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Feather forking as a positive force: incentivising green energy production in a blockchain-based smart grid
Magnani, Antonio; Calderoni, Luca; Palmieri, Paolo
Climate change represents a serious threat to the health of our planet and imposed a discussion upon energy waste and production. In this paper we propose a smart grid architecture relying on blockchain technology aimed at discouraging the production and distribution of non-renewable energy as the one derived from fossil fuel. Our model relies on a reverse application of a recently introduced attack to the blockchain based on chain forking. Our system involves both a central authority and a number of distributed peers representing the stakeholders of the energy grid. This system preserves those advantages derived from the blockchain and it also address some limitations such as energy waste for mining operations. In addition, the reverse attack we rely on allows to mitigate the behavior of a classic blockchain, which is intrinsecally self-regulated, and to trigger a sort of ethical action which penalizes non-renewable energy producers. Blacklisted stakeholders will be induced to provide their transaction with higher fees in order to preserve the selling rate.
Keyword(s): Security and privacy; Computer systems organization; Hardware; Human and societal aspects of security and privacy; Architectures; Power and energy; Economics of security and privacy; Distributed architectures; Energy distribution; Peer-to-peer architectures; Smart grid; BlockChain; Feather forking
Publication Date:
2018
Type: Conference item
Peer-Reviewed: Yes
Language(s): English
Institution: University College Cork
Citation(s): Magnani, A., Calderoni, L. and Palmieri, P. (2018) 'Feather forking as a positive force: incentivising green energy production in a blockchain-based smart grid', CryBlock'18, Proceedings of the 1st Workshop on Cryptocurrencies and Blockchains for Distributed Systems, co-located with ACM MobiSys 2018, Munich, Germany, 15 June, ACM, pp. 99-104. doi: 10.1145/3211933.3211951
Publisher(s): Association for Computing Machinery, ACM
File Format(s): application/pdf
Related Link(s): https://dl.acm.org/citation.cfm?doid=3211933.3211951
First Indexed: 2018-07-11 06:30:42 Last Updated: 2018-07-11 06:30:42