Modelling stratified thermal energy storage tanks using an advanced flowrate distribution of the received flow

E. Saloux and J.A. Candanedo

Applied Energy, 2019, vol. 241, issue C, 34-45

Abstract: Energy storage plays a central role in managing energy resources and demand. Among the numerous energy storage technologies, stratified storage tanks are a promising option, but their operation requires to be finely tuned in order to optimize their utilization. Accurate models are required to properly design and control such systems. In this paper, an advanced flowrate distribution of the flow entering the tank is developed for modelling stratified storage tanks based on a nodal approach. The model is calibrated and validated with the measurements of a 240-m3 water tank used in a solar community district heating system. The effects of the model parameters and the simulation time step on the model accuracy are also investigated and the selection of the optimal number of nodes must be carefully performed along with the simulation time step. Overall, the proposed model achieves better results than the traditional method and is suitable to be used in applications such as design optimization problems and model predictive control.

Keywords: Thermal energy storage; Thermal stratification; Water tanks; Modelling; Nodal methods; Calibration (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261919303721
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:241:y:2019:i:c:p:34-45

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2019.02.075

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().