top of page
This site was designed with the
.com
website builder. Create your website today.Start Now

Parametric Study of Solar Pond and its Prediction of Performance Parameters Using Artificial Neural Networks

Jaswant Jayacumaar      , Joshua Dominic      , Karunamurthy K  

  School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India

ORCID_iD logo.png
ORCID_iD logo.png
ORCID_iD logo.png

1

1

1

1

ABSTRACT
There is a growing need to identify the adjustments required to enhance the functioning of a solar pond, especially when there are certain technical or geographical constraints. Some proven performance-enhancing techniques such as incorporating Low-Temperature Energy Storage (LTES) system in the Lower Convective Zone (LCZ) and by placing twisted tape inserts in the flow passage of the heat exchanger were incorporated. The readings were taken for both laminar & turbulent conditions. Developed an artificial neural network (ANN) model with a 5-15-3 neuron configuration to predict the performance parameters such as outlet water temperature, the efficiency of the solar pond, and the effectiveness of the heat exchanger. The data collected during experimentation is used as the training set, and random experimental data was used to validate the model. The geometry of a 5-pass heat exchanger and a twisted tape were developed using ANSYS Design Modeler 19.0 and computational fluid dynamics (CFD) analyses were carried to investigate the effect of twisted tape inserts in the heat exchanger. It is inferred from the experimentation that providing twisted tape inserts improves the thermal performance of the heat exchanger and LTES increases the period of operation by increasing the thermal energy storage capacity of the solar pond. By using the ANN model, the degree of accuracy for the prediction of outlet water temperature is 98.63%, 97.58% for the efficiency of the solar pond, and 97.05% for the effectiveness of the heat exchanger. The correlation coefficients (R2) are 0.9735, 0.9941, and 0.9341, respectively. The error values of the prediction model are well within the desired tolerance. Thus, ANN can be used to obtain the performance parameters for different conditions of SGSP. From the CFD results, it is conclusive that the twisted tape inserts have a significant effect in laminar flow than turbulent flow.

Key Words: Solar Pond, Twisted Tape Inserts, Nanoparticles, Artificial Neural Networks, CFD Simulation

This thesis was submitted in partial fulfillment of the requirements for the degree of  Bachelor of Technology in Mechanical Engineering at Vellore Institute of Technology

Jayacumaar, J., Dominic, J., Karunamurthy, K., (2021). Performance Analysis of Solar Pond and its Prediction. Journal of Thermal Engineering (Manuscript ID: JTEN-2021-445, Under review)

Advisor: Dr. Karunamurthy K
                   Associate Professor, School of Mechanical Engineering
                   Vellore Institute of Technology
                   Chennai, Tamil Nadu, India

REFERENCES

Avinash P. Shinde, Mahadev L.Shinde, Sagar S. Yadav, Manasvi R. Surve, A.S. Futane, Mainak Bhaumik. Performance Analysis of Heat Exchanger using CFD. International Journal of Innovative Research in Science, Engineering and Technology 2018;7(3):3053-63. doi:10.15680/IJIRSET.2018.0703072

C Kaviarasu & D Prakash. Review on Phase Change Materials with Nanoparticle in Engineering Applications. Journal of Engineering Science and Technology Review 2018;9(4):26-36 doi:10.25103/jestr.094.05

Hina Gulati. Predictive Analytics Using Data Mining Technique. 2nd International Conference on Computing for Sustainable Global Development (INDIAcom), New Delhi, India, 2015; p. 713-6.

Karunamurthy, K., Murugumohankumar, K. & Suresh, S., Performance analysis of an in-pond heat exchanger of a salt gradient solar pond. Appl. Sol. Energy 2014;50:84–89 doi:10.3103/S0003701X14020091

Yaïci, W. and Entchev, E., Performance prediction of a solar thermal energy system using artificial neural networks. Applied Thermal Engineering 2014;73(1): 1348–59.

Saleh, A, Qudeiri, JA & Al-Nimr, MA. Performance investigation of a salt gradient solar pond coupled with desalination facility near the Dead Sea. Energy 2011;36(2):922-31. doi:10.1016/j.energy.2010.12.018

Mohanraj, M., Jayaraj, S. and Muraleedharan, C., Performance prediction of a direct expansion solar assisted heat pump using artificial neural networks. Applied Energy 2009;6(9):1442–9.

Bezir, N.C., Donmez, O., Kayali, R., and Ozek, N., Numerical and experimental analysis of a salt gradient solar pond performance with and without reflective covered surface. Appl. Energy 2008;85:1102–12.

Huseyin Kurt, Mehmet Ozkaymak & Korhan Binark, A. Experimental and numerical analysis of sodium-carbonate salt gradient solar-pond performance under simulated solar-radiation. Applied Energy 2006; 83(4):324-42. doi:10.1016/j.apenergy.2005.03.001

Lokanath, M S & Misal, R D. An experimental study on the performance of plate heat exchanger and an augmented shell and tube heat exchanger for different types of fluids for marine applications. Proceedings of 5th ISHMT – ASME Heat and Mass Transfer Conference’, India, 2002; p. 863-8.

Ramakrishna Murthy, G R & Pandey, K P. Scope of fertiliser solar ponds in Indian agriculture. Energy 2002; 27(2):117-26. doi:10.1016/S0360-5442(01)00059-7

Wang, L & Sunden, B. Performance comparison of some tube inserts. International Communications in Heat and Mass Transfer 2002;29(1):45-56. doi:10.1016/S0735-1933(01)00323-2

Saha, S K & Dutta, A. Thermohydraulic study of laminar swirl flow through a circular tube fitted with twisted tapes. ASME Journal of Heat Transfer 2001;123(3):417-27. doi:10.1115/1.1370500

Saha, S K, Dutta, A & Dhal, S K. Friction and heat transfer characteristics of laminar swirl flow through a circular tube fitted with regularly spaced twisted-tape elements. International Journal of Heat and Mass Transfer 2001;44(22):4211-23. doi:10.1016/S0017-9310(01)00077-1

Tariq, A, Kant, K & Panigrahi, P K. Heat transfer enhancement using an internally threaded tube. Proceedings of 4th ISHMT–ASME Heat and Mass Transfer Conference, India, 2000; p. 277-81.

Amit Kumar & Kishore, V V N. Construction and operational experience of a 6000 m2 solar pond at Kutch, India. Solar Energy 1999;65(4):237-49. doi:10.1016/S0038-092X(98)00134-0

Saha, S K & Chakraborty, D. Heat transfer and pressure drop characteristics of laminar flow through a circular tube fitted with regularly spaced twisted tape elements with multiple twists. Proceedings of 3rd ISHMT – ASME Heat and Mass Transfer Conference, India, 1997; p. 313-8.

Manglik, R M & Bergles, AE. Heat transfer enhancement and pressure drop in viscous liquid flows in isothermal tubes with twisted-tape inserts. Warme- und Stoffubertragung 1992; 27:249-57. doi:10.1007/BF01589923

Arbel, A & Sokolov, M. Greenhouse Heating with a Fresh Water Floating Collectors Solar Pond: A Feasibility Study. Journal of Solar Energy Engineering 1991;113(2):66-72. doi:10.1115/1.2929960

Kudish A I. Solar energy in agriculture. Water desalination 1991; 4:255–6.

Sokolov, M & Arbel, A. Freshwater floating-collector-type solar pond. Solar Energy 1990;44(1):13-21. doi:10.1016/0038-092X(90)90022-5

Sharma MP, Pandey KP, Singh K. Solar energy-based heat therapy system for controlling sugarcane diseases. Invent Intell 1985; 393–5.

A. Abhat, Solar Energy 1983, 30, 313.

Styris, DL & Harling, OK. The non convecting solar pond applied to building and process heating. Solar Energy 1976; 18:245-51.

Rabl A, Nielsen,C E. Solar ponds for space heating. Solar Energy 1975; 17(1):1-12. doi:10.1016/0038-092X(75)90011-0

Kreith, F & Margolis, D. Heat transfer and friction in turbulent vortex flow. Applied Scientific Research 1959; 8:457-73. doi:10.1007/BF00411769

Royds, R. Heat Transmission by Radiation, Conduction and Convection. 1st edition, Constable and Camp Limited, London, 1921; p. 190-201.

bottom of page