ADQUIO ANALYTICS · USE CASES
A pool needs to maintain its conditions as attendance changes. A sports centre must balance service, comfort and technical demand.
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 Sports Centre
The reference centre covers 3,000 m², with 1,400 members, 22 employees and a maximum occupancy of 240. A 375 m³ pool and 24 showers operate alongside photovoltaics, storage and hot water production.
Analytics connects facility use with pool processes and domestic hot water. Comparing periods helps separate permanent demand from user-related loads and water treatment needs.
Questions this example helps answer
Visualisations become useful when they support a specific decision. This example helps explore the following questions:
What changes as attendance rises?
How do pool temperature and water treatment behave?
How are showers, hot water and energy demand related?
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 | 3000 m² |
| Team | 22 people |
| Photovoltaics | 160 × 400 W modules = 64 kWp |
| Inverters | 3 × 22 kW |
| Nominal battery capacity | 150 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 |
| Users | 1,400 members · capacity 240 people |
| Pool | 375 m³ · water surface 250 m² |
| Pool temperature targets | Water 28 °C · air 30 °C |
| Water treatment | Chlorine 1.2 mg/l · pH 7.3 |
| Filtration and heating | 7.5 kW filtration · 110 kW thermal output · COP 3.5 |
| Showers and hot water | 24 showers · 3,000 l tank at 60 °C |
| Hours | 07:00–22:00 weekdays · 09:00–20:00 weekends |
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
Read generation, demand, grid supply and storage together.
How to read it. Distinguish the centre’s permanent technical needs from attendance-related demand.
Sports use and services
Follow users present, visitor arrival rates and the facility’s energy demand.
How to read it. Compare similar activity periods when reviewing the relationship between service and consumption.
Swimming pool, water and hot water
Inspect pool and hot water temperatures, chlorine and pH in separate panels with their own units.
How to read it. These are model references, not a substitute for statutory pool hygiene checks or certified measurement.
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.
