Energy Strategy and Behavioral Economics

Behavior-01Our team works with customers to design energy management plans that lead to cultural changes in how energy is viewed and ultimately consumed.  We believe a successful conservation strategy should include driving cultural awareness across the organization to create and sustain change.  We take a pragmatic approach to modifying behavior, in order to create ongoing support for energy conservation.  Our approach is to assist organizations in energy conservation through a blend of awareness, incentives and embedded innovation to create positive change.

Through education and hands-on training, your teams are enabled to continuously track, measure and quantify the results of your energy reduction program to avoid “energy drift” and to help maintain cost reduction strategies.

Big Data Analytics

The ability to consume, store and analyze large amounts of water-related data will change future water management strategies. Communities will increasingly collect and analyze massive amounts of data to identify statistical patterns that suggest correlations and trends, forecast problematic events, and ultimately allow them to deploy resources for their best-use across the water infrastructure.

As we build smarter cities and become more connected through advanced metering, we have an opportunity to interact with assets in new ways. Across the city or across the world, advanced analytics is changing how we consume and conserve our natural resources

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We work with customers to analyze energy and water consumption patterns, evaluate cost implications, and advise on optimized energy use and process strategies.  If you’re already viewing real-time data and trying to get a handle on what it all means, no problem.  Connect to our platform and let’s figure out how to make your data work for you.

Process Optimization & Controls

Two common challenges typically exist when looking at energy and operational efficiency solutions: Obtaining real-time data cost effectively and deriving actionable insights from the data in order to drive energy efficiency. These challenges increase dramatically when organizations must balance energy consumption with regulatory and other primary demands.

For our clients, optimizing consumption requires real-time energy data on an individual load level basis in order to modify any operation effectively.  The goal is to baseline usage, evaluate processes, and adjust where possible to meet energy conservation goals.

The Digital Water platform is specifically designed for water-related customers seeking to manage treatment and meet compliance standards at the lowest delivered cost. Our operator “suggestion engine” takes real-time inputs including time-of-day, process conditions, current electric rates, flow rates and many others parameters to optimize energy-use.

Our platform can operate entirely outside a facility’s network, or integrate with SCADA systems to control devices with discretionary load. Controllable loads may include large process-related devices that are traditionally managed by SCADA systems, as well as lighting, HVAC and other building loads. As a cloud-based solution with easy-to-use drivers to add devices, users have the flexibility to modify process methods quickly and evaluate the impact.