Carleton-DBOM-Research-Group / Building_energy_management_toolkit

A framework for a multi-source, data-driven building energy management toolkit as a synthesis of established data analysis approaches in the literature.

Building Energy Management Toolkit

This repository contains the web application version of a multi-sourced, data-driven toolkit for addressing building energy deficiencies and is open-source for others to learn from, adapt, and foster into more specialised versions of multi-sourced, data-driven toolkits. At this stage, the toolkit is undergoing active development. Additions and revisions are expected and the repository will be updated periodically to reflect the most recent changes.

http://building-energy-management-toolkit.com/home

The toolkit has a name now! "FRAMeWORK"

Reference documentation

Framework of the toolkit

Markus et al., "A framework for a multi-source, data-driven building energy management toolkit," 2021. https://doi.org/10.1016/j.enbuild.2021.111255

Metadata inferencing function (metadata.py)

Chen et al., "A Metadata Inference Method for Building Automation Systems With Limited Semantic Information," 2020. https://doi.org/10.1109/TASE.2020.2990566

Baseline energy function (energyBaseline.py)

Gunay et al., "Detection and interpretation of anomalies in building energy use through inverse modeling," 2019. https://doi.org/10.1080/23744731.2019.1565550

Afroz et al., "An inquiry into the capabilities of baseline building energy modelling approaches to estimate energy savings," 2021. https://doi.org/10.1016/j.enbuild.2021.111054

AHU anomaly detection function (ahuAnomaly.py)

Gunay and Shi, "Cluster analysis-based anomaly detection in building automation systems," 2020. https://doi.org/10.1016/j.enbuild.2020.110445

Darwazeh et al., "Development of Inverse Greybox Model-Based Virtual Meters for Air Handling Units," 2021. https://doi.org/10.1109/TASE.2020.3005888

Zone anomaly detection function (zoneAnomaly.py)

Gunay and Shi, "Cluster analysis-based anomaly detection in building automation systems," 2020. https://doi.org/10.1016/j.enbuild.2020.110445

End-use disaggregation function (endUseDisaggregation.py)

Gunay et al., "Disaggregation of commercial building end-uses with automation system data," 2020. https://doi.org/10.1016/j.enbuild.2020.110222

Darwazeh et al., "Virtual metering of heat supplied by hydronic perimeter heaters in variable air volume zones," 2020. https://doi.org/10.1145/3427771.3429389

Hot/cold complaints analytics function (complaintsAnalytics.py)

Dutta et al., "A method for extracting performance metrics using work-order data,", 2020. https://doi.org/10.1080/23744731.2019.1693208

Occupancy count estimation function (occupancy.py)

Hobson et al., "Clustering and motif identification for occupancy-centric control of an air handling unit," 2020. https://doi.org/10.1016/j.enbuild.2020.110179

Gunay et al., "The effect of zone level occupancy characteristics on adaptive controls," 2017. https://www.researchgate.net/profile/Burak-Gunay/publication/319041337_The_effect_of_zone_level_occupancy_characteristics_on_adaptive_controls/links/598c5e9e0f7e9b07d224ddb6/The-effect-of-zone-level-occupancy-characteristics-on-adaptive-controls.pdf