SCA-Red, a General Purpose SCADA Application for Taking Decisions in Real Time with the Aid of a Hydraulic Model

Bou, Vicente; Martínez, Fernando; Conejos, Pilar

doi:10.1061/40941(247)92

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…Once completed the building of the physical model, GO2HydNet implements the processes to load the model by using the measured field data of a defined time period (Bou et al 2006). First, the node demands must be assigned.…”

Section: Wds Digital Twin Implementationmentioning

confidence: 99%

Building and exploiting a Digital Twin for the management of drinking water distribution networks

Fuertes

Alzamora

Carot

et al. 2020

Urban Water Journal

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Building and Exploiting a Digital Twin for the Management of Drinking Water Distribution NetworksDigital Twins (DTs) are starting to be exploited in water distribution systems as a tool to improve their management and, in the future, they will be crucial for decision making. In this paper, the authors propose several requirements that a DT of a water distribution system should accomplish. However, the development of a DT is a challenge, and a continuous process of adjustments and learning is required. Due to the advantages of having a DT of the water distribution system, during the last years a strategy to build and maintain a DT of the water distribution network of Valencia (Spain) and its Metropolitan Area (1.6 million inhabitants) was developed. This is one of the first DTs of a water utility.The great benefits of their use in the daily operation of the system ensure that they will begin to be habitual in the most advanced smart cities.

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Section: Wds Digital Twin Implementationmentioning

confidence: 99%

Building and exploiting a Digital Twin for the management of drinking water distribution networks

Fuertes

Alzamora

Carot

et al. 2020

Urban Water Journal

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“…The WSS and UDS are usually operated separately by different water authorities under their respective control objectives [2][3][4][5][6][7]. Furthermore, these systems are composed of numerous functional subsystems.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Control of Urban Water Cycle under Cyber-Physical Systems Framework

Sun

Puig

Cembraño

2020

Water

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The urban water cycle (UWC), which is composed of the water supply system (WSS) and urban drainage system (UDS), is a critical infrastructure required for the functioning of urban society. Considering the growing pollution and subsequent water scarcity caused by increasing urbanization and climate change, efficient UWC management is required to maintain resource sustainability and environmental protection. Cyber-physical systems (CPSs) provide a technological suite for the efficient management of critical systems. To exploit advantages of CPS for UWC, this paper proposes a CPS-based management framework enabling supervision, subsystem interoperability, and integrated optimization of UWC: (1) Firstly, clear definitions are provided to demonstrate that UWC systems can be considered as CPSs. (2) A multi-layer CPS-based supervision framework is presented afterwards, conceptually dividing the physical UWC and its digital counterpart into Supervision&Control, Scheduling, Digital Twin, and Water Users and Environment four layers. (3) The information flows that interact with each layer, as well as a key aspect of CSP operation, namely the interoperability among subsystems in the context of UWC, are also addressed. (4) To demonstrate advantages of supervision and interoperability of subsystems under the CPS framework, an integrated optimizer based on model predictive control (MPC) is applied and compared against the individual control of each system. A real case study of the WSS and UDS in Barcelona UWC is applied in order to validate the proposed approaches through virtual reality simulations based on MATLAB/SIMULIN and EPA-SWMM.

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“…-SCA-Red, a software developed by the REDHISP group (Hydraulic Network and Pressure System Group), Polytechnic University of Valencia (Spain) (Bou et al, 2006), for pressurized networks, based on the use of EPANET hydraulic models and a the software, ENCOMS (Rao, 2005). This last is an optimization system for energy cost minimization, based on adaptive genetic algorithms and neural networks, with a 24 to 48-hour horizon.…”

Section: Introductionmentioning

confidence: 99%

PLIO: a generic tool for real-time operational predictive optimal control of water networks

Cembraño

Quevedo²,

Puig³

et al. 2011

Water Science and Technology

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This paper presents a generic tool, named PLIO, that allows to implement the real-time operational control of water networks. Control strategies are generated using predictive optimal control techniques. This tool allows the flow management in a large water supply and distribution system including reservoirs, open-flow channels for water transport, water treatment plants, pressurized water pipe networks, tanks, flow/pressure control elements and a telemetry/telecontrol system. Predictive optimal control is used to generate flow control strategies from the sources to the consumer areas to meet future demands with appropriate pressure levels, optimizing operational goals such as network safety volumes and flow control stability. PLIO allows to build the network model graphically and then to automatically generate the model equations used by the predictive optimal controller. Additionally, PLIO can work off-line (in simulation) and on-line (in real-time mode). The case study of Santiago-Chile is presented to exemplify the control results obtained using PLIO off-line (in simulation).

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SCA-Red, a General Purpose SCADA Application for Taking Decisions in Real Time with the Aid of a Hydraulic Model

Cited by 3 publications

References 2 publications

Building and exploiting a Digital Twin for the management of drinking water distribution networks

Building and exploiting a Digital Twin for the management of drinking water distribution networks

Real-Time Control of Urban Water Cycle under Cyber-Physical Systems Framework

PLIO: a generic tool for real-time operational predictive optimal control of water networks

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