Proper electricity consumption analysis requires monitoring of all individual circuits, which most modern electricity meters don’t provide. They give you information about electricity consumption with great time resolution but cannot tell you how much and when each circuit connected is consuming electricity.
Electricity consumption analysis increases your understanding of what assets and processes are using the most electricity. It also increases the understanding of when assets are consuming electricity. For instance, events such as starting a production line, or turning on heating or lighting in a building, increases electricity consumption significantly for a shorter period.
Find the perfect sensor solution
Neuron Ampere sensors are installed on the circuits where a more detailed understanding of electricity consumption is needed. Installation is simple, with a clamp-on that goes over one lead of the circuit, that can be installed without rearranging any of the existing circuits.
The Neuron Ampere sensors will monitor current consumption continuously and store all measurements in the cloud. The collected data can be viewed for electricity consumption analysis in either the Neuron App, or any other software desired by using one of the open APIs available from the Neuron Cloud.
By understanding what assets and processes use most electricity, and if there are special circumstances where these consume more electricity than normal, a plan to use electricity more efficiently can be made.
Many price tariffs are punishing high peaks of current consumption. An industrial company can have high peak currents in the morning because all production lines are starting up, lights are turned on, and heating or cooling systems are starting. These can be avoided by following a sequenced power-on plan every morning
What you get
- Continuous measurement of current consumption per circuit
- Easy mounting with clamp on lead
- Detailed current measurements up to one year available in Neuron Cloud
- Alerts to operators if current is at higher level than expected. Alerts can be provided on e-mail, SMS or push warnings on mobile phones.