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Energy Management

Energy Data Analytics

Energy Management utilizes advanced data analytics to deploy artificial intelligence and machine learning to optimize campus energy consumption and sustainability, enhancing efficiency and reducing risks.

Purpose

Energy Management leverages data analytics to navigate the increasing complexity of building operations, particularly in specialized facilities like laboratories. As the campus transitions to smarter energy systems, the integration of advanced controls and automation becomes essential.

This approach enhances operational efficiency, reduces risks and supports campus-wide energy goals. By modernizing systems and utilizing real-time data, Energy Management ensures buildings operate at peak performance while contributing to sustainability efforts. This strategy improves energy use and also serves as a valuable resource for academic research, and development, enabling campus buildings to act as testbeds for emerging technologies in artificial intelligence.

Energy Data Analytics Services

  • Risk Management: Identifying energy and sustainability goals through digital tools.
  • Emerging Technology: Upgrading building systems to modern standards, such as Direct Digital Control (DDC).
  • Research: Collecting and analyzing energy data related to energy production, consumption, distribution and building-level usage patterns to inform future efficiency decisions.
  • Resource Conservation: Using advanced technology to prioritize modifications in aging buildings, ensuring efficient resource use while maintaining high service levels, even with limited resources.
  • Energy and Sustainability: Supporting environmentally friendly, high-performance buildings with advanced data analytics.

Requesting Service

Campus partners can collaborate with Energy Management to achieve campus energy-saving goals. For more information, please contact save_energy@ncsu.edu for a review.