Optimal Scheduling of the Combined Power and Desalination System

13 Pages Posted: 7 Sep 2021

See all articles by Lianying Wu

Lianying Wu

Ocean University of China - Key Laboratory of Marine Chemistry Theory and Technology

Shengnan Xiao

Ocean University of China

Date Written: 2021

Abstract

In this paper, the scheduling model is proposed that addresses the operational optimisation of the combined power and desalination (CPD)system, which is described as a nonlinear programming (NLP) problem with the maximising total economic benefits and the time-dependent electricity price is considered. The typical day of each season is selected as one scheduling cycle. The results showed: The multi-stage flash (MSF) system keeps running in the total scheduling cycle and the water production rate varies between 2,000 t/h and 4,000 t/h. The reverse osmosis (RO) system only keeps running in the Spring. In the other seasons, a part group’s module of RO system would be shutdown following the increasing demand of electricity. The higher electricity price, the more electricity is supplied to the users and the less water is produced. Vice versa, less electricity and more water are produced. On stand-alone operation mode, the largest fluctuation range of electricity varies from 360 to 510MW in Summer. The least range varies from 270 to 330MW in Spring. On the scheduling mode, the difference of the largest and least value varies between 10 to 20MW. The operation stability and efficiency will be improved by the optimal scheduling of the CPD system.

Keywords: Scheduling, Optimization and design, Combined power and desalination. Desalination

Suggested Citation

Wu, Lianying and Xiao, Shengnan, Optimal Scheduling of the Combined Power and Desalination System (2021). Available at SSRN: https://ssrn.com/abstract=3918928 or http://dx.doi.org/10.2139/ssrn.3918928

Lianying Wu (Contact Author)

Ocean University of China - Key Laboratory of Marine Chemistry Theory and Technology ( email )

China

Shengnan Xiao

Ocean University of China ( email )

5 Yushan Road
Qingdao, 266003
China

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
8
Abstract Views
59
PlumX Metrics