Sensitivity Analysis of Model Output

Shuttle Departure from Saint-Pierre to Le Tampon

The Bus will pick up the participants at the CASINO of Saint-Pierre (seafront, Boulevard Hubert Delisle)

Registration

Welcome by the Organizers

Amphi 500

A. Bastide, S. Tarantola, T. Mara and B. Iooss

Welcome

Amphi 500

Andrea Saltelli introducing Ilya M. Sobol'

https://samo2016.sciencesconf.org/data/program/Sobol.pdf

Lessons from Sobol'

Amphi 500

Sergei Kucherenko presented I.M. Sobol' Lessons (Video)

https://samo2016.sciencesconf.org/data/program/KS_Sobol.pdf

Coffee break

Esplanade

Variance-based sensitivity analysis

Amphi 500

Andrea Saltelli

› Sobol' sensitivity analysis for stochastic numerical codes - Bertrand Iooss, EDF Lab Chatou 11:15-11:40 (25min)

› Sensitivity analysis under different distributions using the same simulation - Ricardo Bolado-Lavin, Joint Research Centre - Institute for Energy and Transport - Stefano Tarantola, Joint Research Centre - Institute for Energy and Transport 11:40-12:05 (25min)

› Global sensitivity analysis by HDMR combining with improved GMDH algorithm - Lu Wang, School of Aeronautics, Northwestern Polytechnical University 12:05-12:30 (25min)

Lunch

Esplanade

Present Challenges in Sensitivity Analysis

Amphi 500

Andrea Saltelli (Univ. Autonom. Barcelona, Spain and Univ. Bergen Norway)

https://samo2016.sciencesconf.org/data/program/KS_Saltelli.pdf

Applications in Building and Energy systems

Amphi 500

Alain Bastide

› Identification of influential parameters in building energy simulation and life cycle assessment - Patrick Schalbart, Centre Efficacité Énergétique des Systèmes 15:00-15:25 (25min)

› Sensivity analysis and calibration of a numerical code for the prediction of power from a photovoltaic plant - Mathieu Carmassi, AgroParisTech, EDF R&D, EDF R&D 15:25-15:50 (25min)

Coffee break + Poster Session

Esplanade

Applications in Building and Energy systems

Esplanade

› Dynamic coupling between µCHP systems and buildings: sensibility analysis of the time resolution of the electrical demand data and of µCHP modeling typology - Jean-Baptiste BOUVENOT, ICube laboratory, University of Strasbourg, France 16:10-16:50 (40min)

› EnergyPlus Laboratory for Sensitivity and Uncertainty Analysis in Building Energy Modeling : The EPLab Software - Jeanne Goffart, Pontifical Catholic University of Paraná 16:10-16:50 (40min)

› GLOBAL SENSITIVITY ANALYSIS OF NON-DOMESTIC BUILDINGS THERMAL BEHAVIOUR - Sergei Kucherenko, Imperial College London 16:10-16:50 (40min)

› Implementation of Sensitivity analysis in sustainable building design - Matthias Haase, SINTEF Buildings and Infrastructure 16:10-16:50 (40min)

› Model Interpretation via Multivariate Padé-Approximant in Low-Rank Format - Rastko Zivanovic, The University of Adelaide 16:10-16:50 (40min)

› Real-time building design space exploration using two-sample Kolmogorov Smirnov tests to rank inputs according to multiple outputs - Torben Østergård, Department of Civil Engineering, Aalborg University, MOE Consulting Engineers 16:10-16:50 (40min)

› Sensitivity Analysis for Energy Performance Contracting in new buildings - Lisa Rivalin, Centre Efficacité Énergétique des Systèmes - Dominique Marchio, Centre Efficacité Énergétique des Systèmes - Pascal Stabat, Centre Efficacité Énergétique des Systèmes - Marcello Caciolo, Service Engagement Energétique - Frédéric Hopquin, Service Engagement Energétique 16:10-16:50 (40min)

› Using the sensitivity analysis to optimize passive cooling solutions in the urban tropical environment - Aurélie Foucquier, CEA 16:10-16:50 (40min)

Calibration and Bayesian approaches

Amphi 500

Thierry Mara

› Adaptive numerical designs for the calibration of computer codes - Guillaume Damblin, Centre CEA de Saclay DEN/DANS/DM2S/STMF/LGLS 16:50-17:15 (25min)

› Predicted Sensitivity for establishing well-posedness conditions in stochastic inversion problems - Nicolas Bousquet, EDF Lab Chatou & Institut de Mathematique de Toulouse 17:15-17:40 (25min)

Shuttle Departure from Le Tampon to Saint-Pierre

Back to your accommodation

Planning