A parameterized model for tower crane energy consumption was developed based on theoretical formulation and field...

Area of Science:

• Construction Engineering
• Energy Management
• Mechanical Engineering

Background:

• Tower cranes (TC) are increasingly vital in construction.
• Reliable energy consumption models for TCs are crucial for effective construction management.
• Existing models may lack accuracy or simplicity.

Purpose of the Study:

• To develop a reliable and accurate semi-empirical model for tower crane energy consumption.
• To identify key engineering parameters influencing TC energy usage.
• To provide a foundation for more dependable research on TC energy consumption.

Main Methods:

• A semi-empirical model based on the division of the TC work cycle was proposed.
• Partial Least Squares Regression (PLSR) was used for coefficient fitting.
• Iterative deletion of variables with weak regression significance simplified the model.

Main Results:

• The optimized model, using only one independent variable, achieved a Mean Absolute Percentage Error of 25.55% and R² of 0.83.
• Comparative analysis confirmed the proposed model's superior accuracy and fitting degree.
• Key parameters like load mass, work cycles, and hoisting height were identified as significant energy influencers.

Conclusions:

• The stage-based calculation model and small sample fitting strategy are feasible and effective.
• The developed model offers a reliable foundation for TC energy consumption research.
• This approach provides new insights for optimizing energy models in other construction machinery.