Use Case: Demand load and reactive excess dashboards

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In this article, you are going to learn how to use the dashboards to analyse your demand load and also to deep into the consumption excess of reactive energy.

The topics to be covered are:

 

First look of the dashboard

The dashboard created looks like this:

demandload-reactivexcess-dashboard-1.png

As you see, this dashboard contains data for the last 7 days as an example, but it can be reproduced as well using other periods as you wish.

 

Usability and configuration 

This dashboard aims to give you information on the demand load you are using and to compare it with the contracted load, and also allows you to closely monitor the consumption of reactive energy and its excess in terms of cost.

The two main widgets are:

  1. Raw analysis - By parameter widget which uses the Line graph:
    • In this widget, it is important to monitor the PHI cosinus which needs to be imported beforehand in the platform (using the parameter 411).
    • A line checkpoint will be defined at 0,95 which is the value where we start to have reactive excess cost in Spain when we lower it. This checkpoint can be configured at the value you wish to adapt to your reactive excess cost structures.
  2. Demand load widget with the consumption device crossed with the supply and contract applicable.

To complement these two main widgets, we propose 3 other widgets that will allow you to have a wider idea of your consumption and its evolution:

  1. The first one in the upper left corner is a bar graph widget type which uses the source of data "Raw Analysis - By Parameter". It contains data of the Active Energy consumption over the last 7 days compared to the 7 previous days.
  2. The second widget in the upper right corner is a heat map widget, which also shows the Active Energy consumption per hour during the last 7 days in a colourful heat map.
  3. The last widget proposed is a table widget right below the heat map one, which complements those two widgets showing interesting values of the active energy consumption during those last 7 days: total consumption, average/maximum/minimum consumption depending on the frequency selected and also the data availability of that device during that period.

Bear in mind that this use case is fully customizable by you, and you can add or change as many widgets as you wish.

Once you have your dashboards configured, you can share them with everybody you want! 🚀

 

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