scholarly journals Energy Cost Optimization in a Water Supply System Case Study

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Daniel F. Moreira ◽  
Helena M. Ramos

The majority of the life cycle costs (LCC) of a pump are related to the energy spent in pumping, with the rest being related to the purchase and maintenance of the equipment. Any optimizations in the energy efficiency of the pumps result in a considerable reduction of the total operational cost. The Fátima water supply system in Portugal was analyzed in order to minimize its operational energy costs. Different pump characteristic curves were analyzed and modeled in order to achieve the most efficient operation point. To determine the best daily pumping operational scheduling pattern, genetic algorithm (GA) optimization embedded in the modeling software was considered in contrast with a manual override (MO) approach. The main goal was to determine which pumps and what daily scheduling allowed the best economical solution. At the end of the analysis it was possible to reduce the original daily energy costs by 43.7%. This was achieved by introducing more appropriate pumps and by intelligent programming of their operation. Given the heuristic nature of GAs, different approaches were employed and the most common errors were pinpointed, whereby this investigation can be used as a reference for similar future developments.

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3305
Author(s):  
Katarzyna Pietrucha-Urbanik ◽  
Barbara Tchórzewska-Cieślak ◽  
Mohamed Eid

Initiated by a case study to assess the effectiveness of the modernisation actions undertaken in a water supply system, some R&D activities were conducted to construct a global predictive model, based on the available operational failure and recovery data. The available operational data, regarding the water supply system, are the pipes’ diameter, failure modes, materials, functional conditions, seasonality, and the number of failures and time-to-recover intervals. The operational data are provided by the water company responsible of the supply system. A predictive global model is proposed based on the output of the operational data statistical assessment. It should assess the expected effectiveness of decisions taken in support of the modernisation and the extension plan.


Author(s):  
Mohammad Atauzzaman ◽  
Mohammad Yousuf Ali ◽  
Musammat Meherun Nesa

2018 ◽  
Vol 15 (30) ◽  
pp. 497-503
Author(s):  
A. B. dos SANTOS ◽  
É. C. DIAS ◽  
G. P. C. da SILVA ◽  
R. P. RIBEIRO ◽  
A. M. SILVA

Due to the events of the last years, when, mainly the Southeast region of Brazil has experienced one of the worst periods of water shortage, there has been a process of national awareness for the need of care with the quality and quantity of water. Therefore, currently in the national and world scenario is seeking to minimize the waste of water, acting mainly in the water supply systems, which have the highest loss rates of this liquid. In this way, the objective is to determine the volume of water (1000m³/year) wasted in SAA (Water Supply System), based on the amount of water produced and consumed in the North and Central-West region of Brazil and, from this, compare the losses in those regions, for the year 2015. Based on the analysis of the datas, it was verified that the water supply in the North and Central-West regions presented high losses rates, 43% and 37%, respectively. Actions such as maintenance of sanitary fittings and elimination of leaks in the residence, more efficient operation and maintenance of the system and improvement in the commercial management of service providers, are measures to combat and reduce water losses.


Water ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1086 ◽  
Author(s):  
Ioan Așchilean ◽  
Mihai Iliescu ◽  
Nicolae Ciont ◽  
Ioan Giurca

This article analyses the relation between the failures that occurred in the water supply network and the road traffic in the city of Cluj-Napoca in Romania. The calculations in this case study were made using the Autodesk Robot Structural Analysis Professional 2011 software. In the case study, the following types of pipes were analysed: steel, gray cast iron, ductile cast iron and high density polyethylene (HDPE). While in most studies only a few sections of pipelines, several types of pipelines and certain mounting depths have been analysed, the case study presented analyses the entire water supply system of a city with a population of 324,576 inhabitants, whose water supply system has a length of 479 km. The results of the research are useful in the design phase of water distribution networks, so depending on the type of pipe material, the minimum depth of installation can be indicated, so as to avoid the failure of the pipes due to road traffic. From this perspective, similar studies could also be carried out regarding the negative influence of road traffic on sewerage networks, gas networks and heating networks.


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