Improved fuzzy chance-constrained optimization of booster strategy for water distribution system under uncertainty

To sustain water quality in a water distribution system (WDS), disinfectant generally chlorine is boosted to the WDS. However, the concentration of chlorine should be limited to acceptable levels. The upper boundary of the range is set for preventing the occurrence of a disinfectant by-product, whic...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yumin Wang, Guangcan Zhu
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	booster chlorination improved fuzzy chance-constrained optimization water distribution system Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/c5bd00173dd44b43aa79df577645ff23
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c5bd00173dd44b43aa79df577645ff23
record_format	dspace
spelling	oai:doaj.org-article:c5bd00173dd44b43aa79df577645ff232021-11-06T07:09:35ZImproved fuzzy chance-constrained optimization of booster strategy for water distribution system under uncertainty1606-97491607-079810.2166/ws.2020.354https://doaj.org/article/c5bd00173dd44b43aa79df577645ff232021-03-01T00:00:00Zhttp://ws.iwaponline.com/content/21/2/750https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798To sustain water quality in a water distribution system (WDS), disinfectant generally chlorine is boosted to the WDS. However, the concentration of chlorine should be limited to acceptable levels. The upper boundary of the range is set for preventing the occurrence of a disinfectant by-product, which is harmful to human health. The lower boundary of the range is set for controlling the growth of microorganisms as well as reducing the injection mass. As such, an optimization model was applied to solve the water quality issue in a WDS. However, in a WDS, chlorine decays and varies with time and space, affected by pipe material, temperature, pH value, and chlorine injection, etc. Therefore, in this paper, an improved fuzzy chance-constrained optimization model was proposed to optimize chlorine injection and location to maintain chlorine in a WDS distributed uniformly. The proposed model was applied to two WDSs to analyze the effect of reliability level and preference parameters on chlorine injection and location. The results indicated that the injection mass increased with the increase in preference parameter. The results also indicated that more booster stations can lower the injection mass, and two booster stations were suitable for WDS in Case 2. The method proposed can be applied to decide how and where to inject chlorine in a WDS under uncertainty, and can help managers determine whether an optimistic or pessimistic attitude should be taken under various reliability levels. HIGHLIGHTS Fuzzy chance-constrained programming model proposed for chlorine injection determination.; mλ-measure method incorporated into fuzzy chance-constrained programming model with consideration of optimism and pessimism.; Effects of reliability level and preference parameter on injection mass are analyzed.; Help determine the location of booster stations.; Help managers determine what attitude should be taken.;Yumin WangGuangcan ZhuIWA Publishingarticlebooster chlorinationimproved fuzzy chance-constrained optimizationwater distribution systemWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 2, Pp 750-764 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	booster chlorination improved fuzzy chance-constrained optimization water distribution system Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	booster chlorination improved fuzzy chance-constrained optimization water distribution system Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Yumin Wang Guangcan Zhu Improved fuzzy chance-constrained optimization of booster strategy for water distribution system under uncertainty
description	To sustain water quality in a water distribution system (WDS), disinfectant generally chlorine is boosted to the WDS. However, the concentration of chlorine should be limited to acceptable levels. The upper boundary of the range is set for preventing the occurrence of a disinfectant by-product, which is harmful to human health. The lower boundary of the range is set for controlling the growth of microorganisms as well as reducing the injection mass. As such, an optimization model was applied to solve the water quality issue in a WDS. However, in a WDS, chlorine decays and varies with time and space, affected by pipe material, temperature, pH value, and chlorine injection, etc. Therefore, in this paper, an improved fuzzy chance-constrained optimization model was proposed to optimize chlorine injection and location to maintain chlorine in a WDS distributed uniformly. The proposed model was applied to two WDSs to analyze the effect of reliability level and preference parameters on chlorine injection and location. The results indicated that the injection mass increased with the increase in preference parameter. The results also indicated that more booster stations can lower the injection mass, and two booster stations were suitable for WDS in Case 2. The method proposed can be applied to decide how and where to inject chlorine in a WDS under uncertainty, and can help managers determine whether an optimistic or pessimistic attitude should be taken under various reliability levels. HIGHLIGHTS Fuzzy chance-constrained programming model proposed for chlorine injection determination.; mλ-measure method incorporated into fuzzy chance-constrained programming model with consideration of optimism and pessimism.; Effects of reliability level and preference parameter on injection mass are analyzed.; Help determine the location of booster stations.; Help managers determine what attitude should be taken.;
format	article
author	Yumin Wang Guangcan Zhu
author_facet	Yumin Wang Guangcan Zhu
author_sort	Yumin Wang
title	Improved fuzzy chance-constrained optimization of booster strategy for water distribution system under uncertainty
title_short	Improved fuzzy chance-constrained optimization of booster strategy for water distribution system under uncertainty
title_full	Improved fuzzy chance-constrained optimization of booster strategy for water distribution system under uncertainty
title_fullStr	Improved fuzzy chance-constrained optimization of booster strategy for water distribution system under uncertainty
title_full_unstemmed	Improved fuzzy chance-constrained optimization of booster strategy for water distribution system under uncertainty
title_sort	improved fuzzy chance-constrained optimization of booster strategy for water distribution system under uncertainty
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/c5bd00173dd44b43aa79df577645ff23
work_keys_str_mv	AT yuminwang improvedfuzzychanceconstrainedoptimizationofboosterstrategyforwaterdistributionsystemunderuncertainty AT guangcanzhu improvedfuzzychanceconstrainedoptimizationofboosterstrategyforwaterdistributionsystemunderuncertainty
_version_	1718443819980029952

Improved fuzzy chance-constrained optimization of booster strategy for water distribution system under uncertainty

Ejemplares similares