Digital Water’s cloud-based, integrated platform helps customers understand energy usage, modify processes, and maximize savings. By collecting and analyzing large amounts of realtime water-related data, our system enables organizations to identify correlations and trends, forecast problems, and optimally deploy resources.
Digital Water’s solutions help minimize operating costs by addressing real world problems.
In the water sector, energy is often the highest operational expense for a utility. Treatment processes require enormous amounts of power, and facilities are under pressure to improve how they approach energy management. Digital Water’s solutions allow customers to optimize power usage through load aggregation, provide realtime visibility of electricity demand for sub-metered components, and empower operators to load-shed/shift/shape during high demand periods.
Faced with aging infrastructure and power-hungry equipment, utilities are actively searching for ways to improve efficiency. Incorporating predictive monitoring and maintenance techniques, Digital Water’s platform offers operators the ability to easily monitor and maintain assets, keeping them aware of conditions and providing data-based maintenance reminders.
Meeting treatment regulations while reducing energy consumption can be challenging. Digital Water’s solutions analyze water quality data and then determine, based on realtime energy tariffs, the least expensive times for treatment. By combining these critical data points in one integrated platform, the system enables operators to avoid spikes in energy demand and optimize energy usage without compromising water quality.
An estimated 18% of clean water never reaches its intended users. By integrating with existing data acquisition systems, a higher level of water security in the form of predictive analytics is possible. Customer applications curate data from a variety of sources in order to solve critical challenges — leak detection, physical/homeland security, infrastructure repair, and water quality monitoring. Digital Water uses real-time data to provide recommendations to users — actionable intelligence that can bridge the gap between our inherent need for clean water and the practical reality of working across an ever-failing national infrastructure.
Digital Water’s flexible platform was developed with the following industries in mind.
With pumps, motors, and other equipment operating 24/7, water utilities are often the largest consumers of energy in communities across the country. With demands to keep rates affordable, they must operate with less funding, fewer staff members, and lower energy consumption. Digital Water allows managers to quickly gather and analyze extensive realtime operating data by effectively monitoring and managing critical loads.
In the wastewater industry, large blowers, pumps, and mixers handling millions of gallons of water per day consume enormous amounts of energy. Though many facilities have not historically focused on energy efficiency, increasing rates are driving managers to seek access to actionable data. Digital Water provides solutions to improve efficiency, manage loads, and lower costs by fine-tuning operations.
For many utilities, historical priorities have focused more on delivery and less on cost. As electric utilities concentrate on sustainability and efficiency, the need to understand energy-use in the context of tariffs increases. Digital Water’s realtime reporting tools enable electric utilities to empower customers with information, creating energy awareness and greater satisfaction through price transparency.
Annually, the industrial sector consumes almost one-third of all the energy used in the U.S. Regardless of plant size, facilities must focus on energy procurement and energy management to remain competitive. While energy management systems have been applied in industrial and manufacturing settings for a number of years, the recent increased use of data analytics has changed how facilities interact with power markets as an input to the industrial process.