Comparison between models for the simulation of hot water storage tanks

Oliveski, Rejane De Césaro; Krenzinger, Arno; Vielmo, Horácio A.

doi:10.1016/j.solener.2003.07.009

Cited by 71 publications

(4 citation statements)

References 19 publications

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“…On the other hand, numerical models have been implemented to study thermal performance in water tanks in [5], [28], [29]. Moreover, experimental data from solar storage tanks were compared with different numerical solutions in [30], [31]. In this context, 1D models are not able to adequately characterize flow structure [1] and current numerical studies are mainly two-dimensional [32]- [35].…”

Section: Introduction and Objectivesmentioning

confidence: 99%

Simple inlet devices and their influence on thermal stratification in a hot water storage tank

Moncho-Esteve

Gasque

González-Altozano

et al. 2017

Energy and Buildings

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Section: Introduction and Objectivesmentioning

confidence: 99%

Simple inlet devices and their influence on thermal stratification in a hot water storage tank

Moncho-Esteve

Gasque

González-Altozano

et al. 2017

Energy and Buildings

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“…The simulation of the stratification effect is important as this increases the performance of the tank and it is closely linked with the dynamic operation of the plant especially when performing cost based operational optimisation (Campos Celador et al, 2011). In the literature (Table 2 & Table 3), most works focusing on optimisation for design of energy systems apply mixed storage tanks, however they highly recommend to continue further research for optimal scheduling applying at least a simple stratified tank model (Campos Celador et al, 2011;De Césaro Oliveski et al, 2003) The model of the thermal storages in this work is based on a 1-D dynamic multilayer model using the Fourier's equation (Eicker, 2006;Streckiene et al, 2011). This analytical model summarises the complex thermal flux using an effective vertical heat conductivity coefficient 𝜆 𝑒𝑓𝑓 .…”

Section: Thermal Energy Storage (Htes and Ctes) Modelmentioning

confidence: 99%

Development and experimental evaluation of grey-box models of a microscale polygeneration system for application in optimal control

Sawant

Bürger

Doan

et al. 2020

Energy and Buildings

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With the need for optimisation based supervisory controllers for complex energy systems, comes the need for reduced order system models representing not only the non-linear characteristics of the components, but also certain unknown process dynamics like their internal control logic. We present in this paper an extensive literature study of existing methods and a rational modelling procedure based on the grey-box methodology that satisfies the necessary characteristics for models to be applied in an economic-MPC of a real-world polygeneration system at the Offenburg University of Applied Sciences. The engineering application of the models and their fitting coefficients are shared in this paper. Finally, the models are evaluated against experimental data and the efficacy of the methodology is discussed based on quantitative and qualitative arguments.

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“…Within the 2D-3D models, the zonal approach is a 3D finite-volume method with a coarse mesh based on mass and energy balances [29], instead the CFD [30,31] is a finite element method governed by mass, energy, and momentum conservation laws.…”

Section: Literature Reviewmentioning

confidence: 99%

Development and Analysis of a Multi-Node Dynamic Model for the Simulation of Stratified Thermal Energy Storage

et al. 2019

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To overcome non-programmability issues that limit the market penetration of renewable energies, the use of thermal energy storage has become more and more significant in several applications where there is a need for decoupling between energy supply and demand. The aim of this paper is to present a multi-node physics-based model for the simulation of stratified thermal energy storage, which allows the required level of detail in temperature vertical distribution to be varied simply by choosing the number of nodes and their relative dimensions. Thanks to the chosen causality structure, this model can be implemented into a library of components for the dynamic simulation of smart energy systems. Hence, unlike most of the solutions proposed in the literature, thermal energy storage can be considered not only as a stand-alone component, but also as an important part of a more complex system. Moreover, the model behavior has been analyzed with reference to the experimental results from the literature. The results make it possible to conclude that the model is able to accurately predict the temperature distribution within a stratified storage tank typically used in a district heating network with limitations when dealing with small storage volumes and high flow rates.

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Comparison between models for the simulation of hot water storage tanks

Cited by 71 publications

References 19 publications

Simple inlet devices and their influence on thermal stratification in a hot water storage tank

Simple inlet devices and their influence on thermal stratification in a hot water storage tank

Development and experimental evaluation of grey-box models of a microscale polygeneration system for application in optimal control

Development and Analysis of a Multi-Node Dynamic Model for the Simulation of Stratified Thermal Energy Storage

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