Comparison of Flow-Dependent Controllers for Remote Real-Time Pressure Control in a Water Distribution System with Stochastic Consumption
The control of pressure at a remote critical node using a pressure control valve is a highly effective way to attain pressure management. To perform real-time control, various kinds of controllers can be used, including flow-dependent controllers. These controllers calculate valve setting adjustment...
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doaj-ef6c043c37df4912a7f00f1be7c5c9e92020-11-25T02:53:16ZengMDPI AGWater2073-44412019-02-0111342210.3390/w11030422w11030422Comparison of Flow-Dependent Controllers for Remote Real-Time Pressure Control in a Water Distribution System with Stochastic ConsumptionPhilip R. Page0Enrico Creaco1Built Environment, Council for Scientific and Industrial Research (CSIR), Pretoria 0184, South AfricaDipartimento di Ingegneria Civile e Architettura, University of Pavia, Via Ferrata 3, 27100 Pavia, ItalyThe control of pressure at a remote critical node using a pressure control valve is a highly effective way to attain pressure management. To perform real-time control, various kinds of controllers can be used, including flow-dependent controllers. These controllers calculate valve setting adjustment based both on the deviation of the pressure from the set-point and on the flow rate at the valve site. After putting all the flow-dependent controllers present in the scientific literature within the same framework, this paper presents a numerical comparison of their performance under realistic conditions of stochastic demand. Two controllers were selected for the comparison, namely the simple LCF (parameter-<b>l</b>ess proportional controller with known <b>c</b>onstant pressure control valve <b>f</b>low); and LVF (parameter-<b>l</b>ess controller with known <b>v</b>ariable pressure control valve <b>f</b>low), which uses a flow rate forecast. Indeed, this study considered an upgrade of LVF, in which the flow rate forecast was tailored to the conditions of stochastic demand. The application in a specific example network proved the performance of these controllers to be quite similar, although LCF was preferable due to its simple structure. For LCF, the average pressure at the critical node had a clear relationship to the consumption pattern. LVF outperformed when the hourly variation dominates the fluctuations in the flow. The conditions under which this out-performance occurred are comprehensively discussed.https://www.mdpi.com/2073-4441/11/3/422hydraulic modellingpressure control valvepressure managementremote real-time controlstochastic consumptionwater distribution system |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Philip R. Page Enrico Creaco |
spellingShingle |
Philip R. Page Enrico Creaco Comparison of Flow-Dependent Controllers for Remote Real-Time Pressure Control in a Water Distribution System with Stochastic Consumption Water hydraulic modelling pressure control valve pressure management remote real-time control stochastic consumption water distribution system |
author_facet |
Philip R. Page Enrico Creaco |
author_sort |
Philip R. Page |
title |
Comparison of Flow-Dependent Controllers for Remote Real-Time Pressure Control in a Water Distribution System with Stochastic Consumption |
title_short |
Comparison of Flow-Dependent Controllers for Remote Real-Time Pressure Control in a Water Distribution System with Stochastic Consumption |
title_full |
Comparison of Flow-Dependent Controllers for Remote Real-Time Pressure Control in a Water Distribution System with Stochastic Consumption |
title_fullStr |
Comparison of Flow-Dependent Controllers for Remote Real-Time Pressure Control in a Water Distribution System with Stochastic Consumption |
title_full_unstemmed |
Comparison of Flow-Dependent Controllers for Remote Real-Time Pressure Control in a Water Distribution System with Stochastic Consumption |
title_sort |
comparison of flow-dependent controllers for remote real-time pressure control in a water distribution system with stochastic consumption |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2019-02-01 |
description |
The control of pressure at a remote critical node using a pressure control valve is a highly effective way to attain pressure management. To perform real-time control, various kinds of controllers can be used, including flow-dependent controllers. These controllers calculate valve setting adjustment based both on the deviation of the pressure from the set-point and on the flow rate at the valve site. After putting all the flow-dependent controllers present in the scientific literature within the same framework, this paper presents a numerical comparison of their performance under realistic conditions of stochastic demand. Two controllers were selected for the comparison, namely the simple LCF (parameter-<b>l</b>ess proportional controller with known <b>c</b>onstant pressure control valve <b>f</b>low); and LVF (parameter-<b>l</b>ess controller with known <b>v</b>ariable pressure control valve <b>f</b>low), which uses a flow rate forecast. Indeed, this study considered an upgrade of LVF, in which the flow rate forecast was tailored to the conditions of stochastic demand. The application in a specific example network proved the performance of these controllers to be quite similar, although LCF was preferable due to its simple structure. For LCF, the average pressure at the critical node had a clear relationship to the consumption pattern. LVF outperformed when the hourly variation dominates the fluctuations in the flow. The conditions under which this out-performance occurred are comprehensively discussed. |
topic |
hydraulic modelling pressure control valve pressure management remote real-time control stochastic consumption water distribution system |
url |
https://www.mdpi.com/2073-4441/11/3/422 |
work_keys_str_mv |
AT philiprpage comparisonofflowdependentcontrollersforremoterealtimepressurecontrolinawaterdistributionsystemwithstochasticconsumption AT enricocreaco comparisonofflowdependentcontrollersforremoterealtimepressurecontrolinawaterdistributionsystemwithstochasticconsumption |
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