Blockchain-Based Scalable and Tamper-Evident Solution for Registering Energy Data.
Blockchain
imbalances settlement in energy markets
off-chain and on-chain energy data storage
second tier scalable solution
smart energy grid
tamper-evident
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
10 Jul 2019
10 Jul 2019
Historique:
received:
05
06
2019
revised:
27
06
2019
accepted:
05
07
2019
entrez:
13
7
2019
pubmed:
13
7
2019
medline:
13
7
2019
Statut:
epublish
Résumé
Nowadays, it has been recognized that blockchain can provide the technological infrastructure for developing decentralized, secure, and reliable smart energy grid management systems. However, an open issue that slows the adoption of blockchain technology in the energy sector is the low scalability and high processing overhead when dealing with the real-time energy data collected by smart energy meters. Thus, in this paper, we propose a scalable second tier solution which combines the blockchain ledger with distributed queuing systems and NoSQL (Not Only SQL database) databases to allow the registration of energy transactions less frequently on the chain without losing the tamper-evident benefits brought by the blockchain technology. At the same time, we propose a technique for tamper-evident registration of smart meters' energy data and associated energy transactions using digital fingerprinting which allows the energy transaction to be linked hashed-back on-chain, while the sensors data is stored off-chain. A prototype was implemented using Ethereum and smart contracts for the on-chain components while for the off-chain components we used Cassandra database and RabbitMQ messaging broker. The prototype proved to be effective in managing a settlement of energy imbalances use-case and during the evaluation conducted in simulated environment shows promising results in terms of scalability, throughput, and tampering of energy data sampled by smart energy meters.
Identifiants
pubmed: 31295826
pii: s19143033
doi: 10.3390/s19143033
pmc: PMC6679180
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Horizon 2020 Framework Programme
ID : 774478
Références
Nature. 2017 Aug 9;548(7666):158
pubmed: 28796209
Sensors (Basel). 2018 Jan 09;18(1):null
pubmed: 29315250