Optimization of Simple Solar Still Performance Using Fuzzy Logic Control

A solar still is a tool for multi usage such as pure water production. In this paper, the fuzzy logic (FL) is used to select and optimize the values for the main parameter of the distiller. Four affected parameters are selected for the FL input water temperature (Tw), water pressure (Pw), glass temperature (Tg) and gas pressure (Pg). These parameters have a separated membership function (MF) that control the linguistic variables. Three MF for each input variables, which have a linguistic expression such as (Low, Mid. and High). The target of the work is the water productivity
$\dot{\mathrm{m}}$
; so the system rules we constructed with 81 different if-statement, which are computed through the input and MF numbers, conditions to control the operation. The research aims to achieve the possibility of using simple solar distillation. The affected operational variables on the distillation performance are including the temperature of the glass, water, and pressure inside the distillation using the foggy logic technique, which is considered a critical point for interrupting operational variables. The water level inside the distillation (Pw & Pg) and Temperature (Tw & Tg) were changed. The results showed that the best performance of the distiller is at
$\mathrm{Tw}=60^{\circ}\mathrm{C},\ \mathrm{Pg}=9000\mathrm{Pa},\ \mathrm{Tg}=30^{\circ}\mathrm{C}$
and
$\mathrm{Pw}=10000\mathrm{Pa}$
.