Standard hydraulic solver for water distribution networks developed by the Department of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics. STACI uses a general mathematical solver for nonlinear, algebric equations, namely Newton's iteration, thus there is no restriciton for the nature of the equations. It also has a modular built, any extension/modification can be easily performed. The figure depicts the class hiearchy below.
- snapshot simulation: standard hydraulic simulation for a time instant for a water distribution network
- extended period simulation: full day/week/month simulation with demand patterns, controls, rules, active elements and actions
- leakage modelling: pressure dependent leakage modelling with arbitrary constants
- pressure dependent demand: pressure dependent demand modelling with arbitrary constants
- shutdown plan: creating isolation plans for pipe failures, calculating the hydraulics during reconstruction
- vulnerability/criticality analysis: determining the exposed segments/valves in the network using hydraulic simulations
- waterage/chlorine/biofilm: solving general transport equations to calculate water age/chlorine/biofilm distribution, the RK56 can solve for any source term, i.e. with any chlorine/biofilm model
- biofilm: modelling the biofilm distribution in real-life water distribution networks
- criticality: calculating the importance of the operation of isolation valves in terms of possible service outage, approxing with complex network theory
- isolation valve placement: how to place the isolation valves to minimize the possible service outage using network theory, hydraulics, and NSGA-II
- leakage reduction: PRVs can reduce the leakge amount by decreasing the average pressure in the network, the question is where is their optimal place and setting
- vulnerability: determining how certain segments are exposed to an accidental pipe burst
The code is built upon the base folder and the Projects folders. While the former one includes the basic sources of the STACI, the latter one contains the projects which are applying the source code. Each project has an individual make file that can compile the whole code. The Plot folder contains Matlab scripts for visualisation.
$ make -f make_*.mkRunning .out file will run the simulation. The Networks folder must contain the .inp files of the model with all input data.
- C++ compiler: first_blood uses clang++, but any general C++ compiler should work
- Eigen: Eigen solves linear sets of equation ensuring computational efficiency
- make: for compyling multiple cpp files at once
Dr Richárd Wéber, assistant professor
Tamás Huzsvár, PhD student
Wéber, R., Huzsvár, T., Déllei, Á., & Hős, C. (2021). Criticality of Isolation Valves in Water Distribution Networks with Hydraulics and Topology. Water Resources Management. https://doi.org/10.1007/s11269-023-03488-y
Huzsvár, T., Wéber, R., Déllei, Á., & Hős, C. (2021). Increasing the capacity of water distribution networks using fitness function transformation. Water Research, 201. https://doi.org/10.1016/j.watres.2021.117362
Wéber, R., Huzsvár, T., & Hős, C. (2021). Vulnerability of water distribution networks with real-life pipe failure statistics. Water Supply, 00(0), 1–10. https://doi.org/10.2166/ws.2021.447
Huzsvár, T., Weber, R., & Hős, C. J. (2020). Fire and drinking water capacity enhancement in water distribution networks. Water Science and Technology: Water Supply, 20(4), 1207–1214. https://doi.org/10.2166/ws.2020.037
Wéber, R., & Hős, C. (2020). Efficient Technique for Pipe Roughness Calibration and Sensor Placement for Water Distribution Systems. Journal of Water Resources Planning and Management, 146(1). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001150
Wéber, R., Huzsvár, T., & Hős, C. (2020). Vulnerability analysis of water distribution networks to accidental pipe burst. Water Research, 184. https://doi.org/10.1016/j.watres.2020.116178
Huzsvár, T., Wéber, R., & Hős, C. (2019). Analysis of the segment graph of water distribution networks. Periodica Polytechnica Mechanical Engineering, 64(4), 295–300. https://doi.org/10.3311/PPme.13739