TABLE OF CONTENTS
- Introduction and Overview
- Configuration of Meters in the Schematic
- Available Indicators
- Data Normalization
- Linearization (Smoothing) of Consumption
- Accounting for Temporal Variations (i.e., Historical Tracking) of Meter Properties (PCI, PCS coefficients)
- Data Aggregation Methodology
Introduction and Overview
This page explains the functionality of the meter recorded consumption algorithm, which is based on collected data.
For more information on importing readings, you can refer to these pages:
- Site-by-Site Reading Entry
- Bulk Import of Readings
This algorithm allows for the retrieval of manually recorded data on a single site and the option to display raw, converted, linearized, or non-linearized data.
Configuration of Meters in the Schematic
This algorithm works for all real meters, whether they are general or non-general.
Depending on the fluid and unit of the meter, the properties "PCI Coefficient," "PCS Coefficient," "PTZ Coefficient," and "Conversion Coefficient" must be configured to convert data from the base unit to kWh. If they are not configured, default values are applied, which can be viewed in the schematic.
Available Indicators
Generally, this algorithm allows for retrieving data from a specific meter. Therefore, it can only be used on a single site.
By typing "@", you should then select the category "Recorded Consumptions."
For each meter, it is possible to retrieve data in the following ways:
- Raw : Data in its original unit, without linearization.
- Converted Non-Linearized : Data converted to kWh, without linearization.
- Converted Linearized : Data converted to kWh, and linearized.
Example with a gas meter below :
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:
- Consumption is first calculated by the difference between two readings.
- 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 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.
Data Aggregation Methodology
Depending on the display period, data will be calculated as follows :