Programme

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THEME 1: (Automated) fault diagnosis and Performance analysis: Systems Engineering, data-driven methods, performance visualization, which (mixed) methods do we need to guarantee performance of HVAC systems?

ROOM B BG-OOST-370

ROUND #1: Moderator Kees Wisse - DWA
Werner Vink - Heroes - 'HVAC - data in practice: two real life examples where data analytics realized system optimazation'
Arie Taal - PhD TUD/TUe - 'Energy diagnosis applying systems engineering'
Baldiri Salcedo Rahola - HHS - 'Dwelling energy performance analysis based on smart meter data'

ROUND #2: Moderator Mirjam Harmelink - TUD
Roel Loonen - TU/e - 'Machine learning for supporting automated performance analysis of rooftop PV'
Kees Wisse - DWA - 'Diagnosis of air handling units: a machine learning approach'
Epko Horstman - BSRI -‘Be smart - but first become intelligent’ 

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THEME 2: Operation control: Which kind of (model predictive) control methods will be used in the future, and how will they help matching supply and demand in smart grids?

ROOM P BG-OOST-330

ROUND #1: Moderator Roel Loonen - TU/e
Tamas Keviczky - TUD - 'ATES Smart Grids'
Joep van der Velden - Kropman - 'Advanced Control of a 48kWh battery storage system in real live Smart-Grid ready building'
Filip Jorissen - KU Leuven - 'Optimal control of HVAC up to component level using white-box MPC'

ROUND #2: Moderator Tamas Keviczky - TUD
Cristina Jurado Lopez - Deens - 'Thermal Predictive Algorithms for Smart Readiness of Districts Heating'
Dmitry Surugin - Spectral - 'From reactive to predictive control: Smart Building Platform for energy and comfort optimization'
Theo Rieswijk - Priva - 'Priva Energy Comfort Optimizer, using AI to improve comfort while reducing energy use'

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THEME 3: Digital twins for performance prediction: performance prediction becomes important for control & maintenance, but also for performance contracts. What kind of data-driven digital twins do we need?

ROOM C 01-OOST-319

ROUND #1: Moderator Marleen Spiekman - TNO
Arash Rasooli - TUD - 'Determination of Building’s Thermo-Physical Characteristics Through Inverse Modelling'
Eric Willems - Huygen - 'Whispering with smart meter data'
Sundaravelpandian Singaravel - Renson - 'Interpretable neural encoding for space occupancy estimation'

ROUND #2: Moderator Mary Green - WUR
Paula van den Brom - TUD - 'Model calibration at building stock level with Machine learning'
Olivia Guerra Santin - TU/e - 'Data-driven occupancy patterns: what occupancy factors are important to predict building performance?'
Robbert-Jan Dikken - Peutz - 'Balancing urban energy supply and demand through AI and physics-based modelling'