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Архив
Proceedings of the 24th National and 2nd International ISHMT-ASTFE Heat and Mass Transfer Conference (IHMTC-2017)


ISBN Онлайн: 978-1-56700-478-6

Sensible Heat Based Thermal Energy Storage System: Modelling and Parametric Investigations

DOI: 10.1615/IHMTC-2017.3170
pages 2271-2278

K. Vigneshwaran
Centre for Energy, Indian Institute of Technology Guwahati

Ravi Chandra Rao Chilaka
Department of Mechanical Engineering, Indian Institute of Technology Guwahati

Palanisamy Muthukumar
Department of Mechanical Engineering Indian Institute of Technology Guwahati Guwahati

S. Senthilmurugan
Department of Chemical Engineering, Indian Institute of Technology Guwahati

Аннотация

Sensible heat storage technology is considered to be one of the cost effective and energy efficient technology for the heat storage applications such as: concentrated solar power, domestic hot water, industrial process heating, space heating, etc. The simplified mathematical modelling approach for sensible heat storage system (SHS) is captured in this work. One dimensional unsteady state model equation for cylindrical sensible heat storage module is solved using Modelica programming language in Dymola software. The model parameters such as heat transfer coefficient correlations are obtained by minimizing error between unsteady state model prediction and experimental measurements using optimization techniques. The estimated model parameters values are matching well with data reported in the literature. The heat storage module is made of concrete with embedded copper tubes for circulating heat transfer fluid. Therminol 55 is used as the heat transfer fluid. The experiments are performed by varying heat transfer fluid velocity and operating temperatures. The estimated heat storage capacity of the SHS system used in this work is 10 MJ with the temperature range from 333 K to 453 K. The validated model can be used for the design optimization of sensible heat storage system and real time optimization of charging/discharging process. The proposed lumped parameter model can be used as an alternate tool for the performance assessment of any thermal energy storage systems.