Abstract
Despite tremendous advances in computing and control technologies, most buildings
are still relatively inefficient in their operation. Modern building management systems
provide tools to manage the energy consumption of the building. However, with the increase
of the amount of data and rate at which this data is collected, it becomes impossible to manually
analyze the data and make appropriate decisions. Thus, an automated system that supports
decision making based on data analytics algorithms can help facility managers improve
building performance in a more dynamic and optimal way. Such system could be used not only
to visualize energy consumption and generation data from the past, present and future by
monitoring and forecasting, but also to provide feedback on how certain measures can improve
the overall energy efficiency of the building. In this work the focus is on the analysis of the
technical feasibility and market potential of this prescriptive analytics approach for improving
the energy efficiency of buildings. For this, the technical requirements, needed inputs and
effort are discussed. The market potential is analyzed based on a rough estimation of the
additional investment and the potential effects of the improvements. The deployment itself
requires additional investment costs (e.g. for additional equipment or modeling of the building
and its systems) and only seen through the savings the return of investment period based on
the assumptions is somewhere between 5 and 10 years. However, the indirect effect of the
occupants´ comfort and company´s image improvement, which are difficult to measure, is another
major benefit and should be a driving factor.
Originalsprache | Englisch |
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Titel | Science.Research.Pannonia, Gebäuder der Zukunft? |
Seiten | 121-127 |
Seitenumfang | 7 |
Publikationsstatus | Veröffentlicht - 2018 |
Veranstaltung | e-nova 2018 Gebäude der Zukunft? - Dauer: 22 Nov. 2018 → 23 Nov. 2018 |
Konferenz
Konferenz | e-nova 2018 Gebäude der Zukunft? |
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Zeitraum | 22/11/18 → 23/11/18 |
Research Field
- Ehemaliges Research Field - Digitalisation and HVAC Technologies in Buildings