An Optimization Strategy for Water Distribution Networks

Among the most important components of sustainable management strategies for water distribution networks is the ability to integrate risk analysis and asset management decision-support systems (DSS), as well as the ability to incorporate in the analysis financial and socio-political parameters that are associated with the networks in study. Presented herein is a neurofuzzy decision-support system for the performance of multi-factored risk-of-failure analysis and pipe asset management, as applied to urban water distribution networks. The study is based on two datasets (one from New York City and the other from the city of Limassol, Cyprus), analytical and numerical methods, and artificial intelligence techniques (artificial neural networks and fuzzy logic) that capture the underlying knowledge and transform the patterns of the network's behaviour into a knowledge-repository and a DSS.

Section: State Of Knowledgementioning

confidence: 99%

Section: State Of Knowledgementioning

confidence: 99%

A Neurofuzzy Decision Framework for the Management of Water Distribution Networks

Christodoulou

Deligianni

2009

“…Accordingly, a large number of approaches for simulating and predicting the state of resources and the evolution of demands exist (see e.g. Hajkowicz and Kerry 2007;Xu and Singh 1998;Alvisi et al 2003;Ekinci and Konak 2009;Tillmann et al 1999). The majority of these approaches either deals with demand or supply predictions on a sectoral basis, and are dedicated to the description of small-scale systems in a discrete 2 way, or are lumped regional models.…”

Section: Previous and Related Workmentioning

confidence: 99%

Using the Multiactor-Approach in Glowa-Danube to Simulate Decisions for the Water Supply Sector Under Conditions of Global Climate Change

Barthel

Janisch

Nickel

et al. 2009

Glowa-Danube (www.glowa-danube.de) is an interdisciplinary project that aims to develop integrated strategies and tools for water and land use management in the upper Danube catchment (Germany, Austria ∼77,000 km 2 ). The project is one of five within the Glowa research program (www.glowa.org) dealing with Global Change effects on the water cycle in six meso-scale catchments (up to 100,000 km 2 ) in Central Europe, West Africa and the Middle East. In the Glowa-Danube project, 16 natural science and socio-economic simulation models are integrated in the coupled simulation system Danubia. This article describes the underlying concept and implementation of WaterSupply, a multiactor-based model of the water supply sector with a focus on water resource utilization and distribution of individual water supply companies. Within Danubia, WaterSupply represents the link between water supply and demand, where the former is simulated by a groundwater and a surface water model and the latter by water consumption models of four different sectors (domestic, industrial, agricultural and tourism). WaterSupply interprets the quantitative state of water resources for defined spatial and temporal R. Barthel et al. units according to sustainability requirements and assesses the state of resources in relation to present water supply schemes and the dynamics of user demand. WaterSupply then seeks both to optimize the resource use of supply companies and to identify critical regions for which further adaptation of the water supply scheme will become necessary under changing climatic conditions. In this article, a brief description of the Glowa-Danube project and the integrated simulation system Danubia is followed by a short presentation of the DeepActor framework, which provides a common conceptual and technical basis for the socio-economic simulation models of Glowa-Danube. The main body of the article is devoted to the concept, the implementation and simulation results of WaterSupply. Results from different scenario calculations demonstrate the capabilities and the potential fields of application of the model.

“…This framework allows for the simultaneous incorporation of multiple heuristics within a generic evolutionary framework in the hope of improving performance and efficiency by adopting the philosophy of power in diversity. Moreover, completely different methods are being proposed: Ekinci and Konak (2009) proposed a method by which they built on the idea that head losses through pipelines should be minimal and as nearly equal as they can possibly be. In their study, the initial flows and pipe diameters are determined by a weighting optimization process to get a reliable solution satisfying those conditions in a concrete manner.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Genetic Algorithm and Linear Programming Method for Least-Cost Design of Water Distribution Systems

Čistý

2009

The problems involved in the optimal design of water distribution networks belong to a class of large combinatorial optimization problems. Various heuristic and deterministic algorithms have been developed in the past two decades for solving optimization problems and applied to the design of water distribution systems. Nevertheless, there is still some uncertainty about finding a generally trustworthy method that can consistently find solutions which are really close to the global optimum of this problem. The paper proposes a combined genetic algorithm (GA) and linear programming (LP) method, named GALP for solving water distribution system design problems. It was investigated that the proposed method provides results that are more stable in terms of closeness to a global minimum. The main idea is that linear programming is more dependable than heuristic methods in finding the global optimum, but because it is suitable only for solving branched networks, the GA method is used in the proposed algorithm for decomposing a complex looped network into a group of branched networks. Linear programming is then applied for optimizing every branch network produced by GA from the original looped network. The proposed method was tested on three benchmark least-cost design problems and compared with other methods; the results suggest that the GALP consistently provides better solutions. The method is intended for use in the design and rehabilitation of drinking water systems and pressurized irrigation systems as well.