Stochastic long-term reliability of water distribution networks using Monte Carlo simulation

2021 ◽  
pp. 1-10
Author(s):  
Mehdi Dini ◽  
Amin Mohammadikaleibar ◽  
Saeed Hashemi ◽  
Vahid Nourani
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks

A study on appropriate investment of pipeline rehabilitation for water distribution network

2005 ◽  
Vol 5 (2) ◽  
pp. 31-38
Author(s):  
A. Asakura ◽  
A. Koizumi ◽  
O. Odanagi ◽  
H. Watanabe ◽  
T. Inakazu
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Water Supply ◽  
Water Distribution ◽  
Ad Hoc ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Distribution Networks ◽  
Optimal Basis ◽  
Model Case

In Japan most of the water distribution networks were constructed during the 1960s to 1970s. Since these pipelines were used for a long period, pipeline rehabilitation is necessary to maintain water supply. Although investment for pipeline rehabilitation has to be planned in terms of cost-effectiveness, no standard method has been established because pipelines were replaced on emergency and ad hoc basis in the past. In this paper, a method to determine the maintenance of the water supply on an optimal basis with a fixed budget for a water distribution network is proposed. Firstly, a method to quantify the benefits of pipeline rehabilitation is examined. Secondly, two models using Integer Programming and Monte Carlo simulation to maximize the benefits of pipeline rehabilitation with limited budget were considered, and they are applied to a model case and a case study. Based on these studies, it is concluded that the Monte Carlo simulation model to calculate the appropriate investment for the pipeline rehabilitation planning is both convenient and practical.

Optimization of small hydropower systems in water distribution networks through evolutionary algorithms and water demand forecasting

2021 ◽  
Author(s):  
Robert Sitzenfrei ◽  
Lukas Schartner ◽  
Martin Oberascher
Keyword(s):  
Drinking Water ◽  
Water Demand ◽  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Water Volume ◽  
Hydropower Production ◽  
Water Surplus ◽  
Demand Forecasts

<p>The transition from fossil fuel to renewable energies represents the central challenge of the early 21st century. In this context, small hydro power systems (SHPS) can be implemented in water distribution networks (WDNs) to use pressure and drinking water surplus for hydropower production. However, inflow to SHPS is normally controlled based on the available water volume after ensuring a reliable drinking water supply and considering a fire-fighting reserve. Hence, the hydropower generation in WDNs has to be in accordance with its primary tasks. The challenge now is to optimally use the available pressure and water surplus for hydropower production while at the same time reliably fulfilling drinking water constraints.</p><p>In this work, future predictions of daily water demand are added into the control strategy of SHPS to optimize the operation. The control procedure of a SHPS is optimized by means of an evolutionary algorithm in combination with Monte-Carlo sampling. This is done for different categorized water demand and water source data in order to maximize profit while ensuring the WDNs reliable operation. Further, water demand forecasts of varying quality are evaluated in combination with previously optimized and categorized SHPS control-sets. For case study, a real WDN of an Alpine municipality is hypothetically retrofitted with a controllable SHPS. Different types of SHPS and turbine characterises are investigated using amount of hydropower production, more specifically profitability, as performance indicator.</p><p>While in literature, optimization is usually performed based on representative days (e.g., average day demand), long-term simulations over 10 years are used in this work. Therefore, a sufficient supply pressure in all water demand nodes in the WDN is ensured during this period. This results in a significant lower but more realistic estimation of potential benefits. The results also show, that after optimizing the SHPS location and device size, an additional potential increase of yearly profit of 1.1% can be achieved in the long-term operation of a Pelton turbine by considering water demand forecasts.</p>

scholarly journals Solving Management Problems in Water Distribution Networks: A Survey of Approaches and Mathematical Models

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 562 ◽  
Author(s):  
Oladipupo Bello ◽  
Adnan Abu-Mahfouz ◽  
Yskandar Hamam ◽  
Philip Page ◽  
Kazeem Adedeji ◽  
...  
Keyword(s):  
Mathematical Models ◽  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Future Research ◽  
Water Utility ◽  
New Directions ◽  
Management Problems ◽  
Utility Managers

Modern water distribution networks (WDNs) are complex and difficult to manage due to increased level of urbanization, varying consumer demands, ageing infrastructure, operational costs, and inadequate water resources. The management problems in such complex networks may be classified into short-term, medium-term, and long-term, depending on the duration at which the problems are solved or considered. To address the management problems associated with WDNs, mathematical models facilitate analysis and improvement of the performance of water infrastructure at minimum operational cost, and have been used by researchers, water utility managers, and operators. This paper presents a detailed review of the management problems and essential mathematical models that are used to address these problems at various phases of WDNs. In addition, it also discusses the main approaches to address these management problems to meet customer demands at the required pressure in terms of adequate water quantity and quality. Key challenges that are associated with the management of WDNs are discussed. Also, new directions for future research studies are suggested to enable water utility managers and researchers to improve the performance of water distribution networks.

scholarly journals Flexible investment planning for water distribution networks

2017 ◽  
Vol 20 (1) ◽  
pp. 18-33 ◽  
Author(s):  
R. Pellegrino ◽  
N. Costantino ◽  
O. Giustolisi
Keyword(s):  
Water Distribution ◽  
Pareto Front ◽  
Optimization Technique ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
General Strategy ◽  
Post Processing ◽  
Investment Planning ◽  
Innovative Strategy

Abstract The present work focuses on the planning of water distribution networks (WDNs). The research proposes an innovative strategy which aims at helping water managers formulate flexible investment plans while allowing for adaptive management under the increasing unawareness of medium–long term planning. This innovative strategy differs from existing strategies accounting for flexibility in WDN design. It allows for developing flexible investment plans without assuming that statistic or deterministic assumptions can account for all unawareness. The strategy introduces the key idea of technical contiguity of actions/solutions by post-processing a Pareto front obtained by a classic optimization technique in order to obtain sequential actions. This means retrieval of a set of ‘technically contiguous’ actions from the Paretian solutions, namely, by increasing the investment each action needs to contain the previous one. The application to the Apulian network allows discussion of the need for post-processing the Pareto front of solutions returned by the classic multi-objective design optimization and presenting the general strategy to obtain adaptive and flexible investment plans. We discuss further perspectives of the proposed strategy based on the integration of different flexible plans, each obtained with different assumptions, which could be statistic or deterministic, for the system boundary conditions.

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