Simulations of air-blown thermal storage in a rock bed

Barton, N. G.

doi:10.1016/j.applthermaleng.2013.03.002

Cited by 34 publications

(25 citation statements)

References 14 publications

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“…Although the actual efficiency of the thermocline storage is determined by these effects, only two recent publications investigated the dynamic behaviour of a CSP rock-bed storage subjected to a series of consecutive cycles. Barton (2013) and Hänchen et al (2011) found that the highest efficiency is reached for large storage heights, smallest particle diameter, low mass flow rates and filler materials with small volumetric heat capacity, respectively. Barton (2013) also considered heat transfer in individual rock particles, concluding that ignoring this effect causes only negligible discrepancy.…”

Section: Introductionmentioning

confidence: 99%

“…Barton (2013) and Hänchen et al (2011) found that the highest efficiency is reached for large storage heights, smallest particle diameter, low mass flow rates and filler materials with small volumetric heat capacity, respectively. Barton (2013) also considered heat transfer in individual rock particles, concluding that ignoring this effect causes only negligible discrepancy. The present work uses a similar modelling approach but nevertheless differs significantly as follows: (i) the model assumes a packed bed of non-spherical particles, (ii) particle fragmentation due to thermal shock is considered, (iii) thermal conductivity and specific heat capacity of the filler material vary with temperature, (iv) only heat discharged at high temperatures is considered useful energy and, (v) the electrical efficiency penalty for storage integration in a solar power plant is studied.…”

Section: Introductionmentioning

confidence: 99%

“…The aforementioned studies (Barton, 2013;Hänchen et al, 2011) conclude that compressor work is not a significant parameter. However, the researchers use the common Ergun correlation, which systematically under predicts the pressure drop of single-phase flow over non-spherical particles (Nemec and Levec, 2005).…”

Section: Introductionmentioning

confidence: 99%

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Dynamic simulation of integrated rock-bed thermocline storage for concentrated solar power

et al. 2014

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic simulation of integrated rock-bed thermocline storage for concentrated solar power

et al. 2014

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“…Zanganeh [5], Hänchen et al [6], Zavattoni et al [7], and Barton [8] investigated performance analysis of sensible thermal storage system by numerical methods. Furthermore, experimental investigations of sensible thermal storage for solar cooking were done by Okello et al [9], Hänchen et al [6] and Allen et al [10].…”

Section: Introductionmentioning

confidence: 99%

Performance of a Pebble Bed Thermal Storage Integrated with Concentrating Parabolic Solar Collector for Cooking

Kedida

Amibe

Birhane

2019

Journal of Renewable Energy

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Cooking using biomass, which is commonly practiced in developing countries, causes rampant deforestation and exposure to emission. Hence, utilization of solar energy for cooking is a green solution. As solar radiation is not available at every hour of the day, thermal storage is essential for availing thermal energy at required time of use. erefore, this work investigates the e ciency of solar cooker with parabolic concentrating collector integrated with thermal storage using 1D nite di erence computational model. A cook stove on packed pebble bed thermal storage having 0.3 m diameter and 0.9 m height and a storage capacity of 40.1 MJ of energy during a clear day and 12.85 MJ energy was simulated for charging and discharging (cooking), under Addis Ababa climatic condition for days, with highest and lowest solar irradiance and thermal storage e ciency of 66.7%, cooker thermal e ciency of 45% during discharging of heat by forced convection, and 41% during discharging of heat by conduction, were obtained for the day with the highest solar irradiance. e overall e ciency of the cook stove with thermal storage was 30% and 22% for discharging by forced convection and conduction, respectively. For the day with lowest beam solar irradiance, the storage, thermal and overall e ciencies were 70.9%, 31.1% and 22.0%, respectively. Hence, it can be concluded that solar concentrating cookers with thermal storage can have an overall cooking e ciency between 22% and 30% on a clear sky day when the Sun is overhead in tropical areas.

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“…Zalba et al [14] summarized the study of thermal energy storage, including materials, heat transfer and applications. Barton [15] presented simulation of thermal storage in a rock bed by considering the temperature-dependent density, and the effects of particle size, depth of bed and air flow rate were investigated. Bindra et al [16] analyzed the recovered and lost exergy of PBTES system during cyclic storage and recovery.…”

Section: Introductionmentioning

confidence: 99%