scholarly journals Smart Water Grid Research Group Project: An Introduction to the Smart Water Grid Living-Lab Demonstrative Operation in YeongJong Island, Korea

2021 ◽  
Author(s):  
Kang Min Koo ◽  
Kuk Heon Han ◽  
Kyung Soo Jun ◽  
Gyu Min Lee ◽  
Kyung Taek Yum
Keyword(s):  
South Korea ◽  
Water Supply ◽  
Real Time ◽  
Research Group ◽  
National Level ◽  
Continuous Increase ◽  
Smart Water ◽  
Field Operation ◽  
Living Lab ◽  
Smart Water Grid

In South Korea, in line with the increasing need for a reliable water supply following the continuous increase in water demand, the Smart Water Grid Research Group (SWGRG) was officially launched in 2012. With the vision of providing water welfare at a national level, SWGRG incorporated information and communications technology in its water resource management, aiming at the development of core technologies for a Smart Water Grid consisting of intelligent microgrids and a demonstration and tests of the developed technologies through a field operation in a living lab. The living lab was built in Block 112 of YeongJong Island, Incheon, South Korea (area of 17.4 km2, population of 8,000), where Incheon International Airport, a hub of Northeast Asia, is located. In this location, water is supplied through a single submarine pipeline, making the place optimal for responses to water crises and the construction of a water supply system during emergencies. From 2017 to 2019, ultrasonic wave type smart water meters and IEEE 802.15.4g advanced metering infrastructure (AMI) networks were installed at 527 sites of 958 consumer areas in the living lab, and core element technologies (intelligent water source management and distribution system, smart water distribution network planning/control/operation strategy establishment, AMI network and device development, integrated management of bi-directional smart water information), and operation solutions (smart water statistics information, real-time demand-supply analysis, decision support system, real-time hydraulic pipeline network analysis, smart DB management, and water information mobile application) were developed through a field operation and testing.

scholarly journals Smart Water Grid Research Group Project: An Introduction to the Smart Water Grid Living-Lab Demonstrative Operation in YeongJong Island, Korea

2021 ◽  
Vol 13 (9) ◽  
pp. 5325
Author(s):  
Kang-Min Koo ◽  
Kuk-Heon Han ◽  
Kyung-Soo Jun ◽  
Gyumin Lee ◽  
Kyung-Taek Yum
Keyword(s):  
South Korea ◽  
Water Supply ◽  
Real Time ◽  
Research Group ◽  
Water Resource Management ◽  
National Level ◽  
Continuous Increase ◽  
Smart Water ◽  
Living Lab ◽  
Smart Water Grid

In South Korea, in line with the increasing need for a reliable water supply following the continuous increase in water demand, the Smart Water Grid Research Group (SWGRG) was officially launched in 2012. With the vision of providing water welfare at a national level, SWGRG incorporated Information and Communications Technology in its water resource management, and built a living lab for the demonstrative operation of the Smart Water Grid (SWG). The living lab was built in Block 112 of YeongJong Island, Incheon, South Korea (area of 17.4 km2, population of 8000), where Incheon International Airport, a hub for Northeast Asia, is located. In this location, water is supplied through a single submarine pipeline, making the location optimal for responses to water crises and the construction of a water supply system during emergencies. From 2017 to 2019, ultrasonic wave type smart water meters and IEEE 802.15.4 Advanced Metering Infrastructure (AMI) networks were installed at 527 sites of 958 consumer areas in the living lab. Therefore, this study introduces the development of SWG core element technologies (Intelligent water source management and distribution system, Smart water distribution network planning/control/operation strategy establishment, AMI network and device development, Integrated management of bi-directional smart water information), and operation solutions (Smart water statistics information, Real-time demand-supply analysis, Decision support system, Real-time hydraulic pipeline network analysis, Smart DB management, and Water information mobile application) through a field operation and testing in the living lab.

Towards Smart Water Cities – opportunities arising from Smart Rain Barrels for urban drainage and water supply

2020 ◽  
Author(s):  
Martin Oberascher ◽  
Carolina Kinzel ◽  
Martin Schöpf ◽  
Ulrich Kastlunger ◽  
Christoph Zingerle ◽  
...  
Keyword(s):  
High Resolution ◽  
Water Supply ◽  
Real Time ◽  
Control Strategy ◽  
Drainage System ◽  
Urban Drainage ◽  
Urban Water ◽  
Water Infrastructure ◽  
Smart Water ◽  
Smart Campus

<p>In this work, the concept of the smart rain barrel (SRB) as an IoT solution for green infrastructure is presented. The SRB are real-time controlled micro-storages (200 litre) used for an advanced rainwater management. System states and high-resolution weather forecasts from the meteorological service are integrated into the control strategy to provide adequate rainwater for irrigation requirements and to reduce peak runoff in the drainage system. The integration into the smart water infrastructure and the exchange of control commands is done via LoRaWAN, a low-power radio network. For ease of development and to demonstrate the effectiveness of the SRB concept, a two-stage approach was chosen.</p><p>First, a prototype of the SRB was built, which is in operation at the university campus of Innsbruck (Austria) during the summer months since 2019. The campus area, also denoted Smart Campus, is part of a pilot project for a “Smart Water City”. This campus is used as both, demonstration object and experimental framework for smart applications in urban water management. The Smart Campus integrates water supply and urban drainage into a joint controlled system, in which natural and anthropogenic water inflows and outflows are measured in real-time. Current measurements encompass water consumptions and pressures in the distribution system, meteorological data at different locations, filling levels in the drainage system, as well as filling levels and soil moistures of decentralised stormwater retention and infiltration systems. The temporal resolution of the measurements is depending on the application between 1 and 15 minutes. By using these high-resolution measurement data, the Smart Campus is an ideal testing ground for smart applications such as the SRB.</p><p>In addition, numerical simulations were carried out to test different control strategies and to investigate the effects of a large-scale implementation of the SRBs at community level. The results show that the SRBs can significantly improve system performance (e.g. reduce potable drinking water demand and reduce the risk of flooding) despite their small storage volumes. But the results also demonstrate, that if a large number of SRBs are implemented, a coordinated control strategy to operate SRBs and urban water infrastructure is necessary to avoid a worsening of the system (e.g. generate a combined sewer overflow by simultaneous emptying the SRBs during dry weather flow).</p>

scholarly journals Smart water grid: a review and a suggestion for water quality monitoring

2021 ◽  
Author(s):  
B. Bharani Baanu ◽  
K. S. Jinesh Babu
Keyword(s):  
Water Resources ◽  
Real Time ◽  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution System ◽  
Quality Parameters ◽  
Smart Water ◽  
Networking Protocols ◽  
Smart Water Grid

Abstract Water is a valuable resource and an elixir of life. It is intimately linked to the living standards around the world. Reducing the water stress and conserving the resource is vital. It is the need of the hour to ameliorate the conventional water resources systems to monitor the water quantity and quality parameters continuously in real-time. Smart solutions play an important role in monitoring the system parameters and make on-site measurements. This paper focuses on Smart Water Grid, an ingenious way to monitor and preserve the quantity and quality parameters in real-time by deploying remote sensors in water distribution system. It presents a review of various sensors deployed, networking protocols used and cloud platforms employed in monitoring the water distribution system. The suitable networking protocols for the water distribution systems are suggested by analyzing various smart solutions. It also proposes an architecture for an IoT-based system to monitor the residual chlorine concentration in water distribution system. Smart Water Grid using Wireless Sensor Networks and the Internet of Things enables to monitor on-site conditions and generates alerts during abnormal conditions. It can enhance timely decision making which will help in managing valuable water resources more efficiently.

scholarly journals Network Calculus-Based Latency for Time-Triggered Traffic under Flexible Window-Overlapping Scheduling (FWOS) in a Time-Sensitive Network (TSN)

2021 ◽  
Vol 11 (9) ◽  
pp. 3896
Author(s):  
Khaled M. Shalghum ◽  
Nor Kamariah Noordin ◽  
Aduwati Sali ◽  
Fazirulhisyam Hashim
Keyword(s):  
Real Time ◽  
Connected Vehicles ◽  
Network Calculus ◽  
Timing Constraints ◽  
Traffic Scheduling ◽  
Worst Case ◽  
Continuous Increase ◽  
Scheduled Traffic ◽  
Support Time ◽  
New Framework

Deterministic latency is an urgent demand to pursue the continuous increase in intelligence in several real-time applications, such as connected vehicles and automation industries. A time-sensitive network (TSN) is a new framework introduced to serve these applications. Several functions are defined in the TSN standard to support time-triggered (TT) requirements, such as IEEE 802.1Qbv and IEEE 802.1Qbu for traffic scheduling and preemption mechanisms, respectively. However, implementing strict timing constraints to support scheduled traffic can miss the needs of unscheduled real-time flows. Accordingly, more relaxed scheduling algorithms are required. In this paper, we introduce the flexible window-overlapping scheduling (FWOS) algorithm that optimizes the overlapping among TT windows by three different metrics: the priority of overlapping, the position of overlapping, and the overlapping ratio (OR). An analytical model for the worst-case end-to-end delay (WCD) is derived using the network calculus (NC) approach considering the relative relationships between window offsets for consecutive nodes and evaluated under a realistic vehicle use case. While guaranteeing latency deadline for TT traffic, the FWOS algorithm defines the maximum allowable OR that maximizes the bandwidth available for unscheduled transmission. Even under a non-overlapping scenario, less pessimistic latency bounds have been obtained using FWOS than the latest related works.

scholarly journals Water Use Efficiency Current Status Assessment in the Context of WATenERgy CYCLE Project

Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 602
Author(s):  
Stavroula Tsitsifli ◽  
Anastasia Papadopoulou ◽  
Vasilis Kanakoudis ◽  
Konstantinos Gonelas
Keyword(s):  
Water Supply ◽  
Water Use Efficiency ◽  
Water Use ◽  
Methodological Approach ◽  
National Level ◽  
Water Utilities ◽  
Current Status ◽  
Water Supply Systems ◽  
Use Efficiency ◽  
Supply Systems

Water use efficiency is a crucial issue in drinking water utilities as it is connected to environmental and economic consequences. WATenERgy CYCLE project aims at developing a methodological approach towards efficient and effective transnational water and energy resources management in the Balkan–Mediterranean area. The paper presents the results of performance evaluation of the water supply systems of the water utilities involved in the project, both at local and national level. The methodology used in the water balance and performance indicators as well as data on the operational status of the water supply systems. The results showed that Non-Revenue Water is one of the major problems addressed.

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