This study investigates the adoption of predictive control methods in the Norwegian building industry, focusing on their current usage and the gap between academic research and industry practices. A survey of 59 companies, with a 54.2% response rate, revealed that 75% of participants use predictive control methods beyond outdoor temperature compensation, with 54% employing them regularly. Results show that the methods are predominantly applied to heating, cooling, and ventilation systems, with heating being the most common. While predictive control methods are widely adopted, advanced strategies like Model Predictive Control (MPC) remain underutilized. Only 9.3% of participants reported using MPC, and just 34.4% were familiar with it. This highlights a significant gap between academic advancements and industry implementation. Most predictive control methods integrate with existing infrastructures by adjusting PI/PID controller setpoints, reflecting a practical approach to innovation. The study concludes that while predictive control methods are gaining traction, significant potential remains untapped. Bridging the gap between research and practice requires targeted outreach, education, and practical demonstrations to accelerate the adoption of advanced control strategies, ultimately fostering sustainable and efficient building operations.

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Predictive Control in Buildings—A Commercializing View of the Norwegian Building Industry

  • Lars Øgar Rastad,
  • Arnab Chaudhuri,
  • Habtamu Bayera Madessa

摘要

This study investigates the adoption of predictive control methods in the Norwegian building industry, focusing on their current usage and the gap between academic research and industry practices. A survey of 59 companies, with a 54.2% response rate, revealed that 75% of participants use predictive control methods beyond outdoor temperature compensation, with 54% employing them regularly. Results show that the methods are predominantly applied to heating, cooling, and ventilation systems, with heating being the most common. While predictive control methods are widely adopted, advanced strategies like Model Predictive Control (MPC) remain underutilized. Only 9.3% of participants reported using MPC, and just 34.4% were familiar with it. This highlights a significant gap between academic advancements and industry implementation. Most predictive control methods integrate with existing infrastructures by adjusting PI/PID controller setpoints, reflecting a practical approach to innovation. The study concludes that while predictive control methods are gaining traction, significant potential remains untapped. Bridging the gap between research and practice requires targeted outreach, education, and practical demonstrations to accelerate the adoption of advanced control strategies, ultimately fostering sustainable and efficient building operations.