An Ecosystem View of Peer-to-Peer Electricity Trading: Scenario Building by Business Model Matrix to Identify New Roles

Mehdi Montakhabi, Fairouz Zobiri, Shenja van der Graaf, Geert Deconinck, Domenico Orlando, Pieter Ballon and Mustafa A. Mustafa
Additional contact information
Mehdi Montakhabi: Imec-SMIT, Vrije Universiteit Brussel, Pleinlaan 9, 1050 Brussels, Belgium
Fairouz Zobiri: Electa, KU Leuven, Kasteelpark Arenberg 10—Bus 2445, 3001 Heverlee, Belgium
Shenja van der Graaf: Department of Communication Science, Technical University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
Geert Deconinck: Electa, KU Leuven, Kasteelpark Arenberg 10—Bus 2445, 3001 Heverlee, Belgium
Domenico Orlando: CiTiP, KU Leuven, Sint-Michielsstraat 6—Box 3443, 3000 Leuven, Belgium
Pieter Ballon: Imec-SMIT, Vrije Universiteit Brussel, Pleinlaan 9, 1050 Brussels, Belgium
Mustafa A. Mustafa: Department of Computer Science, The University of Manchester, Manchester M13 9PL, UK

Energies, 2021, vol. 14, issue 15, 1-22

Abstract: This article introduces new roles in future peer-to-peer electricity trading markets. Following a qualitative approach, firstly, the value network of the current electricity market is presented. To do so, service streams, critical roles, activities, and their setting in the electricity market are identified. Secondly, in order to identify the main sources of uncertainty, the business model matrix framework is utilized to analyze peer-to-peer electricity trading. Thirdly, four future scenarios are built based on user involvement and customer ownership. The outcome of the scenario building is the emergence of new roles, brokers, and representatives in the future peer-to-peer electricity markets. Fourth, based on the four future scenarios, changes in the value network, new roles, and emerging/evolving activities are identified. Finally, the two new roles are discussed from grid structure, security and privacy, legal, and data protection perspectives. The data is gathered by conducting semi-structured interviews with stakeholders in the current electricity market as well as potential disruptors. This article elaborates on the configuration of the value network in the electricity market and highlights the changes that peer-to-peer trading imposes to the status quo. Through the outcomes of the value network analysis, it assists policy makers to consider the requirements and current market players to reconsider their business models.

Keywords: energy transition; peer-to-peer; smart grid; value network; electricity market; business model; electricity trading; future scenarios; smart cities; business ecosystem (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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