Development and Analysis of a Multi-Node Dynamic Model for the Simulation of Stratified Thermal Energy Storage
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...
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| Format: | Article |
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MDPI AG
2019-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/22/4275 |
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| author | Nora Cadau Andrea De Lorenzi Agostino Gambarotta Mirko Morini Michele Rossi |
| author_facet | Nora Cadau Andrea De Lorenzi Agostino Gambarotta Mirko Morini Michele Rossi |
| author_sort | Nora Cadau |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T20:51:18Z |
| format | Article |
| id | doaj.art-b5c8fd7582bc436fb40ee4b575056501 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T20:51:18Z |
| publishDate | 2019-11-01 |
| publisher | MDPI AG |
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| series | Energies |
| spelling | doaj.art-b5c8fd7582bc436fb40ee4b5750565012022-12-22T04:03:51ZengMDPI AGEnergies1996-10732019-11-011222427510.3390/en12224275en12224275Development and Analysis of a Multi-Node Dynamic Model for the Simulation of Stratified Thermal Energy StorageNora Cadau0Andrea De Lorenzi1Agostino Gambarotta2Mirko Morini3Michele Rossi4CIDEA—Center for Energy and Environment, University of Parma, Parco Area delle Scienze 42/a, 43125 Parma, ItalyCIDEA—Center for Energy and Environment, University of Parma, Parco Area delle Scienze 42/a, 43125 Parma, ItalyCIDEA—Center for Energy and Environment, University of Parma, Parco Area delle Scienze 42/a, 43125 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/a, 43125 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/a, 43125 Parma, ItalyTo 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.https://www.mdpi.com/1996-1073/12/22/4275thermal energy storagestratificationdynamic simulationheating |
| spellingShingle | Nora Cadau Andrea De Lorenzi Agostino Gambarotta Mirko Morini Michele Rossi Development and Analysis of a Multi-Node Dynamic Model for the Simulation of Stratified Thermal Energy Storage Energies thermal energy storage stratification dynamic simulation heating |
| title | Development and Analysis of a Multi-Node Dynamic Model for the Simulation of Stratified Thermal Energy Storage |
| title_full | Development and Analysis of a Multi-Node Dynamic Model for the Simulation of Stratified Thermal Energy Storage |
| title_fullStr | Development and Analysis of a Multi-Node Dynamic Model for the Simulation of Stratified Thermal Energy Storage |
| title_full_unstemmed | Development and Analysis of a Multi-Node Dynamic Model for the Simulation of Stratified Thermal Energy Storage |
| title_short | Development and Analysis of a Multi-Node Dynamic Model for the Simulation of Stratified Thermal Energy Storage |
| title_sort | development and analysis of a multi node dynamic model for the simulation of stratified thermal energy storage |
| topic | thermal energy storage stratification dynamic simulation heating |
| url | https://www.mdpi.com/1996-1073/12/22/4275 |
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