AnyLogic
225 Case Studies
A AnyLogic Case Study
The University of Southern Denmark used AnyLogic simulation software to study demand response for a Danish meat-processing industrial consumer facing rising uncertainty in the Nordic electricity market. The challenge was to find ways to shift cooling-room electricity use without compromising storage temperature limits, while responding to peak and off-peak power prices.
AnyLogic implemented simulation experiments to test direct market participation, compare market strategies, and assess operational flexibility. The results showed that adjusting cooling-room temperatures could generate electricity bill savings, with higher temperatures enabling greater bids and a clear saturation effect where further increases delivered diminishing returns. The model also highlighted three approaches—descriptive, consumer-centric, and modular—and demonstrated how the same framework could be adapted for multiple consumers and different markets.