Thermal performance of packed bed heat storage system for solar air heaters

Singh, Panna Lal; Deshpandey, S.D.; Jena, Prakash Chandra

doi:10.1016/j.esd.2015.10.010

Cited by 55 publications

(26 citation statements)

References 13 publications

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“…Packed beds (also known as rock beds or pebble beds) consist of a bed of loosely or structurally packed solid materials through which the HTF can flow. For buildings applications, it is usually used in conjunction with air-based solar collectors, either directly integrated into the solar collector (e.g., [55,75,76]) or standing independently as a tank and connected to the solar collector via pipes or ducts (e.g., [77,78]). During the charging phase, heated air from the solar collector passes the pebbles bed from the top down to the bottom to release the heat.…”

Section: Packed Bedmentioning

confidence: 99%

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Energy Storage by Sensible Heat for Buildings

Fan¹

2018

Handbook of Energy Systems in Green Buildings

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This chapter presents a state-of-the-art review on the available thermal energy storage (TES) technologies by sensible heat for building applications. After a brief introduction, the basic principles and the required features for desired sensible heat storage are summarized. Then, material candidates and recent advances on sensible heat or cold storage adapted for building application are discussed, each with its own characteristics, advantages, and limitations. A large section of the chapter is devoted to the sensible TES technologies for buildings, both for short-term (daily) and for long-term (seasonal) storage. Each technology is described in detail including different aspects: basic principle, development status, performance and costs, potential and barriers, today's R&D activity focus, etc. Comparisons on the advantages and limitations between different TES technologies are also made. Finally, conclusions and future directions are summarized.

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Section: Packed Bedmentioning

confidence: 99%

“…Otherwise, the increased solar collector area is needed. Singh et al [78] reported that the heat retrieval efficiency of a packed bed could reach about 75-77%, better than that of PCM-based storage system (66.7-72%).…”

Section: Packed Bedmentioning

confidence: 99%

Energy Storage by Sensible Heat for Buildings

Fan¹

2018

Handbook of Energy Systems in Green Buildings

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“…Hence, the main aim is to increase the heat transfer coefficient and thereby the heat flow rate. This objective can be achieved by using extended surfaces [1] or artificial roughness [2][3][4][5] on the absorber plate on the air flow side, or porous heat absorbing materials in the air flow duct of SAH [6,7].…”

Section: Introductionmentioning

confidence: 99%

Development of Feed-Forward Back-Propagation Neural Model to Predict the Energy and Exergy Analysis of Solar Air Heater

Ghritlahre¹

2018

Tr Ren Energy

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In the present work, Artificial Neural Network (ANN) model has been developed to predict the energy and exergy efficiency of a roughened solar air heater (SAH). Total fifty data sets of samples, obtained by conducting experiments on SAHs with three different specification of wire-rib roughness on the absorber plates, have been used in this work. These experimental data and calculated values of thermal efficiency and exergy efficiency have been used to develop an ANN model. Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG) learning algorithm were used to train the proposed ANN model. Six numbers of neurons were found with LM learning algorithm in the hidden layer as the optimal value on the basis of statistical error analysis. In the input layer, the time of experiments, mass flow rate, ambient temperature, mean temperature of air, absorber plate temperature and solar radiation intensity have been taken as input parameters; and energy efficiency and exergy efficiency have been taken as output parameters in the output layer. The 6-6-2 neural model has been obtained as the optimal model for prediction. Performance predictions using ANN were compared with the experimental data and a close agreement was observed. Statistical error analysis was used to evaluate the results.

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“…They concluded that using thermal storage medium can be a good choice in the improvement of energy efficiency of current SAHs. Singh and colleagues investigated thermal performance of a rock pebbles packed bed solar heat storage system under different solar and ambient circumstances. They perceived that the solar collection and heat retrieval efficiency of the heat storage system ranged between 36% to 51% and 75% to 77%, respectively.…”

Section: Introductionmentioning

confidence: 99%

Energy and Exergy Analysis of a Single-Pass Sequenced Array Baffled Solar Air Heater with Packed Bed Latent Storage Unit for Nocturnal Use

Ghiami

Kianifar

Aryana

et al. 2016

Heat Trans. Asian Res.

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The current study presents an experimental investigation on evaluation of thermal performance of a single-pass double-glazed solar air heater with the use of packed bed paraffin wax as a phase change material (PCM). Moreover, the absorber plate is equipped with baffles attached over its top. Galvanized sheets with a thickness of 0.4 mm and total surface areas of 30 cm 2 are chosen as baffles that are placed in a sequential manner over the absorber plate. The solar energy was stored in the packed bed PCM during the diurnal period (charging process) and was released at night for nocturnal use (discharging process). The tests were performed at three different mass flow rates of 0.009 kg∕s, 0.014kg∕s, and 0.017kg∕s, resulting in the creation of different Reynolds numbers along the channel. The measured parameters were inlet, outlet, and the PCM temperatures under the meteorological condition of Mashhad, Iran. Energy and exergy efficiencies of the system have been calculated according to the first and second laws of thermodynamics. The experimental results illustrate that the daily energy efficiency varied between 20.7% and 26.8%, whereas the daily exergy efficiency varied between 10.

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Thermal performance of packed bed heat storage system for solar air heaters

Cited by 55 publications

References 13 publications

Energy Storage by Sensible Heat for Buildings

Energy Storage by Sensible Heat for Buildings

Development of Feed-Forward Back-Propagation Neural Model to Predict the Energy and Exergy Analysis of Solar Air Heater

Energy and Exergy Analysis of a Single-Pass Sequenced Array Baffled Solar Air Heater with Packed Bed Latent Storage Unit for Nocturnal Use

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