Programme
09:00 Walk in with coffee/tea - Registration in hall B (BG-oost-370)
09:20 Welcome by Prof. Dr. Laure Itard
Introduction by Prof. Dr. Kornelis Blok
09:30 Dr. Ruchi Chandhary, University of Cambridge
'Data Science for the Built Environment'
• click here to download the presentation
Prof. Dr. Henrik Madsen, DTU
'Data-Intelligent Energy Performance and Flexibility of Buildings'
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Dr. Stephen Galsworthy, Quby
'Making homes efficient and comfortable using ML and IoT data'
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11:30 Coffee/tea break
11:45 Theme sessions round #1 in hall B (BG-oost-370),
C (01-oost-319) and P (BG-oost-330)
12:30 Lunch
13:15 Theme sessions round #2 in hall B (BG-oost-370),
C (01-oost-319) and P (BG-oost-330)
14:00 Closing
15:00 Inaugural address Laure Itard (Location Aula)
'Energy Analytics for Sustainable Buildings'
Theme sessions
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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'