Work that has been carried out in the project in the first year of operation focuses on several aspects related to demonstration activities, development of PRELUDE technologies, first coordination between technologies-demonstration cases and integration of these through middleware solution.
With respect to demonstration activities, pilot buildings have been screened with regards to their current status. Also, additional monitoring equipment has been identified, installation of it has already stared in more advanced pilots while in some it is still pending. Moreover, first identification of suitable PRELUDE technologies/solution in respective pilot buildings has been detected together with first identification of data requirements to apply these technologies. Challenges and expected outcomes in each demonstration case have been identified. Finally, implementation plan for technologies validation has been prepared for living laboratory in which technologies will be implemented and then validated.
Regarding development of PRELUDE technologies most of the activities has starter and are progressing. The advancement in the tasks is different and depends on exact time each of the tasks has started and resources that have been already used. Among main achievements can be mentioned that:
- Tool for renovation roadmap has been r developed includes smart technologies and access to EPIQR price database and user-friendly web interface.
- Renovation selector tool has been developed to support data-driven selection of renewable solutions.
- Weather prediction model has been developed and applied to the weather data sets of all pilot buildings locations. Also, utilization of weather predictions has been identified.
- PREDYCE python tool that allows management of free running strategies in EnergyPlus is developed for low tech and high-tech buildings.
- Occupancy and behavioral models were tested and validated
- Indoor and outdoor correlation models have been obtained. Algorithm for rules of operation has been developed and tested in several pilot buildings.
- Data driven predictive maintenance model has been developed.
- Comfort and energy module have been finalized and required inputs and expected outputs are identified. The method shall estimate comfort for 24 h ahead, collect user feedback and support scheduling of main devices. The method still has some uncertainty due to simplicity of the model.
- Energy balance forecasting has been finalized with use of data from the living lab case building and later applied to real operational pilot cases.
- Definition of Measurement and Verification options for all pilot cases has been completed, applied and reported.
- Middleware solution (FusiX) is developed, it is launched on cloud. First communication was established for living lab building and proceed for all pilot buildings. Here also the first identification of information model (input/output) has been identified for PRLEUDE technologies and data base structure has been proposed.
- Algorithms for disaggregation of DHW and space heating from total heat logged in smart heat meters are being validated in PRELUDE. methods to preprocess large data sets has been developed and web-based tool to visualize and assess district heating connected buildings has been developed. Method for explicit fault collection has been developed and implemented in real environment. Data-driven methods have been proposed to facilitate automated fault detection and diagnosis.
- Data-driven method has been developed to predict district heating consumption and to be able to keep data privacy.
- PRLEUDE portal has been established to facilitate user and professional’s awareness about energy and indoor climate in the buildings to take corrective measures.
