Simulation on transportation safety of ice slurry in ice cooling system of buildings

Tian, Qiqi; He, Guogeng; Wang, Hong; Cai, Dehua

doi:10.1016/j.enbuild.2013.12.033

Cited by 45 publications

(11 citation statements)

References 22 publications

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“…It is impossible to model a phenomenon when a complex process occurs at the same time, and thus two-phase flow must be considered [7][8][9][10][11][12]. Moreover, mixing occurs inside conduits when soil enters them [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Predicting Sedimentation in Urban Sewer Conduits

Yangho

Yun

Lee

et al. 2018

Water

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Sedimentation commonly occurs in urban drainage systems, disrupts flow, and is one of the major causes of inundation. The complicated phenomena that alter the cross-section of sewer conduits include transportation, precipitation, and sedimentation, and need to be analyzed for the proper design and efficient maintenance of urban drainage systems. In this study, the discharge capacity of urban drainage systems is simulated and analyzed by considering the pattern of flow of sediments in sewer conduits through a numerical analysis model. The sites of the highest and lowest accumulation of soil were examined as sedimentation occurred, as was discharge due to accumulation in sewer conduits. The purpose of this study is the examination of mathematical models for two-phase fluid flow analysis and the prediction of sedimentation in urban sewer conduits. An expression for the height of the sedimentation was obtained to assess the discharge capacity of urban drainage systems, and a model to predict accumulation in sewer conduits was developed using non-dimensional variables for inlet velocity, inlet particle volume fraction, and particle size. When subjected to linear regression analysis, the model yielded a high correlation coefficient (R 2 ) of 0.899. This satisfied the aims of this study, to obtain a higher discharge capacity and a plan for the design of urban drainage systems.

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Section: Introductionmentioning

confidence: 99%

Predicting Sedimentation in Urban Sewer Conduits

Yangho

Yun

Lee

et al. 2018

Water

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“…In previous studies, the onset nucleation time (beginning freezing time) [14,23,24], total freezing time (complete charging time) [14,16,17,[19][20][21]24,26,28,29], or half crystallization time [15,27] were applied to characterize the performance of nanofluid PCMs. For example, the ice packing factor of ice slurry is usually less than 50% [56][57][58] Moreover, reports showed that 50% mass of nanofluid PCM is solidified during 25% of total solidification time [19]. There are two reasons for choosing HFT to characterize the nanofluids.…”

Section: Subcooling Degree and Half Freezing Timementioning

confidence: 99%

“…Second, aqueous PCM is usually not totally frozen in applications such as ice storage air-conditioning in order to maintain flow ability. For example, the ice packing factor of ice slurry is usually less than 50% [56][57][58] Moreover, reports showed that 50% mass of nanofluid PCM is solidified during 25% of total solidification time [19]. Thus, using the nanofluid PCM with 50% ice packing factor in order to achieve high efficiency of charging/discharging of the latent heat of the PCM is reasonable.…”

Section: Subcooling Degree and Half Freezing Timementioning

confidence: 99%

Phase change characteristics of ethylene glycol solution-based nanofluids for subzero thermal energy storage

Zhu

Yin

et al. 2016

Int. J. Energy Res.

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Summary Nanofluids, particularly water‐based nanofluids, have been extensively studied as liquid–solid phase change materials (PCMs) for thermal energy storage (TES). In this study, nanofluids with aqueous ethylene glycol (EG) solution as the base fluid are proposed as a novel PCM for cold thermal energy storage. Nanofluids were prepared by dispersing 0.1–0.4 wt% TiO2 nanoparticles into 12, 22, and 34 vol.% EG solutions. The dispersion stability of the nanofluids was evaluated by Turbiscan Lab. The liquid–solid phase change characteristics of the nanofluids were also investigated. Phase change temperature (PCT), nucleation temperature, and half freezing time (HFT) were investigated in freezing experiments. Subcooling degree and HFT reduction were then calculated. Latent heat of solidification was measured using differential scanning calorimetry. Thermal conductivity was determined using the hot disk thermal constant analyzer. Experimental results show that the nanoparticles decreased the PCT of 34 vol.% EG solution but minimally influenced the PCT of 12 and 22 vol.% EG solutions. For all nanofluids, the nanoparticles decreased the subcooling degree, HFT, and latent heat but increased the thermal conductivity of the EG solutions. The mechanism of the improvement of the phase change characteristics and decrease in latent heat by the nanoparticles was discussed. The nanoparticles simultaneously served as nucleating agent that induced crystal nucleation and as impurities that disturbed the growth of water crystals in EG solution‐based nanofluids. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Nowadays, ice is the most attractive storage materials for HVAC field, and other applications have been widely used as PCMs . Ice slurry, regarded as one of promising PCMs, has been studied for approximately three decades and has already been expected as a hopeful working fluid due to its technical merits, such as excellent cold heat capacities, good flow characteristics, quick response to the thermal load demand, and large energy density compared with conventional chilled water …”

Section: Introductionmentioning

confidence: 99%

“…The ice slurry is a suspension, mainly consisting of small ice particles and the carrier solutions . According to the analysis above, most of the studies on ice slurry have mainly focused on ice slurry generation, heat transfer, rheological behavior, and flow resistance .…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of drop formation in a co‐current liquid–liquid flow for ice slurry making system

Zhang

Xue

Geng

et al. 2018

Asia-Pacific J Chem Eng

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Ice slurry is used widely as phase change materials (PCMs) to reduce the peak demand for power system. Drop formation plays a key role during ice slurry production in liquid-liquid circulating fluidized bed. In the present work, drop formation in a co-current liquid-liquid flow was investigated via a 3D model. Volume of fluid method was adopted to study drop characteristics by tracking the interface. Major influences of the water velocity, the oil velocity, the jet size, and the jet number on drop formation were analyzed for drop characteristics. The results indicate that properties of drop formation vary significantly according to the different conditions. The drop size was distributed mainly as the normal distribution, and the average drop diameter varies with different conditions. The drop size varies from 0.7 to 1.9 mm at the water velocity of 0.5 m/s, whereas the size of drop size varies from 1.8 to about 2.65 mm at the water velocity of 1.5 m/s. Furthermore, the residence time of drop decreases obviously with the increase of the oil velocity. When the oil velocity is 0.1 m/s, a drop leaves the top outlet at about 0.44 s. When the oil velocity is 0.3 m/s, a drop reaches the outlet at about 0.15 s. Additionally, the simulated results were compared with the relevant experimental results and the previous simulated results. Reasonable agreements have been gained, which can validate the established model to some extent.

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Simulation on transportation safety of ice slurry in ice cooling system of buildings

Cited by 45 publications

References 22 publications

Predicting Sedimentation in Urban Sewer Conduits

Predicting Sedimentation in Urban Sewer Conduits

Phase change characteristics of ethylene glycol solution-based nanofluids for subzero thermal energy storage

Numerical investigation of drop formation in a co‐current liquid–liquid flow for ice slurry making system

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