Fuzzy set implementation for controlling and evaluation of factors affecting multiple-effect distillers

Multiple-effect (ME) distillation was the first process used to desalt a significant amount of seawater. This process takes place in a series of effects (stages) and uses the principle of reducing the ambient pressure in the various stages in order of their arrangement. In this work, a fuzzy logic is used to evaluate the factors affecting the ME distillers. The fuzzy logic detection was performed to assess three rules; i.e., “Increase”, “Decrease”, or “No Change” in distillation system in Jordan. We considered the factors that affect the detection of yield. There are many factors affect the ME distillers include: top brine temperature (TBT), concentration factor (CF), seawater temperature (TSW), seawater pH (pHSW), seawater salinity (SSW), scale formation (SF), and CO2 release. The various characteristics for the case study was synthesized and converted into relative weights w.r.t. fuzzy set method. The fuzzy set analysis for the case study reveals increase as confirmed by the experimental data. The application of the fuzzy set methodology offers reasonable prediction and assessment for detecting yield in distillation system in Jordan.