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Energy Audits Need a Digital Upgrade

Traditional audits still have merit, but often they miss live inefficiencies. Artificial Intelligence tools reduce human error and generate immediate insights that could mean measurable savings. Automation is not new to manufacturing but the scope of the technology is leading to novel applications as industry leaders rethink energy management. Traditional audits still have merit, but often they miss the live inefficiencies that persist in production systems. Artificial Intelligence tools reduce human error and generate immediate insights that could result in measurable savings for those systems. Can AI Help Conduct an Energy Audit and Find Savings Opportunities? | Enterprise Data | American Machinist

The Role of Energy Audits in Enhancing Facility Performance by Ellie Gabel

According to the U.S. Department of Energy (DOE), approximately 30% of the money used to power buildings — around $400 billion annually — is wasted yearly. A professional-grade energy audit can help facility managers reduce electricity expenses without compromising comfort or safety. During a commercial energy audit, an auditor assesses how, where and why a facility consumes power. They aim to address inefficiencies and identify areas of opportunity, enabling a substantial energy consumption reduction. Whatever the audit’s results, management will receive a baseline on the property’s energy consumption, waste and reuse effectiveness rating. They can use this data to identify pain points, explore areas of opportunity, or prioritize equipment upgrades. Nearly 40% of a building’s energy usage can be attributed to lighting. Replacing outdated lighting fixtures with more energy efficient options can drastically reduce those costs. The Role Of Energy Audits In Enhancing Facility Performance

Why Use AI – 5 Reasons besides making us smarter:

  1. Efficiency and Automation: AI can automate repetitive tasks… saves time and reduces human effort
  2. Data Processing: AI excels at analyzing large datasets quickly… uncovers patterns and insights that humans might miss
  3. Scalability: AI systems can handle growing workloads… without a proportional increase in costs or resources
  4. Accuracy: AI can perform tasks with high precision… reducing errors in areas like diagnostics or forecasting
  5. 24/7 Availability: AI tools can operate continuously… improving productivity and customer support