“Dynamic energy performance evaluation of buildings in operation requires gathering data from a multitude of controllers and sensors. This data collection is enabled by recent advances in Internet of Things (IoT) as well as Building Management Systems (BMS) communication interfaces, combined with exploitation of open data.
Once the data is collected, it is further processed in cloud environments to carry out monitoring analyses that will deliver further value to the building operator and occupants. This processing builds upon modern cloud and data processing technologies, whose recent advances have opened new avenues within building energy and indoor climate management.
Experiences from the E-DYCE demonstration project will be presented in this webinar combining perspectives from industrial actors with full-scale solutions as well as building analysis experts.”
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Short Abstract: To allow a transition from static to dynamic EPC, the dynamic behaviour of the building must be assessed. This is an introduction to the different monitoring possibilities for energy and indoor environment quality. A return of experience from 4 Swiss case studies monitoring installations in the Edyce project is also presented. (10min)
Short Abstract: A key enabling technology of dynamic performance evaluation of buildings is the availability of high resolution measurement data. A number of solutions are nowadays available on the market, and this presentation will introduce a cloud-based example provided by Neogrid. Protocols and technologies relevant to the building sector will be presented in the context of the Danish demonstrators of EDYCE. Lastly, integration of the cloud system with third party tools will be touched upon, to highlight the need for greater interoperability between systems. (10min)
Short Abstract: “The presentation discusses applying and translating the EDYCE methodology into the five Italian demo cases, two schools and three private houses. Treated topics are inspections, data collection to develop initial EnergyPlus models, monitoring plan and sensor implementation, and model verification. The approach is also discussed via dataflows to localise this first EDYCE methodology step into the whole process.” (10min)
Short Abstract: “The SATO project will implement a cloud based platform that can perform self assessment and optimisation of energy consuming devices in a building. This platform will use an artificial intelligence approach combined with 3D BIM based visualisation to provide an accurate vision of the real life energy performance of buildings and appliances.” (10min)
Short Abstract: “Sensor monitoring data for energy consumption from all demonstration cases and weather data from outer sources is collected for deep learning models development. CORE’s Hybrid infrastructure gives the power for real time inferencing of the models with ability to accurately forecast short, medium and long term weather and energy consumption values of the buildings. The global availability of those forecasts and the wide connectivity options with other platforms are unprecedented due to Cloud technology”.
Question/Discussions 10:00 – 10:15