O’Donnell, James, Corry, Edward, Hasan, Souleiman and Keane, Markus (2013) Building performance optimization using cross-domain scenario modeling, linked data, and complex event processing. Building and Environment, 62. pp. 102-111. ISSN 0360-1323
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Abstract
The scenario modeling method empowers building managers by enabling comprehensive performance
analysis in commercial buildings, but is currently limited to data from the building management domain.
This paper proposes that Linked Data and Complex Event Processing can form the basis of an interoperability
approach that would help to overcome technical and conceptual barriers to cross-domain
scenario modeling. In doing so, this paper illustrates the cross-domain potential of scenario modeling
to leverage data from different information silos within organizations and demonstrates how to optimize
the role of a building manager in the context of his or her organization. Widespread implementations of
cross-domain scenario models require a solution that efficiently manages cross-domain data acquisition
and post processing underpinned by the principles of linked data combined with complex event processing.
An example implementation highlights the benefits of this new approach. Cross-domain scenario
models enhance the role of the building manager within an organization and increase the
importance of information communicated by building managers to other organizational stakeholders. In
addition, new information presented to stakeholders such as facilities managers and financial controllers
can help to identify areas of inefficiency while still maintaining building function and optimized energy
consumption. Two key challenges to implementing cross-domain scenario modeling are: the data
integration of the different domains’ sources, and the need to process scenarios in real-time. This paper
presents an implementation approach based on linked data to overcome interoperability issues, and
Complex Event Processing to handle real-time scenarios.
Item Type: | Article |
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Keywords: | Linked data; Complex event processing; Performance metrics; Building performance analysis; |
Academic Unit: | Faculty of Social Sciences > School of Business |
Item ID: | 11328 |
Identification Number: | 10.1016/j.buildenv.2013.01.019 |
Depositing User: | Souleiman Hasan |
Date Deposited: | 17 Oct 2019 13:10 |
Journal or Publication Title: | Building and Environment |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/11328 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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