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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

Energy-Efficient Lighting Can Still Provide Opportunities for Energy Savings, DNV Study Finds

The study was undertaken in partnership with 11 organizations across the U.S. and Canada The study identified six separate “next generation” commercial lighting opportunities that are most likely to produce significant program savings or are gaining traction in the market. It graded these opportunities according to the potential size of the market, potential to deliver meaningful program savings, and ease of delivery. Three opportunities—higher efficacy LEDs, advanced lighting controls, and redesign LED-to-LED retrofit—are considered mass market opportunities and have the ability to fit into established energy management programs or have the ability to scale. The other three opportunities—demand management, germicidal UV, and tunable lighting—are niche market opportunities that apply to specific conditions and customers, and, while have the ability to provide energy savings, are not suited to broad adoption.  Energy-efficient lighting can still provide opportunities for energy savings, DNV study finds

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