For cost and reliability efficiency, optimal design and operation of pressurized water distribution networks is highly important. However, optimizing such networks is still a challenge since it requires an appropriate determination of: (1) dimension of pipe / pump / tank - decision variables (2) cost / network reliability - objective functions and (3) limits or restrictions within which the network must operate - a given set of constraints. The costs mentioned here consist in general of capital, construction, and operation costs. The reliability of a network mainly refers to the intrinsic capability of providing water with adequate volume and a certain pressure to consumers under normal and extreme conditions. These contradicting objective functions are functions of network configuration regarding component sizes and network layout. Because considerable uncertainties finally render the overall task to a highly complex problem, most recent approaches mainly focus only on finding a trade-off between minimizing cost and maximizing network reliability. To overcome these limitations, a novel model system that simultaneously considers network configuration, its operation and the relevant uncertainties is proposed in this study. For solving this multi-objective design problem, a simulation-based optimization approach has been developed and applied. The approach couples a hydraulic model (Epanet) with the covariance matrix adaptation evolution strategy (CMA-ES) and can be operated in two different modes. These modes are (1) simulation–based Single-objective optimization and (2) simulation-based multi-objective optimization. Single-objective optimization yields the single best solution with respect to cost or network reliability, whereas multi-objective optimization produces a set of non-dominated solutions called Pareto optimal solutions which are trade-offs between cost and reliability. In addition, to prevent a seriously under-designed network, demand uncertainties was also taken into account through a so called “robustness probability” of the network. This consideration may become useful for a more reliable water distribution network. In order to verify the performance of the proposed approach, it was systematically tested on a number of different benchmark water distribution networks ranging from simple to complex. These benchmark networks are either gravity-fed or pumped networks which need to be optimally designed to supply urban or irrigation water demand under specific constraints. The results show that the new approach is able: • to solve optimization problems of pressurized water distribution network design and operation regarding cost and network reliability; • to directly determine the pumping discharge and head, thus allowing to select pumps more adequately; • to simulate time series of tank water level; • to eliminate redundant pipes and pumps to generate an optimal network layout; • to respond well to complex networks other than only to simple networks; • to perform with multiple demand loading; • to produce reliable Pareto optimal solutions regarding multi-objective optimization. In conclusion, the new technique can be successfully applied for optimization problems in pressurized water distribution network design and operation. The new approach has been demonstrated to be a powerful tool for optimal network design not only for irrigation but also for an urban water supply.

No Brasil, são comuns sistemas de distribuição de água para abastecimento com elevados índices de perdas, nos quais parcela significativa das denominadas perdas físicas é devida às perdas por vazamento. Dessa maneira, o controle efetivo das perdas por vazamento e do comportamento do sistema sob as mais diversas condições operacionais é de fundamental importância, não só do ponto de vista financeiro, no que diz respeito ao desperdício da água bombeada e quimicamente tratada, mas principalmente da preservação deste recurso natural. Com o objetivo de se ter um maior conhecimento do comportamento real de uma rede de distribuição de água, técnicas de calibração, incluindo modelos para avaliação de perdas por vazamentos, vêm sendo propostas. Tais modelos devem considerar a relação pressão x vazamento, bem como a dependência pressão x demanda, face aos diferentes níveis de pressão atuantes em um sistema de distribuição de água. O presente estudo visa o desenvolvimento de uma rotina computacional que considere as perdas por vazamento e a dependência das demandas com a pressão, acoplada ao simulador hidráulico EPANET (ROSSMAN, 2000), utilizando dados de rede hipotética com vistas à calibração em termos das rugosidades absolutas, demandas, diâmetros, cotas topográficas e parâmetros do modelo de vazamentos, bem como a localização de componentes hidráulicos na rede. Para tanto, utilizam-se modelos inversos resolvidos com o suporte da tecnologia dos Algoritmos Genéticos (AGs) e procedimento híbrido (AGs e Método Simplex – NELDER & MEAD, 1965) / Brazil’s water distribution systems usually present a high percentage of so-called physical losses, of which a significant portion is caused by leakage. Therefore, it is of fundamental importance, not only from the financial standpoint – in terms of the pumped and chemically treated water – but also particularly from that of the preservation of this natural resource, to effectively control leakage and the systems’ behavior under several operational conditions. In order to gain a better understanding of the real behavior of a water distribution network, several calibration techniques, including models to evaluate leakage, have been proposed. Those models normally consider the correlation between pressure and leakage, as well as the interdependence of pressure and demand in response to the varying levels of pressure in a water distribution system. The present study seeks to extend these models through the development of a computational routine based on leakage and on pressure-dependent demand, in conjunction with the hydraulic simulator EPANET (ROSSMAN, 2000), using the data from a hypothetical network to calibrate the absolute roughness and diameter of pipes, demands and elevations of nodes and the parameters of the leakage model, as well as the location of hydraulic components in the network. To this end, inverse models are used based on the technology of Genetic Algorithms (GA) and the hybrid procedure (GA and Simplex Method - NELDER & MEAD, 1965)

The diploma thesis deals with effect of pressure conditions in the water supply network on consumption of drinking water. The introductory part describes how pressures affect water consumption and six studies from different countries carried out on real network are presented. Further, the work is devoted to other factors influencing water consumption and distribution of domestic water consumption. The practical part deals with the laboratory measurement of the influence of pressure change on tested discharge fittings for flowing and dripping water. The results are also expressed in annual costs and a method is presented how the effect of pressure change can be quantified if we know the average daily consumption and its distribution.

For cost and reliability efficiency, optimal design and operation of pressurized water distribution networks is highly important. However, optimizing such networks is still a challenge since it requires an appropriate determination of: (1) dimension of pipe / pump / tank - decision variables (2) cost / network reliability - objective functions and (3) limits or restrictions within which the network must operate - a given set of constraints. The costs mentioned here consist in general of capital, construction, and operation costs. The reliability of a network mainly refers to the intrinsic capability of providing water with adequate volume and a certain pressure to consumers under normal and extreme conditions. These contradicting objective functions are functions of network configuration regarding component sizes and network layout. Because considerable uncertainties finally render the overall task to a highly complex problem, most recent approaches mainly focus only on finding a trade-off between minimizing cost and maximizing network reliability. To overcome these limitations, a novel model system that simultaneously considers network configuration, its operation and the relevant uncertainties is proposed in this study. For solving this multi-objective design problem, a simulation-based optimization approach has been developed and applied. The approach couples a hydraulic model (Epanet) with the covariance matrix adaptation evolution strategy (CMA-ES) and can be operated in two different modes. These modes are (1) simulation–based Single-objective optimization and (2) simulation-based multi-objective optimization. Single-objective optimization yields the single best solution with respect to cost or network reliability, whereas multi-objective optimization produces a set of non-dominated solutions called Pareto optimal solutions which are trade-offs between cost and reliability. In addition, to prevent a seriously under-designed network, demand uncertainties was also taken into account through a so called “robustness probability” of the network. This consideration may become useful for a more reliable water distribution network. In order to verify the performance of the proposed approach, it was systematically tested on a number of different benchmark water distribution networks ranging from simple to complex. These benchmark networks are either gravity-fed or pumped networks which need to be optimally designed to supply urban or irrigation water demand under specific constraints. The results show that the new approach is able: • to solve optimization problems of pressurized water distribution network design and operation regarding cost and network reliability; • to directly determine the pumping discharge and head, thus allowing to select pumps more adequately; • to simulate time series of tank water level; • to eliminate redundant pipes and pumps to generate an optimal network layout; • to respond well to complex networks other than only to simple networks; • to perform with multiple demand loading; • to produce reliable Pareto optimal solutions regarding multi-objective optimization. In conclusion, the new technique can be successfully applied for optimization problems in pressurized water distribution network design and operation. The new approach has been demonstrated to be a powerful tool for optimal network design not only for irrigation but also for an urban water supply.

A qualidade da água de abastecimento é de vital importância à saúde da população dos núcleos urbanos do mundo todo. Por essa razão, muitas pesquisas enfocam esse tema. Além disso, os ataques terroristas recentes ocorridos nos Estados Unidos e Europa, vêm fomentando a antiga preocupação relativa a possíveis injeções de contaminantes em redes de distribuição de água para abastecimento, evidenciando a importância da efetiva vigilância de tais sistemas. O presente trabalho investiga a rede de monitoramento ótima para detecção de injeções intencionais de poluentes e/ou contaminantes em concentrações e/ou quantidades suficientes para que se propaguem nas direções do fluxo da água no interior das redes, do ponto de vista de objetivos múltiplos. A metodologia aqui apresentada representa uma extensão de propostas anteriores e é demonstrada ilustrativamente, através de redes já utilizadas na literatura. Com base no conceito da rede auxiliar proposto por Kessler et al. (1998), propõe-se o emprego de algoritmos genéticos multiobjetivo para considerar os níveis de serviço em termos do volume consumido, do tempo e da extensão da rede atingida antes da detecção. São criadas matrizes de poluição para os níveis de serviço considerados e, então, o algoritmo genético multiobjetivo SPEA é aplicado para identificar as soluções não-dominadas, em conformidade com o conceito de otimalidade de Pareto. Os resultados demonstram o potencial do método proposto em identificar tais soluções / The water supply quality is very important to the healthy of urban nucleus populations around the world. This is the reason why many researches focus on such theme. Besides this, recent terrorist attacks occurred in USA and Europe, have incited the old apprehension related to possible deliberate intrusions of contaminants into the water supply networks, making evident the importance of the effective vigilance of such systems. This work investigates the optimal monitoring network for detection of deliberate intrusions of pollutes and/or contaminants at concentrations and/or quantities enough for propagation inside the networks, on the point of view of multiple objectives. The method here proposed represents an extension to earlier proposals and is demonstrated with the support of networks from literature. Based on the concept of auxiliary network proposed by Kessler et al. (1998), a multiobjective genetic algorithm is used in order to consider the levels of service in terms of the consumed volume, time period and length of the network reached before detection. Pollution matrixes are built for the levels of service considered and the multiobjective genetic algorithm SPEA applied in the identification of the non-dominated solutions, according to the Paretto optimality concept. The results demonstrate the potential of the method in the identification of such solutions

Water distribution network models are widely used for various purposes such as long-range planning, design, operation and water quality management. Before these models are used for a specific study, they should be calibrated by adjusting model parameters such as pipe roughness values and nodal demands so that models can yield compatible results with site observations (basically, pressure readings). Many methods have been developed to calibrate water distribution networks. In this study, Darwin Calibrator, a computer software that uses genetic algorithm, is used to calibrate N8.3 pressure zone model of Ankara water distribution network / in this case study the network is calibrated on the basis of roughness parameter, Hazen Williams coefficient for the sake of simplicity. It is understood that there are various parameters that contribute to the uncertainties in water distribution network modelling and the calibration process. Besides, computer software&rsquo / s are valuable tools to solve water distribution network problems and to calibrate network models in an accurate and fast way using automated calibration technique. Furthermore, there are many important aspects that should be considered during automated calibration such as pipe roughness grouping. In this study, influence of flow velocity on pipe roughness grouping is examined. Roughness coefficients of pipes have been estimated in the range of 70-140.

Submitted by Cláudia Bueno (claudiamoura18@gmail.com) on 2016-01-29T17:14:46Z No. of bitstreams: 2 Dissertação - Ricardo Santos Coutinho - 2015.pdf: 10137543 bytes, checksum: 50b06893fd31466aedf36ff57ca15495 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2016-02-01T11:58:11Z (GMT) No. of bitstreams: 2 Dissertação - Ricardo Santos Coutinho - 2015.pdf: 10137543 bytes, checksum: 50b06893fd31466aedf36ff57ca15495 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Made available in DSpace on 2016-02-01T11:58:11Z (GMT). No. of bitstreams: 2 Dissertação - Ricardo Santos Coutinho - 2015.pdf: 10137543 bytes, checksum: 50b06893fd31466aedf36ff57ca15495 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 2015-12-10 / In water distribution systems, most of the electricity is consumed by pumping systems. Thus, reducing the inefficiency of the pump can provide significant energy savings. This can be achieved by substituting fixed-speed pumps by variable-speed pumps (VSP). However, the high costs of installation and operation of the VSPs require a preliminary economic assessment of the design, which is usually accompanied by the use of hydraulic solvers to simulate the behavior of the water network. One of the most used softwares for this purpose is the EPANET 2, which uses the gradient method for the hydraulic analysis of the steady flow. However, the EPANET 2 is inaccurate when computing the VSP efficiency. This is because the software does not take into account the changes in the pump efficiency curve when the pump speed is changed. In this study, a routine for calculating VSPs efficiency, based on the Sârbu and Borza (1998) formula, is implemented in the source code of the EPANET 2. The influence of the new routine on the results predicted by the software for efficiency, power and energy consumption of the VSP is evaluated in simulations with a hypothetical network. The results showed that the original version of EPANET 2 tends to underestimate the efficiency and thus overestimate the power and energy consumption of the VSPs. In the present case, the energy consumption of the system predicted by the original version of EPANET 2 was 21.99% higher than the predicted by the modified version. These results point out that the modified version of EPANET 2 provides a better prediction of VSPs behavior and thus its use is recommended in the simulation of water distribution networks equipped with VSPs. / Em redes de distribuição de água, a maior parte da energia elétrica é consumida pelos sistemas de bombeamento. Deste modo, a redução da ineficiência das bombas pode proporcionar uma economia expressiva de energia. Isto pode ser alcançado pela substituição de bombas de rotação constante por bombas de rotação variável (BRVs). No entanto, os elevados custos de instalação e operação de BRVs requerem uma avaliação econômica prévia do projeto, a qual geralmente é acompanhada do uso de simuladores hidráulicos para simular o comportamento da rede. Um dos programas mais utilizados para este fim é o EPANET 2, o qual emprega o Método Gradiente para a análise hidráulica do escoamento permanente. Todavia, o EPANET 2 é impreciso ao computar a eficiência de BRVs. Isto ocorre porque o programa não leva em conta a mudança na curva de eficiência da bomba quando sua velocidade de rotação é alterada. No presente trabalho, uma rotina para o cálculo da eficiência de BRVs, baseada na fórmula de Sârbu e Borza (1998), é implementada no código-fonte do EPANET 2. A influência da nova rotina nos resultados previstos pelo programa para a eficiência, potência e consumo de energia de BRVs é avaliada em simulações com uma rede hipotética. Os resultados mostraram que a versão original do EPANET 2 tende a subestimar a eficiência e, consequentemente, superestimar a potência e o consumo de energia de BRVs. No caso em tela, o consumo de energia do sistema previsto pela versão original do EPANET 2 foi 21,99% maior que o previsto pela versão modificada. Tais resultados apontam que a versão modificada do EPANET 2 proporciona uma melhor previsão do comportamento de BRVs e, portanto, o seu uso é recomendado na simulação de redes de distribuição de água equipadas com BRVs.

A qualidade da água de abastecimento é de vital importância à saúde da população dos núcleos urbanos do mundo todo. Por essa razão, muitas pesquisas enfocam esse tema. Além disso, os ataques terroristas recentes ocorridos nos Estados Unidos e Europa, vêm fomentando a antiga preocupação relativa a possíveis injeções de contaminantes em redes de distribuição de água para abastecimento, evidenciando a importância da efetiva vigilância de tais sistemas. O presente trabalho investiga a rede de monitoramento ótima para detecção de injeções intencionais de poluentes e/ou contaminantes em concentrações e/ou quantidades suficientes para que se propaguem nas direções do fluxo da água no interior das redes, do ponto de vista de objetivos múltiplos. A metodologia aqui apresentada representa uma extensão de propostas anteriores e é demonstrada ilustrativamente, através de redes já utilizadas na literatura. Com base no conceito da rede auxiliar proposto por Kessler et al. (1998), propõe-se o emprego de algoritmos genéticos multiobjetivo para considerar os níveis de serviço em termos do volume consumido, do tempo e da extensão da rede atingida antes da detecção. São criadas matrizes de poluição para os níveis de serviço considerados e, então, o algoritmo genético multiobjetivo SPEA é aplicado para identificar as soluções não-dominadas, em conformidade com o conceito de otimalidade de Pareto. Os resultados demonstram o potencial do método proposto em identificar tais soluções / The water supply quality is very important to the healthy of urban nucleus populations around the world. This is the reason why many researches focus on such theme. Besides this, recent terrorist attacks occurred in USA and Europe, have incited the old apprehension related to possible deliberate intrusions of contaminants into the water supply networks, making evident the importance of the effective vigilance of such systems. This work investigates the optimal monitoring network for detection of deliberate intrusions of pollutes and/or contaminants at concentrations and/or quantities enough for propagation inside the networks, on the point of view of multiple objectives. The method here proposed represents an extension to earlier proposals and is demonstrated with the support of networks from literature. Based on the concept of auxiliary network proposed by Kessler et al. (1998), a multiobjective genetic algorithm is used in order to consider the levels of service in terms of the consumed volume, time period and length of the network reached before detection. Pollution matrixes are built for the levels of service considered and the multiobjective genetic algorithm SPEA applied in the identification of the non-dominated solutions, according to the Paretto optimality concept. The results demonstrate the potential of the method in the identification of such solutions

The subject of this dissertation is the assessment and optimization of water distribution in the group water supply. The water supply networks are located in the Water Association of Babicko, former district of Uherské Hradiště, region of Zlín. The objective of this work is the unification of the entire documentation for all projects, creation of a hydraulic model of water supply network and subsequent verification of the existing capacities and pressure ratios. This work is particularly focused on the evaluation of pressure ratios at the highest and the lowest points of villages, whether they correspond to the legal limits, and subsequent design of a possible division to pressure zones.

Water contamination is a major source of diseasearound the world. Therefore, the reliable monitoring of harmfulcontamination in water distribution networks requires considerableeffort and attention. It is a vital necessity to possess a reliablemonitoring system in order to detect harmful contamination inwater distribution networks. To measure the potential contamination,a new sensor called an ’electric tongue’ was developedin Link¨opings University. It was created for the purpose ofmeasuring various features of the water reliably. This projecthas developed a supervised machine learning algorithm that usesan artificial neural network for the detection of anomalies in thesystem. The algorithm can detect anomalies with an accuracy ofaround 99.98% based on the data that was available. This wasachieved through a binary classifier, which reconstructs a vectorand compares it to the expected outcome. Despite the limitationsof the problem and the system’s capabilities, binary classificationis a potential solution to this problem. / Vatten kontaminering är en huvudsaklig anledning till sjukdom runtom i världen. Därför är det en avgörande nödvändighet att ha ett tillförlitligt övervakningssystem för att upptäcka skadliga föroreningar i vattendistributionsnät. För att mäta den potentiella föroreningen skapades en ny sensor, den så kallade ”Electric Tongue” vid Linköpings universitet Den skapades i syfte att mäta olika egenskaper i vattnet på ett tillförlitligt sätt. Genom att använda ett artificiellt neuralt nätverk utvecklades en supervised machine learning algoritm för att upptäcka anomalier i systemet. Algoritmen kan upptäcka anomalier med 99.98% säkerhet som baseras på befintliga data. Detta uppnåddes genom att rekonstruera en vektor och jämföra det med det förväntade resultatet genom att använda en binär klassificerare. Trots att det finns begränsningar som orsakats både av problemet men också systemets förmågor, så är binär klassificering en potentiell lösning till detta problem. / Kandidatexjobb i elektroteknik 2022, KTH, Stockholm