Energy consumption is increasing gradually in the world. It is due to the growth of air conditioning need in response to higher summer temperatures. This causes an increase in electricity demand. Solar cooling is a relatively new, reliable and clean application of proven refrigeration technology able to improve comfort conditions, limit the impact on the environment and save energy. The use of "desiccant cooling" technique is particularly interesting because it avoids the refrigerants use that have a negative effect on the ozone layer (CFC, HCFC, HFC ...). The main element in a desiccant cooling system is the desiccator. In this study, an experimental test bed was made in the Energy and Thermal Systems Laboratory "LESTE" at National Engineering School of Monastir, Tunisia. This bench is designed to examine the optimal conditions used (air flow rates effect) for a cylindrical desiccator, filled with silica gel grains, during both adsorption and desorption phases. For this aim, measurements of temperature, humidity and velocity at the inlet and outlet of the desiccator are done.
Mathematical thermodynamic modeling is used in desalination systems to obtain unknown values and predict various properties such as enthalpy or phase equilibrium. These models are useful to understand system behavior. Zuara desalination plant is a multi-effect evaporation plant without vapor pressure (MED) with three total units of 40,000 m3/day. A mathematical modeling of the desalination plant thermal components was performed to simulate and forecast the temperatures, mass flow rates, and the productivity of each cell of steam. The total productivity of the desalination unit and the performance rate in different operating conditions was also found. A Python program was used to solve the model equations. The obtained results show that the productivity of the system and the gain output ratio are directly proportional to seawater temperature and inversely proportional to plant load.
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