The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 01, 2022

Filed:

Dec. 12, 2019
Applicant:

Doosan Enerbility Co., Ltd., Changwon-si, KR;

Inventors:

Young Geun Lee, Gunpo-si, KR;

Kwang Hee Shin, Daegu, KR;

Sang Ho Lee, Seoul, KR;

Yong Jun Choi, Goyang-si, KR;

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B01D 65/08 (2006.01); B01D 61/12 (2006.01); B01D 61/58 (2006.01); B01D 65/02 (2006.01); G06F 17/11 (2006.01);
U.S. Cl.
CPC ...
B01D 65/08 (2013.01); B01D 61/12 (2013.01); B01D 61/58 (2013.01); B01D 65/02 (2013.01); G06F 17/11 (2013.01); B01D 2311/263 (2013.01);
Abstract

A method of predicting membrane fouling in a reverse osmosis process includes collecting information relative to the reverse osmosis process being performed over a predetermined period of time, the collected information including a process factor and a water quality factor, the process factor including a produced water flow rate; calculating a salt removal rate and a pressure drop based on the collected information; normalizing the produced water flow rate, the salt removal rate, and the pressure drop; generating a prediction equation using normalized values of the produced water flow rate, the salt removal rate, and the pressure drop values; and predicting membrane fouling through the generated prediction equation to determine a chemical cleaning time. Process and water quality factors are normalized to temperature and/or flow rate, and the prediction equation uses the normalized factors. Both short-term and long-term predictions are made for chemical cleaning time and membrane module replacement time.


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