Multivariate linear regression-based analysis of modularization of power consumption of Chengjiao Coal Preparation Plant

Targeted measures are taken at Chengjiao Coal Preparation Plant to reduce the power consumption by using modularized power supply system for analysis of distribution of electricity in production systems. The power consumption per ton of raw coal treated was seen to be drastically reduced from 4.49 kW·h in 2017 to 4.26 kW·h in January-May, 2018. Based on the data of overall power consumption for treating each ton of raw coal recorded in the whole year of 2017 and the actually recorded power consumption data of each production module, a prediction equation is derived using multivariate linear regression method. Residual error analysis and significance test of the equation indicate that a remarkable prediction result can be expected. The model can be applied for predicting the future power consumption of the overall production system for treating each ton of raw coal. The predicted result may serve as a reference for effecting energy conservation and reduction of power consumption throughout the overall plant in a more effective and targeted manner.