Modelling and optimization of least-cost water distribution networks with multiple supply sources and users

Carini, Manuela; Maiolo, Mario; Pantusa, Daniela; Chiaravalloti, Francesco; Capano, Gilda

doi:10.1007/s11587-017-0343-y

Cited by 20 publications

(10 citation statements)

References 61 publications

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“…The optimization model used in this paper is a least-cost optimization model aimed at identifying the proper allocation of drinking water resources, as proposed in [21] and revised in [33].…”

Section: Methodsmentioning

confidence: 99%

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Optimization of Drinking Water Distribution Systems in Relation to the Effects of Climate Change

Maiolo

Mendicino

Pantusa

et al. 2017

Water

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Abstract:Proper water resources management involves the analysis and resolution of various optimization problems according to climate change effects on the availability and distribution of the resources themselves. Specifically, these conditions require the identification of new resource allocation optimization solutions capable of taking into account the water resource losses due to climate change scenarios. As is well known, Southern Italy is a region that is potentially very sensitive to climate change. In this paper, a 1717 km 2 area, corresponding to the province of Crotone, was analyzed as a study case. This area is characterized by a sufficient availability of resources as a whole as compared to the needs of the users, but has an unbalanced distribution of water through its various systems. After identifying water resource allocations in detail for this area, an optimization solution accounting for the expected reduced availability of water resources in the context of climate change was created and was compared with the optimization solution for current water availability.

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Section: Methodsmentioning

confidence: 99%

“…The specific modeling of the cost function is that proposed in [21] and revised in [33]: (3) where the parameters depend on the type of material, its class, and the state of the pipeline material; in particular, L ij is the distance between nodes i and j, and Y ij = h i − h j is the corresponding piezometric head difference.…”

Section: Methodsmentioning

confidence: 99%

Optimization of Drinking Water Distribution Systems in Relation to the Effects of Climate Change

Maiolo

Mendicino

Pantusa

et al. 2017

Water

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“…Real-time knowledge of the available flow rates at source, and prediction of total or partial inadequacy of supply (O'Flynn et al 2010;Quevedo et al 2010;Stewart et al 2010;Maiolo et al 2017) 2. Using mathematical hydraulic models, expert systems and/or artificial intelligence structures, for WDS simulation, calibration and management (Gupta & Bhave 1994;Ghorbani et al 2010;Nourani et al 2011;Maiolo & Pantusa 2016;Carini et al 2018;Maiolo & Pantusa 2017a, 2017b 3. Integrated management of reservoirs and networks, under normal conditions and during resource shortages, with the potential for re-balancing the network to avoid overpressure, water troughs and overflow in reservoirs (Mousavi et al 2005;Liu et al 2006;Rao & Salomons 2007) 4.…”

Section: Introductionmentioning

confidence: 99%

Trends in metering potable water

Maiolo

Carini

Capano

et al. 2018

Water Practice and Technology

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Sustainable management of drinking water distribution systems requires information on the operating status of system components to identify the best operational management measures. The ability to acquire information on tank levels, pipeline flow and real-time pressure offers an efficient and cost-effective management perspective, and enables wider monitoring, which can improve (physical) security as well. The technology of measuring instruments for hydrodynamic variables, used to monitor potable water systems, differs in their independence from electronic data acquisition components and ability to connect to remote data communication systems. Advanced water measurement infrastructure is characterized by the ability to capture data with measurable errors from anywhere in the system, without restrictions on communication type. This paper deals with the measurement of hydrodynamic parameters and a proposal for water meter classification. It includes analysis of the main water meter and data tele-acquisition infrastructure. Several selection criteria are evaluated with respect to their ability to support mathematical hydraulic models and expert systems for water distribution system management.Key words: advanced metering infrastructure (AMI), internet of things (IOT), potable water, sustainable water management, water distribution system (WDS)

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“…The model, which assumed five years of acceleration in both the control period and in the future scenario, was able to assess changes in water resources availability for the climate change scenario and to proceed to the water scheme optimization. For the optimization model, the present paper resumes and revises a least-cost optimization model proposed in ( (Maiolo & Pantusa, 2016), (Carini , Maiolo, Pantusa, Chiaravalloti, & Capano, 2017)) aimed at identifying the proper allocation of drinking water resources. In particular, the optimization model analyses the water resources available in a territory in relation to the demand of the users, in order to determine the possible transfer of water resources in the territory by different schemes.…”

Section: Methodsmentioning

confidence: 99%

“…With reference to the research activity and optimization model described in ( (Maiolo & Pantusa, 2016), (Carini , Maiolo, Pantusa, Chiaravalloti, & Capano, 2017), (Maiolo , Mendino , Pantusa , & Senatore, 2017)) this work proposes an improvement of the cost modeling previously proposed in ( (Maiolo & Pantusa, 2016), (Carini , Maiolo, Pantusa, Chiaravalloti, & Capano, 2017)) through: 1) Inclusion of existing pipes with new ones in parallel if necessary; 2) Inclusion of pumping stations (existing and new ones when needed); 3) Inclusion of operation costs for the pumping stations (existing and new ones when needed); 4) Design for adequate peak flows and consideration of operating costs (energy costs) based on average flows. The following assumptions are used for the cost modeling:…”

Section: Methodsmentioning

confidence: 99%

Influence of Climate Change on the Optimization of Water Supply Systems

Maiolo¹,

Mendicino²,

Pantusa³

et al.

EPiC Series in Engineering

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In the last decades, climate change is affecting several aspects of human and natural systems worldwide. Concerning water resources, the main impacts are related to the combined effect of temperature increase and changes in availability and distribution of precipitation, which affects both quantity and quality. The Mediterranean is potentially very sensitive to climate change. In Calabria (Southern Italy) the projected reduction suggests a particular care in matching water resource availability and needs. In this paper, the province of Crotone in Calabria was analyzed as a study case. This area is characterized by a sufficient availability of resources as a whole when compared with the needs of the users, but with an unbalanced distribution through its networks. This condition requires the identification of a resource allocation optimization solution. Using a least-cost optimization model, water resource optimization solutions were identified and compared starting from a review of the existing water supply systems, taking into account both current water availability and possible future availability due to climate change.

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Modelling and optimization of least-cost water distribution networks with multiple supply sources and users

Cited by 20 publications

References 61 publications

Optimization of Drinking Water Distribution Systems in Relation to the Effects of Climate Change

Optimization of Drinking Water Distribution Systems in Relation to the Effects of Climate Change

Trends in metering potable water

Influence of Climate Change on the Optimization of Water Supply Systems

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