Multi-objective Design Optimization of Ice Thermal Energy Storage System Using Jaya Algorithm and Its Variants
- 303 Downloads
This chapter presents the details of the performance optimization of an Ice Thermal Energy Storage (ITES) system carried out using TLBO algorithm, Jaya and self-adaptive Jaya algorithms. The results achieved by using Jaya and self-adaptive Jaya algorithms are compared with those obtained by using the GA and TLBO techniques for ITES system with phase change material (PCM). In ITES system, two objective functions including exergy efficiency (to be maximized) and total cost rate (to be minimized) of the whole system are considered. The Jaya and self-adaptive Jaya algorithms are proved superior to GA and TLBO optimization algorithms in terms of robustness of the results. The self-adaptive Jaya takes less computational time and the function evaluations as compared to the other algorithms.
KeywordsJaya Algorithm Phase Change Materials (PCM) Exergy Efficiency Total Cost Rate TLBO Algorithm
- Stritih, U., & Butala, V. (2007). Energy saving in building with PCM cold storage. International Journal of Energy Research, 31, 1532–1544.Google Scholar