Modeling and performance analysis of a hybrid conventional solar still-adsorption desalination system

被引:1
|
作者
Abhishek, P. [1 ,2 ]
Baiju, V [1 ]
机构
[1] TKM Coll Engn, Dept Mech Engn, Energy Res Lab, Kollam, India
[2] APJ Abdul Kalam Technol Univ, Thiruvananthapuram, Kerala, India
关键词
Adsorption; brine water; desalination; exergy; hybrid; productivity; solar energy; solar still; EXERGETIC ANALYSIS; WATER; EVAPORATOR; CYCLE;
D O I
10.1177/09544062211000770
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This study presents a thermodynamic modeling and performance analysis of a hybrid desalination system consisting of a conventional solar still (CSS) and an adsorption desalination system (ADS). To evaluate the performance of the system, a small scale model of a hybrid CSS-ADS system is designed, fabricated and tested under the meteorological condition of Kollam, Kerala, India. Water productivity of the hybrid CSS-ADS, followed by, assessing the coefficient of performance of the system is also carried out. The maximum water productivity of the system is estimated as 750 ml. The proposed hybrid system is able to produce the cooling effect along with desalination during its operation. The coefficient of performance (COP) is obtained as 0.58. The performance of the system is also assessed based on the second law of thermodynamics to study exergy loss and exergy efficiency of each and every component of the system. It is observed that the main sources of exergy destruction in the hybrid system occurs in the solar still basin and adsorbent bed of ADS. The total exergy loss and exergy efficiency of the hybrid system is found to be 0.224 W and 29.6%, respectively. Variation of brine water temperature, heat transfer coefficients, water productivity of CSS and ADS are also presented in this study. The study aims at a formidable solution to the low performance of conventional solar still.
引用
收藏
页码:7934 / 7950
页数:17
相关论文
共 50 条
  • [1] Hybrid solar still as a co-generative system and desalination system - An experimental performance evaluation
    Shukla, Dhruvin
    Modi, Kalpesh
    CLEANER ENGINEERING AND TECHNOLOGY, 2021, 2
  • [2] Performance analysis in stepped solar still for effluent desalination
    Velmurugan, V.
    Kumar, K. J. Naveen
    Haq, T. Noorul
    Srithar, K.
    ENERGY, 2009, 34 (09) : 1179 - 1186
  • [3] Performance analysis of an improved seawater desalination solar still
    Miao, Chao
    Xie, Chungang
    Zhang, Lingpin
    Ren, Jianbo
    Qi, Chunhua
    Li, Qiang
    ADVANCES IN ENERGY SCIENCE AND EQUIPMENT ENGINEERING, 2015, : 99 - 102
  • [4] Fractional modeling for enhancing the thermal performance of conventional solar still using hybrid nanofluid: Energy and exergy analysis
    El-Gazar, E. F.
    Zahra, W. K.
    Hassan, Hamdy
    Rabia, Sherif, I
    DESALINATION, 2021, 503
  • [5] Fractional modeling for enhancing the thermal performance of conventional solar still using hybrid nanofluid: Energy and exergy analysis
    El-Gazar, E.F.
    Zahra, W.K.
    Hassan, Hamdy
    Rabia, Sherif I.
    Desalination, 2021, 503
  • [6] Performance analysis of hybrid solar desalination system using ETC and CPC
    S. A. Kedar
    K. Arul Raj
    A. K. Bewoor
    SN Applied Sciences, 2019, 1
  • [7] Hybrid Solar Desalination System for rural Morocco: Development and performance analysis
    Hmich, M.
    Zoukarh, B.
    Malek, R.
    Kassmi, K.
    Schmitz, P.
    Alexopoulos, S.
    Schwarzer, K.
    Chayeb, H.
    Bachiri, N.
    DESALINATION AND WATER TREATMENT, 2025, 321
  • [8] Performance analysis of hybrid solar desalination system using ETC and CPC
    Kedar, S. A.
    Raj, K. Arul
    Bewoor, A. K.
    SN APPLIED SCIENCES, 2019, 1 (09):
  • [9] Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system
    Ali Sohani
    Siamak Hoseinzadeh
    Saman Samiezadeh
    Ivan Verhaert
    Journal of Thermal Analysis and Calorimetry, 2022, 147 : 3919 - 3930
  • [10] Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system
    Sohani, Ali
    Hoseinzadeh, Siamak
    Samiezadeh, Saman
    Verhaert, Ivan
    JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2022, 147 (05) : 3919 - 3930