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conference paper

Linking business model innovation with energy system optimization

Rohrbach, Beni
•
Von Euw, Livio
•
Bollinger, Andrew
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Scartezzini, Jean-Louis  
2019
Journal of Physics: Conference Series
CISBAT 2019 | Climate Resilient Cities – Energy Efficiency & Renewables in the Digital Era

There are dedicated computational models and platforms to facilitate the design and planning of multi-energy-systems. However, the widespread adoption of new technological solutions largely depends on the right business models. Whilst there exists a list of possible business opportunities emerging with a multi-energy-system, there is lacking guidance on how to match their design with business models. A close fit could possibly increase the speed of implementation of a new energy solution. This study describes and tests a methodology to evaluate and improve the match between business models of selected companies and planned multi-energy-systems. A total of six districts with planned energy systems as well as six companies were assessed for their matching potential. Then, mutual adaptation between the business model and the further energy system optimization was tested as a way to improve the match.

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Type
conference paper
DOI
10.1088/1742-6596/1343/1/012115
Author(s)
Rohrbach, Beni
Von Euw, Livio
Bollinger, Andrew
Pacheco, Carlos
Perera, A.T.D.  
Editors
Scartezzini, Jean-Louis  
Date Issued

2019

Publisher

IOP Science

Published in
Journal of Physics: Conference Series
Volume

1343

Start page

012115

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LESO-PB  
Event nameEvent placeEvent date
CISBAT 2019 | Climate Resilient Cities – Energy Efficiency & Renewables in the Digital Era

Lausanne, Switzerland

September 4-6, 2019

Available on Infoscience
February 18, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/166305
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