scholarly journals Anticipating Distributional Impacts of Peer-to-Peer Energy Trading: Inference From a Realist Review of Evidence on Airbnb

2020 ◽  
Author(s):  
Michael J. Fell
Keyword(s):  
Realist Review ◽  
Energy System ◽  
Peer To Peer ◽  
Individual Choice ◽  
Low Carbon ◽  
Energy Trading ◽  
Race And Gender ◽  
Highly Educated ◽  
Accommodation Sector ◽  
Distributional Impacts

Peer-to-peer (P2P) energy trading – where energy prosumers transact directly between each other – could help enable transition to a low-carbon energy system. If it is to be supported in policy and regulation, it is important to anticipate the distributional impacts (or how it might impact segments of society differently). However, real-world evidence on P2P energy trading is currently extremely limited. To address this challenge in the short- to medium-term, this study aimed to explore what might be learned from the extensive body of research on a comparable offering in the accommodation sector: Airbnb. A realist review approach was employed to maximise transferability of findings, focused on what mechanisms are thought to lead to what distributional outcomes, in what contexts. On the basis of the review, the benefits of selling services in P2P energy trading schemes would be expected to accrue disproportionately to those living in areas with network management challenges, who are younger and more highly educated. The review also raised the prospect of discrimination on the basis of characteristics such as race and gender where there are high levels of individual choice over who to trade with. Recommendations include monitoring, incentivising diversity, anonymization, and limiting trading choices.

scholarly journals Demonstration of Blockchain Based Peer to Peer Energy Trading System with Real-Life Used PHEV and HEMS Charge Control

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7484
Author(s):  
Yuki Matsuda ◽  
Yuto Yamazaki ◽  
Hiromu Oki ◽  
Yasuhiro Takeda ◽  
Daishi Sagawa ◽  
...  
Keyword(s):  
Supply And Demand ◽  
Real Life ◽  
Energy System ◽  
Energy Markets ◽  
Peer To Peer ◽  
Renewable Energy Resources ◽  
Trading System ◽  
Energy Trading ◽  
Demonstration Experiment ◽  
Home Energy Management

To further implement decentralized renewable energy resources, blockchain based peer-to-peer (P2P) energy trading is gaining attention and its architecture has been proposed with virtual demonstrations. In this paper, to further socially implement this concept, a blockchain based peer to peer energy trading system which could coordinate with energy control hardware was constructed, and a demonstration experiment was conducted. Previous work focused on virtually matching energy supply and demand via blockchain P2P energy markets, and our work pushes this forward by demonstrating the possibility of actual energy flow control. In this demonstration, Plug-in Hybrid Electrical Vehicles(PHEVs) and Home Energy Management Systems(HEMS) actually used in daily life were controlled in coordination with the blockchain system. In construction, the need of a multi-tagged continuous market was found and proposed. In the demonstration experiment, the proposed blockchain market and hardware control interface was proven capable of securing and stably transmitting energy within the P2P energy system. Also, by the implementation of multi-tagged energy markets, the number of transactions required to secure the required amount of electricity was reduced.

scholarly journals Application of blockchain in integrated energy system transactions

2020 ◽  
Vol 165 ◽  
pp. 01014
Author(s):  
Jianhua Liu ◽  
Shengbo Sun ◽  
Zheng Chang ◽  
Bo Zhou ◽  
Yongli Wang ◽  
...  
Keyword(s):  
Energy Systems ◽  
Energy System ◽  
Peer To Peer ◽  
Energy Trading ◽  
Integrated Energy Systems ◽  
Blockchain Technology ◽  
Centralized Management ◽  
Trading Model ◽  
Integrated Energy System ◽  
Management Method

Blockchain technology is the underlying technology of Bitcoin, which is fair, transparent and decentralized. The integrated energy system has the characteristics of open interconnection, user-centered and distributed peer-to-peer sharing, and its energy trading model will also be developed centrally to distributed. The characteristics of blockchain technology make it naturally applicable to energy transactions in integrated energy systems. This article first analyzes the characteristics of the integrated energy system market and summarizes the participants in the market. Then, based on the existing research and analysis, a blockchain-based energy transaction architecture is designed, and a weakly centralized management method is introduced. finally, the problems and challenges faced by the application of blockchain in energy transactions are analyzed.

scholarly journals Social impacts of peer-to-peer energy trading: a rapid realist review protocol

2019 ◽  
Author(s):  
Michael James Fell
Keyword(s):  
Realist Review ◽  
Open Science ◽  
Sharing Economy ◽  
Peer To Peer ◽  
Programme Theory ◽  
Energy Trading ◽  
Academic Paper ◽  
Evidence Quality ◽  
Reference Checking ◽  
Rapid Realist Review

This document outlines our approach to conducting a rapid realist review to identify evidence for potential impacts on people and society of peer-to-peer energy trading (and of distributed ledger technology used in this context). Our motivation for the study is to help anticipate who might stand to win or lose (and how and why), inform policy/regulation to help maximize benefits and minimize harm, and identify research gaps. While our focus is in the energy sector, we also plan to draw on evidence (where relevant) from examples of sharing economy models in non-energy sectors. We have already developed and engaged around a provisional programme theory (presented as a set of Context-Mechanism-Outcome statements), which we will develop as the review progresses. We set out where and how we will seek to identify evidence (through online searching, reference checking and calling for evidence). In line with our exploratory and iterative approach, we propose broad inclusion criteria. We will assess evidence quality subjectively on the basis of relevance and rigour for each Context-Mechanism-Outcome group, not at document level. Synthesis will be achieved through developing our programme theory and connecting evidence to it. We will disseminate findings through an academic paper (or papers), one or more policy briefings (with associated engagement events), one or more public blogs, and materials will be openly shared on an ongoing basis through an Open Science Framework page.

Agent-Based Model of a Blockchain Enabled Peer-to-Peer Energy Market: Application for a Neighborhood Trial in Perth, Australia

Smart Cities ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 1072-1099 ◽  
Author(s):  
Jacob G. Monroe ◽  
Paula Hansen ◽  
Matthew Sorell ◽  
Emily Zechman Berglund
Keyword(s):  
Electricity Market ◽  
Energy System ◽  
Peer To Peer ◽  
Energy Market ◽  
Energy Trading ◽  
Agent Based ◽  
Trading Systems ◽  
Market Structures ◽  
Trade Offs ◽  
The Impact

The transfer of market power in electric generation from utilities to end-users spurred by the diffusion of distributed energy resources necessitates a new system of settlement in the electricity business that can better manage generation assets at the grid-edge. A new concept in facilitating distributed generation is peer-to-peer energy trading, where households exchange excess power with neighbors at a price they set themselves. However, little is known about the effects of peer-to-peer energy trading on the sociotechnical dynamics of electric power systems. Further, given the novelty of the concept, there are knowledge gaps regarding the impact of alternative electricity market structures and individual decision strategies on neighborhood exchanges and market outcomes. This study develops an empirical agent-based modeling (ABM) framework to simulate peer-to-peer electricity trades in a decentralized residential energy market. The framework is applied for a case study in Perth, Western Australia, where a blockchain-enabled energy trading platform was trialed among 18 households, which acted as prosumers or consumers. The ABM is applied for a set of alternative electricity market structures. Results assess the impact of solar generation forecasting approaches, battery energy storage, and ratio of prosumers to consumers on the dynamics of peer-to-peer energy trading systems. Designing an efficient, equitable, and sustainable future energy system hinges on the recognition of trade-offs on and across, social, technological, economic, and environmental levels. Results demonstrate that the ABM can be applied to manage emerging uncertainties by facilitating the testing and development of management strategies.

scholarly journals An Efficient Algorithm for Peer-to-Peer Energy Trading Using Blockchain in Microgrid Energy Markets

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Nahid-Ur-Rahman Chowdhury ◽  
Khairul Islam ◽  
Fayazul Hasan
Keyword(s):  
Renewable Energy ◽  
Efficient Algorithm ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Supply And Demand ◽  
Energy System ◽  
Economic Benefits ◽  
Peer To Peer ◽  
Energy Sources ◽  
Energy Trading

Electricity generation from distributed renewable energy sources is strongly increasing worldwide. Due to their intermittency in nature, the large scale integration of these renewable energy sources creates acute challenges to the existing energy system network. Thus, it is highly demanding to secure a reliable balance between energy generation and consumption. To overcome such challenges, peer-to-peer energy trading using blockchains on microgrid networks can play a significant role. In this paper, we present the concept of an efficient algorithm that can be useful for energy trading using blockchain from both the prosumers and consumers end. We also show the detailed outline of the methodology for energy transactions in a comprehensive way. The outcome of this study prove that if implemented properly this methodology can efficiently balance supply and demand locally and provide socio-economic benefits to the participants.

Optimal approaches to manage power system decarbonation

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1447-1452
Author(s):  
Vincent Mazauric ◽  
Ariane Millot ◽  
Claude Le Pape-Gardeux ◽  
Nadia Maïzi
Keyword(s):  
Free Energy ◽  
Linear Programming ◽  
Phase Transitions ◽  
Power System ◽  
Energy System ◽  
Energy Sources ◽  
Low Carbon ◽  
Faraday’S Law ◽  
Optimal Description ◽  
Low Carbon Technologies

To overcome the negative environemental impact of the actual power system, an optimal description of quasi-static electromagnetics relying on a reversible interpretation of the Faraday’s law is given. Due to the overabundance of carbon-free energy sources, this description makes it possible to consider an evolution towards an energy system favoring low-carbon technologies. The management for changing is then explored through a simplified linear-programming problem and an analogy with phase transitions in physics is drawn.

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