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Ewelina Bartkiewicz   Mrs.  Other 
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Ewelina Bartkiewicz published an article in May 2018.
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Zimoch Izabela

14 shared publications

Faculty of Energy and Environmental Engineering, Silesian University of Technology, Poland

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Publications
PROCEEDINGS-ARTICLE 1 Read 0 Citations IMPACT ANALYSIS OF THE PRECISION OF MAPPING OPERATIONAL CONDITIONS OF THE WATER SUPPLY SYSTEM ON THE ACCURACY OF HYDRAUL... Izabela Zimoch, Ewelina Bartkiewicz Published: 23 May 2018
FRIAR 2018, doi: 10.2495/friar180051
DOI See at publisher website
Article 1 Read 0 Citations Process of hydraulic models calibration Izabela Zimoch, Ewelina Bartkiewicz Published: 01 January 2018
E3S Web of Conferences, doi: 10.1051/e3sconf/20185900007
DOI See at publisher website
Article 0 Reads 0 Citations Analysis of disinfectant decay in a water supply system based on mathematical model Izabela Zimoch, Ewelina Bartkiewicz Published: 01 January 2018
DESALINATION AND WATER TREATMENT, doi: 10.5004/dwt.2018.23036
DOI See at publisher website
CONFERENCE-ARTICLE 8 Reads 0 Citations Impact of water demand pattern on calibration process. Ewelina Bartkiewicz, Izabela Zimoch Published: 16 November 2017
Proceedings, doi: 10.3390/ecws-2-04961
DOI See at publisher website ABS Show/hide abstract

Mathematical models are the basic tool that simulates the operation of the Water Distribution System (WDS). Building such a tool is a complex task that requires as much detail as possible. The information needed to build a model can be divided into two categories: network data and WDSs operating data. The first group includes pipes and nodes attributes, like pipe length, pipe diameter, pipe roughness, junction elevation, and junction demand. The second category includes data specifying network performance such as pump characteristics, water demand patterns, and controls. The quality of these data will reflect the quality (compatibility) of the model.

In WDSs modeling, especially dynamic modeling, water demand patterns will have a significant impact on model accuracy. The appearance of each patterns may be different, it depends on the type of consumption (domestic, industrial) or analyzed period. Consumption patterns  defining the  WDSs operational work. Changes in water demand patterns may affect the accuracy of the model calibration. The real WDS model were used in this paper. The three simulations were analyzed, each for another period: one year, six months, and one month. Junction demand and water demand patterns were generated from a GIS (Geographic Information System) and SCADA (Supervisory Control And Data Acquisition) database.

Article 5 Reads 0 Citations Optimization of energy cost in water supply system Ewelina Bartkiewicz, Izabela Zimoch Published: 07 November 2017
E3S Web of Conferences, doi: 10.1051/e3sconf/20172200204
DOI See at publisher website ABS Show/hide abstract
The decreasing amount of fossil fuels and deteriorating air quality forces the governments to introduce a rational energy management in all sectors of economy. At the beginning of the twenty-first century many water supply systems (WSSs) were oversized because of the reduction of water consumption, especially in industry. This resulted in high energy consumption in the pumping stations. Improving pumps operation will decrease energy consumption and also the water prices. The purpose of this paper is to present a method of energy optimization in WSSs. This paper presents an analysis of energy consumption in a selected water supply system. In this study pumps located in water treatment plants and pumping station cooperating with the tanks are analyzed. The study used hydraulic model of the WSS created in MOSKAN-W, which defines pumpsĀ“ parameters such as flow, head, and efficiency. Using optimization options of calculation software several scenarios of energy costs were prepared.
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