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Advanced Technologies for Sustainable Water Distribution Systems
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Advanced Technologies for Sustainable Water Distribution Systems

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: 15 January 2025 | Viewed by 2480

Special Issue Editors

Dr. Do Guen Yoo

E-Mail Website
Guest Editor
Department of Civil Engineering, The University of Suwon, Bongdam-eup, Hwaseong-si 18323, Gyeonggi-do, Republic of Korea
Interests: resilience-based design and management of water distribution networks; optimization; meta-heuristics algorithms; advanced metering infrastructures; smart water techniques
Special Issues, Collections and Topics in MDPI journals
Dr. Seungyub Lee

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, Hannam University, Daejeon 34430, Republic of Korea
Interests: urban water infrastructure; water distribution system analysis; sustainability; resilience; aging infrastructure; optimization; asset management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advanced technologies, such as big data and artificial intelligence (AI), offer great potential to address the challenges of sustainable water distribution systems. The integration of big data and AI can assist in solving emerging issues in the water distribution system such as identifying the relationship between sustainability components, innovative strategies for sustainable development, and long-term adaptive operations considering climate change and population growth.

There is a general agreement on the definition of sustainability of the water distribution system, but it is often difficult to clearly reflect it in the planning and management phase. Over recent decades, several studies have referred to the sustainability of water distribution systems and solved their emerging issues in the limited perspective of sustainability (e.g., cost effectiveness, environmental impacts, reliability, resilience, etc.). As the sustainability of the water distribution system is the sustainability of our communities, it is now important to rethink the sustainability and sustainable development of the water distribution system.

The goal of the Special Issue is to focus on emerging topics of sustainable development of water distribution systems by their sustainable design, operation, and management. The main priorities of the research are as follows:

  • Defining sustainability of water distribution systems;
  • Identifying the relationship among sustainability components;
  • Innovative strategies for sustainable development of water distribution systems;
  • Application of optimization algorithms and artificial-intelligence-based techniques to predict the long-term performance of water distribution systems;
  • Comprehensive sustainability analysis of water distribution systems;
  • Solving water distribution system aging issues;
  • Big data analytics for identifying and addressing emerging problems in water distribution systems;
  • AI-based solutions for improving the performance and efficiency of water distribution systems;
  • Long-term adaptive operation considering climate change and population growth;
  • System dynamics modeling of water distribution systems.

Dr. Do Guen Yoo
Dr. Seungyub Lee
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • water distribution system analysis
  • sustainable development
  • planning and management
  • big data
  • artificial intelligence
  • drinking water infrastructure
  • smart water system

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Published Papers (2 papers)

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Research

17 pages, 4470 KiB  
Article
Helically Coiled Tube Flocculators in Water Clarification Systems: Optimal Length Evaluation and Process Efficiency Probabilistic Analysis
by Danieli S. Oliveira and Clainer B. Donadel
Sustainability 2024, 16(5), 2172; https://doi.org/10.3390/su16052172 - 6 Mar 2024
Cited by 1 | Viewed by 838
Abstract
New sustainable technologies have been explored as potential solutions to address the global issue of water scarcity by enhancing water treatment processes. In this context, an innovative coagulation/flocculation unit known as the helically coiled tube flocculator (HCTF) has emerged, offering notable advantages such [...] Read more.
New sustainable technologies have been explored as potential solutions to address the global issue of water scarcity by enhancing water treatment processes. In this context, an innovative coagulation/flocculation unit known as the helically coiled tube flocculator (HCTF) has emerged, offering notable advantages such as high process efficiency, short detention time, and cost-effectiveness compared to conventional hydraulic units. The HCTF harnesses its flow energy to disperse coagulation/flocculation agents and facilitate the formation of flocs through collisions between destabilized particles. This paper introduces an assessment of the process efficiency, geometric properties, and hydraulic characteristics of an alternative and sustainable water clarification system incorporating an HCTF, with the aim of determining its optimal length. In HCTFs, the flocculator’s length (referred to as L) can exert a significant influence on process efficiency, necessitating a comprehensive evaluation of this parameter for the rational design of such units. To accomplish this, the paper scrutinizes physical experimental findings from previous research articles, which are related to the efficiency of flocculation (indirectly estimated by analyzing turbidity removal efficiency). Additionally, it examines the geometric and hydraulic attributes across 48 distinct variations of HCTFs. This study culminates in the development of a model for determining the optimal length for HCTFs. Furthermore, it includes a probabilistic assessment that establishes a connection between the optimal length and other parameters involved in the clarification process—whether deterministic or probabilistic—and their impact on the final process efficiency, all with a 90% confidence level. This paper stands out by pioneering the determination of the optimal length of HCTFs, filling a gap in the existing literature, which previously only mentioned the importance of this parameter in process efficiency without providing a predictive model. The results highlight the robustness of the proposed alternative clarification system. Even in scenarios with substantial variations in dimensional hydraulic parameters (such as a worst-case relative standard deviation of 20%), the process efficiency fluctuations range between 1.3% and 5.2%. These outcomes lend support to the adoption of such alternative water clarification systems. They also underscore the potential of probabilistic evaluation as a valuable tool for investigating novel water and wastewater treatment units and enhancing existing ones. Full article
(This article belongs to the Special Issue Advanced Technologies for Sustainable Water Distribution Systems)
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17 pages, 3571 KiB  
Article
Designing Isolation Valve System to Prevent Unexpected Water Quality Incident
by Geumchae Shin, Soon Ho Kwon and Seungyub Lee
Sustainability 2024, 16(1), 153; https://doi.org/10.3390/su16010153 - 22 Dec 2023
Viewed by 1111
Abstract
Designing an effective isolation valve system (IVS) is vital to enhance resilience against unforeseen failures in water systems. During isolation, the system’s hydraulics undergo changes, potentially causing alterations in flow direction and velocity, leading to the dislodgement of accumulated materials and triggering unexpected [...] Read more.
Designing an effective isolation valve system (IVS) is vital to enhance resilience against unforeseen failures in water systems. During isolation, the system’s hydraulics undergo changes, potentially causing alterations in flow direction and velocity, leading to the dislodgement of accumulated materials and triggering unexpected water quality incidents. This study presents a novel IVS design approach by integrating the consideration of flow direction change (FDC) as an additional constraint within conventional reliability-based models. Two optimization models, Optimization I and Optimization II, prioritize reliability, with the latter also factoring in valve installation cost as a multi-objective function. Performance evaluation metrics, such as the Hydraulic Geodesic Index (HGI), Modified Resilience Index (MRI), and robustness index, were employed for a comprehensive analysis. The results indicated more than 40 instances of FDC in the traditional design, challenging the conventional notion that a higher number of valves inherently reduces risk. The superiority of the proposed model persisted for the single reservoir network in Optimization II. However, for networks with multiple reservoirs, the traditional design outperformed the proposed model, particularly in terms of cost. Nevertheless, when comparing designs with similar reliability, the proposed model showcased a superior performance, despite its higher associated cost. Notably, the proposed approach exhibits potential cost-effectiveness, considering the potential economic losses attributable to water quality incidents. In summary, the implementation of this methodology can effectively manage both water quality and quantity, enabling the identification of vulnerable pipes within the network for sustainable management. Full article
(This article belongs to the Special Issue Advanced Technologies for Sustainable Water Distribution Systems)
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