This paper is part of the Battle of the Water Calibration Networks (BWCN) organised during the 12thannual Water Distribution Systems Analysis conference (WDSA 2010) in Tucson, Arizona. The BWCNcalibration problem is formulated and solved as a multiobjective optimisation problem with the objectivesbeing the minimisation of different types of absolute relative errors. The implicit constraints arecomprised of mass and energy balance equations written for the extended period simulation model of theanalysed system and the five fire flow steady-state conditions. Calibration parameters are the groupedpipe roughness coefficients, two valve coefficients for one DMA, and a speed factor for one pump. Priorto calibration, the analysis of the pipe network topology has been performed. The hydraulic system resultsare spatially decomposed and simplified leading to substantial computational savings (without loss ofaccuracy) and enabling an easier analysis of results. The above calibration problem is solved using amultiobjective genetic algorithm. The results obtained on the BWCN case study demonstrate goodagreement between the predicted and observed values.
CALIBRATION OF WATER DISTRIBUTION SYSTEM USING TOPOLOGICAL ANALYSIS
BARBARO, Giuseppe;
2012-01-01
Abstract
This paper is part of the Battle of the Water Calibration Networks (BWCN) organised during the 12thannual Water Distribution Systems Analysis conference (WDSA 2010) in Tucson, Arizona. The BWCNcalibration problem is formulated and solved as a multiobjective optimisation problem with the objectivesbeing the minimisation of different types of absolute relative errors. The implicit constraints arecomprised of mass and energy balance equations written for the extended period simulation model of theanalysed system and the five fire flow steady-state conditions. Calibration parameters are the groupedpipe roughness coefficients, two valve coefficients for one DMA, and a speed factor for one pump. Priorto calibration, the analysis of the pipe network topology has been performed. The hydraulic system resultsare spatially decomposed and simplified leading to substantial computational savings (without loss ofaccuracy) and enabling an easier analysis of results. The above calibration problem is solved using amultiobjective genetic algorithm. The results obtained on the BWCN case study demonstrate goodagreement between the predicted and observed values.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
