| I&T Solution |
Application of Artificial Intelligence to Optimize the Operation of the Heating Boiler Systems of Swimming Pool to Achieve Energy Saving
(REF: S-1925) |
| Trial Project |
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| Solution Feature |
- The solution improves energy and water efficiency using data and model-based predictive control algorithms. It includes tools to collect real-time data, a digital twin and IA-based control algorithms.
- Data is collected through a cloud-based IoT platform. It includes a gateway compatible with all standard interoperability protocols,
- This data is then connected to a digital twin that is capable of predicting the energy performance of the plant.
- The main parameters are calibrated with a deep-learning algorithm, based on Particle Optimization algorithms powered by actual operative data.
- The controls are computed by algorithms optimizing the energy efficiency of the overall plant while taking into account strong requirements on comfort and water quality.
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| Trial Application and Expected Outcome |
- A target value of over 20% savings could be achieved by introducing IA-based predictive algorithms in the control of the heating and water-treatment systems, as was shown in similar cases in Europe.
- 1) Reduced heat loss, mainly due to evaporation, by dynamic adaptation of temperature and flow 2) Reduced heat demand by dynamically adapting setpoints according to future solar and temperature conditions 3) Reduced heat loss by smoothing of the heat demand.
- The following data will be collected: weather conditions (temperature, humidity, solar radiation, wind speed and direction); water temperature; water quality (pH, chlorine levels); occupancy; loop temperatures and flows; boiler power and consumption.
- The data collected will be used to obtain an accurate heat, mass and enthalpy model. After this period the plant will be dynamically controlled through the IA optimiser.
- The control will be computed based on future occupancy (known from previous occupation schemes), weather forecasts and schedules. It relies on the digital twin for the prediction of energy cost and energy efficiency.
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| Additional Solution Information |
Proposal - AI for energy savings in swimming pools.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Fluidra Asia | | Address | : | No. 11A, Jalan P4/8, Bandar Teknologi Kajang , 43500 Semenyih, Selangor, Malaysia | | Contact Person | : | Jeffrey Hon |
| Position | : | Commercial Project Director | | Tel | : | +6012 6111030 | | Email | : |
jhon@fluidra.com | | Webpage | : | www.fluidra.com |
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