Calculating the heat loss coefficients for performance modelling of seasonal ice thermal storage

• Main Authors: Allan, J. (Author), Croce, L. (Author), Dott, R. (Author), Georges, G. (Author), Heer, P. (Author)
• Format: Article
• Language: English
• Published: Elsevier Ltd 2022
• Subjects: Cooling; Energy model; Energy modelling; Heat loss coefficients; Heat losses; Heat storage; Heat transfer; Heat transfer properties; Ice; Ice thermal storage; Linear regression optimization; Non-linear optimization; Nonlinear programming; Performance Modeling; Piecewise linear; Seasonal storage; Thermal store
• Online Access: View Fulltext in Publisher
• ISBN: 2352152X (ISSN)
• DOI: 10.1016/j.est.2022.104528

This paper details the use of piece-wise linear regression and non-linear optimisation to determine the heat transfer properties of two ice thermal stores of different volumes (85 m3 and 11 m3). The available energy of each ice storage was determined by the fraction of ice stored in the vessel. The heat loss coefficient was determined using an optimisation algorithm. Using this approach it was possible to determine the heat loss coefficients occurring at different layers of the storage. Validation of the approach yielded a relative mean error of 5.4% and 3.8% for the 85 m3 and 11 m3 storage respectively. This approach is dependent on the measurement of temperature at different segments and the quantity of ice in the storage. It is believed that this approach is scalable and could contribute to a performance database that could provide inputs to energy modelling studies. © 2022 The Authors