SAM Process Heat Model Development and Validation: Liquid-HTF Trough and Direct Steam Generation Linear Focus Systems

Kurup, Parthiv; Parikh, Abhishek; Möllenkamp, Jana; Beikircher, Thomas; Samoli, Alexia; Turchi, Craig

doi:10.18086/swc.2017.26.06

Cited by 8 publications

(5 citation statements)

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“…With h the specific enthalpy, m the mass inside the control volume V, S the inner surface of the tube, T the temperature, α heat transfer coefficient and 𝑚̇ the mass flowrate. The asymptotic correlation of Steiner and Taborek [10] is used to describe the saturated flow boiling heat transfer coefficients (3). 𝛼 = ((𝐹 TP × 𝛼 mono ) 3 + (𝐹 NB × 𝛼 NB,0 )…”

Section: The Numerical Modelmentioning

confidence: 99%

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1D modelling of a latent heat thermal energy storage prototype using boiling water as heat transfer fluid

Col,

Bentivoglio,

Stutz

2024

J. Phys.: Conf. Ser.

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This paper presents a numerical model to simulate the thermohydraulic behaviour of a shell-and-tubes Latent Heat Thermal Energy Storage (LHTES) during discharging period, involving a boiling heat transfer fluid (HTF). It is based on a 1D homogeneous approach for the HTF (water) and a 1.5D approach for the phase-change material (sodium nitrate) allowing calculation times significantly shorter than those of CFD. This approach has been validated with experimental data in a previous study for a LHTES with a monophasic HTF. The two highlights of this paper are as follows: On the one hand, computational fluid dynamics has been used to develop equivalent homogeneous materials for PCM side, integrating the thermal properties of the phase-change material and the helical and longitudinal fins present in the LHTES. On the other hand, the model uses the asymptotic correlation of Steiner and Taborek to describe boiling heat transfers and usual correlations for single phase heat transfers. The paper focuses on the validation of the model against experimental data from the InPower project. The prototype is a 340 kWh storage that has been tested under different conditions. The model reproduces the total energy retrieved during a system discharge with relative error of 8.5% and an absolute mean error of 8.23 kW on outlet power. The main weakness of the model is the homogeneous model for the HTF that generates error in water level and local temperatures.

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Section: The Numerical Modelmentioning

confidence: 99%

“…[2] The demand in heat in the industrial sector is subject to rise in the years to come with the industrialization of emerging countries. Thus, renewable sources such as solar heat for industrial process (SHIP) could play a major role in preventing and reducing CO2 emissions [3].…”

Section: Introductionmentioning

confidence: 99%

1D modelling of a latent heat thermal energy storage prototype using boiling water as heat transfer fluid

Col,

Bentivoglio,

Stutz

2024

J. Phys.: Conf. Ser.

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“…(2) a linear focus DSG system, which includes DSG troughs and DSG linear Fresnel collectors. Both the CSP process heat modules have been validated against real operational data ( Kurup et al 2017).…”

Section: Planned Upgrades To the System Advisor Modelmentioning

confidence: 99%

Renewable Thermal Energy Systems: Modeling Developments and Future Directions (Report 3)

Akar

Kurup

Boyd

et al. 2023

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“…The System Advisor Model (SAM) software [27] has also been used to assess the solar yield of concentrating collectors. For instance, SAM is able to model concentrating collectors using liquid heat transfer fluids (HTF) and linear Fresnel collectors for direct steam generation (DSG) [28]. The model was validated by comparing the daily energy output of the simulation with experimental data.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Uncertainties of Simulation Approaches for Solar Thermal Systems Coupled to Industrial Processes

et al. 2022

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Industrial energy accounts for a large percentage of global consumption and, thus, it is a target for decarbonization by renewable and in particular solar energy adoption. Low uncertainty simulation tools can reduce the financial risk of solar projects, fostering the transition to a sustainable energy system. Several simulation tools are readily available to developers; differences exist in the format of input data and complexity of physical and numerical models. These tools can provide a variety of results from technical to financial and sensitivity analysis, often producing significant differences in yield assessment and uncertainty levels. IEA SHC Task 64/SolarPACES Task IV—Subtask C aims to address the lack of standard simulation tools for Solar Heating of Industrial Processes (SHIP) plants. This article describes the collaborative work developed by the researchers participating in the task. The identification and classification of several currently available simulation tools are performed on the basis of their capabilities and simulation approaches. A case study of solar heat supply to a copper mining operation is defined, allowing a comparison of the results produced by equivalent simulation tools. The proposed methodology identifies the main sources of differences among the simulation tools, the assessment of the deviation considering a series of statistical metrics for different time scales, and identifies their limitations and bias. The effects of physical characteristics of SHIP plants and different simulation approaches are discussed and quantified. The obtained results allow us to develop a basic guideline for a standardized yield assessment procedure with known uncertainties. Creating this common framework could partially reduce the risk perceived by the finance industry regarding SHIP systems.

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SAM Process Heat Model Development and Validation: Liquid-HTF Trough and Direct Steam Generation Linear Focus Systems

Cited by 8 publications

References 0 publications

1D modelling of a latent heat thermal energy storage prototype using boiling water as heat transfer fluid

1D modelling of a latent heat thermal energy storage prototype using boiling water as heat transfer fluid

Renewable Thermal Energy Systems: Modeling Developments and Future Directions (Report 3)

Assessing the Uncertainties of Simulation Approaches for Solar Thermal Systems Coupled to Industrial Processes

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