scholarly journals Trading solar energy within the neighborhood: field implementation of a blockchain-based electricity market

2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Anselma Wörner ◽  
Arne Meeuw ◽  
Liliane Ableitner ◽  
Felix Wortmann ◽  
Sandro Schopfer ◽  
...  
Keyword(s):  
Literature Review ◽  
Electricity Market ◽  
Large Scale ◽  
Energy Markets ◽  
Power Markets ◽  
Distributed Energy ◽  
Market Structures ◽  
Blockchain Technology ◽  
The Status ◽  
Technical Specifications

Abstract Due to environmental and resiliency benefits, distributed energy resources (DER) are a potential solution for meeting future electricity demand, but their integration into centralized power markets on the large scale is challenging. Many practitioners argue that blockchain technology can create new market structures for DER like local peer-to-peer energy markets which foster renewable generation. To get an understanding of the status quo of the research on blockchain-based energy exchange, we conducted a systematic literature review on the existing academic articles and industry projects. This article describes the design and technical specifications of the first real blockchain-based electricity market in Switzerland derived from this literature review and outlines the implementation of this market in the real world. The findings provide valuable guidelines for the integration of DER into future sustainable energy markets.

scholarly journals Feasibility Conditions for Demonstrative Peer-to-Peer Energy Market

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7418
Author(s):  
Reo Kontani ◽  
Kenji Tanaka ◽  
Yuji Yamada
Keyword(s):  
Power Grid ◽  
Energy Markets ◽  
Peer To Peer ◽  
Lower State ◽  
Distributed Energy ◽  
Market Mechanisms ◽  
Blockchain Technology ◽  
Advantageous Position ◽  
Data Source ◽  
Photovoltaic Generators

Distributed energy resources (DERs) play an indispensable role in mitigating global warming. The DERs require flexibility owing to the uncertainty of their power output when connected to the power grid. Recently, blockchain technology has actualized peer-to-peer (P2P) energy markets, promoting efficient and resilient flexibility in the power grid. This study aimed to extract insights about the contribution of the P2P energy markets to ensuring flexibility through analyzing transaction data. The data source was a demonstration project regarding the P2P energy markets conducted from 2019 to 2020 in Urawa-Misono District, Japan. The participants in the project were photovoltaic generators (PVGs), convenience stores (CSs), and residences equipped with battery storage as the only flexibility in the market. We quantitatively analyzed the prices and volumes ordered or transacted by each participant. The execution prices purchased by the residences were lower than those purchased by CSs; the differences between execution prices and order prices of the residences were narrower than those of PVGs and CSs; the lower state-of-charge (SoC) in the storage battery induced the higher purchasing prices. Thus, P2P energy markets, where holding flexibility resulted in the advantageous position, can promote installing flexibility through market mechanisms.

scholarly journals Re-Designing GB’s Electricity Market Design: A Conceptual Framework Which Recognises the Value of Distributed Energy Resources

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1124
Author(s):  
Thomas Pownall ◽  
Iain Soutar ◽  
Catherine Mitchell
Keyword(s):  
Electricity Market ◽  
Large Scale ◽  
Market Design ◽  
Geographical Area ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Wholesale Market ◽  
Efficient Operation ◽  
Net Zero

The design of electricity markets determines the technologies, services and modes of operation that can access value, consequently shaping current and future electricity landscapes. This paper highlights that the efficacy of Great Britain’s electricity market design in facilitating net zero is inadequate and must be reconfigured. The rules of the current electricity market design are remnants of an electricity sector dominated by large-scale, centralised, fossil fuel technologies. Therefore, routes to market for the provision of necessary services to support net zero, not least flexibility, are largely inaccessible for distributed energy resources and, despite their benefits to the system, are thus undervalued. Based upon a review and consolidation of 30 proposed electricity market designs from liberalised electricity sectors, this paper proposes a new electricity market design for Great Britain. This design is presented alongside a new institutional framework to aid in the efficient operation of the market. Specifically, this paper proposes a new local balancing and coordinating market located at each grid supply point (the transmission and distribution interface). This is realised through the implementation of a distributed locational marginal pricing structure which is governed by the evolution of the current distributed network operator, known as the distributed service provider (DSP). The DSP also operates a local balancing and ancillary market for their geographical area. The wholesale market is reconfigured to coordinate with these new local markets and to harmonise the actors across the distribution and transmission network.

scholarly journals Integrated Energy Transaction Mechanisms Based on Blockchain Technology

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2412 ◽  
Author(s):  
Shengnan Zhao ◽  
Beibei Wang ◽  
Yachao Li ◽  
Yang Li
Keyword(s):  
Demand Response ◽  
Electricity Market ◽  
Rapid Development ◽  
Market Model ◽  
Distributed Energy ◽  
Energy Internet ◽  
Market Participants ◽  
Blockchain Technology ◽  
Call Auction ◽  
Two Stages

With the rapid development of distributed renewable energy (DRE), demand response (DR) programs, and the proposal of the energy internet, the current centralized trading of the electricity market model is unable to meet the trading needs of distributed energy. As a decentralized and distributed accounting mode, blockchain technology fits the requirements of distributed energy to participate in the energy market. Corresponding to the transaction principle, a blockchain-based integrated energy transaction mechanism is proposed, which divides the trading process into two stages: the call auction stage and the continues auction stage. The transactions among the electricity and heat market participants were used as examples to explain the details of the trading process. Finally, the smart contracts of the transactions were designed and deployed on the Ethereum private blockchain site to demonstrate the validity of the proposed transaction scheme.

scholarly journals MARKET POWER IN POWER MARKETS: THE CASE OF FRENCH WHOLESALE ELECTRICITY MARKET

2015 ◽  
Vol 21 (2) ◽  
Author(s):  
SOPHIE MERITET ◽  
THAO PHAM
Keyword(s):  
Literature Review ◽  
Market Power ◽  
Electricity Market ◽  
Peak Load ◽  
Power Market ◽  
Power Markets ◽  
Wholesale Market ◽  
Future Evolution ◽  
Data Framework ◽  
Wholesale Electricity Market

<p class="ESRBODY">The French wholesale market is set to expand in the next few years under European pressures and national decisions. In this paper, we investigate the performance of the French wholesale power market to examine whether or not the equilibrium outcomes are competitive. After a literature review on the different existing models, an extension of the Bresnahan - Lau (1982) method in panel data framework is employed with hourly dataset during 2009-2012 on the French wholesale market. The model-based results suggest that though market power is found statistically significant in several peak-load hours, it stays at very low level. On average, no market power is exercised over the examined period. These results correspond with the extremely regulated wholesale power market in France. It is of high interest given the future evolution of the French wholesale market which will be among the biggest in Europe in 2016 after the end of regulated tariffs for all firms.</p>

scholarly journals Multiagent Simulation of Demand Flexibility Integration in Local Energy Markets

2021 ◽  
Vol 239 ◽  
pp. 00010
Author(s):  
Tiago Pinto ◽  
Nathalia Boeno ◽  
Zita Vale ◽  
Everthon Sica
Keyword(s):  
Distributed Generation ◽  
Electricity Market ◽  
Energy Systems ◽  
Energy Markets ◽  
Primary Sources ◽  
Local Energy ◽  
Multiagent Simulation ◽  
Market Structures ◽  
Power And Energy Systems ◽  
Power And Energy

Overcoming the issues associated with the variability of renewable generation has become a constant challenge in power and energy systems. The use of load flexibility is one of the most promising ways to face it. Suitable ways to incorporate flexibility in the electricity market, in addition to the already challenging integration of distributed generation primary sources, are therefore crucial. The integration of prosumers and consumers flexibility in the market is, however, not straightforward, as current wholesale and retail market structures are not prepared to deal with the current and future needs of the system. Several models for local energy markets have been studied and experimented; but there it is still not clear what is the most efficient way to integrate the dynamic participation of demand flexibility in this type of local markets.

Psychological Research Literature Review Canvas

2020 ◽  
Author(s):  
Quang Ngoc Nguyen
Keyword(s):  
Literature Review ◽  
Research Process ◽  
Psychological Research ◽  
Research Literature ◽  
Status Quo ◽  
Chaotic Process ◽  
Psychological Construct ◽  
The Status ◽  
Guiding Questions

Without a guideline or structure, conducting a literature review on a psychological construct might become a chaotic process . This canvas was built based on the author's experience in order to help psychological researchers classify, organize, and summarize the information relating to the psychological construct of interest into several essential aspects including definition, classification, measurement, sample, predictors and outcomes, mediators and moderators, interventions, and theories. For each aspect, there are some guiding questions which are expected to help researcher decice which information should be focused while examining scientific documents. The completely filled canvas should depict the status quo of the research on the psychological construct of interest, facilitating the research process.

Applications of blockchain in healthcare (Preprint)

2020 ◽  
Author(s):  
Pranav C
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Review Paper ◽  
New Technology ◽  
Personal Identification ◽  
Healthcare Industry ◽  
Healthcare Organizations ◽  
Paper Briefly ◽  
Blockchain Technology ◽  
Audit Trails

UNSTRUCTURED The word blockchain elicits thoughts of cryptocurrency much of the time, which does disservice to this disruptive new technology. Agreed, bitcoin launched in 2011 was the first large scale implementation of blockchain technology. Also, Bitcoin’s success has triggered the establishment of nearly 1000 new cryptocurrencies. This again lead to the delusion that the only application of blockchain technology is for the creation of cryptocurrency. However, the blockchain technology is capable of a lot more than just cryptocurrency creation and may support such things as transactions that require personal identification, peer review, elections and other types of democratic decision-making and audit trails. Blockchain exists with real world implementations beyond cryptocurrencies and these solutions deliver powerful benefits to healthcare organizations, bankers, retailers and consumers among others. One of the areas where blockchain technology can be used effectively is healthcare industry. Proper application of this technology in healthcare will not only save billions of money but also will contribute to the growth in research. This review paper briefly defines blockchain and deals in detail the applications of blockchain in various areas particularly in healthcare industry.

Investigating Diseases and Chemicals in COVID-19 Literature with Text Mining (Preprint)

2020 ◽  
Author(s):  
Amir Karami ◽  
Brandon Bookstaver ◽  
Melissa Nolan
Keyword(s):  
Text Mining ◽  
Literature Review ◽  
Topic Modeling ◽  
Large Scale ◽  
Clinical Manifestations ◽  
International Health ◽  
Research Papers ◽  
Strategic Plans ◽  
Funding Agencies ◽  
The Relationship

BACKGROUND The COVID-19 pandemic has impacted nearly all aspects of life and has posed significant threats to international health and the economy. Given the rapidly unfolding nature of the current pandemic, there is an urgent need to streamline literature synthesis of the growing scientific research to elucidate targeted solutions. While traditional systematic literature review studies provide valuable insights, these studies have restrictions, including analyzing a limited number of papers, having various biases, being time-consuming and labor-intensive, focusing on a few topics, incapable of trend analysis, and lack of data-driven tools. OBJECTIVE This study fills the mentioned restrictions in the literature and practice by analyzing two biomedical concepts, clinical manifestations of disease and therapeutic chemical compounds, with text mining methods in a corpus containing COVID-19 research papers and find associations between the two biomedical concepts. METHODS This research has collected papers representing COVID-19 pre-prints and peer-reviewed research published in 2020. We used frequency analysis to find highly frequent manifestations and therapeutic chemicals, representing the importance of the two biomedical concepts. This study also applied topic modeling to find the relationship between the two biomedical concepts. RESULTS We analyzed 9,298 research papers published through May 5, 2020 and found 3,645 disease-related and 2,434 chemical-related articles. The most frequent clinical manifestations of disease terminology included COVID-19, SARS, cancer, pneumonia, fever, and cough. The most frequent chemical-related terminology included Lopinavir, Ritonavir, Oxygen, Chloroquine, Remdesivir, and water. Topic modeling provided 25 categories showing relationships between our two overarching categories. These categories represent statistically significant associations between multiple aspects of each category, some connections of which were novel and not previously identified by the scientific community. CONCLUSIONS Appreciation of this context is vital due to the lack of a systematic large-scale literature review survey and the importance of fast literature review during the current COVID-19 pandemic for developing treatments. This study is beneficial to researchers for obtaining a macro-level picture of literature, to educators for knowing the scope of literature, to journals for exploring most discussed disease symptoms and pharmaceutical targets, and to policymakers and funding agencies for creating scientific strategic plans regarding COVID-19.

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