Abstract
This paper introduces SeeQ, a programming model and an abstraction framework that facilitates the development of portable data- driven building applications. Data-driven approaches can provide insights into building operations and guide decision-making to achieve operational objectives. Yet the configuration of such applications per building requires extensive effort and tacit knowledge. In SeeQ, we propose a portable programming model and build a software system that enables self-configuration and execution across diverse buildings. The configuration of each building is captured in a unified data model - in this paper, we work with the Brick ontology without loss of generality. SeeQ focuses on the distinction between the application logic and the configuration of an application against building-specific data inputs and systems. We test the proposed approach by configuring and deploying a diverse range of applications across five heterogeneous real-world buildings. The analysis shows the potential of SeeQ to significantly reduce the efforts associated with the delivery of building analytics.
Original language | American English |
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Pages | 159-168 |
Number of pages | 10 |
DOIs | |
State | Published - 2023 |
Event | 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation - Istanbul Turkey Duration: 15 Nov 2023 → 16 Nov 2023 |
Conference
Conference | 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation |
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City | Istanbul Turkey |
Period | 15/11/23 → 16/11/23 |
NREL Publication Number
- NREL/CP-5500-88581
Keywords
- analytics
- brick
- metadata
- ontologies
- portability
- programming
- RDF
- scalability
- semantic web
- SHACL