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WP1.2 Coordination Meeting June 1, 2020
Meeting Report WP1.2 ‘Modelica library for MPC’
Subject: WP1.2
Date: 01-06-2020
Location: Skype for Business
Minutes taken by: Lieve Helsen (KU Leuven)
Approved
4 models selected to start MPC testing
merged to the master – READY! (Dave)
ready for merging – ALMOST READY! (Filip)
In pull request, update needed for zone identifiers (Javier).
Managed to compile the model with JModelica, simulation with JModelica does not run (action Iago/Javier). Have a look at the solvers used.
Tao is processing the feedback from Dave.
Iago gave feedback, occupancy profile is missing. To be processed by Sen. No update.
Yeonjin is working on the control part now 10 zones office with VAV system.
Emulators overview:
Choice between TMYx (1946-2018) and TMY3 (1973-2005) weather files. We have a data reader for TMY3 in IBPSA. Both will be compared in the representative days/weeks selection (action PNNL). Sen No update.
Update sent by Dave on May 20. No remarks.
Dave is working on new version in Docker container that uses Python 3 and PyFMI (which can be installed easily), no JModelica-compiled image needed anymore; unit tests are going on now. We do not see the need to support Python 2 nor to provide backwards compatibility for it.
to be used for grey and black box model identification (training data that differ from test data). No further progress (Dave).
Autoregressive model based on measurements and Q-Q mapping have been tried. Behaviour of the standard deviation is being studied now to judge whether the method is appropriate, to be continued.
1. Contest? Target control or AI community rather than BS community (Jan will connect and make a first proposal for paper/presentation/workshop to make BOPTEST visible, https://www.climatechange.ai).
2. Workshop? Introducing BOPTEST in Summer 2021 (follow-up of paper at BS2019 in Rome), inspiration towards use cases such as: training building operators, assist teaching ... to be discussed in break-out session (all)
No update.
Broaden the user space (e.g. to Machine Learning people). How to reach these people? Jan: make a first suggestion. Cfr OpenAIGym, to be combined with first proposal for paper/presentation/workshop (see 2.c.v.1).