Simulation and optimization of control system operation and surface water allocation based on system dynamics modeling

In the present study, the performance of Dez Reservoir, its regulatory and downstream diversion dams are studied using the system dynamics method (SD) in the Vensim software. In the first step, all the effective parameters with their relationship were identified and then the simulation was carried o...

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Autores principales:	Hamed Nozari, Parya Moradi, Ehsan Godarzi
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	dez diversion dam optimization regulatory dam simulation system dynamics vensim Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/3061a26b71df4bc48cbee5fb547206f8
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id	oai:doaj.org-article:3061a26b71df4bc48cbee5fb547206f8
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spelling	oai:doaj.org-article:3061a26b71df4bc48cbee5fb547206f82021-11-05T17:42:44ZSimulation and optimization of control system operation and surface water allocation based on system dynamics modeling1464-71411465-173410.2166/hydro.2020.294https://doaj.org/article/3061a26b71df4bc48cbee5fb547206f82021-03-01T00:00:00Zhttp://jh.iwaponline.com/content/23/2/211https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734In the present study, the performance of Dez Reservoir, its regulatory and downstream diversion dams are studied using the system dynamics method (SD) in the Vensim software. In the first step, all the effective parameters with their relationship were identified and then the simulation was carried out considering the minimum and maximum reservoir volume and downstream demand over an eight-year period (2006–2013). After model validation, the statistical indices of correlation coefficient (R2), root mean square error (RMSE), and standard error (SE) for the reservoir volume were calculated as 0.99, 3.1690, and 0.18, respectively. The statistical indices for the regulatory dam were 0.98, 7.51, and 0.13, respectively. These statistical indices were 0.92, 4.71, and 0.37 for the diversion dam. The achieved results showed that the SD-simulated releases met downstream demands and the SD method has high accuracy in simulating the performance of the surface tank system. Moreover, for a better evaluation of the results of the SD model, the eight-year Dez dam releases were optimized using the particle swarm optimization (PSO) algorithm, and the required deficiency values were evaluated in both SD and PSO models. Results showed that SD provides more appropriate planning in meeting the downstream demands than PSO. HIGHLIGHTS The performance of the system dynamics method in the management and simulation of the productivity of the water resource system for the storage reservoir, the regulatory dam, and the diversion dam was investigated simultaneously.; The accuracy of system dynamics method in the management of the mentioned integrated system was compared with that of the meta-heuristic particle swarm optimization (PSO) algorithm.;Hamed NozariParya MoradiEhsan GodarziIWA Publishingarticledez diversion damoptimizationregulatory damsimulationsystem dynamicsvensimInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 2, Pp 211-230 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	dez diversion dam optimization regulatory dam simulation system dynamics vensim Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	dez diversion dam optimization regulatory dam simulation system dynamics vensim Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Hamed Nozari Parya Moradi Ehsan Godarzi Simulation and optimization of control system operation and surface water allocation based on system dynamics modeling
description	In the present study, the performance of Dez Reservoir, its regulatory and downstream diversion dams are studied using the system dynamics method (SD) in the Vensim software. In the first step, all the effective parameters with their relationship were identified and then the simulation was carried out considering the minimum and maximum reservoir volume and downstream demand over an eight-year period (2006–2013). After model validation, the statistical indices of correlation coefficient (R2), root mean square error (RMSE), and standard error (SE) for the reservoir volume were calculated as 0.99, 3.1690, and 0.18, respectively. The statistical indices for the regulatory dam were 0.98, 7.51, and 0.13, respectively. These statistical indices were 0.92, 4.71, and 0.37 for the diversion dam. The achieved results showed that the SD-simulated releases met downstream demands and the SD method has high accuracy in simulating the performance of the surface tank system. Moreover, for a better evaluation of the results of the SD model, the eight-year Dez dam releases were optimized using the particle swarm optimization (PSO) algorithm, and the required deficiency values were evaluated in both SD and PSO models. Results showed that SD provides more appropriate planning in meeting the downstream demands than PSO. HIGHLIGHTS The performance of the system dynamics method in the management and simulation of the productivity of the water resource system for the storage reservoir, the regulatory dam, and the diversion dam was investigated simultaneously.; The accuracy of system dynamics method in the management of the mentioned integrated system was compared with that of the meta-heuristic particle swarm optimization (PSO) algorithm.;
format	article
author	Hamed Nozari Parya Moradi Ehsan Godarzi
author_facet	Hamed Nozari Parya Moradi Ehsan Godarzi
author_sort	Hamed Nozari
title	Simulation and optimization of control system operation and surface water allocation based on system dynamics modeling
title_short	Simulation and optimization of control system operation and surface water allocation based on system dynamics modeling
title_full	Simulation and optimization of control system operation and surface water allocation based on system dynamics modeling
title_fullStr	Simulation and optimization of control system operation and surface water allocation based on system dynamics modeling
title_full_unstemmed	Simulation and optimization of control system operation and surface water allocation based on system dynamics modeling
title_sort	simulation and optimization of control system operation and surface water allocation based on system dynamics modeling
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/3061a26b71df4bc48cbee5fb547206f8
work_keys_str_mv	AT hamednozari simulationandoptimizationofcontrolsystemoperationandsurfacewaterallocationbasedonsystemdynamicsmodeling AT paryamoradi simulationandoptimizationofcontrolsystemoperationandsurfacewaterallocationbasedonsystemdynamicsmodeling AT ehsangodarzi simulationandoptimizationofcontrolsystemoperationandsurfacewaterallocationbasedonsystemdynamicsmodeling
_version_	1718444092033073152

Simulation and optimization of control system operation and surface water allocation based on system dynamics modeling

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