ADQUIO ANALYTICS · USE CASES
An office with a workshop and a research lab does not stop using energy at the end of the working day. Servers, test benches and technical loads need their own 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 Office
The scenario combines engineering, administration, a workshop and R&D across 760 m². A team of 39 shares the building with servers, CAD workstations, welding equipment and test benches that maintain part of their demand around the clock.
Comparing occupancy, energy and indoor air quality helps separate permanent loads from work-related demand, while revealing the behaviour of the three phases and battery banks.
Questions this example helps answer
Visualisations become useful when they support a specific decision. This example helps explore the following questions:
Which loads remain outside working hours?
Do peaks coincide with workshop activity, R&D or HVAC?
How do carbon dioxide and temperature change with occupancy?
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 | 760 m² |
| Team | 20 engineers · 10 administration · 6 workshop · 3 R&D: 39 people |
| Photovoltaics | 30 × 400 W modules · 12 kWp |
| Inverters | 3 × 6 kW, one per phase |
| Storage configuration | 3 banks; 64 cells of 3.2 V / 380 Ah per bank; 16S4P |
| Each bank | 51.2 V / 1,520 Ah · 77.824 kWh nominal |
| Total storage | 233.472 kWh nominal · 163.4304 kWh within the 20–90% SOC window |
| Storage efficiency | 96% in each direction in the model |
| IT infrastructure | 10 servers and 10 switches · continuous operation |
| Workshop | 2 × 8 kW welders · 2.2 kW compressor |
| R&D | Continuous 2.6 kW base and up to 1.4 kW extra during working hours |
| Coffee break | 11:15–11:30 on working days |
| Battery charging | Solar only |
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
Compare solar production, demand, grid import and storage behaviour across the modelled day.
How to read it. Interpret the permanent load alongside working activity and the storage reserve.
Comfort and indoor air
Compare temperature, carbon dioxide and occupancy in engineering, administration and the workshop, alongside server-room and outdoor temperature.
How to read it. Distinguish a technical room from occupied workspaces when considering ventilation and comfort.
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.
