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M. Schuss:
"Recent Advances in Building Monitoring and Operation";
TU Wien, Fakultät f. Architektur und Raumplanung, 2018.

Buildings play an important role in the world total energy use. Thereby, a major part of the buildings´ energy use is caused by the operation of related environmental systems to provide suitable indoor environmental conditions. The increasing complexity of buildings and the included systems often poses challenges for performance evaluation or identification of technical deficiencies. Building diagnostics based on data collection and
analysis helps to understand the buildings and their systems in more detail and could provide a significant input for the validation of new concepts for hardware- and softwarecentric
building retrofits in the future.
Especially, the existing building stock, given its limitations regarding legacy automation and management systems can be a difficult case in terms of monitoring. However, new web
based technologies and the recent IoT (Internet of Things) developments facilitate the implementation of new data monitoring concepts, which differ from the existing centralized approaches in building management systems. Furthermore, combination of
data streams from multiple sources can provide additional information beyond single buildings. Buildings can be thus integrated into web services for building monitoring,
visualization, and data analysis.
Moreover, the complexity of buildings and the interferences of included environmental systems make the implementation of optimized strategies for system control necessary. A
predictive control approach is able to capture such complex relationships as well as the influences of internal and external factors. An optimized operation with a predictive control
approach could significantly improve the performance in terms of environmental indoor comfort (e.g. thermal, air quality, etc.) and energy use.
The present habilitation reports on several research projects and the resulting publications, which explored the advantages of flexible monitoring concepts in practice, along with the
potential of predictive approaches in building systems control.

(no german version)
Buildings play an important role in the world total energy use. Thereby, a major part of the buildings´ energy use is caused by the operation of related environmental systems to provide suitable indoor environmental conditions. The increasing complexity of buildings and the included systems often poses challenges for performance evaluation or identification of technical deficiencies. Building diagnostics based on data collection and
analysis helps to understand the buildings and their systems in more detail and could provide a significant input for the validation of new concepts for hardware- and softwarecentric
building retrofits in the future.
Especially, the existing building stock, given its limitations regarding legacy automation and management systems can be a difficult case in terms of monitoring. However, new web
based technologies and the recent IoT (Internet of Things) developments facilitate the implementation of new data monitoring concepts, which differ from the existing centralized approaches in building management systems. Furthermore, combination of
data streams from multiple sources can provide additional information beyond single buildings. Buildings can be thus integrated into web services for building monitoring,
visualization, and data analysis.
Moreover, the complexity of buildings and the interferences of included environmental systems make the implementation of optimized strategies for system control necessary. A
predictive control approach is able to capture such complex relationships as well as the influences of internal and external factors. An optimized operation with a predictive control
approach could significantly improve the performance in terms of environmental indoor comfort (e.g. thermal, air quality, etc.) and energy use.
The present habilitation reports on several research projects and the resulting publications, which explored the advantages of flexible monitoring concepts in practice, along with the
potential of predictive approaches in building systems control.