%0 Conference Paper
%A Soomro, A.A.
%A Mokhtar, A.A.
%A Akbar, A.
%A Abbasi, A.
%D 2018
%F scholars:9754
%I EDP Sciences
%K Complex networks; Heat storage; Neural networks; Thermal energy, Black-box model; Computational requirements; Exact solution; Modelling techniques; Scientific community; Thermal energy storage tanks, Digital storage
%R 10.1051/matecconf/201822501015
%T Modelling Techniques Used in the Analysis of Stratified Thermal Energy Storage: A Review
%U https://khub.utp.edu.my/scholars/9754/
%V 225
%X Thermal energy storage plays an important role in the energy management and has got great attention for many decades; stratification is a key parameter to be responsible for the performance of the stratified thermal energy storage tank. In this paper detailed study of modelling techniques used to analyse thermal energy storage has been conducted. The division of literature has been made as numerical, analytical, and artificial neural network-based. Numerical modelling being very physical based and required more specific software's tools remain costly and computationally very complex at the same time it provides the detailed insights into the system, analytical model provide the exact solutions but need some assumptions which make the system unrealistic in some cases but is easy and flexible in terms of computational requirements, ANN though recently used modelling technique is a black box model which merely needs the data rather than any physical based complex calculations is attracting the scientific community. © 2018 The Authors, published by EDP Sciences.
%Z cited By 4; Conference of 2018 UTP-UMP-VIT Symposium on Energy Systems, SES 2018 ; Conference Date: 18 September 2018 Through 19 September 2018; Conference Code:141921