Varkom D.D. (Varkom) brings water and wastewater utility services to 175,000 people across seven townships and 20 municipalities in Croatia. The organization wanted a feasibility study completed to help better manage its assets. Read the full case study to learn how the team estimated that 70 percent of time was saved directly in model preparation and an additional 70 percent of time was saved in model management and preliminary design.
The industrial world is awash with data and new information from sensors, applications, equipment, and people.
A wide range of issues can disrupt the normal functioning of an urban water system, such as storms and other natural disasters, pollution, physical damage, cyber incidents, aging and insufficient infrastructure, and rapid urban growth.
KUB's water system has experienced 30 percent to 35 percent non-revenue water over the past 10 years; hard-to-find underground leaks are the big culprit. Reducing leaks improves customer service, increases operational efficiency, reduces expenses for chemicals and power, and has other benefits.
Located just south of Montgomery, Alabama, the City of Troy is a unique mix of southern small-town charm and big-city amenities. Read the full case study to learn how the City leveraged Sensus’ Advanced Metering Infrastructure (AMI) solution to gather more data and monitor for issues likes leaks or pipe breaks
Prolagos, an AEGEA company, provides water and sanitation services for five municipalities in the state of Rio de Janeiro, Brazil. The concession covers the famed Lakes Region (Região dos Lagos), where seasonal populations fluctuate from nearly 400,000 to more than 2 million.
Traditionally, water system operators have relied on SCADA systems to provide insight into their networks.
When Park City Water in Utah needed a new system for supervisory control and data acquisition (SCADA) and human-machine interface (HMI), it picked the same solution chosen by its neighbor, Mountain Regional Water (MRW) District. Both MRW and Park City have seen significant improvements since switching from their previous SCADA systems to Ignition. MRW saves more than $400,000 per year on energy with greater control from Ignition. Park City saves the equivalent of one full-time employee by using Ignition to automate its reports to a state agency.
Water and wastewater networks are inherently geospatial, comprising interconnected assets that are often underground, buried beneath urban and rural communities.
This white paper addresses how hydraulic models can be used to instantiate energy savings by reducing energy waste, promote better efficiencies in operating a pumping system, and exploit flexible energy tariffs available in the market place.
Located on the Pacific Ring of Fire, the Philippines experience frequent earthquakes, volcanic eruptions, and typhoons that cause catastrophic losses. Manila Water Company, Inc., prepared a Natural Calamity Risk Resiliency and Mitigation Masterplan to ensure that there is a reliable water supply in the event of a natural disaster for the service area covering the East Zone of Metro Manila (the National Capital Region) and Rizal Province.
Water and wastewater leaders are unsung heroes. Clean, safe water is essential to human life and to the well-being of the environment, yet it is grossly underfunded. Limited resources lead to deferred maintenance and difficult decisions.
Water utilities face many challenges including aging infrastructure, constrained resources and revenue shortfalls. Most utilities use various technological resources to manage their assets and increase efficiency. Resources may include Advanced Metering Infrastructure (AMI), Geographic Information Systems (GIS), hydraulic models, asset management systems, network sensors, Supervisory Control and Data Acquisition (SCADA) systems and billing databases. Unfortunately, those resources are often managed in “silos.”
The Internet continues to transform the way business is done, industries are in transition, new markets are opening, and consumer habits are shifting. Even if your architecture is working well now, is it scalable enough to adapt to unpredictable changes?