SeeQ: A Programming Model for Portable Data-Driven Building Applications
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.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE National Renewable Energy Laboratory (NREL)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 2281826
- Report Number(s):
- NREL/CP-5500-88581; MainId:89360; UUID:bec97071-47a3-46c8-86c2-79a97c5f0922; MainAdminID:71580
- Resource Relation:
- Conference: Presented at the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys '23), 15-16 November 2023, Istanbul, Turkey
- Country of Publication:
- United States
- Language:
- English
Brick : Metadata schema for portable smart building applications
|
journal | September 2018 |
ZonePAC
|
conference | November 2013 |
Query relaxation for portable brick-based applications
|
conference | November 2021 |
Writing scalable building efficiency applications using normalized metadata
|
conference | November 2014 |
Short Paper: Analyzing Metadata Schemas for Buildings: The Good, the Bad, and the Ugly
|
conference | January 2015 |
Shepherding Metadata Through the Building Lifecycle
|
conference | November 2020 |
Application-driven creation of building metadata models with semantic sufficiency
|
conference | November 2022 |
Energon
|
conference | June 2021 |
Plaster: an integration, benchmark, and development framework for metadata normalization methods
|
conference | November 2018 |
Building application stack (BAS)
|
conference | January 2012 |
A Programming Model for Portable Fault Detection and Diagnosis
|
conference | June 2023 |
A linked-data paradigm for the integration of static and dynamic building data in digital twins
|
conference | November 2021 |
BOT: The building topology ontology of the W3C linked building data group
|
journal | November 2020 |
Cooling the buildings – past, present and future
|
journal | September 2016 |
A rule-based fault detection method for air handling units
|
journal | December 2006 |
BuildingDepot 2.0: An Integrated Management System for Building Analysis and Control
|
conference | January 2013 |
Similar Records
Brick : Metadata schema for portable smart building applications