Abstract
This chapter presents the application of the TLBO and the ETLBO algorithms for the design optimization of a smooth flat plate solar air heater. The design results obtained by the TLBO and the ETLBO algorithms are found superior or competitive to the results given by GA, SA, and PSO algorithms.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Deb, K., 2000. An efficient constraint handling method for genetic algorithm, Computer Methods in Applied Mechanics and Engineering 186, 311–338.
Klien, S.A., 1975. Calculation of flat plate loss coefficients. Solar Energy 17, 79–80.
Rao, R.V., Waghmare, G., 2015. Optimization of thermal performance of a smooth flat plate solar air heater using teaching-learning-based optimization algorithm. Cogent Engineering, doi:10.1080/23311916.2014.997421.
Siddhartha, Sharma, N., Varun, 2012. A particle swarm optimization algorithm for optimization of thermal performance of a smooth flat plate solar air heater. Energy 38, 406–413.
Varun, Siddhartha, 2010. Thermal performance optimization of a flat plate solar air heater using genetic algorithm. Applied Energy 87, 1793–1799.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Rao, R.V. (2016). Design of a Smooth Flat Plate Solar Air Heater Using TLBO and ETLBO Algorithms. In: Teaching Learning Based Optimization Algorithm. Springer, Cham. https://doi.org/10.1007/978-3-319-22732-0_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-22732-0_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-22731-3
Online ISBN: 978-3-319-22732-0
eBook Packages: EngineeringEngineering (R0)