Projects per year
Abstract
Building management systems have evolved over the years as computational power has increased, data storage has gotten cheaper, and buildings have increased their level of monitoring. This has increased the potential of using their data for more purposes than simple monitoring, such as fault detection or advanced building assessments. These improvements have, though, not fully found their way into the industry yet, with many building management systems still only having the classic monitoring capacity.
This thesis has, therefore, investigated the barriers and drivers related to academia and the building industry through an extensive literature study and interviews with experts from the industry to determine how the implementation of the advanced methods can be furthered from the academic side.
The results from these initial studies led to the development of KPIs, assessments, and fault detection methods centered around the concept of contextuality, which showed promising results in enhancing our understanding of the building’s and HVAC system’s performance.
This thesis has, therefore, investigated the barriers and drivers related to academia and the building industry through an extensive literature study and interviews with experts from the industry to determine how the implementation of the advanced methods can be furthered from the academic side.
The results from these initial studies led to the development of KPIs, assessments, and fault detection methods centered around the concept of contextuality, which showed promising results in enhancing our understanding of the building’s and HVAC system’s performance.
Original language | English |
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Supervisors |
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Publisher | |
Electronic ISBNs | 978-87-85239-56-3 |
Publication status | Published - 2024 |
Keywords
- HVAC
- Fault Detection
- Contextual Key Performance Indicators
- Building Performance Analysis
- Building Management System
- Machine Learning
- Air Handling Unit
Fingerprint
Dive into the research topics of 'Adding Contextuality to Building Analysis: Development and Implementation of Operational HVAC Performance Assessments'. Together they form a unique fingerprint.Projects
- 2 Finished
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Automated diagnosis & optimization of non-residential building performance.
Melgaard, S. P. (PI)
01/02/2021 → 31/01/2024
Project: Research
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Self Assessment Towards Optimization in Building Energy
Heiselberg, P. K. (Project Participant), Jensen, R. L. (Project Participant), Marszal-Pomianowska, A. (Project Participant), Rohde, L. (Project Participant), Melgaard, S. P. (Project Participant) & Andersen, K. H. (Project Participant)
01/10/2020 → 30/09/2024
Project: Research
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AHU Heat Exchanger Performance Tracking During the Building Operational Phase
Melgaard, S. P., Jensen, R. L., Andersen, K. H. & Heiselberg, P. K., 2024, VBN, 27 p.Research output: Working paper/Preprint › Preprint
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Assessment of thermal comfort at the building level: Evaluation of aggregation methods with a Danish case study of a campus building
Melgaard, S. P., Marszal-Pomianowska, A., Petit, S., Rohde, L., Johra, H., Jensen, R. L. & Heiselberg, P. K., 2024, 6 p.Research output: Working paper/Preprint › Preprint
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Barriers and drivers for implementation of automatic fault detection and diagnosis in buildings and HVAC systems: An outlook from industry experts
Andersen, K. H., Melgaard, S. P., Johra, H., Marszal-Pomianowska, A., Jensen, R. L. & Heiselberg, P. K., 15 Jan 2024, In: Energy and Buildings. 303, 20 p., 113801.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile10 Citations (Scopus)48 Downloads (Pure)