Simulated Performance of Packed Bed Solar Energy Storage System having Storage Material Elements of Large Size - Part II

Singh, Ranjit; Saini, R.P.; Saini, J.S.

doi:10.2174/1876973x00801010097

Cited by 11 publications

(3 citation statements)

References 2 publications

(4 reference statements)

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“…Despite the models are already available in literature, only a few details were reported regarding their numerical implementation; thus, the authors present them in this section to highlight their peculiarities and the method that they developed for their mathematical resolution. The model m.1, presented for the first time in 1982 by Howell et al [30], represents one of the most straightforward schemes for packed bed numerical description as demonstrated by its large use in the literature (see, e.g., [13,26,38,41,44,45]). The tank model consists of discretising the bed in N number of elements over the height of L; thus, ∆x = L/N represents the spacing within the bed layers.…”

Section: Conflicts Of Interestmentioning

confidence: 99%

TES-PD: A Fast and Reliable Numerical Model to Predict the Performance of Thermal Reservoir for Electricity Energy Storage Units

Benato

Vanna

Gallo

et al. 2021

Fluids

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The spread of renewable resources, such as wind and solar, is one of the main drivers to move from a fossil-based to a renewable-based power generation system. However, wind and solar production are difficult to predict; hence, to avoid a mismatch between electricity supply and demand, there is a need for energy storage units. To this end, new storage concepts have been proposed, and one of the most promising is to store electricity in the form of heat in a Thermal Energy Storage reservoir. However, in Thermal Energy Storage based systems, the critical component is the storage tank and, in particular, its mathematical model as this plays a crucial role in the storage unit performance estimation. Although the literature presents three modelling approaches, each of them differs in the considered parameters and in the method of modelling the fluid and the solid properties. Therefore, there is a need to clarify the model differences and the parameter influences on plant performance as well as to develop a more complete model. For this purpose, the present work first aim is to compare the models available in the literature to identify their strengths and weaknesses. Then, considering that the models’ comparison showed the importance of adopting temperature-dependent fluid and storage material properties to better predict the system performance, the authors developed a new and more detailed model, named TES-PD, which works with time and space variable fluid and solid properties. In addition, the authors included the tank heat losses and the solid effective thermal conductivity to improve the model accuracy. Based on the comparisons between the TES-PD model and the ones available in the literature, the proposal can better predict the first cycle charging time, as it avoids a 4% underestimation. This model also avoids overestimation of the delivery time, delivered energy, mean generated power and plant round-trip efficiency. Therefore, the results underline that a differential and time-accurate model, like the TES-PD, even if one-dimensional, allows a fast and effective prediction of the performance of both the tank and the storage plant. This is essential information for the preliminary design of innovative large-scale storage units operating with thermal storage.

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Section: Conflicts Of Interestmentioning

confidence: 99%

TES-PD: A Fast and Reliable Numerical Model to Predict the Performance of Thermal Reservoir for Electricity Energy Storage Units

Benato

Vanna

Gallo

et al. 2021

Fluids

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“…sphericity ( ) of material elements and void fraction ( ) of the bed that yield a maximum value of the optimization parameter 'Q at /W t '. In order to carry out the present optimization study, data of total available energy stored in the bed 'Q at ' and total work energy consumption by fan 'W t ' reported by Singh et al [5,6] have been utilized. Accordingly, plots of optimization parameter against void fraction of the bed at different sphericity values of material elements are shown in Fig.…”

Section: Optimization Of System Parametersmentioning

confidence: 99%

“…In order to predict thermal and hydraulic performance of the system, Nusselt number and friction factor correlations as a function of Reynolds number, sphericity and void fraction of the bed are reported by the authors. Based on these correlations, Singh et al [4][5][6] reported simulated performance of packed bed solar energy storage system. It is revealed from the results of simulated performance that there is a need to evaluate optimum values of system parameters in order to have best thermo hydraulic performance of the packed bed solar energy storage system.…”

Section: Introductionmentioning

confidence: 99%

Optimization of System Parameters of Packed Bed Solar Energy Storage System having Storage Material Elements of Large Size

Singh¹,

Saini²,

Saini³

2009

TOEFJ

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Abstract:Major concern for design of a packed bed solar energy storage system is to maximize heat transfer during charging and discharging phase by spending minimum amount of pumping power. Shape of the material elements and void fraction of the bed are the system parameters for a given material size, which could affect heat transfer and pressure drop in the bed considerably. In the present study, simulation has been carried out to evaluate optimum values of system parameters in order to have the best thermo hydraulic performance of packed bed solar energy storage system. Five different shapes of large size material elements have been analyzed to carry out the present optimization study. In order to select optimum values of system parameters under the given operating conditions, design plots have been prepared and presented in the paper.

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Thermo-Hydraulic Performance and Heat Storage of a Packed Bed Solar Energy Storage System Having Large-Sized Perforated Cylinders

Kunwar

Kumar

Chamoli

2020

Advances in Energy Research, Vol. 1

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Simulated Performance of Packed Bed Solar Energy Storage System having Storage Material Elements of Large Size - Part II

Cited by 11 publications

References 2 publications

TES-PD: A Fast and Reliable Numerical Model to Predict the Performance of Thermal Reservoir for Electricity Energy Storage Units

TES-PD: A Fast and Reliable Numerical Model to Predict the Performance of Thermal Reservoir for Electricity Energy Storage Units

Optimization of System Parameters of Packed Bed Solar Energy Storage System having Storage Material Elements of Large Size

Thermo-Hydraulic Performance and Heat Storage of a Packed Bed Solar Energy Storage System Having Large-Sized Perforated Cylinders

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