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Code and Supplementary Data Publication to the paper "Optimal Ventilation Systems via MILP: Duct Sizing, Fan Placement, Control Strategies"

datacite.relation.cites https://github.com/jhpb7/VentilationSysOpt_Preplanning/releases/tag/v1.0
datacite.relation.cites https://github.com/jhpb7/vensys-clustering/releases/tag/v1.0
datacite.relation.cites https://github.com/jhpb7/underestimating-hyperplanes/releases/tag/v1.0
dc.contributor.author Breuer, Julius H.P.
dc.date.accessioned 2025-09-15T08:19:18Z
dc.date.created 2025-08-24
dc.date.issued 2025-09-15
dc.description This dataset is the code and supplementary data publication for the paper "Optimal Ventilation Systems via MILP: Duct Sizing, Fan Placement, Control Strategies". It contains all results with full details in the form of HDF5 files. Further, it contains three zipped github repos that were used within the creation of the paper. 1. The entire code base to perform preprocessing, optimisation and postprocessing the optimisations. It contains the optimisation problem as well as all the input data needed to rerun the existing or to perform own optimisation. 2. The code to cluster the load cases 3. The code to underestimate using hyperplanes, i.e. the relaxation performed in the paper. The repositories are available under "Related Resources". The latter two additionally contain the preprocessing steps for the paper as examples. More information about the repository can be found under "description_this_repository.txt". The presented results were obtained within the research project “Algorithmic System Planning of Air Handling Units”, Project No. 22289 N/1, funded by the program for promoting the Industrial Collective Research (IGF) of the German Ministry of Economic Affairs and Climate Action (BMWK), approved by the Deutsches Zentrum für Luft- und Raumfahrt (DLR). We want to thank all the participants of the working group for the constructive collaboration.
dc.description.version 1
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4799
dc.identifier.uri https://doi.org/10.48328/tudatalib-1937
dc.language.iso en
dc.rights.licenseMIT (https://opensource.org/licenses/MIT)
dc.subject ventilation system
dc.subject optimisation
dc.subject building engineering
dc.subject life-cycle costs
dc.subject engineering optimisation
dc.subject decision support
dc.subject.classification 4.22-03
dc.subject.classification 3.31-01
dc.subject.ddc 620
dc.subject.ddc 510
dc.title Code and Supplementary Data Publication to the paper "Optimal Ventilation Systems via MILP: Duct Sizing, Fan Placement, Control Strategies"
dc.type Software
dc.type Dataset
dc.type Other
dc.type Model
dcterms.accessRights openAccess
person.identifier.orcid https://orcid.org/0000-0002-6226-7208
tuda.agreements true
tuda.unit TUDa

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Original bundle

Now showing 1 - 7 of 7
NameDescriptionSizeFormat
figure_data.zip7.15 KBZIP-Archivdateien Download
load_case_volume_flow_demands_per_room.yml2.32 KBUnknown data format Download
optimisation_results.zip293.5 MBZIP-Archivdateien Download
description_this_repository.txt1.59 KBPlain Text Download
underestimating-hyperplanes-main.zip429.56 KBZIP-Archivdateien Download
vensys-clustering-main.zip117.45 KBZIP-Archivdateien Download
VentilationSysOpt_Preplanning-main.zip3.42 MBZIP-Archivdateien Download

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