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Your building might not connect to hello energy via a BMS. Please check with your client.

Energy data can be collected in various ways. One of the methods is by way of a building management system (BMS). When all the smart meters are already connected to a BMS, we prefer to connect directly to the BMS. Important requirements to connect a BMS to hello energy are:

✔️The BMS should be able to save the data locally for at least three months, and at least36 months at an external (cloud) location.

✔️The connection between the BMSs and hello energy takes place in the external (cloud) database.

✔️A connection to a local PC is not accepted.

✔️Uptime and restoration: the supplier guarantees a minimal uptime of 99%. If a data supply is disrupted the supplier will inform hello energy immediately and ensure the connection is recovered in less than 48 hours. Data that could not be processed by hello energy due to the disruption will be made available/supplied as soon as possible.

✔️Data connection: data can be included in the hello energy platform in four ways:

✔️Push: the API of the BMS sends the data to the hello energy database via a URL defined by hello energy.

✔️Pull: the hello energy API retrieves the data from the database on a daily basis. This requires a secure login.

✔️(s)FTP server: if required, hello energy can make available a FTP server location

✔️Email: a daily email is sent including a .csv file (which fulfills the requirements mentioned above) to an email address provided by hello energy.

data (& connectivity)

For all BMS data the following requirements apply:

✔️All data supply is the responsibility of the supplier.

✔️Availability: the data must be available at the latest the next day at 06:00 (local time).

✔️Interval time: the data must be available at a fixed interval of 15 minutes.

✔️Time stamp: the data must be validated and provided with a time signature in UTC (00:00:00 (hh/mm/ss).

✔️Time signature: explanation whether the data relates to the period prior to or following the timestamp.

✔️Unit and factor: the data’s unit and factor should be clear

✔️Data type: it should be clear whether the provided data is a readout of the value at a certain point in time, or the value difference between two consequent timestamps.

✔️Data format: value with 3 decimals.

✔️Data validation: the data is checked for validity. The supplier will indicate how this will be realized.

✔️Data labeling: to make sure the data is recognized correctly, data need to be labelled using a unique ID, consisting of: client, city, building id, source, location, unit. (Example: Prologis Tilburg ✔️DC5 Electricity, hal A, kWh -> “TBDC5ELhalAkWh”)