EnVisA - Energy Visualisation with Artificial Intelligence
| Reference number | |
| Coordinator | SWERIM AB |
| Funding from Vinnova | SEK 5 026 000 |
| Project duration | November 2020 - April 2024 |
| Status | Completed |
| Venture | AI - Leading and innovation |
| Call | AI in the service of climate |
Important results from the project
EnVisA focuses on developing a AI based prediction-visualization tool for process gas supply and finally testing it in the industrial trial, to guide operators in CHP for more efficient and sustainable usage of process gas as an energy source. We have achieved the project objectives, including predicting surplus process gases with AI, real-time process gas (energy) visualization, integrating the prediction-visualization tool, testing and improving it in the industrial trial.
Expected long term effects
We have achieved the follow results: 1. Develop an efficient data collection process that realize real-time data capture and storage. 2. Develop an visualization process that enable real-time gas (energy) display. 3. Develop a AI-based prediction model that can conduct real-time prediction for necessary process gas factors for achieving the goal of the EnVisA project. 4. Integrate the prediction-visualization tool. 5. Test and improve the prediction-visualization tool successfully in the industrial trial.
Approach and implementation
The EnVisA project spans from Q4 2020 to Q2 2024, the following WPs have been finished. WP1 manages the project, holds meetings, and disseminates results. WP2 defines the problem scope, including visualization requirements, needs of operators and data access. WP3 handles data collection and system setup, ensuring fast connectivity. WP4 develops a real-time process gas visualization system. WP5 creates a prediction module for surplus process gases. WP6 conducts industrial trials to test the developed model. WP7 performs a benefit analysis.