Smart Microgrid Energy Market: Evaluating Distributed Ledger Technologies for Remote and Constrained Microgrid Deployments
| Autor: | Sherrin J. Isaac, Gerhard P. Hancke, Hein S. Venter, Lehlogonolo P. I. Ledwaba |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
blockchain
Edge device Industry 4.0 Computer Networks and Communications Computer science 020209 energy Reliability (computer networking) Raspberry Pi lcsh:TK7800-8360 02 engineering and technology security smart contracts smart microgrid 0202 electrical engineering electronic engineering information engineering Energy market Electrical and Electronic Engineering distributed ledger technology Node (networking) Mobile broadband 020208 electrical & electronic engineering lcsh:Electronics Reliability engineering Industrial Internet of Things performance testing Hardware and Architecture Control and Systems Engineering High availability Signal Processing Microgrid |
| Zdroj: | Electronics Volume 10 Issue 6 Electronics, Vol 10, Iss 714, p 714 (2021) |
| ISSN: | 2079-9292 |
| DOI: | 10.3390/electronics10060714 |
| Popis: | The increasing strain on ageing generation infrastructure has seen more frequent instances of scheduled and unscheduled blackouts, rising reliability on fossil fuel based energy alternatives and a slow down in efforts towards achieving universal access to electrical energy in South Africa. To try and relieve the burden on the National Grid and still progress electrification activities, the smart microgrid model and secure energy trade paradigm is considered—enabled by the Industrial IoT (IIoT) and distributed ledger technologies (DLTs). Given the high availability requirements of microgrid operations, the limited resources available on IIoT devices and the high processing and energy requirements of DLT operations, this work aims to determine the effect of native DLT algorithms when implemented on IIoT edge devices to assess the suitability of DLTs as a mechanism to establish a secure, energy trading market for the Internet of Energy. Metrics such as the node transaction time, operating temperature, power consumption, processor and memory usage are considered towards determining possible interference on the edge node operation. In addition, the cost and time required for mining operations associated with the DLT-enabled node are determined in an effort to predict the cost to end users—in terms of fees payable and mobile data costs—as well as predicting the microgrid’s growth and potential blockchain network slowdown. |
| Databáze: | OpenAIRE |
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