Details
| Original language | English |
|---|---|
| Title of host publication | AMCIS 2019 Proceedings |
| Publisher | Association for Information Systems |
| ISBN (electronic) | 978-0-9966831-8-0 |
| Publication status | Published - 2019 |
| Event | 25th Americas Conference on Information Systems, AMCIS 2019 - Cancun, Mexico Duration: 15 Aug 2019 → 17 Aug 2019 |
Abstract
In 2000, the Renewable Energy Sources Act (EEG) initiated a large dissemination of photovoltaic systems in Germany. The EEG guaranteed a fixed feed-in remuneration for 20 years, which is highly profitable for many private and commercial prosumers. Feed-in tariffs have decreased substantially, resulting in a different economic situation for prosumers. Current prosumers that are about to exit the remuneration in the near future facing the challenge of readjusting their energy infrastructure. Whereas, potential prosumers aiming to establish an efficient building energy system. Both need an artifact that introduces the idea of efficient investments in renewable energy sources technology. Our decision support system (DSS) seeks to provide guidance for private and commercial prosumers by simulating small energy systems, presenting performance indicators and thereby display investments’ impact on the building energy system’s efficiency. The Green IS based DSS reduces complexity of components and enables prosumers to follow a sustainable transformation path.
Keywords
- Building Energy System, Decision Support System, Efficiency, Energy Prosumer, Sustainable Transformation
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
Sustainable Development Goals
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AMCIS 2019 Proceedings. Association for Information Systems, 2019.
Research output: Chapter in book/report/conference proceeding › Other contribution in a book, report, anthology or conference proceeding › Research › peer review
}
TY - CHAP
T1 - Decision support for optimal investments in building energy systems
AU - Brauner, Tim
AU - Kraschewski, Tobias
PY - 2019
Y1 - 2019
N2 - In 2000, the Renewable Energy Sources Act (EEG) initiated a large dissemination of photovoltaic systems in Germany. The EEG guaranteed a fixed feed-in remuneration for 20 years, which is highly profitable for many private and commercial prosumers. Feed-in tariffs have decreased substantially, resulting in a different economic situation for prosumers. Current prosumers that are about to exit the remuneration in the near future facing the challenge of readjusting their energy infrastructure. Whereas, potential prosumers aiming to establish an efficient building energy system. Both need an artifact that introduces the idea of efficient investments in renewable energy sources technology. Our decision support system (DSS) seeks to provide guidance for private and commercial prosumers by simulating small energy systems, presenting performance indicators and thereby display investments’ impact on the building energy system’s efficiency. The Green IS based DSS reduces complexity of components and enables prosumers to follow a sustainable transformation path.
AB - In 2000, the Renewable Energy Sources Act (EEG) initiated a large dissemination of photovoltaic systems in Germany. The EEG guaranteed a fixed feed-in remuneration for 20 years, which is highly profitable for many private and commercial prosumers. Feed-in tariffs have decreased substantially, resulting in a different economic situation for prosumers. Current prosumers that are about to exit the remuneration in the near future facing the challenge of readjusting their energy infrastructure. Whereas, potential prosumers aiming to establish an efficient building energy system. Both need an artifact that introduces the idea of efficient investments in renewable energy sources technology. Our decision support system (DSS) seeks to provide guidance for private and commercial prosumers by simulating small energy systems, presenting performance indicators and thereby display investments’ impact on the building energy system’s efficiency. The Green IS based DSS reduces complexity of components and enables prosumers to follow a sustainable transformation path.
KW - Building Energy System
KW - Decision Support System
KW - Efficiency
KW - Energy Prosumer
KW - Sustainable Transformation
UR - http://www.scopus.com/inward/record.url?scp=85084023576&partnerID=8YFLogxK
M3 - Other contribution in a book, report, anthology or conference proceeding
BT - AMCIS 2019 Proceedings
PB - Association for Information Systems
T2 - 25th Americas Conference on Information Systems, AMCIS 2019
Y2 - 15 August 2019 through 17 August 2019
ER -