In industrial operations, energy usage is everywhere. And we’re not just talking about electricity, gas, water, air and steam. From employee productivity to raw material usage, energy is one of the most critical and costly resources that touches every aspect of an industrial facility. While Energy Management Systems have been around for years, it’s more important than ever not just to manage energy, but to optimize energy.
From grid electrical power to gas and water, energy costs are among the top two costs for many industrial businesses.
Due to high costs and long upgrade cycles, it's very common for factories to have older, legacy equipment where data extraction is more difficult and time-consuming.
Pressure is mounting for industrial businesses to reduce emissions, improve energy efficiency, leverage renewable energy, and reduce their carbon footprint.
The first step into an energy-optimized future is to fully understand current energy usage – across lines and facilities. Traditional energy monitoring systems can provide part of the picture, but struggle to provide the breadth and depth of data needed to get a true understanding of all the energy being used in a business. What is needed is a system robust enough to gather data points from all your equipment – regardless of age and connectivity. This system must also normalize data types and sets to allow a consistent view across disparate facilities. Now you have a solid foundation for change.
Traditional Energy Management Systems can track building systems and weather performance. But without connecting those findings to production processes and data, no real-time adjustments or impacts can be made. Existing systems are built on passive data collection and reporting — long after any real-time changes can be made that would impact the bottom line.
To truly drive energy efficiencies, decisions need to be made immediately with real-time data. By using model predictive control systems that automate the optimization, industrial operations can respond to changes as they happen. Imagine being able to change an order when raw material prices rise, alter energy usage during rate spikes, or convert to lower-power usage during weather events.
“Without a benchmark like this [a carbon tax and dividend, for example], businesses and economies won’t be able to properly factor the cost of carbon and the benefit of alternatives into their long-term strategic planning and capital investment decisions.”
-Jamie Dimon, CEO of JPMorgan
From cold storage to biofuels, from automotive to retail, we’ve worked with a variety of industrial models and have seen first-hand the unique challenges they face. This experience has enabled us to build systems that can extract the essential data from myriad systems -– many of which were not designed to do so.
To deliver our energy intelligence solutions, we build a data foundation that enables insights and results, no matter what product or service you’re delivering. This means we can apply our knowledge and understanding to help you make impactful decisions to improve production costs, build efficiencies, and enhance your bottom line.