Zhang Fan, Zhang Chunli, Fu Yan, Liu Jun, Bu Jiarui, Duan Peng, Chen Si
School of Management Science and Real Estate, Chongqing University, Chongqing, 400045, China.
Center for Construction Economics and Management, Chongqing University, Chongqing, 400045, China.
Sci Rep. 2025 Mar 26;15(1):10453. doi: 10.1038/s41598-025-94875-5.
As tower cranes (TC) getting more use in the construction process, a reliable TC energy consumption calculation model is increasingly required for construction management. This paper proposed a semi-empirical model, which is based on the division of TC work cycle. For fitting the coefficients, Partial Least Squares Regression (PLSR) was adopted. To simplify the model, variables with weak regression significance to energy consumption were deleted in turn. The best suitable version achieves a Mean Absolute Percentage Error of 25.55%, a Root Mean Square Error (RMSE) of 1036.19 kJ, and a Coefficient of Determination (R) of 0.83, with just one independent variable. A comparative analysis showed the proposed model had the highest accuracy and fitting degree among all the models for TC energy consumption calculation. Through physical transformation of the proposed model, several key engineering parameters (i.e., load mass, number of work cycles, and hoisting height) affecting TC energy consumption were extracted. The innovation of this empirical study lies in confirming the feasibility of the stage-based calculation model and the small sample fitting strategy, providing new ideas of constructing and optimizing energy consumption models for other construction machinery. At the same time, the proposed model lays a foundation for research related to TC energy consumption to be more reliable.
随着塔式起重机（TC）在施工过程中的使用越来越多，施工管理越来越需要一个可靠的塔式起重机能耗计算模型。本文提出了一种基于塔式起重机工作循环划分的半经验模型。为了拟合系数，采用了偏最小二乘回归（PLSR）。为了简化模型，依次删除了对能耗回归意义较弱的变量。最合适的版本在只有一个自变量的情况下，平均绝对百分比误差为25.55%，均方根误差（RMSE）为1036.19千焦，决定系数（R）为0.83。对比分析表明，所提出的模型在所有塔式起重机能耗计算模型中具有最高的精度和拟合度。通过对所提出模型进行物理变换，提取了影响塔式起重机能耗的几个关键工程参数（即负载质量、工作循环次数和起升高度）。这项实证研究的创新之处在于证实了基于阶段的计算模型和小样本拟合策略的可行性，为其他建筑机械的能耗模型构建和优化提供了新思路。同时，所提出的模型为使塔式起重机能耗相关研究更加可靠奠定了基础。
