ADQUIO ANALYTICS · USE CASES
Milking, milk storage and ventilation follow different rhythms. Understanding them together gives energy use its operational context.
This article presents a use case with simulated data. The main image is a generated illustration; the screenshots show the Adquio Analytics interface.
The scenario: Solar Dairy Farm
The example represents a 2,800 m² dairy farm with 120 cows, 30 calves and eight workers. Two daily milking sessions, refrigerated storage and ventilation are combined with solar generation and batteries.
Analytics relates production phases to electrical demand and environmental conditions, without reducing milk production or animal welfare to a single energy indicator.
Questions this example helps answer
Visualisations become useful when they support a specific decision. This example helps explore the following questions:
What demand accompanies each milking session?
How is milk stored between collection cycles?
How do environmental conditions and ventilation change?
Technical reference for the example
These values define the reference scenario. They are simulation parameters, not a specification for a verified customer installation.
| Parameter | Model reference |
|---|---|
| Reference floor area | 2800 m² |
| Team | 8 people |
| Photovoltaics | 90 × 400 W modules = 36 kWp |
| Inverters | 3 × 15 kW |
| Nominal battery capacity | 100 kWh |
| Nominal storage voltage | 51.2 V |
| State-of-charge window | 20–90% |
| Storage efficiency | 96% in each direction |
| Simulator update interval | 60 seconds |
| Weather update interval | 60 minutes |
| Animals | 120 cows and 30 calves |
| Reference production | 29 l of milk per cow per day |
| Milking | 12 places · 11 kW equipment · 06:00 and 18:00 |
| Milk storage | 10,000 l tank · 4 °C setpoint · 6.5 kW refrigeration |
| Ventilation | 12 × 450 W fans |
| Water and feeding | 2.2 kW pump · 5 kW feeding equipment |
| Reference water demand | 90 l per cow per day |
The dashboards, explained
Each view answers a different question. Select a thumbnail to open a large image; use the viewer to move to the next dashboard or switch to full screen.
Energy overview
Explore demand, solar supply, grid import and storage across the simulated day.
How to read it. Use the production schedule to explain electrical demand.
Production and milking
Follow milk production rate, cows being milked and the modelled milk volumes.
How to read it. Compare equivalent milking sessions and distinguish productive variation from purely electrical changes.
Milk storage and animal environment
Compare milk and barn temperatures, barn humidity and the ammonia variable.
How to read it. The dashboard supports trend review; it does not certify animal health or replace veterinary oversight.
These views were prepared in an isolated Analytics instance by running the supplied simulator. No connections or writes to real equipment were made. They are not recorded historical data from an installation.
From example to your installation
The same approach can be adapted to the variables and equipment available in your project. Start with the decision to support, then choose the appropriate measurements, units, periods and visualisations.
DataSource collects and prepares the data, and Adquio Analytics presents it in dashboards. Review measurement coverage and keep the same boundary when comparing days, areas or equipment.
The screenshots illustrate analytical possibilities. They do not verify savings, operational results or automatic control of equipment in this example.
What do you need to understand about your installation?
Tell us what you want to measure, compare or present, and we will help define a useful view for your team.
