Decision support for optimal investments in building energy systems

authored by

Tim Brauner, Tobias Kraschewski

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.

Organisation(s)

Institute of Computer Science for Business Administration

Type

Other contribution in a book, report, anthology or conference proceeding

Publication date

2019

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Information Systems

Sustainable Development Goals

SDG 7 - Affordable and Clean Energy

Electronic version(s)

https://aisel.aisnet.org/amcis2019/green_is_sustain/green_is_sustain/5 (Access: Closed)