Cognitive IoT Framework for Building Energy Optimization (CBEO)
SW#7
To achieve the proposed operational functionalities in REN+HOMES, multiple technological developments are required. A modular platform is being developed to solve conflicting requirements, be it cost reduction, enhanced comfort, or finding an optimal balance. The platform also detects and notifies users of non-optimal energy states, such as unoccupied spaces or open windows, using an optimal energy management engine.
Target technical data
Maintenance and operation cost savings
15%
Total cost reduction vs typical construction/retrofitting
6%
State of the art and main challenges
Several tools exist to satisfy diverse user desires, like thermal comfort or energy costs. However, current buildings do not harmonise these tools, which can make them work against each other sometimes. Potential advancement requires the optimization of energy grid demand and tailored consumption-generation management.
Innovations and added value
Several technological developments are contributing to achieve the operational functionalities proposed in REN+HOMES. The solution is modularised to cover a wide range of potential needs, whether for minimising costs, maximising comfort, or achieving an optimal balance between the two. Non-optimal energy states (e.g. no human presence/ open windows etc.) are also detected and the optimal energy management engine provides notification of this. Further advancing the capabilities of the CBEO, the platform is made ready to support energy flexibility requests from external parties using industry standard protocols. As such, the user will be able to select between utilising flexibility for own consumption or grid support purposes. A novel flexibility characterisation algorithm are developed to enable the fine-grained flexibility determination, in terms of shiftable demand and comfort loss. Finally, the CBEO price forecasting module takes into account different energy pricing contexts in the different pilot countries.
