WaterNetGen: an EPANET extension for automatic water distribution network models generation and pipe sizing

Muranho, João; Ferreira, Ana Vaz; Sousa, Joaquim; Gomes, Abel; Marques, Alfeu Sá

doi:10.2166/ws.2011.121

Cited by 54 publications

(31 citation statements)

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“…We adopted similar boundary conditions as for the CCGA model (intakes, demands, topography, design pressure). With assistance from the EPANET 2 add-on WaterNetGen [37], the MDS-models were designed. The smallest diameter used to design the coarse models was 100 mm and the largest Water 2017, 9, 855 9 of 20 diameter of 800 mm was chosen.…”

Section: A Case Independent Approach-network Structure Variationsmentioning

confidence: 99%

Impact of Hybrid Water Supply on the Centralised Water System

Sitzenfrei

Zischg

Sitzmann

et al. 2017

Water

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Traditional (technical) concepts to ensure a reliable water supply, a safe handling of wastewater and flood protection are increasingly criticised as outdated and unsustainable. These so-called centralised urban water systems are further maladapted to upcoming challenges because of their long lifespan in combination with their short-sighted planning and design. A combination of (existing) centralised and decentralised infrastructure is expected to be more reliable and sustainable. However, the impact of increasing implementation of decentralised technologies on the local technical performance in sewer or water supply networks and the interaction with the urban form has rarely been addressed in the literature. In this work, an approach which couples the UrbanBEATS model for the planning of decentralised strategies together with a water supply modelling approach is developed and applied to a demonstration case. With this novel approach, critical but also favourable areas for such implementations can be identified. For example, low density areas, which have high potential for rainwater harvesting, can result in local water quality problems in the supply network when further reducing usually low pipe velocities in these areas. On the contrary, in high demand areas (e.g., high density urban forms) there is less effect of rainwater harvesting due to the limited available space. In these high density areas, water efficiency measures result in the highest savings in water volume, but do not cause significant problems in the technical performance of the potable water supply network. For a more generalised and case-independent conclusion, further analyses are performed for semi-virtual benchmark networks to answer the question of an appropriate representation of the water distribution system in a computational model for such an analysis. Inappropriate hydraulic model assumptions and characteristics were identified for the stated problem, which have more impact on the assessments than the decentralised measures.

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Section: A Case Independent Approach-network Structure Variationsmentioning

confidence: 99%

Impact of Hybrid Water Supply on the Centralised Water System

Sitzenfrei

Zischg

Sitzmann

et al. 2017

Water

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“…The readers interested for more detailed information can refer to [3]- [8] 1) EPANET: EPANET [5] is a well known tool that can be used as a water network simulator. It is a framework, mainly framed to model a WMS.…”

Section: B Modeling and Computational Toolsmentioning

confidence: 99%

“…WaterNetGen [4], [8] is an EPANET extension to automatically build water distribution networks synthetic models, preserving the user interface of EPANET. It also allows to perform least cost design, by using a Simulated Annealing algorithm, and pressuredriven analysis, a better suited approach to model pressure dependent consumption and leakage.…”

Section: ) Waternetgenmentioning

confidence: 99%

Modeling and simulation of Cyber Physical Systems: A case of an adaptive water management system

Kaur¹,

JayPrakash

2014

2014 5th International Conference - Confluence the Next Generation Information Technology Summit (Confluence)

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The distributed software working in changing environments operates successfully under a dedicated human supervision. Thus anchoring cost and time during its operation. This paper mainly focuses on simulating a Cyber Physical System (CPS). Main goal of our work is to provide, models as a view of the run-time behavior of an actual CPS. We provide here a workflow to simulate a CPS. A case study on Water Management System (WMS) using EPANET as water network simulator is considered. For computation, EPANET Toolkit is used to invoke EPANET through Matlab. Experiments with WaterNetGen, an EPANET extension to build synthetic models are also performed. Such models have been used to carry out experimental studies by varying different WMS parameters. This includes changing pipe sizing, system performance indicators, demand-driven and pressure-driven scenarios. Further, we make use of information and obtain a AutoCAD files to propose WMS design models based on our simulation experiments. To achieve this, we have used tools like WaterCAD and EPACAD in our WMS modeling experiments. Results of experiments have been provided along with experimental data.

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“…Results obtained by this demand‐driven software can be considered appropriate when the system operates with pressures higher than minimum service pressure required for supplied demand— Pi‐ser — . This means that if the pressure in the district metering area (DMA) is lower than this threshold pressure value ( Pi‐ser ), a pressure‐driven demand analysis is required …”

Section: Introductionmentioning

confidence: 99%

“…11 This means that if the pressure in the district metering area (DMA) is lower than this threshold pressure value ( Pi-ser ), a pressure-driven demand analysis is required. 12,13 Water losses are classified in background and bursts outflows 14 and bursts are generally the natural evolution of background leakages generating changes of WDN hydraulic functioning, detectable as anomalies in monitored flow/ pressure data. The objective of this study is to propose a matlab-based educational software which helps students to simulate homogeneously distributed water leakage (background leakage and also burst leakage flow rate) in WDN.…”

Section: Introductionmentioning

confidence: 99%