Empirical and Comparative Validation for a Building Energy Model Calibration Methodology

Area of Science:

• Building Science
• Energy Modeling
• Digital Twin Technology

Background:

• Industry 4.0 and digital twin technology are increasingly integrated into the building sector.
• Urgent need for energy reduction and decarbonization in buildings necessitates accurate predictive models.
• Building energy modeling is a well-established but evolving field.

Purpose of the Study:

• To propose a novel, simplified, and cost-effective calibration methodology for building energy models.
• To reduce the complexity and cost associated with building energy model calibration.

Main Methods:

• Developed a calibration methodology focusing on simplicity with only four adjustable parameters.
• Minimized sensor requirements by 47.5% compared to traditional methods.
• Validated the methodology empirically and comparatively using data from IEA Annex 58.

Main Results:

• The novel methodology demonstrated effectiveness in calibrating building energy models.
• Achieved significant cost savings through reduced sensor deployment.
• The simplified approach maintains accuracy while enhancing usability.

Conclusions:

• The proposed calibration methodology offers a practical solution for energy efficiency and decarbonization in buildings.
• This approach enhances the adoption of digital twin technology in the building sector.
• Validated results confirm the methodology's reliability and cost-effectiveness.