Online Resources - Digital Water
Simon Jagers
Founder @ Samotics, the undisputed global leader in electrical signature analysis | AI-driven Asset Optimization
I am currently researching a paper about the UK water utility sector, which I intend to publish when inspiration strikes. During my research, I've gathered online resources that are valuable in their own right, and I've compiled them into a list for reference.
This first few paragraphs are a summary of the work so far, and provides a perspective on the current state of water technologies and their impact on the water utility sector. Although my focus is on the UK, many of these insights are relevant for water utilities in other geographies too.
This text, containing the summary and associated links is rather long, and does not have images. I hope you'll find it useful regardless. If you have links to share, please send me a note or comment! I'll add them to the text.
Let's start with some context, before diving into the online resources:
Current Challenges in the UK Water Utility Sector
The UK's water utility sector faces four main challenges: outdated infrastructure with limited budgets, environmental pressures needing sustainable actions, workforce issues, and technological obstacles.
Aging Infrastructure and Budget Constraints
Much of the UK's water infrastructure is over a century old, with some parts dating back 200 years. Upgrading these old systems is expensive and complicated. Many utilities lack complete information about their own pipelines and sewage networks, making planning difficult. Budget limitations make it hard to maintain regulatory standards and meet customer needs. Smaller utilities are especially affected, with many needing significant investment to keep service levels steady. The combined effect leads to:
Environmental Pressures and Sustainability Initiatives
Climate change, water scarcity, and pollution are putting extra strain on the sector. Climate change leads to more floods and droughts, reducing water supply by an estimated 7% by 2045. Drought risks are expected to double by 2050, and pollution incidents are on the rise. In response, water companies are:
Workforce Challenges
The sector is dealing with an aging workforce and a lack of skilled workers. Over 20% of skilled workers are set to retire in the next decade, creating a significant skills gap. Many employees are considering moving to other industries, and there's been a notable decline in workforce numbers. There's also a need for skills in data analytics, AI, and digital development. With only 8% of the workforce under 24, attracting young and diverse talent is a challenge.
Technological Hurdles
Adapting to new technologies is difficult due to inadequate digital infrastructure and a lack of expertise. Many leaders see this gap as a major cost pressure. Only a small percentage feel they use data effectively. Monitoring capabilities are lacking, making it hard to track water demands. Integrating new technologies with old systems is challenging, and there's a shortage of skills to manage these technologies. Smaller utilities struggle more, leading to a digital divide within the sector.
Looks like you've made it through. Links to online resources, categorized with the help of AI:
Emerging Trends and Technologies Shaping the Future
New technologies like IoT, smart sensors, advanced data analytics, AI, and digital twins are transforming the sector. IoT and smart sensors enable real-time monitoring, improving efficiency and reducing costs. Advanced analytics and AI help optimize maintenance and asset management. Digital twins allow for better planning and resource use. Enhanced customer engagement through personalized communication and digital tools is changing how utilities interact with customers. Together, these technologies promise a more efficient, sustainable, and customer-focused future.
IoT Integration and Smart Sensors for Real-Time Monitoring
IoT and smart sensors offer solutions to many sector challenges. They allow real-time monitoring of water systems, improving efficiency and service quality. Smart sensors track water quality, pressure, flow rates, and leaks. Data is transmitted wirelessly, processed in cloud platforms, and presented to managers through dashboards. Applications include:
Ensuring safe drinking water through quality monitoring.
U.S. Environmental Protection Agency (EPA) - Online Water Quality Monitoring Resources: https://www.epa.gov/waterresilience/online-water-quality-monitoring-resources
Provides guidance documents and resources on designing and implementing online water quality monitoring systems for source waters and distribution systems
World Health Organization (WHO) - Guidelines for Drinking-water Quality: https://www.who.int/publications/i/item/9789241549950
The WHO guidelines provide a comprehensive framework for ensuring drinking water safety, including water quality monitoring approaches
European Commission - Drinking Water Directive: https://environment.ec.europa.eu/topics/water/drinking-water_en
This page outlines the EU's revised Drinking Water Directive, which includes reinforced water quality standards and measures for monitoring emerging pollutants
WHO/UNICEF Joint Monitoring Programme (JMP) - Water Quality Monitoring: https://washdata.org/monitoring/drinking-water/water-quality-monitoring
The JMP provides information on integrating water quality testing into household surveys and tools for water quality monitoring
DusunIoT - IoT-based Water Quality Monitoring: https://www.dusuniot.com/blog/iot-based-water-quality-monitoring/
This article discusses how IoT technologies can be used for real-time water quality monitoring, including sensors and communication systems
Detecting leaks early using acoustic sensors and flow meters.
TechKnowServ - Acoustic Leak Detection: https://www.techknowserv.com/post/how-acoustic-leak-detection-is-revolutionizing-leak-detection-and-mitigation
The article explains how acoustic leak detection technology works, including its ability to detect leaks at early stages using sound waves or acoustic signals generated by fluid leaks
Fluid Handling Pro - Leak Detection Using Clamp-on Flowmeters: https://fluidhandlingpro.com/leak-detection-on-water-distribution-network-using-clamp-on-flowmeters/
This blog discusses how ultrasonic flow meters can be used in conjunction with acoustic leak detection methods to identify and locate leaks in water distribution networks
Managing pressure to extend pipe life.
Journal of Water Resources Planning and Management - "Pressure Management for Leakage Reduction in Water Distribution Systems": https://ascelibrary.org/doi/10.1061/%28ASCE%29WR.1943-5452.0000887
This paper discusses how pressure management can reduce leakage and extend infrastructure life.
Water Research - "Pressure management in water distribution systems: Current status, future trends, and research needs": https://www.sciencedirect.com/science/article/pii/S0043135419310498
A review of pressure management techniques and impacts on pipe life and system performance.
Journal of Water Supply: Research and Technology - "Pressure management for reducing pipe break frequency": https://iwaponline.com/aqua/article/68/6/415/66899/Pressure-management-for-reducing-pipe-break
Examines how pressure management can reduce pipe breaks and extend asset life.
Water - "Pressure Management in Water Distribution Systems for Leakage Reduction: State-of-the-Art and Perspectives": https://www.mdpi.com/2073-4441/11/7/1456
An open access scientific review of pressure management approaches and their benefits for infrastructure longevity.
American Water Works Association - "Pressure Management for Distribution Systems": https://www.awwa.org/Portals/0/AWWA/ETS/Resources/PressureManagementForDistributionSystems.pdf
AWWA provides guidance on implementing pressure management to extend asset life.
Water Research - "Pressure management in water distribution systems: A review of methods and case studies": https://www.sciencedirect.com/science/article/abs/pii/S0043135421006011
A scientific review of pressure management case studies and their impacts on system performance and pipe life.
Predictive maintenance to reduce costs and downtime.
Samotics - SAM4 Health: https://samotics.com/products/sam4-health
Provides information on Samotics' SAM4 Health system, our AI-powered, real-time pump monitoring system designed to increase resilience and energy efficiency of critical assets.
Efficient Plant - Water Benefits From Predictive Maintenance: https://www.efficientplantmag.com/2024/08/water-benefits-from-predictive-maintenance/
From our friends at 阿西布朗勃法瑞公司(ABB) , Krishna Prashanth discusses how predictive maintenance is cutting maintenance costs and improving reliability in water-treatment facilities.
MaintWiz - The Importance of Predictive Maintenance: https://www.maintwiz.com/importance-of-predictive-maintenance/
An extensive overview of the benefits of predictive maintenance. Kicking in some open doors, but valuable nonetheless.
Challenges like data security and initial costs exist, but as technology evolves, these solutions are becoming standard practice.
Advanced Data Analytics and AI
Advanced analytics and AI are changing how water systems are managed. They process data from various sources to predict issues and optimize operations. Predictive maintenance uses this data to anticipate equipment failures, allowing for timely repairs and cost savings. AI optimizes maintenance schedules based on asset importance and resources. Digital twins, virtual models of physical systems, help simulate operations for better efficiency and reduced energy use. These technologies lead to better asset management, improved water quality, and help utilities meet regulatory requirements.
McKinsey & Company - "How to use analytics to improve water asset management": https://www.mckinsey.com/industries/electric-power-and-natural-gas/our-insights/the-power-and-gas-blog/how-to-use-analytics-to-improve-water-asset-management
This article provides a comprehensive overview of how water utilities can leverage advanced analytics to enable predictive maintenance and significantly reduce costs
Bain & Company - "Digital Transformation for Utilities: More Powerful Than Electricity": https://www.bain.com/insights/digital-transformation-for-utilities-more-powerful-than-electricity/
Bain & Company addresses digital transformation in utilities, including water utilities. It provides insights into how AI and advanced analytics can be applied to improve operations and customer service in the utility sector.
Harvard Business Review - "AI Can Help Address Inequity in Water Access": https://hbr.org/2022/03/ai-can-help-address-inequity-in-water-access
This HBR text explores how AI can be used to address water access inequities, a critical issue in the water sector. It discusses innovative applications of AI in water management and distribution, highlighting the potential of these technologies to solve complex challenges in the industry.
Enhanced Customer Engagement and Public Perception
Utilities are focusing more on engaging with customers and improving public perception. Personalized communication, using customer data, delivers tailored messages. Multi-channel approaches like apps, emails, and social media improve interactions. Transparent communication about service issues helps manage expectations. Self-service options empower customers to manage accounts and access information easily. AI chatbots provide instant responses, reducing the load on customer service. By building trust and promoting conservation, utilities foster positive community relationships.
Water Online - "Customer Engagement In The Water Industry": https://www.wateronline.com/doc/customer-engagement-in-the-water-industry-0001
This article discusses the importance of customer engagement in the water industry and provides strategies for improving communication and service.
American Water Works Association (AWWA) - "Customer Communications": https://www.awwa.org/Resources-Tools/Resource-Topics/Customer-Communications
AWWA provides resources and best practices for water utilities to effectively communicate with their customers.
Smart Energy International - "How utilities are improving customer engagement": https://www.smart-energy.com/industry-sectors/smart-energy/how-utilities-are-improving-customer-engagement/
While not exclusively focused on water utilities, this article discusses various strategies utilities are using to enhance customer engagement, including personalized communication and multi-channel approaches.
Water Finance & Management - "The Future of Customer Service for Water Utilities": https://waterfm.com/the-future-of-customer-service-for-water-utilities/
Explores how water utilities are leveraging technology, including AI chatbots, to improve customer service and engagement.
Utility Analytics Institute - "Customer Experience Analytics in the Water Industry": https://utilityanalytics.com/2021/07/customer-experience-analytics-in-the-water-industry/
This article discusses how water utilities can use data analytics to enhance customer experience and improve public perception.
The Water Utility of the Future
The sector is moving towards significant transformation, leveraging technology to overcome challenges like aging infrastructure and climate change. The future utility will focus on advanced automation, real-time analytics, and achieving financial and environmental benefits.
Advanced Automation and Predictive Maintenance
By 2035, utilities will rely on automation and predictive maintenance to optimize operations. This shift can lead to significant cost savings compared to traditional maintenance methods. Key aspects include:
IoT and Smart Sensors: Extensive use of sensors for real-time data on water systems.
Northumbrian Water IoT Project:
BT is installing around 150 sensors across Northumbrian Water's network in Sunderland to gather real-time data on water flow, pressure, and quality. The data is transmitted via a Low-Power, Long-Range, Wide Area Network (LoRaWAN) and processed by BT to provide operational insights.
Taggle Systems in Australia:
Taggle has deployed over 270,000 meters and sensors across Australia, reading over 2 billion data points annually. These sensors provide real-time data on water flow for metering, water levels for floodplains and wastewater, water pressure for network management, and rainfall. The system delivers more than 5 million readings to councils and water utilities daily.
Berlin Tap Water Quality Monitoring:
Berlin has implemented an IoT-based system to monitor tap water quality in real-time. Sensors placed throughout the city's water supply system measure indicators such as chlorine concentration, pH, thermal conductivity, and turbidity. This data is transmitted to a central control room in real-time, allowing for immediate detection of any issues.
Lake Garda Water Quality Protection:
Italy's largest lake, Lake Garda, is protected by an IoT-based monitoring system. A network of water sensors monitors characteristics such as pH, dissolved oxygen, temperature, and nutrients. This data is used to identify pollution sources and protect the lake's ecosystem.
AI-Driven Predictive Maintenance: Using machine learning to predict equipment issues before they happen.
Yorkshire Water Case Study:
Yorkshire Water, serving 5.4 million people, millions of visitors, and about 140,000 businesses in Yorkshire, has partnered with Samotics to optimize its maintenance operations and improve efficiency.
Anglian Water Case Study:
Samotics' SAM4 system was implemented at Anglian Water to monitor various assets, including borehole pumps, inlet screws, and aeration rotors across more than 25 sites. The system detected early signs of mechanical unbalance in an aeration rotor, allowing Anglian Water to plan maintenance at an optimal time. This predictive approach helped prevent catastrophic failures, reduce unplanned downtime, and lower maintenance costs.
Oman Sur Desalination Plant:
Veolia collaborated with Amazon Web Services (AWS) to develop a predictive maintenance solution for water filtering membranes at the Oman Sur desalination plant. The system uses machine learning algorithms to analyze historical data and predict future behavior of fouling indicators, allowing operators to anticipate maintenance operations days or weeks in advance.
Thames Water - Acoustic Sensors for Leak Detection:
Thames Water in London uses AI-powered acoustic sensors to analyze sound patterns and detect leaks quickly[4]. This predictive approach allows for faster response times and more efficient maintenance of the water distribution network.
领英推荐
UK Water Utility - Hydraulic Network Risk Tool (HNRT):
Sand Technologies implemented the HNRT platform for one of the UK's largest private water utilities[6]. This AI-powered system monitors sensors across the network, presenting data as a consolidated visualization with built-in automated alerts. This approach enables proactive maintenance and has resulted in saving 3.4 ML/day in leakage, translating to annual savings of more than £1.3M[6].
Automated Maintenance Planning: Scheduling repairs automatically based on equipment condition.
Performance Optimization: Improving asset performance and energy efficiency through analytics.
Vitens improves pump energy efficiency together with Samotics:
Vitens, the largest drinking water company in the Netherlands, has successfully realized energy savings on its critical pumps using SAM4 Energy.
Real-Time Analytics and Data-Driven Decision-Making
McKinsey & Company discusses the potential of digital platforms and analytics for utilities, including:
They emphasize the need for a cohesive digital strategy and platform to achieve step-change performance improvements.
Stanford's Water Data Infrastructure report highlights the importance of:
Harvard Business Review (sponsored content) discusses how the water industry has embraced data and digital technologies:
Boston Consulting Group (BCG) describes an AI-based approach for managing transformations that:
Bain & Company highlights the use of digital capabilities in supply chains, including:
Financial and Environmental Benefits
Adopting these technologies leads to:
Energy Efficiency & Cost Savings
Optimizing operations through real-time data and analytics can significantly reduce energy consumption in water utilities. ABB, as part of the Energy Efficiency Movement, offers solutions that can lead to substantial energy savings:
McKinsey reports that AI-powered scheduling can lead to 25-30% field productivity improvements, while machine learning insights in asset health can result in up to 80% capital reallocation
Water Loss Reduction
Real-time monitoring and analytics enable early leak detection and efficient water management:
Smart metering trials, like Yarra Valley Water's in Melbourne, provide near real-time consumption data, allowing for quick identification of leaks and abnormal usage patterns
AQUADVANCED? Energy by SUEZ helps utilities auto-manage network assets, including pumps, leading to reduced water losses and more efficient operations
Improved Water Quality
Continuous monitoring ensures water safety and reduces treatment costs:
Customer Engagement
Providing usage insights promotes conservation and reduces demand:
Citations:
Roadmap for the Water Utility of the Future
To achieve this transformation, utilities need a strategic plan focusing on technology implementation, workforce development, and regulatory compliance.
Establishing a Digital Transformation Roadmap
Gradual Implementation of IoT, AI, and Digital Twins
Workforce Development and Cultural Change
Regulatory Compliance and Environmental Policies
Overcoming Adoption Barriers
Utilities face obstacles like high costs, integration issues, cybersecurity concerns, resistance to change, and data management challenges.
High Initial Investment Costs
Integration Complexities with Legacy Systems
https://iwaponline.com/wpt/article/18/7/1599/95563/Digital-transformation-for-the-water-industry-how
Cybersecurity Concerns
Data Management and Standardization Challenges
https://iwaponline.com/wpt/article/18/7/1599/95563/Digital-transformation-for-the-water-industry-how
Global Sustainability Solutions at Visa
3 周Think you might enjoy this Simon... https://www.sbs.ox.ac.uk/sites/default/files/2021-04/welsh-water-case-study.pdf What happens when you get the customers more involved? less water usage? less 'stuff' down the drain?
Head of Sales - Dora Solutions
3 周Michelle Loozen
Helping companies prevent machine failure, energy waste and carbon emissions through AI solutions
4 周Interesting download Simon Jagers! You may also find this article 'Towards a resilient and sustainable future for the UK Water industry" an worthwhile read / ChatGPT summary. It brings together some of the challenges and solutions for both environmental issues, as well as net zero ambitions: https://royalsociety.org/-/media/about-us/industry/tof-conference-reports/des8588_6_water-tof_conference-report_final.pdf