scholarly journals Smart Water Management towards Future Water Sustainable Networks

Water ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 58 ◽  
Author(s):  
Helena Ramos ◽  
Aonghus McNabola ◽  
P. López-Jiménez ◽  
Modesto Pérez-Sánchez

Water management towards smart cities is an issue increasingly appreciated under financial and environmental sustainability focus in any water sector. The main objective of this research is to disclose the technological breakthroughs associated with water and energy use. A methodology is proposed and applied in a case study to analyze the benefits to develop smart water grids, showing the advantages offered by the development of control measures. The case study showed the positive results, particularly savings of 57 GWh and 100 Mm3 in a period of twelve years when different measures from the common ones were developed for the monitoring and control of water losses in smart water management. These savings contributed to reducing the CO2 emissions to 47,385 t CO2-eq. Finally, in order to evaluate the financial effort and savings obtained in this reference systems (RS) network, the investment required in the monitoring and water losses control in a correlation model case (CMC) was estimated, and, as a consequence, the losses level presented a significant reduction towards sustainable values in the next nine years. Since the pressure control is one of the main issues for the reduction of leakage, an estimation of energy production for Portugal is also presented.

10.29007/gb4g ◽  
2018 ◽  
Author(s):  
Lian Guey Ler ◽  
Philippe Gourbesville

The objective of smart water management is to achieve water security at all levels (building, city and regional) in a sustainability and self- sufficiency manner, through the use of information technology, monitoring and control technology and the implementation of holistic system of all the processes in water cycle. It also provides the water utilties economic benefits through the reduction of non-revenue water losses through the detection of illegal connections and water theft. According to the characteristics of smart water, we proposed the following overall framework for a smart water city. In the proposed framework, there are seven main components which can be categorized into three main compartments. First is Hardware (Sensors and Sensors Adapters) which deals data acquisition, monitoring, conversion and transmission. The second component is Water Information System (Big Water Data Management and Analysis) which deals with data processing and storage. The third one is Software (Support Services and Applications), which deals with modelling and analytics, real- time monitoring and control system, decision support system and visualization and dissemination of information to stakeholders.


Author(s):  
A. Di Mauro ◽  
G. F. Santonastaso ◽  
S. Venticinque ◽  
A. Di Nardo

Abstract In the era of Smart Cities, in which the paradigms of smart water and smart grid are keywords of technological progress, advancements in metering systems allow for water consumption data collection at the end-use level, which is necessary to profile users' behaviors and to promote sustainable use of water resources. In this paper, a real case study of residential water end-use consumption monitoring shows how data collected at a high-resolution rate allow for the evaluation of consumption profiles. The analysis was carried out by calculating consumption statistics, hourly consumption patterns, daily use frequency, and weekly use frequency. Then, the comparison of two consumption profiles, computed before and after the COVID-19 lockdown, allows us to understand how a change in social and economic factors can affect users' behavior. Finally, new perspectives for water demand modeling and management, based on data with high temporal frequency, are presented.


2018 ◽  
Vol 5 (1) ◽  
pp. 70
Author(s):  
Christos Stamopoulos ◽  
Eleni Theodoropoulou

The present paper investigates the characteristics and best construction strategies of smart cities around the world, as well as the determining factors of the satisfaction of the quality of life and the importance of the value of environmental sustainability. A case study of the city of Kalampaka and its residents was examined. The survey was conducted between July 2016 and August 2016. The selection of the sample was done by using the method of simple selection and includes a random sample of N=150 individuals. Statistical analysis showed that resident’s knowledge about smart cities was fairly good (48% of sample knew the phrase “smart cities”). Furthermore, they believe that the appearance of the city of Kalampaka needs improvement (75% of sample is disappointed with the current appearance of the city). Regression analysis showed that the value of environmental sustainability is greatly influenced by the energy saving, as well as, innovation has an impact on the level of quality of life. Older people seem to be satisfied with administration’s efforts.


2006 ◽  
Vol 12 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Erik Bjørn ◽  
Henrik Brohus

To facilitate the decision‐making and communication, an evaluation method has been devised that incorporates environmental effects of the energy use with thermal and atmospheric indoor climate in a score on an absolute scale from 0–100 %, called the “Eco‐factor”. This factor is based on indicators of physical properties. For the indoor climate part these include mainly the indoor temperature, velocity, and concentration fields. The energy part considers the energy distributed to energy sources, and the environmental effects of the resulting airborne emissions evaluated by Life Cycle Assessment (given by default figures from a database). The tool is used to make an overall assessment of the quality of design alternatives, where the “costs” (energy) is compared to the “benefit” (indoor climate), and to identify possibilities for improvement. The paper shows a model case study of an office building, where choices are considered that must be made in an early design phase.


10.29007/hhw9 ◽  
2018 ◽  
Author(s):  
Raquel Gómez-Beas ◽  
Eva Contreras-Arribas ◽  
Sergio Romero ◽  
Óscar Lorente ◽  
Antonio Linares-Sáez ◽  
...  

Water resources management requires the integration of many complex physical processes, as well as the interaction of many stakeholders, to ensure the sustainable use of surface and groundwater resources. Water problems to which water authorities have to face are water deficit to supply a wide and increasing demand, floods, water pollution, leaks in water distribution infrastructures, and optimization in the energy use and production. A comprehensive and detailed analysis of the availability of water resources in terms of quantity and quality, and of water demand in their variability in space and time, is indispensable. In this context, SAID (SmArt water management with Integrated Decision support systems) project addresses the development, implementation, validation and integration of the most innovative DSSs as the basis for smart water management systems in complex basins. This paper focuses on the methodology carried out to integrate multipurpose aspects involved in the management of water resources in Guadalhorce River Basin (southern Spain), as a demonstrator area. As a support in the decision making process to dam managers, the resulting integrated DSS allows to execute predictive simulations to anticipate the watershed response, considering two types of scenarios (flood and ordinary), driven by different optimization criteria.


Modelling ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 134-155 ◽  
Author(s):  
Carlo Giudicianni ◽  
Manuel Herrera ◽  
Armando di Nardo ◽  
Kemi Adeyeye ◽  
Helena M. Ramos

Current and future smart cities are moving towards the zero-net energy use concept. To this end, the built environment should also be designed for efficient energy use and play a significant role in the production of such energy. At present, this is achieved by focusing on energy demand in buildings and to the renewable trade-off related to smart power grids. However, urban water distribution systems constantly carry an excess of hydraulic energy that can potentially be recovered to produce electricity. This paper presents a comprehensive review of current strategies for energy production by reviewing the state-of-the-art of smart water systems. New technologies (such as cyber-physical systems, digital twins, blockchain) and new methodologies (network dynamics, geometric deep learning) associated with digital water are also discussed. The paper then focuses on modelling the installation of both micro-turbines and pumps as turbines, instead of/together with pressure reduction valves, to further demonstrate the energy-recovery methods which will enable water network partitioning into district metered areas. The associated benefits on leakage control, as a source of energy, and for contributing to overall network resilience are also highlighted. The paper concludes by presenting future research directions. Notably, digital water is proposed as the main research and operational direction for current and future Water Distribution Systems (WDS) and as a holistic, data-centred framework for the operation and management of water networks.


Author(s):  
J. Cassidy ◽  
B. Barbosa ◽  
M. Damião ◽  
P. Ramalho ◽  
A. Ganhão ◽  
...  

Abstract Efficiency optimization of urban water systems is a growing concern for water utilities worldwide. This case study aimed at evaluating the impact of using cloud-based tools on the reduction of both real (real-time network monitoring) and apparent water losses (integrated customer meters management) in two water utilities. The incorporation of smart water solutions with a methodology for the management and operation of the systems allowed to diagnose, prioritize areas and define actions to improve efficiency. Using a real-time monitoring tool allowed to categorize bursts and to evaluate their impact on water loss volumes and to identify operational inefficiencies regarding detection and repair times, particularly in small and medium bursts. Additionally, the implementation of an integrated customer meters management tool allowed for an optimized meter management reducing apparent losses by estimating metering errors more accurately, allowing the water utilities to replace meters based on specific lifespan. Digitalization, through the implementation of optimized algorithms and early warning systems, allowed the analysis of data in a methodical and prompt manner resulting in non-revenue water reduction up to 8% in 3 years while improving the digital organization of data and its quality (reliability and accuracy), interdepartmental organization and communication, capacity building and utilities’ image among stakeholders.


Author(s):  
Dipak S. Gade

Purpose: Worldwide water scarcity is one of the major problems to deal with. Smart Cities also faces this challenging problem due to its ever-increasing population and limited sources of natural water. Additionally, careless usage of water and large water wastage has made the water issues as a serious concern. Today Smart Cities are using advanced technical solutions to deal with various problems, to deal with water shortage problems, Smart Cities uses Smart Water Management System, an intelligent system which distributes and control existing water supply on need basis, and also it facilitates recycling of water for again using for specific activities. In this paper I have provided the overview of Smart Water Management System, its features, and functionalities. I also reviewed available literature on Water Management Systems for Smart Cities and considering the latest tools and technologies and understanding some of the limitations of existing Smart Water Management Systems, I proposed an easy to develop, operate and maintain Smart Water Management Solution called as "iWMS". The proposed conceptual framework of iWMS is modular and is based on secure Blockchain based Application Layer. The iWMS solution supports entire water management and recycling functioning cycle and can easily integrate with other services of Smart Cities. The evaluation of iWMS framework provided very encouraging results. It is revealed that iWMS meets the stated objectives of water savings through automated operation and also through controlled water recycling. Unlike other Smart Water Management Systems, iWMS also carefully complies the cybersecurity requirements. Based on evaluation, the advantages, and limitations of iWMS are also stated in this paper. Finally, I have also specified the future plans about iWMS to undertake its full-fledged implementation and addressing of its limitations. Design/Methodology/Approach: Primary Data collection through Interviews and Questionnaire responses from Industry Professionals, SMEs, and Researchers working on development, operation, and maintenance of Water Management Systems in Smart Cities and secondary data collected through detailed review of existing literature containing Journal Papers, Conference Papers, and Whitepapers available on Water Management Solutions for Smart Cities, are used to derive the new findings and results presented in this research paper. Findings/Result: Smart Water Management System not only efficiently handles water distribution across Smart Cities but also plays an active role in Water Recycling, Water Control and Monitoring, Estimation of the peak water requirements, and detection of water leakage if any. Smart Water Management System is an essential system in Smart Cities and is the backbone behind Smart Water Service of Smart Cities. Originality/Value: The Information presented in this paper is original and genuine and completely based on own data analysis and findings. It is derived from a systematic literature review of existing research papers and whitepapers on Smart Water Management System and interactions carried out with industry professionals, SMEs, and Researchers working on Water Management Solutions. Paper Type: Technology oriented Research


2016 ◽  
Vol 34 (6) ◽  
pp. 757-773 ◽  
Author(s):  
Akemi Takeoka Chatfield ◽  
Christopher G. Reddick

Environmental sustainability is a critical global issue that requires comprehensive intervention policies. Viewed as localized intervention policy implementations, smart cities leverage information infrastructures and distributed renewable energy smart micro-grids, smart meters, and home/building energy management systems to reduce city-wide carbon emissions. However, theory-driven smart city implementation research is critically lacking. This theory-building case study identifies antecedent conditions necessary for implementing smart cities. We integrated resource dependence, social embeddedness, and citizen-centric e-governance theories to develop a citizen-centric social governance framework. We apply the framework to a field-based case study of Japan’s Kitakyushu smart community project to examine the validity and utility of the framework’s antecedent conditions: resource-dependent leadership network, cross-sector collaboration based on social ties, and citizen-centric e-governance. We conclude that complex smart community implementation processes require shared vision of social innovation owned by diverse stakeholders with conflicting values and adaptive use of informal social governance mechanisms for effective smart city implementation.


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