Optimizing microgrids' renewable-energy-consumption rates can be done by energy demand-side management. Shifting consumption at better moments is possible thanks to storage capacities. To explore this context, we consider a new practice aiming at shifting laptops' consumption on workplaces thanks to their batteries. This practice requires providing usage instructions and forecasts on renewable energy availability. In order to do this, we evaluated the usability of a shape-changing cylindrical histogram, during a two-day public event, by asking 90 visitors. We also tested three kinds of motion speed in peripheral vision in order to notify neither disturbing nor irritating, by requiring 30 participants in lab conditions. Our results show success rates over 90% for range and compare tasks, which are necessary to retrieve renewable energy production peaks. Our results show that an exponential speed is the best to design perceptible movements, whereas being as calm as a constant speed.