Resources

CWSNet is an open-source library for water distribution system modelling where all the various parts of the hydraulic model are completely developed in C++ using an object-oriented programming (OOP) model. The aim is to develop a library that can be easily extended while providing high computational performance.

The idea behind this software is to simplify development and testing of new hydraulic elements (specific types of valves, pumps, etc) and computational algorithms (pressure-driven approaches, etc.) by keeping logically independent parts of the code separate. This also allows the performance and accuracy of new computational methods as well as the use of advanced programming techniques to be studied without the need for extensive code refactoring.

Aims and features

Highly expandable:

• Written in C++ using the object-oriented programming model (OOP).
• The internal structure of the library is divided in three layers:
  • Network layer.
  • Hydraulic solver layer.
  • Mathematical layer.
• Use of linear algebraic operations: implementation of new computational methodologies is easy, for example, adding a new hydraulic solver.
• Able to apply several simulation engines (implementations of a hydraulic solver, water quality analysis etc) to the same model and combine them into an EPS.
• The outputs of an EPS can be substantially customized.

High performance:

• Runs different simulations of the same network or different networks in parallel (thread-safe).
• Able to change the linear solver and the matrix representation used to solve the system of linear equations.
• Ready to use with OpenMP, GPGPU (CUDA) and Vectorisation.

EPANET2 compatibility:

• Reads EPANET2 input files.
• Contains a Demand-Driven Global Gradient Algorithm (GGA) solver.
• Produces comparable hydraulic solutions for a number of publicly available networks.

Widely used:

• Open source - MIT License.
• Runs on multiple OS and compile on multiple compilers:
• Windows - Visual Studio C++ 2008/2010.
• Linux - GCC.

Plenty of documentation available:

• A guide to the installation, use and development of the library in Wiki format.
• The API documentation automatically generated from the source code using Doxygen.
• A ticket system publically available that can be used for reports of bugs and task requests.

Useful links

• To obtain the binary or the source code of the library, please visit: http://sourceforge.net/projects/cwsnet/files/
• To obtain news and information about the project, please visit the project site on sourceforge at: http://sourceforge.net/projects/cwsnet/
• To obtain the library documentation or to participate actively in its development, please visit the main web-page of the software at: http://cwsnet.sourceforge.net/
• To request information about the library or to keep informed about the project community, please join the project mailing list by emailing: cwsnet-users@lists.sourceforge.net

CADDIES is an open-source framework which aims to use Cellular Automata (CA) techniques and modern hardware with parallel processing capabilities for fast dual-drainage flood modelling (2D urban surface flows linked with 1D subsurface sewer flows). CADDIES includes a general purpose CA Application Programming Interface (API), which allows users to write their own CA rules, which can then be deployed on a number of different hardware platforms, and/or on a number of different CA types.

The CADDIES framework is divided into multiple components / softwares:

• An application programming interface (API) to create cellular automata rules and associated application(s).
  
  
• A set of different hardware platform implementations for each CA type, allow for fast deployment of rules to highly parallel hardware, including (Linux and Windows variants of):
  • Simple serial implementations.
  • Shared memory model parallel implementations on modern CPU's, using OpenMP.
  • General Purpose Graphics Processing Unit (GPGPU) highly parallel implementations, using OpenCL.
    
    
• A set of different CA type implementations, including:
  • Regular square grids
  • Von Neumann Neighbourhood.
  • Moore Neighbourhood.
    
    
• Regular Hexagonal grids (under development).
• Rapid and accurate reduced-complexity 2D urban surface flow model(s).
• Basic application, and CA rules - Open Source
• Advanced application and CA rules - under license agreement
• Application
• Dynamic Link Library (DLL) API flooding interface (under development)
• Rapid and accurate reduced-complexity 1D sewer flow model(s) (under development).
• Unified 1D sewer and 2D surface flow model(s) (under development).

>> Find out more information about the Caddies Framework

A tool for global resilience analysis of water distribution systems can be downloaded: GRA Tool

This is a simple, user-friendly tool that automates the simulations required for GRA of a water distribution system and assists comprehension of the results. Provided the user can supply an Epanet .inp file for the system and that this contains demand data (an understanding of Epanet and system failure modelling is not necessary), the tool can be used to quantify the resilience of the system to pipe failure, pump failure, demand increase and contaminant intrusion. An interactive results explorer allows the user to easily identify critical system components based on the selected level of service type and failure measure (e.g. pressure, supply or contamination and failure magnitude or duration). A map of the network can be used to either color-code components based on their criticality in a single component failure analysis or to identify specific combinations of components which result in the greatest level of service failure magnitude or duration when failed simultaneously. ‘Stress-strain’ type response curves can also be automatically generated and key findings automatically extracted. Additionally, the tool enables systems to be compared on a like-for-like basis, enabling the effects of proposed interventions on resilience to be quantified and visualized.

Please reference the tool as follows:

Diao, K., Sweetapple, C., Farmani, R., Fu, G., Ward, S. & Butler, D. (2018) Global resilience analysis of water distribution systems. Water Research, 106, 383-393.

Sweetapple, C., Diao, K., Farmani, R., Fu, G. & Butler, D. (2018). A tool for global resilience analysis of water distribution systems. 1st International WDSA/CCWI Joint Conference, Kingston, Ontario, Canada, July 23-25, 2018.

PST is a model-driven decision-support system tool for pump operation scheduling in water systems. The PST is a dynamic tool which has been developed as an Excel-add-in. It can handle four different kinds of schedule representation including On and Off, Time control, Time-length control and Tank water level control. The PST has the ability to integrate a multi-objective (MO) evolutionary optimization package with an external hydraulic (e.g. EPAENT) to obtain an optimum schedule. The tool has a user-friendly interface which allows simulation based on three pump operation settings: 1) hydraulic model’s input file, 2) interactive interface which can be modified by the user, and 3) generated by the optimization algorithm. It also has an intuitive interactive results interface to present and visualize the produced solutions. The user defined options allow the user to solve a problem either as two objectives optimization or as a single objective optimization.

Download

A step-by-step tutorial as well as PST for both 32-bit and 64-bit operation systems can be downloaded: Pump Scheduling Tool.

Users who may encounter problems whilst working with PST can report any problems to Karwan Muhammed.

FaME-DST is a decision support tool for the selection of optimal wastewater treatment technologies for the removal of conventional and emerging contaminants and to identify optimal solutions for sludge management, nutrient recovery and energy recovery. This piece of software has been developed as part of a project called: Fate and Management of Emerging contaminants (FaME) at the Centre for Water Systems (CWS), University of Exeter and is now available for public access. The FaME Project has been funded by the Natural Environment Research Council (NERC), UK and Department of Science & Technology (DST) and the Government of India.

Led by Prof Fayyaz Ali Memon, the FAME team includes key academics Prof David Butler and Prof Shaowei Zhang from the University of Exeter, Dr Sarah Bell from UCL (now the University of Melbourne), Professor Ligy Philip (IIT-Madras), Prof Absar Kazmi and Dr Bhanu Prakash Vellanki (IIT Roorkee). Dr Seyed Sadr was the main developer of FaME-DST.

Download

If you would like to download the tool, please complete the following registration form.