부산대학교 도서관

Currently, there is a trend for companies to participate in Demand Response (DR) market, which requires them to reduce energy consumption during peak hours. Underground mining enterprises (UEM) are energy-intensive and for them participation in such programs is especially relevant. The main consumer of electricity at UEM is the ventilation system, mainly the main fan unit (MFU). The article presents the DR service architecture at UEM, in which the basis for reducing power consumption at a given time is the prediction of the required performance of the MFU. Decrease in MFU performance can be planned (for example, during lowering and lifting of workers along he ventilation shaft) and unplanned. The paper presents the architecture of the DR service and considers the case of a possible unscheduled decrease in the MFU capacity based on the results of modeling the air distribution between the shafts in the digital twin with a predicted change in the parameters of the outside air entering the UEM. In the case of enabling such reduction, the energy management platform will be able to reduce the power consumption at a given time.