RT info:eu-repo/semantics/article
T1 Energy Efficiency Optimization in Onboard SWRO Desalination Plants Based on a Genetic Neuro-Fuzzy System
A1 Hernández López, Ángela
A1 Camacho-Espino, Jorge
A1 Peñate Suárez, Baltasar
A1 Marichal Plasencia, Graciliano Nicolás
A2 Ingeniería CivilNáutica y Marítima
K1 Desalination
K1 Genetic Neuro-Fuzzy
K1 Energy Efficiency
K1 Intelligent Control
K1 Soft Computing Techniques
AB This work presents a novel intelligent control system based on a Genetic Neuro-Fuzzy tool to optimize and improve the performance of a seawater reverse osmosis desalination plant (SWRO) on board a marine vessel. This investigation pays special attention to minimizing energy consumption to improve the energy efficiency of this marine installation. The system analyzes measurements of different variables—seawater pH, seawater conductivity, permeate flow rate, permeate conductivity, and total energy consumed—in order to provide the most appropriate value of permeate flow rate control and operating pressure of the high-pressure pump (HPP). This intelligent method allows the plant to achieve output values nearer to the desired setpoints set by the plant operators.
YR 2023
FD 2023
LK http://riull.ull.es/xmlui/handle/915/35998
UL http://riull.ull.es/xmlui/handle/915/35998
LA en
DS Repositorio institucional de la Universidad de La Laguna
RD 08-jun-2024