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Towards Efficient Privacy and Trust in Decentralized Blockchain-Based Peer-to-Peer Renewable Energy Marketplace
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0001-5458-5241
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0001-8453-447x
Ericsson Research, Sweden.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0003-4071-4596
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2023 (English)In: Sustainable Energy, Grids and Networks, E-ISSN 2352-4677, Vol. 35, article id 101146Article in journal (Refereed) Published
Abstract [en]

Renewable energy sources are becoming increasingly important as a substitute for fossil energy production. However, distributed renewable energy production faces several challenges regarding trading and management, such as inflexible pricing models and inaccurate green consumption information. A decentralized peer-to-peer (P2P) electricity marketplace may address these challenges. It enables prosumers to market their self-produced electricity. However, such a marketplace needs to guarantee that the transactions follow market rules and government regulations, cannot be manipulated, and are consistent with the generated electricity. One of the ways to provide these guarantees is to leverage blockchain technology.

This work describes a decentralized blockchain-based P2P energy marketplace addressing privacy, trust, and governance issues. It uses a private permissioned blockchain Hyperledger Fabric (HF) and its smart contracts to perform energy trading settlements. The suggested P2P marketplace includes a particular regulator actor acting as a governmental representative overseeing marketplace operations. In this way, the suggested P2P marketplace can address the governance issues needed in electricity marketplaces. Further, the proposed marketplace ensures actors’ data privacy by employing HF’s private data collections while preserving the integrity and auditability of all operations. We present an in-depth performance evaluation and provide insights into the security and privacy challenges emerging from such a marketplace. The results demonstrate that partial centralization by the applied regulator does not limit the P2P energy trade settlement execution. Blockchain technology allows for automated marketplace operations enabling better incentives for prosumer electricity production. Finally, the suggested marketplace preserves the user’s privacy when P2P energy trade settlements are conducted.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 35, article id 101146
Keywords [en]
Renewable Energy Marketplace, Blockchain Technology, Peer-To-Peer Energy Trading, Hyperledger Fabric, Data Privacy
National Category
Computer Sciences Energy Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:bth-24766DOI: 10.1016/j.segan.2023.101146ISI: 001068745600001OAI: oai:DiVA.org:bth-24766DiVA, id: diva2:1764173
Part of project
Symphony – Supply-and-Demand-based Service Exposure using Robust Distributed Concepts, Knowledge FoundationAvailable from: 2023-06-08 Created: 2023-06-08 Last updated: 2023-10-18Bibliographically approved
In thesis
1. Efficient Design of Decentralized Privacy and Trust in Distributed Digital Marketplaces
Open this publication in new window or tab >>Efficient Design of Decentralized Privacy and Trust in Distributed Digital Marketplaces
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The aim of this thesis is to advance the knowledge on the efficient design and evaluation of distributed marketplaces with an emphasis on trust and privacy. Distributed systems are an integral part of today's computing infrastructures, enabling multiple nodes to work towards a common goal. Although distributed, most of today's computational systems are still built with a centralized architecture, which assumes complete governance by a single organization. In the case of centralized marketplaces, the correct trade execution guarantees, \ie digital trust, and data privacy are provided centrally, containing all processes and operations within a single organization's boundaries. This puts the marketplace operator in a prime position to govern trade settlement conditions. However, trust issues are raised if more than one organization has to govern the marketplace. In such a case, trust and privacy are decentralized, and control is distributed among all organizations which are part of the marketplace system. Thus, a decentralized marketplace requires a robust and secure consensus mechanism, which enables digital trust while allowing organizations to process and store private data for further usage in trade settlements. 

This thesis investigates both centralized and decentralized marketplace architectures applied to use cases of AI artifacts and renewable energy trading. It begins with a study of a marketplace for Artificial Intelligence (AI) artifacts where multiple organizations collaborate on AI pipeline execution. The study defines a Secure Virtual Premise, which enables AI pipeline execution in a centralized marketplace governed by a trusted third party. The thesis continues with a survey of the telecommunication services marketplaces, where both centralized and decentralized architectures are discussed. In addition, the survey provides an in-depth investigation of blockchain technology as a main trust-enabling platform, providing distributed storage and data assurance to all processes in a decentralized marketplace. Having mapped the state-of-the-art, the research shifts towards an in-depth investigation of blockchain-based decentralized renewable energy marketplaces. The main aim of such a marketplace is to incentivize the widespread adoption of renewable energy sources, resulting in the decarbonization of electricity distribution systems. The designed marketplace enables automation and trusted execution of peer-to-peer (P2P) energy trade settlements in decentralized systems while preserving users' data privacy. Furthermore, the marketplace is aligned with the data and P2P energy trade regulations. The studies provide an in-depth requirements definition, system architecture, implementation, and performance evaluation of marketplaces based on two major blockchain platforms. The final study of this thesis provides the improvements towards the renewable energy marketplace model aiming at an enhancement of trust, privacy, and scalability.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2023
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 2023:13
National Category
Computer Sciences Energy Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:bth-24770 (URN)978-91-7295-465-6 (ISBN)
Public defence
(English)
Supervisors
Available from: 2023-06-16 Created: 2023-06-08 Last updated: 2023-09-07Bibliographically approved

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Tkachuk, Roman-ValentynIlie, DragosKebande, Victor R.Tutschku, Kurt

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