Development and Validation of a Latent Thermal Energy Storage Model Using Modelica

Helmns, Dre; Blum, D.; Dutton, Spencer; Carey, Van P.

doi:10.3390/en14010194

Cited by 5 publications

(7 citation statements)

References 40 publications

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“…The effect of natural convection on the PCM side is included along with that of conduction in a liquid PCM [18,[29][30][31]. The following assumptions were considered: the PCM is homogeneous and isotropic [21,22,26], the physical properties of the HTF, tubes and fins are constant [21][22][23][24][25][26], and the HTF flow is laminar. Natural convection effects in a liquid PCM are included through an equivalent thermal conductivity coefficient [32][33][34].…”

Section: Computational Modelmentioning

confidence: 99%

“…LTES is divided into isothermal segments in the HTF flow direction [24]. The thermal resistance through the fins is included through fin efficiency [25].…”

Section: Computational Modelmentioning

confidence: 99%

“…Thermal resistance due to conductive heat transfer through fins is included through fin efficiency [25], which is defined as:…”

Section: Computational Modelmentioning

confidence: 99%

“…Helmns et al [25] developed and validated a dimensionless first-principles LTES model for use in Modelica. The authors modeled a LTES with an inorganic PCM, encapsulated in rectangular modules with HTF flowing around them.…”

Section: Introductionmentioning

confidence: 99%

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Computational Model of Shell and Finned Tube Latent Thermal Energy Storage Developed as a New TRNSYS Type

2022

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This paper presents the development of a computational model of latent thermal energy storage (LTES) in a shell and tube configuration with longitudinal fins. The model describes the physical process of transient heat transfer between the heat transfer fluid (HTF) and the phase change material (PCM) in LTES. For modeling the phase change of the PCM, the enthalpy formulation was used. Based on a one-dimensional computational model, a new Trnsys type was developed and written in Fortran. Validation of the LTES model was performed by comparing numerically and experimentally obtained data for the melting and solidification of paraffin RT 25 as the PCM and water as the HTF. Numerical investigations of the effect of HTF inlet temperature and HTF flow rate on heat transfer in LTES confirmed that significant improvement in heat transfer between the HTF and PCM could be achieved by increasing the HTF inlet temperature during charging or decreasing the HTF inlet temperature during discharging. Increasing the HTF flow rate did not significantly improve the heat transfer between the HTF and PCM, both during charging and discharging. The presented, experimentally validated LTES model could be used to analyze the feasibility of integrating LTES into various thermal systems and ultimately help define the specific benefits of implementing LTES systems.

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Section: Computational Modelmentioning

confidence: 99%

“…LTES is divided into isothermal segments in the HTF flow direction [24]. The thermal resistance through the fins is included through fin efficiency [25].…”

Section: Computational Modelmentioning

confidence: 99%

“…Thermal resistance due to conductive heat transfer through fins is included through fin efficiency [25], which is defined as:…”

Section: Computational Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Computational Model of Shell and Finned Tube Latent Thermal Energy Storage Developed as a New TRNSYS Type

2022

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“…Fig. 3 provides typical values for remanence, coercivity, and the temperature coefficient of remanence for popular permanent magnetic materials [22] .…”

Section: Figurementioning

confidence: 99%

Variety of Characteristic Magnetic Material on Permanent Magnet Synchronous Generator (PMSG)

Baqaruzi

Mustaqim

Yunesti

et al. 2022

JTS

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Wind energy conversion system, one of the main components is a Permanent Magnet Synchronous Generator (PMSG). During the past two decades, many types of permanent magnet generators for wind power applications have been the research topic.This study focuses primarily on designing a PMSG to create, simulate, and analyze an internal permanent magnet topology with twelve plots and eight poles. We limit with the simulation was carried out at a rotational speed of 1000rpm, and a type of permanent magnet material, Ceramic 11, SmCo 26/26, and NdFeB 48/11. The result of the analysis is that permanent magnets applied in the design of a generator impact its output power and efficiency. At 15 Ω and 60 Ω loads, SmCo 26/26 and NdFeB 48/11 are the only ones that fulfill the specified requirements in this investigation.The permanent magnet type with the most optimal characteristics is Neodymium Iron Boron 48/11 because it has a high flux density, thus causing the electrical energy generated to be greater than other types of permanent magnets. The 48/11 NdFeB permanent magnet generates the most output power, 2110.86 W when loaded with 15 Ω. The best efficiency of 89.38 percent for the PMSG 12 slot eight poles occurs when the load is 15 on the 48/11 NdFeB permanent magnet.

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slPCMlib: A Modelica Library for the Prediction of Effective Thermal Material Properties of Solid/Liquid Phase Change Materials (PCM)

Barz¹,

Bres²,

Emhofer³

2022

Linköping Electronic Conference Proceedings

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slPCMlib predicts the effective thermal properties of solid/liquid phase change materials (PCM) showing a non-isothermal phase transition behavior. The effective properties are valid over the PCM functional temperature range where latent heat is absorbed and released. Different phenomenological phase transition models are implemented to account for temperature shifts in latent transition changes, e.g. due to multi-step transitions and thermal hysteresis. The library currently contains generic PCM and specific commercial paraffin-based and hydrated salt-based PCM (media). Its purpose is the analysis of partial and complete melting and solidification processes relevant for engineering applications, such as the design of PCM-enhanced building components.

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Development and Validation of a Latent Thermal Energy Storage Model Using Modelica

Cited by 5 publications

References 40 publications

Computational Model of Shell and Finned Tube Latent Thermal Energy Storage Developed as a New TRNSYS Type

Computational Model of Shell and Finned Tube Latent Thermal Energy Storage Developed as a New TRNSYS Type

Variety of Characteristic Magnetic Material on Permanent Magnet Synchronous Generator (PMSG)

slPCMlib: A Modelica Library for the Prediction of Effective Thermal Material Properties of Solid/Liquid Phase Change Materials (PCM)

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