A novel stochastic thermo‐solar model for water demand supply using point estimate method

Abstract

Abstract Today, many countries are facing water shortage due to population increase as well as groundwater pollution. To overcome this problem, a variety of techniques have been developed and implemented, one of the most recent being the condensation of water from humid air. Aqueous vapour in the Earth's atmosphere includes a significant amount of water that could be used to supply potable water. One of the methods for condensing water vapour in humid air is to use thermoelectric coolers. In this study, production of potable water by thermoelectric coolers, which is one of the optimal methods for trapping moisture in order to produce fresh water by condensation, has been studied. Fundamental concepts in the design of thermoelectric coolers for the production of potable water have been discussed by the thermoelectric element. According to the specification of temperature, pressure, relative humidity and desired geographical location variables, the maximum amount of water production can be achieved. Modelling results demonstrate higher water production with the thermoelectric method for Ramsar (318 L) in comparison to Bandar‐Abbas. Similarly, for this geographical point, the proposed hybrid solar panels efficiency results in 62.67% by mid‐December with 49.33% on thermal efficiency and 13.33% on electrical efficiency.

Keywords

• bat algorithm
• condensation
• evaporation
• humidity
• hybrid solar panel
• thermoelectric elements