文章基本信息

标题：Modelling Techniques Used in The Analysis of Stratified Thermal Energy Storage: A Review
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作者：Afzal Ahmed Soomro ; Ainul Akmar Mokhtar ; Ali Akbar 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2018
卷号：225
页码：1-7
DOI：10.1051/matecconf/201822501015
语种：English
出版社：EDP Sciences
摘要：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.