Analysis of Electrical Energy Consumption and Neural Network Estimation and Forecasting of Loads in a Paper Mill.

摘要

The present research was divided into two subareas: an examination of the factors affecting electrical energy consumption of the papermaking line and estimating and forecasting loads in the papermaking line. During recent years, events such as the deregulation of power markets and general energy-saving agreements have increased the need for more efficient electrical energy consumption, even at the process line level. For efficient and continuous savings and to develop more accurate forecasting concepts, information on the components of loads and their dynamics is a basic requirement. Previous load research has been mainly carried out at the power distribution and power station levels. The present project initiated a detailed study of loads in industrial processes, beginning with the papermaking environment. Factors affecting electrical energy consumption of the papermaking line were classified and studied in four papermaking lines of different age and product grade.