Across refineries, petrochemical plants, and industrial operations, millions of dollars are invested every year in improving efficiency, reducing emissions, and optimizing energy consumption. Yet many organizations face a common challenge.

They know energy losses exist, but identifying exactly where those losses originate, which assets contribute the most, and where corrective action will drive the greatest return remains a constant struggle. The reality is that energy waste is rarely caused by a single major event. More often, it accumulates through hundreds of small inefficiencies spread across furnaces, steam systems, heat exchangers, process units, compressors, and operational practices. Individually, these gaps may appear insignificant. Collectively, they can represent a substantial financial and environmental burden.

At Infosys Consulting, we believe the future of energy optimization lies not in collecting more data, but in transforming existing operational data into actionable intelligence.

This is where Carbon and Energy Management Information Systems (CEMIS) and Top Energy Bad Actor (TEBA) concepts create value.

From Measuring Energy to Managing Energy

Most industrial facilities already capture enormous amounts of operational information. Sensors monitor temperatures, pressures, flows, fuel consumption, steam usage, and equipment performance every second of every day. The challenge is not a lack of visibility. The challenge is understanding which deviations actually matter and where intervention will produce the greatest business impact.

Traditional monitoring systems tell operators what is happening. Modern energy intelligence platforms help explain what should not be happening by continuously comparing actual operational performance against target performance, organizations can identify efficiency gaps that would otherwise remain hidden within day-to-day operations. These gaps can then be translated into business terms, revealing not only energy losses but also their associated cost and emissions impact.

Finding the Energy Bad Actors

One of the biggest obstacles to energy optimization is prioritization. Every facility contains hundreds of opportunities for improvement. Engineering teams cannot investigate everything simultaneously. The question becomes: where should attention be focused first? This is where the concept of Top Energy Bad Actors (TEBA) becomes powerful.

Rather than overwhelming teams with thousands of data points, TEBA highlights the assets, systems, or operating conditions responsible for the largest energy losses. By ranking performance gaps according to their business impact, operators gain a clear and objective view of where corrective action can deliver the most value.

The result is a shift from reactive analysis to focused improvement. Instead of searching for inefficiencies, teams can immediately concentrate on the highest-priority opportunities.

Turning Operational Data Into Financial Insight

At Infosys Consulting, we see energy optimization as a critical capability for organizations pursuing operational excellence and sustainable growth.

The next generation of industrial leaders will not differentiate themselves solely through production capacity or technological investments. They will differentiate themselves through their ability to identify hidden inefficiencies, act quickly on insights, and continuously improve performance. Because the most expensive energy loss is rarely the one you can see. It’s the one hidden in plain sight, quietly consuming value every day. And the organizations that find those losses first will be the ones that lead the future of industrial performance.

One of the most important aspects of energy management is translating technical performance into language the business understands. Engineers may focus on temperatures, flow rates, steam ratios, combustion efficiency, and process performance. Business leaders focus on cost, profitability, emissions, and return on investment. By connecting operational deviations directly to financial impact, organizations create a common language between operations and business stakeholders.

Ex : A furnace operating optimal efficiency is no longer just a technical issue. It becomes a measurable business opportunity. Excess steam consumption is no longer merely a process parameter. It becomes a quantifiable source of avoidable cost. This connection between operational performance and economic impact enables faster decisions, stronger accountability, and more effective improvement programs.

Energy Excellence in the Age of AI

The industrial sector is entering a new phase of digital transformation. Historically, organizations invested heavily in monitoring systems, historians, and dashboards to improve visibility. While visibility remains important, competitive advantage increasingly comes from knowing where to act and why.

Artificial intelligence, advanced analytics, and operational intelligence are making it possible to continuously evaluate performance, identify inefficiencies, prioritize opportunities, and support faster decision-making. Instead of reviewing historical reports after the fact, organizations can proactively identify emerging inefficiencies and address them before they grow into larger operational and financial challenges. This evolution moves energy management beyond reporting and into the real time continuous optimization.

The Sustainability Multiplier

The value extends beyond operational savings. Every unit of wasted energy carries both a financial cost and an environmental consequence. Reducing energy inefficiencies simultaneously lowers operating expenses while supporting emissions reduction goals and sustainability commitments.

Organizations no longer need to choose between profitability and environmental performance. The same actions often improve both. This makes energy intelligence one of the few areas where operational excellence, financial performance, and sustainability objectives naturally align.

Please feel free to reach out to Prasanta Mohanty- prasanta.mohanty@infosys.com to explore more on CEMIS & TEBA

Over 25+ years leading complex Digital AI based transformation and industry automation initiatives in energy, utilities, Telecom, Aerospace and industrial sectors globally. Proven ability to align technology with business strategy in digital supply chain and operational excellence. Expert in business engagement, AI, process harmonization, and digital enablement across assets, business, and IT