Datum
do 13 oktober 2022 | 14:00
Dit evenement heeft reeds plaatsgevonden.
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Brains 4 Buildings organiseert maandelijkse webinars waarin deskundigen allerlei actuele onderwerpen met betrekking tot slimme gebouwen belichten. 13 oktober zal er een webinar plaatsvinden over het opzetten van slimme gebouwen.
Buildings will increasingly need to be able to adapt to fluctuations in energy supplies to meet the end-user comfort demand. To this end, buildings have to generate and buffer energy on a aggregated level and provide a customized climate on a local level. On both levels there is a need for anticipating controls which can learn from past and forecast future building behavior.
Over the last decade Kropman as a company has invested in its office in Breda with the setup of a 'living lab'. Multiple students, PhD's and PDEngs have conducted research in this real life office environment on topics, like:
Optimize energy consumption with combining solar panels and battery storage.
Individual climate control with local supply of heating, cooling and fresh air (climate desk).
Individual lighting system.
Influence of light intensity and color on employee performance and comfort.
Fault Detection and Diagnosis.
The common denominator for all mentioned topics is that they all heavily rely on both historical and real time data coming from multiple sources.
This data needs to be made accessible to be used for applications like machine learning and direct control. This seminar will give an insight in how Kropman's InsiteSuite software solutions provides access to all applicable building data and supplies tools to build advanced anticipating controls.
Speaker: Jan- Willem Dubbeldam(head of the Technical Competence Center within Kropman for the past 13 years).
Brains 4 Buildings is a multi-year, multi-stakeholder program focused on developing methods to harness big data from smart meters, building management systems and the Internet of Things devices, to reduce energy consumption, increase comfort, respond flexibly to user behaviour and local energy supply and demand, and save on installation maintenance costs. This will be done through the development of faster and more efficient Machine Learning and Artificial Intelligence models and algorithms. The project is geared to utility buildings such as commercial and institutional buildings.
Kijk voor meer informatie over het webinar op de website van Brains 4 Buildings.
Klik hier voor meer informatie over de samenwerking tussen Brains 4 Buildings en DGBC
