Netpooling

 

The peak power relevant for billing results from the simultaneous power of all pooled power values in contrast to the withdrawal at each individual withdrawal point.

 

This leads to a reduction in the peak demand to be used for billing, since this peak demand is generally lower than the sum of the individual peak demands per withdrawal point. Pooling thus reduces the costs of the annual demand charge to be paid.

 

According to § 2 No. 11 StromNEV, the definition of a network node exists if the spatially narrowly defined part of an electricity supply network, which is located in a structurally coherent area and consists of:

  • a transformer station, a substation, a local substation or a switching station or
  • another transfer point in the case of a galvanic connection similar to the cases mentioned in letter a), to which one or more tapping points are connected.

Our services for you

Together with our partners we provide an analysis & evaluation of your network usage at all locations and take care of all procedures towards the network operator and BNETZA.

 

In combination with our smart metering, you also have access to your energy data at any time and can also compare how your network load behaves inside and outside the high load window.

  1. Analysis and comparison of current grid usage costs

  2. Installation of acteno smart metering nationwide

  3. Coordination and communication for the conversion of the billing at the respective network operators

  4. Reporting system to control the energy billing

  5. Billing control together with partners

For whom ?

Customers who are currently measured and billed individually according to SLP can be combined into a virtual metering point as rLM measurement and rLM billing via pooling. The prerequisite is that the individual measurements are now carried out as rLM.

 

Customers who have two or more metering points.

In this case, the aggregated maximum load is lower than or equal to the sum of the individual maximum loads.

  • Commercial
  • Industry
  • Agriculture
  • Retail
  • Gastronomy