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Experimental Investigation of an Evaporative Condenser-Based Combined Heat Pump and Humidification-Dehumidification Desalination System

Faegh, Meysam | 2020

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 53362 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Shafii, Mohammad Behshad
  7. Abstract:
  8. The present thesis aimed to study a novel heat pump integrated humidification-dehumidification (HDH-HP) desalination system. A theoretical outline was proposed for the first time to examine the design and off-design performance of HDH-HP cycles via the compressor characteristics method. In this regard, the variations in heat pump performance were modeled in different operating conditions for a fixed-size system. To fabricate a compact HDH-HP system, an evaporative condenser was designed and used instead of a separate humidifier, heater, and air/water-cooled condensers find in previous HDH-HP systems. Meanwhile, the air dehumidification process in this work directly occurred inside the heat pump evaporator. The effect of several operating parameters such as ambient wet-bulb temperature, spraying saline water and airflow rates, compressor speed, superheat, and evaporator saturation temperature control modes of the electronic expansion valve (EEV) on freshwater production and GOR were studied. Analyzing the experimental results indicated that freshwater productivity, GOR, and CPL reached 1.08 kg/h, 2.00, and 0.019 $/L, respectively. Higher freshwater produced at decreased airflow rates and increased ambient wet-bulb temperatures, spraying water flow rate and compressor speeds. Moreover, it was observed that the system performance enhances at higher adjusted evaporator saturated temperatures and lower superheats in the EEV controller. The system can be operated 6 hours a day by utilizing 3 m2 of photovoltaic panels. Finally, various machine learning models were tested to predict the performance of the system. It was observed that the MLPANN model has the best performance
  9. Keywords:
  10. Solar Desalination ; Machine Learning ; Heat Pumps ; Dehumidification ; Evaporative Condenser ; Humidification-Dehumidification ; Refrigeration ; Cogeneration

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