What is energy management?

• Energy management can lead to lower energy costs, emissions and less exposure to price volatility.
• Core activities include measuring, monitoring, analyzing and optimizing energy use.
• AI, IoT and analytics make energy management more predictive and less reactive.
• Strong programs support ESG reporting and regulatory compliance.

Energy management is the process of monitoring, controlling and optimizing energy consumption to reduce costs, improve operational efficiency and lower emissions.

Energy management can include simple actions, such as reviewing utility bills and replacing older lighting with LEDs. It can also involve more extensive improvements, such as adding insulation, installing reflective roofing or upgrading HVAC systems to optimize energy performance. At the most advanced level, it includes financial modeling for renewable energy investments and long-term clean energy planning.

Modern energy management programs use technologies like artificial intelligence (AI) and advanced algorithms to continuously improve operational efficiency. For example, energy management software can forecast energy use and support budgeting, helping decision-makers align energy strategy with business and financial goals.

Energy management software uses the Internet of Things (IoT), connectivity and analytics to transform energy data into operational insights. The result is better visibility into energy consumption, performance and operational risk.

Organizations face growing pressure to control energy costs, reduce emissions and comply with evolving regulations. Energy management not only helps reduce greenhouse gas emissions, including carbon emissions that drive climate change, but also reduces reliance on increasingly scarce fossil fuels. Modern energy storage systems and renewable sources add flexibility to that shift.

The financial case is as strong, particularly for reducing recurring operating costs. According to the Environmental Protection Agency (EPA), energy use is the single largest operating expense for a US commercial office building. 

Energy can account for about a third of an enterprise’s typical operating budget and accounts for almost 20% of the nation’s annual greenhouse gas emissions. According to the US Department of Energy (DOE), commercial buildings waste about 30% of the energy they use.

Energy security is a growing concern, especially in regions where energy infrastructure is a target for cyberattacks. Organizations increasingly view energy resilience as part of operational sovereignty: maintaining control over the data, access and networks their operations depend on.

The benefits of energy management include cost control, operational resilience, a longer asset life, stronger sustainability performance and improved talent attraction:

• Cost control: Tracking the usage and energy efficiency improves budgeting and reduces exposure to price spikes. Competitive procurement can lower costs further.
• Operational resilience: Better visibility into energy use helps organizations anticipate demand, avoid waste and respond faster to disruptions.
• Longer asset life: Real-time monitoring flags inefficient or failing equipment early.
• Stronger sustainability performance: Lower consumption means lower emissions and clearer sustainability reporting for stakeholders.
• Better decision-making: Energy data helps facilities, operations, finance and sustainability teams prioritize upgrades, plan investments and measure results.

Having a strong environmental, social and governance (ESG) foundation helps companies save energy, increase transparency and work toward improved sustainability goals.

Energy management platforms built on a single system of record reduce the time and effort required for reporting, surface efficiency opportunities, and highlight environmental risks. They also support compliance monitoring as regulatory requirements and disclosure expectations grow.

Lowering a company’s carbon footprint can support cost savings, sustainability goals and stakeholder trust. Reducing emissions can strengthen corporate social responsibility efforts.

Working with sustainability experts can help organizations build more effective energy and ESG management. In addition to other benefits, consulting on efforts like decarbonization and the transition to renewables can help a business attract talent that prioritizes sustainable energy, renewable energy use and sustainability commitments.

Intelligent asset management can improve energy efficiency across industries. Examples include buildings and facilities, sustainable supply chains and manufacturing and IT and data infrastructure:

• Buildings and facilities: Managing energy across offices, factories and other sites reduces both the cost and the carbon output. Effective facilities management uses AI, IoT and analytics to monitor building performance, anticipate equipment failures, forecast power grid impacts and plan maintenance. These workflows increasingly rely on AI-driven facilities management. Intelligent energy asset management extends asset lifecycles, improves productivity and reduces emissions and climate risk.
• Sustainable supply chains: Using AI and blockchain, intelligent supply chain automation helps reduce the impact of current supply chain weaknesses on a business. A more resilient, sustainable supply chain helps organizations respond more quickly to disruptions. Scope 3 emissions are indirect emissions generated across the value chain, including warehousing, transportation and waste operations. Although Scope 3 emissions are outside a company’s direct control, measuring them helps identify emission problems in its supply chain and drive change. For many organizations, Scope 3 emissions make up the largest share of total emissions.
• Manufacturing: Manufacturing facilities are often among the largest energy consumers. An effective energy management program centralizes energy-efficiency data (from various meters, databases and multiple plant sites), identifies inefficiencies and prioritizes improvement projects. A more IT-enabled factory floor that uses the Industrial Internet of Things (IIoT) and analytics enables better predictive maintenance and quality, leading to smarter manufacturing. Improving energy performance in manufacturing often requires leadership commitment, infrastructure investment and workforce training.
• IT and data infrastructure: Data centers and digital workloads are a growing share of enterprise energy use. Green computing practices, such as efficient hardware, workload optimization and cleaner power sourcing, belong in any modern energy strategy.

Common energy management challenges include poor data quality, faulty systems, incorrect settings and limited upgrade planning.

Traditional building management systems and meters that collect data through manual energy audits don’t provide enough data to identify wasteful energy-use patterns. An energy management system makes it easier and more convenient to access and use more energy-consumption data.

Solution: A strong energy management system that automates data collection and generates customized reports and real-time dashboards.

Infrequent scheduled checks waste time and money. Unexpected breakdowns force you into reactive maintenance, which can create challenges and unexpected expenses. In contrast, intelligent energy systems alert you immediately to equipment breakdowns and energy waste. They provide real-time information on energy consumption, and you can set energy key performance indicators (KPIs) for consistent results.

Solution: Use a proactive maintenance strategy with real-time alerts, energy KPIs and preventive facility maintenance schedules.

In-depth energy data helps you make smart decisions about energy retrofits or upgrade initiatives that deliver cost savings and a strong return on investment (ROI).

Solution: In-depth energy data to prioritize upgrades and build the business case.

• What is an energy management system? An energy management system (EMS) combines sensors, meters and software to collect energy data, analyze it and help organizations reduce consumption and cost.
• What are the main steps in an energy management program? Measure baseline usage, set goals and KPIs, monitor consumption, analyze inefficiencies, implement improvements and review results continuously.
• How does energy management reduce costs? It cuts waste, improves budgeting and procurement and prevents costly equipment failures.
• How does AI improve energy management? AI forecasts detect anomalies and predict equipment failure, shifting teams from reactive to proactive operations.