Detailed Information

Cited 26 time in webofscience Cited 29 time in scopus
Metadata Downloads

Reverse osmosis desalination process optimized for maximum permeate production with renewable energy

Authors
Lee, SangkeumMyung, SungheeHong, JunheeHar, Dongsoo
Issue Date
15-Nov-2016
Publisher
ELSEVIER
Keywords
Duty; Openness; Renewable energy; Jointly optimal control; Maximum permeate production
Citation
DESALINATION, v.398, pp.133 - 143
Journal Title
DESALINATION
Volume
398
Start Page
133
End Page
143
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/7687
DOI
10.1016/j.desal.2016.07.018
ISSN
0011-9164
Abstract
This paper deals with an optimal control for the reverse osmosis (RO) desalination process of a pilot desalination plant equipped with a high pressure pump and a retentate valve and operated by renewable solar energy. The goal of the optimal control is to maximize the permeate production, with constraints on the trans-membrane pressure on the RO membrane and the total dissolved solids of permeate, by joint control of the duty of the high pressure pump and the openness of the retentate valve. The trans-membrane pressure, the total dissolved solids of permeate, and the permeate production rate are empirically modeled by two-dimensional second order equations in terms of the duty and the openness. The duty and the openness providing the maximum permeate production rate with the constraints satisfied are found by the two-dimensional genetic algorithm (GA). This joint control is different from other existing approaches which separately control the duty and the openness. Time-varying behaviors of the trans-membrane pressure, the total dissolved solids of permeate, and the production rate obtained by the proportional-integral-derivative (PID) control are shown with those by the two-dimensional GA. The two-dimensional GA achieves maximum permeate production rate while satisfying the constraints, even when the PID control fails. (C) 2016 Elsevier B.V. All rights reserved.
Files in This Item
There are no files associated with this item.
Appears in
Collections
IT융합대학 > 에너지IT학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Hong, Jun Hee photo

Hong, Jun Hee
College of IT Convergence (Department of smart city)
Read more

Altmetrics

Total Views & Downloads

BROWSE