Latent Heat

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R L Sawhney - One of the best experts on this subject based on the ideXlab platform.

  • thermal cycle test of urea for Latent Heat storage applications
    International Journal of Energy Research, 2001
    Co-Authors: Atul Sharma, S.d. Sharma, D Buddhi, R L Sawhney
    Abstract:

    Accelerated thermal cycle tests for melt/freeze cycles of urea were conducted. Urea has shown a very high degradation in its Latent Heat and melting point within the first few cycles and did not melt after a few cycles. It is recommended that urea should not be used as a Latent Heat storage material. Copyright © 2001 John Wiley & Sons, Ltd.

  • accelerated thermal cycle test of Latent Heat storage materials
    Solar Energy, 1999
    Co-Authors: Smita Sharma, D Buddhi, R L Sawhney
    Abstract:

    Accelerated laboratory experiments have been conducted to study the change in Latent Heat of fusion, melting temperature and specific Heat of commercial-grade stearic acid, acetamide and paraffin wax subjected to repeated 300 melt/freeze cycles. The Latent Heat of fusion, melting temperature and specific Heat of the samples were measured after 0, 20, 50, 70, 100, 150, 200, 250 and 300 thermal cycles using a differential scanning calorimeter. Acetamide and paraffin wax were found to be more stable phase change materials (PCMs). However, acetamide absorbs moisture from the surrounding atmosphere.

Dongxiao Wang - One of the best experts on this subject based on the ideXlab platform.

  • Intraseasonal variability of Latent-Heat flux in the South China Sea
    Theoretical and Applied Climatology, 2009
    Co-Authors: Lili Zeng, Dongxiao Wang
    Abstract:

    Intraseasonal variability (ISV) of Latent-Heat flux in the South China Sea (SCS) is examined using 9 years of weekly data from January 1998 to December 2006. Using harmonic and composite analysis, some fundamental features of the Latent-Heat flux ISVs are revealed. Intraseasonal Latent-Heat flux has two spectral peaks around 28–35 and 49–56 days, comparable with the timescales of the atmospheric ISV in the region. Active monsoon is clearly correlated with positive and negative phases of the ISV of Latent-Heat flux in the SCS. The characteristics of the intraseasonal Latent-Heat flux variations in summer are remarkably different from those in winter. The amplitudes of significant intraseasonal oscillations are about 35 and 80 W∙m−2 during summer and winter monsoons, respectively. In summer, the intraseasonal Latent-Heat flux perturbations are characterized by slow eastward (about 1° latitude/day) and slower northward (about 0.75° longitude/day) propagations, probably in a response to eastward and northward propagating Madden-Julian oscillations (MJOs) from the equatorial Indian Ocean. In contrast, the perturbations appear to remain in the northern SCS region like a quasi-stationary wave in winter. In summer, the intraseasonal Latent-Heat flux fluctuations are highly correlated with wind speed. In winter, however, they are primarily associated with winds and near-surface air humidity. In addition, the intraseasonal SST variation is estimated to significantly reduce the amplitude of the intraseasonal Latent-Heat flux by 20% during winter.

Lili Zeng - One of the best experts on this subject based on the ideXlab platform.

  • High-frequency variability of Latent-Heat flux in the South China Sea
    Aquatic Ecosystem Health & Management, 2015
    Co-Authors: Rui Shi, Lili Zeng, Xin Wang, Dandan Sui
    Abstract:

    Synoptic-scale disturbances of Latent-Heat flux in the South China Sea are examined using Xisha automatic weather station measurements and satellite-derived daily Latent Heat-flux datasets. The power spectra of observations suggest a synoptic feature with a pronounced energy peak at a period of 4–8 days, comparable with the timescales of the atmospheric synoptic variabilities in the region. The characteristics of the synoptic Latent-Heat flux variations in summer are remarkably different from those in winter. The amplitudes of significant synoptic oscillations are about 20 and 40 W·m−2 during summer and winter monsoons, respectively. An active monsoon is clearly correlated with positive and negative phases of the synoptic Latent-Heat flux oscillations in the South China Sea. Using a composite analysis, some fundamental features of the synoptic Latent-Heat flux variabilities were revealed. In summer, the synoptic-scale Latent-Heat flux fluctuations are highly correlated with wind speed. While the synoptic ...

  • Intraseasonal variability of Latent-Heat flux in the South China Sea
    Theoretical and Applied Climatology, 2009
    Co-Authors: Lili Zeng, Dongxiao Wang
    Abstract:

    Intraseasonal variability (ISV) of Latent-Heat flux in the South China Sea (SCS) is examined using 9 years of weekly data from January 1998 to December 2006. Using harmonic and composite analysis, some fundamental features of the Latent-Heat flux ISVs are revealed. Intraseasonal Latent-Heat flux has two spectral peaks around 28–35 and 49–56 days, comparable with the timescales of the atmospheric ISV in the region. Active monsoon is clearly correlated with positive and negative phases of the ISV of Latent-Heat flux in the SCS. The characteristics of the intraseasonal Latent-Heat flux variations in summer are remarkably different from those in winter. The amplitudes of significant intraseasonal oscillations are about 35 and 80 W∙m−2 during summer and winter monsoons, respectively. In summer, the intraseasonal Latent-Heat flux perturbations are characterized by slow eastward (about 1° latitude/day) and slower northward (about 0.75° longitude/day) propagations, probably in a response to eastward and northward propagating Madden-Julian oscillations (MJOs) from the equatorial Indian Ocean. In contrast, the perturbations appear to remain in the northern SCS region like a quasi-stationary wave in winter. In summer, the intraseasonal Latent-Heat flux fluctuations are highly correlated with wind speed. In winter, however, they are primarily associated with winds and near-surface air humidity. In addition, the intraseasonal SST variation is estimated to significantly reduce the amplitude of the intraseasonal Latent-Heat flux by 20% during winter.

See Itt Ping - One of the best experts on this subject based on the ideXlab platform.

  • Investigation of Heat Transfer on a Rotating Latent Heat Energy Storage
    Energy Procedia, 2017
    Co-Authors: Jundika C. Kurnia, Agus P. Sasmito, See Itt Ping
    Abstract:

    Abstract During charging and discharging process of Latent Heat energy storage, higher energy transfer is commonly observed at higher area. Therefore, by slowly rotating the energy storage, a more uniform and higher Heat transfer is expected. The objective of this study is to numerically investigate the Heat transfer performance of rotating Latent Heat energy storage. A three-dimensional computational model representing Latent Heat energy storage is developed and validated against experimental data. The model is then utilize to investigate the conjugate Heat transfer between Heat transfer fluid (HTF) and phase change materials (PCM) as energy storage medium. The Heat transfer performance between steady and rotating energy storage is compared. The results indicate that rotating Latent Heat energy storage offers superior Heat transfer performance as compared to its steady counterpart. In addition, it was found that slower rotational speed results in higher Heat transfer as compared to higher rotational speed.

Hiyoshi Kiuchi - One of the best experts on this subject based on the ideXlab platform.

  • Latent Heat in the chiral phase transition
    Physical Review D, 2003
    Co-Authors: Masaharu Iwasaki, Hiyoshi Kiuchi
    Abstract:

    The chiral phase transition at finite temperature and density is discussed in the framework of the QCD-like gauge field theory. The thermodynamical potential is investigated using a variational approach. Latent Heat generated in the first-order phase transition is calculated. It is found that the Latent Heat is enhanced near the tricritical point and is more than several hundred MeV per quark.