of an inductive electrothermal equipment

• Modeling and simulation of a two-phase flow network with the MATLAB - COMSOL numerical packages in the. NET environment

I hope my advice helps you.

Thermophotovoltaic (TPV) energy conversion is a direct conversion process from heat to electricity via photons. A basic thermophotovoltaic system consists of a thermal emitter and a photovoltaic diode cell.

The temperature of the thermal emitter varies between different systems from about 900 °C to about 1300 °C, although in principle TPV devices can extract energy from any emitter with temperature elevated above that of the photovoltaic device (forming an optical heat engine). The emitter can be a piece of solid material or a specially engineered structure. Thermal emission is the spontaneous emission of photons due to thermal motion of charges in the material. For these TPV temperatures, this radiation is mostly at near infrared and infrared frequencies. The photovoltaic diodes absorbs some of these radiated photons and converts them into electricity.

Thermophotovoltaic systems have few to no moving parts and are therefore quiet and require little maintenance. These properties make thermophotovoltaic systems suitable for remote-site and portable electricity-generating applications. Their efficiency-cost properties, however, are often poor compared to other electricity-generating technologies. Current research in the area aims at increasing system efficiencies while keeping the system cost low.

TPV systems usually attempt to match the optical properties of thermal emission (wavelength, polarization, direction) with the most efficient absorption characteristics of the photovoltaic cell, since unconverted thermal emission is a major source of inefficiency. Most groups focus on gallium antimonide (GaSb) cells. Germanium (Ge) is also suitable. Much research and development concerns methods for controlling the emitter's properties.

TPV cells have been proposed as auxiliary power conversion devices for capture of otherwise lost heat in other power generation systems, such as steam turbine systems or solar cells.

For designing the circuit in MATLAB kindly follow the link.

https://www.sccs.swarthmore.edu/users/99/dwayne/E90_intro.html

It depends on what you want to study. You can check the following examples:

- For electrical analysis of PV/T: Ali H Al-Waeli, Hussein A Kazem, K Sopian and Miqdam T Chaichan, “Techno-economical assessment of grid connected PV/T using nano particles and water as base-fluid systems in Malaysia”, Taylor & Francis-International Journal of Sustainable Energy, UK, May 2018, vol. 37, No. 6, pp. 558-578. Ali H.A. Al-Waeli, Miqdam T. Chaichan, Hussein A. Kazem, K. Sopian, Adnan Ibrahim, Sohif Mat and Mohd Hafidz Ruslan, “Comparison study of indoor/outdoor experiments of a photovoltaic thermal PV/T system containing SiC nanofluid as a coolant”, Elsevier-Energy, (ISSN: 0038092X), UK, Vol. 151, May 2018, pp. 33-44. - For ANN analysis of PV/T Ali H. A. Alwaeli, Hussein A. Kazem, Jabar Yousif, Miqdam T. Chaichan and K. Sopian, “Mathematical and Neural Network Models for Predicting the Electrical Performance of a PV/T system”, Wiley-International Journal of Energy Research, 28 August 2019, Vol. 43, Issue 10, pp. 1-18. Ali H. A. Alwaeli, Hussein A. Kazem, Jabar Yousif, Miqdam T. Chaichan and K. Sopian, “Mathematical and neural network modeling for predicting and analyzing of nanofluid-nano PCM photovoltaic thermal systems performance”, Elsevier-Renewable Energy RE, February 2020, Vol. 145, pp. 963-980. Ali H.A. Al-Waeli, K. Sopian, Jabar Yousif, Hussein A. Kazem, John Boland, Miqdam T. Chaichan, “Artificial neural network modeling and analysis of photovoltaic/thermal system based on the experimental study”, Elsevier-Energy Conversion and Management (ECM, ISSN: 0196-8904), UK, Vol. 186, 15 April 2019, pp. 368–379. - For both electrical and thermal analysis of PV/T: Ali H.A. Al-Waeli, K. Sopian, Hussein A. Kazem, Miqdam T. Chaichan, “Nanofluid based grid connected PV/T systems in Malaysia: A technoeconomical assessment”, Elsevier-Sustainable Energy Technologies & Assessements SETA (ISSN: 22131388), UK, Vol. 28, June 2018, pp. 91-95. Ali H.A. Al-Waeli, K. Sopian, Hussein A. Kazem, Jabar Yousif, Miqdam T. Chaichan, Adnan Ibrahim, Sohif Mat and Mohd Hafidz Ruslan, “Comparison of prediction methods of PV/T nanofluid and nano-PCM system using a measured dataset and Artificial Neural Network”, Elsevier-Solar Energy SE, (ISSN: 0038092X), UK, Vol. 162, March 2018, pp. 378-396. Ali H.A. Al-Waeli, K. Sopian, Miqdam T. Chaichan, Hussein A. Kazem, Adnan Ibrahim, Sohif Mat and Mohd Hafidz Ruslan, “Evaluation of the nanofluid and nano-PCM based photovoltaic thermal (PVT) system: An experimental study”, Elsevier-Energy Conversion and Management (ECM, ISSN: 0196-8904), UK, Vol. 151, November 2017, pp. 693–708. - For thermal analysis of PV/T: Ali H. A. Alwaeli, K. Sopian, and Hussein A. Kazem, Hameed B. Mahood, Anees A. Khadom Miqdam T. Chaichan, “Modeling and experimental validation of a PV/T system using nanofluid coolant and nano-PCM”, Elsevier-Solar Energy SE, (ISSN: 0038092X), UK, Vol. 177, January 2019, pp. 178-191. Ali H.A. Al-Waeli, Miqdam T. Chaichan, Hussein A. Kazem, K. Sopian, “Evaluation and analysis of nanofluid and surfactant impact on photovoltaic-thermal systems”, Elsevier-Case Study of Thermal Engineering, Vol. 13, March 2019, pp. 100392. Ali H.A. Al-Waeli, Miqdam T. Chaichan, K. Sopian, Hussein A. Kazem, “Influence of the base fluid on the thermo-physical properties of PV/T nanofluids with surfactant”, Elsevier-Case Study of Thermal Engineering, Vol. 13, March 2019, pp. 100340. Ali H.A. Al-Waeli, Miqdam T. Chaichan, Hussein A. Kazem, K. Sopian, “Energy Storage: CFD Modeling of Thermal Energy Storage for a Phase Change Materials (PCM) added to a PV/T using nanofluid as a coolant”, Journal of Scientific and Engineering Research (ISSN: 23942630), 2017, Vol. 4, Issue 12, pp. 193-202. - For economic analysis of PV/T: Ali H. A. Alwaeli, Hussein A. Kazem, Miqdam T. Chaichan and K. Sopian, “Experimental investigation of using nano-PCM/nanofluid on a photovoltaic thermal system (PVT): Technical and economic study”, Elsevier-Thermal Science and Engineering Progress (2019), 11, pp.213-230.