TABLE OF CONTENTS


Introduction and Overview


This page explains the functionality of the recorded consumption in use algorithm, based on meter reading data.

For more information on importing readings, you can refer to these pages:

  • Site-by-Site Reading Entry
  • Bulk Import of Readings

This algorithm enables the industrialized aggregation of meter data from submeters linked to energy usages within the schematic, applicable to both single-site and multi-site scenarios.



Configuration of Meters in the Schematic


Meters must be configured within the energy system and linked to a specific usage (right column). You must ensure that the relevant meters are placed in the correct usage categories for each site.

Note that this algorithm is pre-calculated every night. If you assign your submeters to different usages, you will need to wait until the next day for the results to be available in the indicators.

Depending on the fluid and the unit of the meter, the properties "PCI Coefficient," "PCS Coefficient," "PTZ Coefficient," and "Conversion Coefficient" must be configured. If they are not configured, default values are applied, which can be viewed in the schematic.



Data Normalization


Water consumption is normalized in cubic meters (m³). Energy fluid consumption is normalized in kilowatt-hours (kWh), using the coefficients specified for each meter (or default values if not specified).



Linearization (Smoothing) of Consumption


The smoothing of consumption is carried out in two steps:

  1. Consumption is first calculated by the difference between two readings.
  2. It is then distributed between the two reading dates by dividing by the number of days separating them.

Thus, consumption is smoothed over a daily time step, which will be applied for aggregations by day, week, month, or year.


Example:

  • Water reading on September 1, 2020, with an index of 5100 m³.
  • Water reading on September 29, 2020, with an index of 5380 m³.
  • The consumption between the two readings is 280 m³ over 28 days: each day from September 2 to September 29 inclusive has a consumption of 10 m³ (280 divided by 28).

The widget below compares the restitution via linearized natural gas supply consumption (in green), raw consumption (in blue), and non-linearized supply consumption (in black).




Accounting for Temporal Variations (i.e., Historical Tracking) of Meter Properties (PCI, PCS coefficients)


When the PCS, PCI, PTZ, and/or conversion coefficients are historized, meaning their values change over time, the change is accounted for in readings starting after the coefficient's historization date.

For example, if the PTZ coefficient is set to 1 before January 1, 2020, and to 1.05 starting January 2, 2020, the change in the coefficient's value will be considered for all raw consumption readings recorded after January 2, 2020, inclusive.

Thus, a consumption in kWh for the period from December 20, 2019, to February 13, 2020, will use the PTZ coefficient of 1.05, whereas a consumption in kWh for the period from December 27, 2019, to January 1, 2020, will use the PTZ coefficient of 1.



Available Indicators


An indicator per usage is available. Note that custom usages created in the schematic do not generate indicators. Therefore, only the default usages can be utilized.

You can call them by typing @usage in "Calculated Indicators" --> "Other Indicators":




Data Aggregation Methodology


Depending on the display period, data will be calculated as follows :