Blockchain-Enabled Energy Marketplace

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The growth of decentralized energy production, especially through solar PV systems in homes and businesses, has introduced the concept of an 'energy prosumer.' This term combines the roles of energy producers and consumers, challenging traditional categorizations. The key factor in this transformation is blockchain technology. By utilizing its encrypted database structure built on consensus, blockchain provides a novel solution for direct energy trading. It serves a wide range of users, including everyday consumers and prosumers, as well as larger energy suppliers and utility companies, ensuring secure and cost-effective energy transactions. This research aims to introduce and apply an Agent-Based Model (ABM) that simulates electricity trade. The goal is to predict household power consumption patterns and validate blockchain procedures. A specially designed multi-agent system, specifically created for Transactive Energy (TE) in Distributed Energy Resources (DER), was developed and tested within the ECCH microgrid, relying on blockchain principles. Emerging concepts like blockchain-driven Local Energy Markets (LEM) suggest the use of auction mechanisms to balance future energy supply and demand. These models require accurate short-term predictions of individual household energy generation and usage. This study focuses on improving the accuracy of household energy forecasts using advanced techniques. It also examines the impact of prediction errors across three different supply scenarios. This research significantly diverges from previous studies that mainly tracked smart meter timelines.

Original languageEnglish
Title of host publicationIECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9798350331820
DOIs
Publication statusPublished - 2023
Event49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore
Duration: 16 Oct 202319 Oct 2023

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
ISSN (Print)2162-4704
ISSN (Electronic)2577-1647

Conference

Conference49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
Country/TerritorySingapore
CitySingapore
Period16/10/2319/10/23

Keywords

  • AI
  • Agent Based Modelling
  • Simulation
  • Solar Energy Trading
  • Transactive Grid

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