Publikation: An Open Solution to Provide Personalize...
Stammdaten
Titel: | An Open Solution to Provide Personalized Feedback for Building Energy Management |
Untertitel: | |
Kurzfassung: | The integration of renewable energy sources increases the complexity in maintaining the power grid. In particular, the highly dynamic nature of generation and consumption demands for a better utilization of energy resources, which seen the cost of storage infrastructure, can only be achieved through demand-response. Accordingly, the availability of energy and potential overload situations can be reflected using a price signal. The effectiveness of this mechanism arises from the flexibility of device operation, which is nevertheless heavily reliant on the exchange of information between the grid and its consumers. In this paper, we investigate the capability of an interactive energy management system to timely inform users on energy usage, in order to promote an optimal use of local resources. In particular, we analyze data being collected in several households in Italy and Austria to gain insights into usage behavior and drive the design of more effective systems. The outcome is the formulation of energy efficiency policies for residential buildings, as well as the design of an energy management system, consisting of hardware measurement units and a management software. The Mjölnir framework, which we release for open use, provides a platform where various feedback concepts can be implemented and assessed. This includes widgets displaying disaggregated and aggregated consumption information, as well as daily production and tailored advices. The formulated policies were implemented as an advisor widget able to autonomously analyze usage and provide tailored energy feedback. The advisor is estimated leading to a potential of 34% of savings using measurement data from the GREEND dataset. |
Schlagworte: |
Publikationstyp: | Beitrag in Zeitschrift (Autorenschaft) |
Erscheinungsdatum: | 22.02.2017 (Online) |
Erschienen in: |
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments
(
IOS Press;
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | 9 |
Heftnummer: | 2 |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 147 - 162 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 22.02.2017 |
ISBN (e-book): | - |
eISSN: | 1876-1372 |
DOI: | http://dx.doi.org/10.3233/AIS-170422 |
Homepage: | https://mobile.aau.at/publications/monacchi-2017-An%20open%20solution%20to%20provide%20personalized%20feedback.pdf |
Open Access |
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AutorInnen
Andrea Monacchi (intern) | ||||
Fabio Versolatto
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Martin Herold (extern) | ||||
Dominik Egarter (extern) | ||||
Andrea M. Tonello (intern) | ||||
Wilfried Elmenreich (intern) |
Zuordnung
Organisation | Adresse | ||||
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Fakultät für Technische Wissenschaften
Institut für Vernetzte und Eingebettete Systeme
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AT - 9020 Klagenfurt am Wörthersee |
Kategorisierung
Sachgebiete | |
Forschungscluster |
|
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