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Journal articles on the topic 'Smart energy trading'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Amini, Ahmad, Norziana Jamil, and Farah Aqilah Bohani. "BLOCKCHAIN-BASED SMART ENERGY TRADING: MOTIVATIONS AND CHALLENGES." COMPUSOFT: An International Journal of Advanced Computer Technology 09, no. 07 (2020): 3743–48. https://doi.org/10.5281/zenodo.15024768.

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The growing population and high demand of renewable energy leads to a decentralized solution to trade energy smartly. In an innovative energy market, consumers and prosumers are able to trade green energy locally and directly to balance the generation and consumption through decentralized community. In this paper, we present a comprehensive review of existing energy trading systems, their motivations and challenges. For this reason, new ICT technologies are investigated to consider their incredible affections on data transparency, energy trading and how energy consumer and producers are connec

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Xue, Feng, Kang Chang, Wei Li, et al. "Blockchain Smart Contract-Enabled Secure Energy Trading for Electric Vehicles." Energies 15, no. 18 (2022): 6733. http://dx.doi.org/10.3390/en15186733.

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In this paper, a blockchain-enabled energy trading method is proposed to deal with the inefficiency and security issues in energy trading for electric vehicles in smart grids. It includes the design of a smart contract and the excitation mechanism of energy sharing. The credit points of each vehicle as a node are considered in the design of the smart contract, which is used to supervise the process of energy trading. A strategy to estimate the credit points of each node and describe the excitation mechanism is illustrated. The connection between the credit points and the probability that a nod

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Khayyat, Manal Mahmoud, and Sami Ben Slama. "Smart Grid 2.0: Modeling Peer-to-Peer Trading Community and Incentives for Prosumers in the Transactive Energy Grid." Engineering, Technology & Applied Science Research 14, no. 2 (2024): 13470–80. http://dx.doi.org/10.48084/etasr.7001.

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Smart Grid 2.0 (SG 2.0) implementation constitutes an additional challenge in the industry and research fields. Energy consumption decreases when producers exchange excess energy consumers, including intelligent consumers, Distributed Generation (DG), such as wind and solar, and Electric Vehicles (EVs). By utilizing Demand Response (DR) based on Real-Time Pricing (RTP), the operation of every device in a smart home can be scheduled. Allowing users to trade energy directly with other energy producers (prosumers) rather than exclusively relying on the grid, peer-to-peer (P2P) energy trading in s

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Damisa, Uyikumhe, Nnamdi I. Nwulu, and Pierluigi Siano. "Towards Blockchain-Based Energy Trading: A Smart Contract Implementation of Energy Double Auction and Spinning Reserve Trading." Energies 15, no. 11 (2022): 4084. http://dx.doi.org/10.3390/en15114084.

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The decentralization of power generation driven by the rise in the adoption of distributed energy resources paves the way for a new paradigm in grid operations. P2P energy trading is beneficial to the grid as well as the connected peers. A blockchain-based smart contract is well suited to transparently facilitate trades between energy consumers and producers without the services of intermediaries. In this paper, Ethereum-based smart contracts that facilitate double energy auction and spinning reserve trading are developed with Solidity, compiled, and deployed within the Remix IDE. Willing ener

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Mahmoud, Marwan, and Sami Ben Slama. "Driving Innovation: Prosumer Incentives in Peer-to-Peer Energy Trading." Engineering, Technology & Applied Science Research 14, no. 3 (2024): 14600–14611. http://dx.doi.org/10.48084/etasr.7367.

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Peer-to-peer energy trading is an innovative idea that overcomes several technological and industrial hurdles. It allows industries and consumers, including knowledgeable prosumers, to trade excess energy with distributed generation sources, such as solar, wind, and electric vehicles, thus promoting a significant reduction in overall energy consumption. Real-Time Pricing (RTP) is increasingly essential in integrating smart home device Demand Response (DR) strategies. RTP improves energy management and enables customers to respond intelligently to price fluctuations. In this vein, this paper pr

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Gururaja H S, Ananya Hebbar, Amisha S Poojary, Asritam Aniruddh Bharadwaj, and Rakshitha B R. "Decentralized Energy Trading for Grids Using Blockchain for Sustainable Smart Cities." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 02 (2024): 134–41. http://dx.doi.org/10.47392/irjaeh.2024.0025.

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Blockchain technology can be used to create a decentralized energy trading system for grids that rely on renewable energy sources. This system would allow individuals and organizations that generate renewable energy, such as solar or wind power, to sell excess energy to others on the grid through a peer-to-peer network. Blockchain has smart contracts that facilitate the transactions and ensure that the energy is exchanged securely and transparently. This type of system can increase the efficiency and flexibility of the grid, and help to improve the acquisition of sustainable energy resources.

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Wang, Hao, Shenglan Ma, Chaonian Guo, Yulei Wu, Hong-Ning Dai, and Di Wu. "Blockchain-Based Power Energy Trading Management." ACM Transactions on Internet Technology 21, no. 2 (2021): 1–16. http://dx.doi.org/10.1145/3409771.

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Distributed peer-to-peer power energy markets are emerging quickly. Due to central governance and lack of effective information aggregation mechanisms, energy trading cannot be efficiently scheduled and tracked. We devise a new distributed energy transaction system over the energy Industrial Internet of Things based on predictive analytics, blockchain, and smart contract technologies. We propose a solution for scheduling distributed energy sources based on the Minimum Cut Maximum Flow theory. Blockchain is used to record transactions and reach consensus. Payment clearing for the actual power c

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Rahman, Mahfuzur, Solaiman Chowdhury, Mohammad Shorfuzzaman, Mohammad Kamal Hossain, and Mohammad Hammoudeh. "Peer-to-Peer Power Energy Trading in Blockchain Using Efficient Machine Learning Model." Sustainability 15, no. 18 (2023): 13640. http://dx.doi.org/10.3390/su151813640.

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The advancement of mircogrids and the adoption of blockchain technology in the energy-trading sector can build a robust and sustainable energy infrastructure. The decentralization and transparency of blockchain technology have several advantages for data management, security, and trust. In particular, the uses of smart contracts can provide automated transaction in energy trading. Individual entities (household, industries, institutes, etc.) have shown increasing interest in producing power from potential renewable energy sources for their own usage and also in distributing this power to the e

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Kajaan, Nor Ashbahani Mohamad, Nurul Hanisa Nor Amidi, Zainal Salam, and Raja Zahilah Raja Mohd Radzi. "Blockchain-Based Smart Contract for P2P Energy Trading in a Microgrid Environment." Journal of Physics: Conference Series 2312, no. 1 (2022): 012020. http://dx.doi.org/10.1088/1742-6596/2312/1/012020.

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Abstract The purpose of this study is to propose a method of peer-to-peer (P2P) energy trading that allow prosumers with energy deficiency to buy energy from prosumers with excess energy in a microgrid system. The proposed method solves the problems associated with lack of trust in P2P energy trading and utilized the blockchain technology that made it impossible to tamper with data. The data is referred as transaction generated by using blockchain. A blockchain based smart contract execute the trading and payment rules without the intermediaries. Thus, the security and fairness of energy tradi

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Son, Ye-Byoul, Jong-Hyuk Im, Hee-Yong Kwon, Seong-Yun Jeon, and Mun-Kyu Lee. "Privacy-Preserving Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids Using Functional Encryption." Energies 13, no. 6 (2020): 1321. http://dx.doi.org/10.3390/en13061321.

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Advanced smart grid technologies enable energy prosumers to trade surplus energy from their distributed renewable energy sources with other peer prosumers through peer-to-peer (P2P) energy trading. In many previous works, P2P energy trading was facilitated by blockchain technology through blockchain’s distributive nature and capacity to run smart contracts. However, the feature that all the data and transactions on a blockchain are visible to all blockchain nodes may significantly threaten the privacy of the parties participating in P2P energy trading. There are many previous works that have a

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Gao, Meizhen. "Blockchain-Enabled Integrated Energy System Trading Model for CCS-P2G-Coupled Operation: Enhancing Energy Trading Efficiency and Carbon Emission Reduction." International Journal of Energy Research 2024 (March 20, 2024): 1–13. http://dx.doi.org/10.1155/2024/2486822.

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The need for sustainable integrated energy systems to mitigate environmental impact is hindered by challenges in fluctuating demand, trading reliability, and trustworthiness. This paper proposes an innovative approach to tackle these challenges by introducing a blockchain-based integrated energy system trading model with smart contracts. It is intricately linked with the operation of carbon capture and storage (CCS) technology and power-to-gas (P2G) equipment. The CCS-P2G-coupled operation principle is first outlined, followed by the presentation of a comprehensive system model. The peer-to-pe

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Afor Avwioroko. "THE INTEGRATION OF SMART GRID TECHNOLOGY WITH CARBON CREDIT TRADING SYSTEMS: BENEFITS, CHALLENGES, AND FUTURE DIRECTIONS." Engineering Science & Technology Journal 4, no. 2 (2023): 33–45. http://dx.doi.org/10.51594/estj.v4i2.1287.

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The integration of smart grid technology with carbon credit trading systems offers a promising path to improve the grid efficiency and stability and reduce greenhouse gas emissions. This paper examines the possible interoperability of smart grid technology and carbon credit trading systems. Smart grid technology, characterized by its advanced monitoring, control, and optimization capabilities, offers the foundation for real-time data collection and analysis. On the other hand, carbon credit trading systems create financial incentives for reducing emissions. By combining these two systems, Nige

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Loganathan, Arun S., Vijayapriya Ramachandran, Angalaeswari Sendraya Perumal, Seshathiri Dhanasekaran, Natrayan Lakshmaiya, and Prabhu Paramasivam. "Framework of Transactive Energy Market Strategies for Lucrative Peer-to-Peer Energy Transactions." Energies 16, no. 1 (2022): 6. http://dx.doi.org/10.3390/en16010006.

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Leading to the enhancement of smart grid implementation, the peer-to-peer (P2P) energy transaction concept has grown dramatically in recent years allowing the end-users to successfully exchange their excess generation and demand in a more profitable way. This paper presents local energy market (LEM) architecture with various market strategies for P2P energy trading among a set of end-users (consumers and prosumers) in a smart residential locality. In a P2P fashion, prosumers/consumers can export/import the available generation/demand in the LEM at a profit relative to utility prices. A common

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Manasa, Prof T. P. "Blockchain-based Energy Trading System." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 3489–95. https://doi.org/10.22214/ijraset.2025.66811.

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Abstract: The traditional energy market suffers from inefficiencies, high transaction costs, and a lack of transparency, often limiting small-scale producers from participating effectively. Blockchain technology offers a decentralized, secure, and transparent solution for peer-to-peer (P2P) energy trading. This paper presents a blockchain-based energy trading platform utilizing smart contracts for automated transactions and ensuring real-time energy tracking. The proposed system enhances trust, eliminates intermediaries, and promotes sustainable energy practices by encouraging participation fr

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Edussuriya, Chathurangi, Umar Marikkar, Subash Wickramasinghe, Upul Jayasinghe, and Janaka Alawatugoda. "Peer-to-Peer Energy Trading through Swarm Intelligent Stackelberg Game." Energies 16, no. 5 (2023): 2434. http://dx.doi.org/10.3390/en16052434.

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The development of smart grids has paved the way for sustainable energy infrastructure to transition towards decentralized energy trading. As intelligent agents, energy sources engage in energy trading based on their energy surplus or deficit. Buyers and sellers (participants) should achieve maximum payoffs in which buyers cut costs and sellers improve their utilities, and the security of sensitive information of smart agents must be guaranteed. This paper provides a blockchain-based energy trading network where intelligent agents can exchange energy in a secure manner, without the interventio

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Zhang, Ke, Yuming Mao, Supeng Leng, et al. "Incentive-Driven Energy Trading in the Smart Grid." IEEE Access 4 (2016): 1243–57. http://dx.doi.org/10.1109/access.2016.2543841.

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Alam, Muhammad Raisul, Marc St-Hilaire, and Thomas Kunz. "Peer-to-peer energy trading among smart homes." Applied Energy 238 (March 2019): 1434–43. http://dx.doi.org/10.1016/j.apenergy.2019.01.091.

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Fu, Qianyu, Jun Zhang, and Yali Guo. "Research on Energy Trading Model of Energy Internet Based on Information Economy Perspective." Frontiers in Business, Economics and Management 6, no. 1 (2022): 181–87. http://dx.doi.org/10.54097/fbem.v6i1.2417.

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In the era of rapid update of big data, smart grids, integrated energy systems and energy Internet are formed under the impetus of ICT technology and the intertwined coupling of various information and energy sources, among which the energy Internet is a product of the deep integration of energy and information, which leads to the improvement of energy resource allocation efficiency under the influence of information interconnection and overturns the traditional energy trading model. In this regard, based on the perspective of information economics, this paper studies how to build an energy tr

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Radhakrishnan, Bharath. "P2P Energy Trading Application In Smart Grids Using Blockchain." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (2021): 614–20. http://dx.doi.org/10.22214/ijraset.2021.38415.

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Abstract: This paper helps one to understand the concept of smart grids, blockchain, and their interaction with one another in a real-world application of the energy sector, specifically in the smart grids. Initially, we will focus on the working of smart grids and compare them with traditional models. Formalize a list of existing gaps in the present technology and solve them with the introduction of blockchain technology as the principle solution. In the current energy distribution system, when a supplier produces electricity from a renewable energy source (RES), the distribution process is h

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Shahzad, Khuram, Sohail Iqbal, and Hamid Mukhtar. "Optimal Fuzzy Energy Trading System in a Fog-Enabled Smart Grid." Energies 14, no. 4 (2021): 881. http://dx.doi.org/10.3390/en14040881.

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With the recent technological advancements, it has become possible to conceive numerous valuable applications for efficient utilization of energy resources in a smart grid. As distributed energy generation and distributed storage systems become cost-effective, trading energy becomes a lucrative alternative for both prosumers and manufacturers. In this paper, we make use of fuzzy logic to propose a system for optimal energy trading in a fog-enabled smart grid set-up. The existing systems in this realm have inherited issues of network latency, computational expensiveness, information availabilit

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Almarzooqi, Ahmed Hassan, Ahmed H. Osman, Mostafa Shabaan, and Mohammed Nassar. "An Exploratory Study of the Perception of Peer-to-Peer Energy Trading within the Power Distribution Network in the UAE." Sustainability 15, no. 6 (2023): 4891. http://dx.doi.org/10.3390/su15064891.

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The introduction of Smart Grid resulted in the development of various applications that are built upon the concept of bi-directional flow of electricity and data. One of the Smart Grids pillars is the Distributed Generation (DG) technologies, where customers turn to be prosumers with power generation capability. Another pillar is the Demand Side Management (DSM), which helps control the energy consumption by changing the power usage slots among other peers. DG and DSM have facilitated the sharing of excess power by customers to the grid, and then to their peers through the grid as a trading ag

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Khatoon, Asma, Piyush Verma, Jo Southernwood, Beth Massey, and Peter Corcoran. "Blockchain in Energy Efficiency: Potential Applications and Benefits." Energies 12, no. 17 (2019): 3317. http://dx.doi.org/10.3390/en12173317.

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Blockchain technology is ready to disrupt nearly every industry and business model, and the energy sector is no exception. Energy businesses across the world have already started exploring the use of blockchain technology in large-scale energy trading systems, peer-to-peer energy trading, project financing, supply chain tracking, and asset management among other applications. Information and Communication Technologies (ICTs) recently started revolutionizing the energy landscape, and now blockchain technology is providing an additional opportunity to make the energy system more intelligent, eff

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Zafar, Bassam, and Sami Ben Slama. "Energy Internet Opportunities in Distributed Peer-to-Peer Energy Trading Reveal by Blockchain for Future Smart Grid 2.0." Sensors 22, no. 21 (2022): 8397. http://dx.doi.org/10.3390/s22218397.

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The Energy Internet (EI) and Smart Grid 2.0 (SG 2.0) concepts are potential challenges in industry and research. The purpose of SG 2.0 and EI is to automate innovative power grid operations. To move from Distribution Network Operators (DSO) to consumer-centric distributed power grid management, the blockchain and smart contracts are applicable. Blockchain technology and integrated SGs will present challenges, limiting the deployment of Distributed Energy Resources (DERs). This review looks at the decentralization of the Smart Grid 2.0 using blockchain technology. Energy trading has increased d

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Garima Gurjar, Mangesh D.Nikose. "Decentralized Energy Trading Framework With Active Pricing Via Blockchain Smart Contracts." Journal of Information Systems Engineering and Management 10, no. 10s (2025): 267–77. https://doi.org/10.52783/jisem.v10i10s.1377.

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With the use of IoT devices and blockchain technologies, consumers can purchase and sell energy straight from the grid instead of going via retailers. Here, existing research proposed a various model but it has several limitations such as scalability, less optimal, and efficiency. Therefore, this research proposed a novel Decentralized Energy Trading Framework via Block-chain Smart Contracts. Initially, we obtain a dataset, which consists of total incoming energy (from producers), total outgoing energy (to consumers), price for incoming energy, and price for outgoing energy. Then, this researc

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Hammouti, Iliass, Adnane Addaim, and Zouhair Guennoun. "Decentralized Energy Trading in Smart Grids: A Blockchain-Based Framework for Efficiency and Transparency." International Journal of Network Security & Its Applications 16, no. 3 (2024): 41–52. http://dx.doi.org/10.5121/ijnsa.2024.16303.

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As the world increasingly adopts renewable energy, the importance of smart grids grows. Integrating renewable sources into the current grid presents technical and economic challenges. Blockchain technology offers a promising solution by enabling decentralized energy trading, allowing efficient exchanges between producers and consumers. This paper proposes a detailed framework for integrating blockchain into the smart grid. The framework includes developing a blockchain-based platform for energy trading, creating smart contracts to manage and automate transactions, and incorporating IoT devices

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Condon, Felipe, Patricia Franco, José M. Martínez, Ali M. Eltamaly, Young-Chon Kim, and Mohamed A. Ahmed. "EnergyAuction: IoT-Blockchain Architecture for Local Peer-to-Peer Energy Trading in a Microgrid." Sustainability 15, no. 17 (2023): 13203. http://dx.doi.org/10.3390/su151713203.

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The widespread adoption of distributed energy resources (DERs) and the progress made in internet of things (IoT) and cloud computing technologies have enabled and facilitated the development of various smart grid applications and services. This study aims to develop and implement a peer-to-peer (P2P) energy trading platform that allows local energy trading between consumers and prosumers within a microgrid which combines IoT and blockchain technologies. The proposed platform comprises an IoT-cloud home energy management system (HEMS) responsible for gathering and storing energy consumption dat

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Singh, Rajesh, Shaik Vaseem Akram, Anita Gehlot, Dharam Buddhi, Neeraj Priyadarshi, and Bhekisipho Twala. "Energy System 4.0: Digitalization of the Energy Sector with Inclination towards Sustainability." Sensors 22, no. 17 (2022): 6619. http://dx.doi.org/10.3390/s22176619.

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The United Nations’ sustainable development goals have emphasized implementing sustainability to ensure environmental security for the future. Affordable energy, clean energy, and innovation in infrastructure are the relevant sustainable development goals that are applied to the energy sector. At present, digital technologies have a significant capability to realize the target of sustainability in energy. With this motivation, the study aims to discuss the significance of different digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), edge computing, blockcha

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Alladi, Tejasvi, Vinay Chamola, Joel J. P. C. Rodrigues, and Sergei A. Kozlov. "Blockchain in Smart Grids: A Review on Different Use Cases." Sensors 19, no. 22 (2019): 4862. http://dx.doi.org/10.3390/s19224862.

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With the integration of Wireless Sensor Networks and the Internet of Things, the smart grid is being projected as a solution for the challenges regarding electricity supply in the future. However, security and privacy issues in the consumption and trading of electricity data pose serious challenges in the adoption of the smart grid. To address these challenges, blockchain technology is being researched for applicability in the smart grid. In this paper, important application areas of blockchain in the smart grid are discussed. One use case of each area is discussed in detail, suggesting a suit

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Ludji, Omrie, Erkata Yandri, Rendy Sidharta, Ayub Timba, Clizardo Amaral, and Ratna Aryati. "Developing a Smart Implementation Framework for Blockchain-Based P2P Renewable Energy Trading in Indonesia: A Qualitative Analysis Approach." Heca Journal of Applied Sciences 3, no. 1 (2025): 63–76. https://doi.org/10.60084/hjas.v3i1.273.

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The shift towards decentralized and sustainable energy frameworks is progressively propelled by innovations in technology and the imperative for energy democratization. Blockchain technology is a viable approach for facilitating peer-to-peer (P2P) energy trading, thereby diminishing dependence on intermediaries while augmenting transparency, security, and efficiency within energy transactions. Nevertheless, the application of blockchain-enabled energy trading continues to be constrained in Indonesia due to regulatory, technical, and economic challenges. This study aims to develop a smart imple

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Aloqaily, Moayad, Ouns Bouachir, Öznur Özkasap, and Faizan Safdar Ali. "SynergyGrids: blockchain-supported distributed microgrid energy trading." Peer-to-Peer Networking and Applications 15, no. 2 (2021): 884–900. http://dx.doi.org/10.1007/s12083-021-01199-y.

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AbstractGrowing intelligent cities is witnessing an increasing amount of local energy generation through renewable energy resources. Energy trade among the local energy generators (aka prosumers) and consumers can reduce the energy consumption cost and also reduce the dependency on conventional energy resources, not to mention the environmental, economic, and societal benefits. However, these local energy sources might not be enough to fulfill energy consumption demands. A hybrid approach, where consumers can buy energy from both prosumers (that generate energy) and also from prosumer of other

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Ahmad, Rana Faheem, Muhammad Siddique, Kashir Riaz, Muhammad Majid Hussain, and MKL Bhatti. "Blockchain based Secure Energy Trading Mechanism for Smart Grid." Pakistan Journal of Engineering and Technology 4, no. 2 (2021): 100–107. http://dx.doi.org/10.51846/vol4iss2pp100-107.

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Increasing trend of renewable energy promoting business opportunity in the field of energy market. This enables prosumers to invest reliably in the field of energy market. Due to exponential decrease in conventional sources the system needs to be hybrid by including Distributed Generations (DGs). Current research is majorly focused on the security of smart grids through blockchain. The practical management of prosumers is not properly considered yet. In this paper, we proposed an efficient algorithm to generate Magnitude of Energy Share (MES) through smart contract for individual prosumer to t

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Misra, Sudip, Samaresh Bera, Tamoghna Ojha, Hussein T. Mouftah, and Alagan Anpalagan. "ENTRUST: Energy trading under uncertainty in smart grid systems." Computer Networks 110 (December 2016): 232–42. http://dx.doi.org/10.1016/j.comnet.2016.09.021.

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Ahmed, Afshaar, Agha Yasir Ali, Mishaal Ahmed, Abdul Lateef Khan, Manzar Ahmed, and Uzma Amin. "Energy Trading in P2P Network by using Blockchain in Smart Grid." VFAST Transactions on Software Engineering 10, no. 4 (2022): 131–44. http://dx.doi.org/10.21015/vtse.v10i4.1283.

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In recent years, the dramatic increase in demand of electricity utilization has introduced various environmental and sustainability concerns for Conventional Energy Grid based on fossil fuels, which driving the global energy manufacturers to adapt new efficient and resilient energy systems. The conventaional Grid is based on centralized system suffer from power losss, theft cases and cannot adopt new power systems properly. Presently the focus of the scientist and researchers is on the Clean Energy resources and Smart Grid, which has potential to address the contemporary problems found in conv

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Merrad, Yaçine, Mohamed Hadi Habaebi, Md Rafiqul Islam, Teddy Surya Gunawan, and Mokhtaria Mesri. "Robust Decentralized Proof of Location for Blockchain Energy Applications Using Game Theory and Random Selection." Sustainability 14, no. 10 (2022): 6123. http://dx.doi.org/10.3390/su14106123.

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To combat the problem of illegal access to a service, several location proof strategies have been proposed in the literature. In blockchain-based decentralized applications, transactions can be issued by IoT nodes or other automated smart devices. Key pair encryption and private key signing have been defined mainly for human identification in blockchain applications, where users are personally and responsibly concerned about the confidentiality of their private key. These methods are not suitable for computing nodes whose private key is implemented in the software they run. Ensuring that trans

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Merrad, Yaçine, Mohamed Hadi Habaebi, Md Rafiqul Islam, et al. "Machine Learning-Blockchain Based Autonomic Peer-to-Peer Energy Trading System." Applied Sciences 12, no. 7 (2022): 3507. http://dx.doi.org/10.3390/app12073507.

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This paper introduces a blockchain-based P2P energy trading platform, where prosumers can trade energy autonomously with no central authority interference. Multiple prosumers can collaborate in producing energy to form a single provider. Clients’ power consumption is monitored using a smart meter that interfaces with an IoT node connected to a blockchain private network. The smart contracts, invoked on the blockchain, enable the autonomous trading interactions between parties and govern accounts behavior within the Ethereum state. The decentralized P2P trading platform utilizes autonomous pay-

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Hu, Jianwen, Yuling Chen, Xiaojun Ren, Yixian Yang, Xiaobin Qian, and Xiaomei Yu. "Blockchain-Enhanced Fair and Efficient Energy Trading in Industrial Internet of Things." Mobile Information Systems 2021 (November 17, 2021): 1–13. http://dx.doi.org/10.1155/2021/7397926.

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As the technical support of the industrial Internet of Things, blockchain technology has been widely used in energy trading, data transactions, and Internet of Vehicles. However, most of the existing energy trading models only address the transaction security and transaction privacy issues that arise in the energy trading process, ignoring the fairness of resource allocation and transaction equity in the trading process. In order to tackle those problems, an energy trading scheme called HO-TRAD is proposed in this paper to improve the efficiency of model trading while ensuring the fairness of

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Li, Yan, Yuying Gong, Mingbo Wu, Yujia Li, and Wenguo Wang. "Applications of blockchain technologies in artificial electricity market settlement and clearing." International Journal of Low-Carbon Technologies 19 (2024): 2153–61. http://dx.doi.org/10.1093/ijlct/ctae174.

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Abstract Blockchain technology is demonstrating vast potential in the realm of distributed energy transactions. This article employs the Ethereum platform to architect an energy trading settlement framework. By incorporating whitelists, authorization mechanisms, and dedicated energy tokens, transactions are rendered more secure and reliable, ensuring the openness, transparency, traceability, and immutability of transaction information. The proposed transaction settlement mechanism automatically updates users' energy imbalances and levies corresponding charges, thereby ensuring strict adherence

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Din, Jalalud, and Hongsheng Su. "Blockchain-Enabled Smart Grids for Optimized Electrical Billing and Peer-to-Peer Energy Trading." Energies 17, no. 22 (2024): 5744. http://dx.doi.org/10.3390/en17225744.

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This research investigates the integration of blockchain technology into smart grids, focusing on optimizing both electrical billing and peer-to-peer energy trading between producers and consumers. Using blockchain smart contracts, the system automates and secures energy consumption recording, bill calculation, payment processing, and energy transactions. In the electrical billing framework, a blockchain-based approach was developed to model these functionalities, utilizing an EnergyBilling smart contract to calculate bills and an EnergyPayment smart contract to ensure payment accuracy. Valida

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Ahmed, Mohamed, and Young-Chon Kim. "Energy Trading with Electric Vehicles in Smart Campus Parking Lots." Applied Sciences 8, no. 10 (2018): 1749. http://dx.doi.org/10.3390/app8101749.

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Energy trading with electric vehicles provides opportunities to eliminate the high peak demand for electric vehicle charging while providing cost saving and profits for all participants. This work aims to design a framework for local energy trading with electric vehicles in smart parking lots where electric vehicles are able to exchange energy through buying and selling prices. The proposed architecture consists of four layers: the parking energy layer, data acquisition layer, communication network layer, and market layer. Electric vehicles are classified into three different types: seller ele

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Ghorpade, Yash. "A Comprehensive Review on Renewable Energy Trading." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 1427–29. http://dx.doi.org/10.22214/ijraset.2023.56778.

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Abstract: The problem we are facing is how to efficiently use renewable energy sources like solar and wind, which are sometimes unpredictable. Current energy systems struggle to handle this unpredictability, which can lead to wasted energy and more pollution. There is also a lack of trust and transparency in the energy market. The effective tracking and management of renewable energy present complex challenges. Traditional energy tracking systems often lack transparency, security and trust among stakeholders, hindering the realization of a fully sustainable energy ecosystem. To fix these issue

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Kelvin, Edem Bassey, Anas Rajput Shahab, and Oyewale Kabir. "Peer-to-peer energy trading: Innovations, regulatory challenges, and the future of decentralized energy systems." World Journal of Advanced Research and Reviews 24, no. 2 (2024): 172–86. https://doi.org/10.5281/zenodo.15074623.

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Peer-to-peer (P2P) energy trading represents a transformative approach to energy distribution, where consumers, referred to as prosumers, generate and exchange electricity directly with one another. This decentralized model promotes local generation and consumption balancing, reducing reliance on centralized grids and encouraging the use of renewable energy. The development of platforms and technologies, such as blockchain, smart contracts, and Internet of Things (IoT)-)-enabled devices, has enabled secure, transparent, and automated transactions. These innovations facilitate real-time monitor

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Fu, Shengcheng, Yaxin Tan, and Zhiyu Xu. "Blockchain-Based Renewable Energy Certificate Trade for Low-Carbon Community of Active Energy Agents." Sustainability 15, no. 23 (2023): 16300. http://dx.doi.org/10.3390/su152316300.

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The future distribution grid is a peer-to-peer (P2P) community formed by a large number of active energy agents (AEAs), and renewable energy certificate (REC) trading is an efficient way to realize a low-carbon AEA community. AEAs can trade not only electricity but also RECs among themselves to economically and efficiently meet the renewable portfolio standard (RPS) requirements. Aiming to lower the market barrier and increase the trading benefits for market participants, this paper proposes a blockchain-based renewable energy certificate (BCREC) that supports divisible and multiple transactio

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Alam, Muhammad Raisul, Marc St-Hilaire, and Thomas Kunz. "An optimal P2P energy trading model for smart homes in the smart grid." Energy Efficiency 10, no. 6 (2017): 1475–93. http://dx.doi.org/10.1007/s12053-017-9532-5.

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Gregoratti, David, and Javier Matamoros. "Distributed energy trading: the multiple-microgrid case." IEEE Transactions on Industrial Electronics 62, no. 4 (2015): 2551–59. https://doi.org/10.5281/zenodo.44350.

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In this paper, a distributed convex optimization framework is developed for energy trading between islanded microgrids. More specifically, the problem consists of several islanded microgrids that exchange energy flows by means of an arbitrary topology. Due to scalability issues and in order to safeguard local information on cost functions, a subgradient-based cost minimization algorithm that converges to the optimal solution in a practical number of iterations and with limited communication overhead is proposed. Furthermore, this approach allows for a very intuitive economics interpretation th

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Sousa-Dias, Daniel, Daniel Amyot, Ashkan Rahimi-Kian, and John Mylopoulos. "Enhancing Trust in Transactive Energy with Individually Linkable Pseudonymous Trading Using Smart Contracts." Energies 17, no. 14 (2024): 3568. http://dx.doi.org/10.3390/en17143568.

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The transactive energy market (TEM) is a recent development in energy management that enables prosumers to trade directly, promising many environmental and economic benefits. Prosumer trading necessitates sharing information to facilitate transactions. Additionally, many TEMs propose using blockchains to manage auctions and store transactions. These facts introduce privacy concerns: consumption data, trading history, and other identifying information pose risks to users if leaked. Anonymity by trading under a pseudonym is commonly presented as a solution; however, this creates risks for market

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Silva, Fabio, and Brian O’Regan. "An Innovative Smart Grid Framework for Integration and Trading." E3S Web of Conferences 294 (2021): 02007. http://dx.doi.org/10.1051/e3sconf/202129402007.

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Smart Grids (SGs) are at the forefront of the renewable resources transformative change for power generation. Due to its decentralised energy generation approach and potential reduction of the cost of power, its relevance for the energy sector is insurmountable. However, new business models and processes are necessary, and they come with integration, implementation, and operation-specific challenges. This work offers a broad analysis of SG’ main architectural aspects concerning security issues, integration bottlenecks and standardisation shortcomings in the development of an efficient platform

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Ezugwu, Ernest O., Samuel O. Okozi, Okonkwo S. Hilary, Edet G. Godwin, Ezekiel G. Nwibo, and Kufre Esenowo Jack. "Decentralized energy trading systems for microgrids using blockchain and smart contract technologies." Journal of the Ghana Institution of Engineering (JGhIE) 24, no. 3 (2024): 41–50. https://doi.org/10.56049/jghie.v24i3.173.

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Blockchain technology, smart contract and microgrid systems have facilitated innovations and breakthroughs in the electricity industry. The once bundled electricity market dominated by a few key players is now gradually becoming unbundled to a more consumer-centric market due to these new technologies. To facilitate the use of community microgrids, this study develops a new trend in peer-to-peer energy trading. In this work, a model for a smart microgrid system, a decentralized energy trading platform based on blockchain, and smart contract technologies is proposed, considering an islanded com

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Rehman, Ubaid ur. "Optimal Energy Management Algorithm for Smart Cities Using Online Energy Trading Framework." Electric Power Components and Systems 48, no. 14-15 (2020): 1660–72. http://dx.doi.org/10.1080/15325008.2020.1857474.

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Huang, Zhaoxiong, Zhenhao Li, Chun Sing Lai, et al. "A Novel Power Market Mechanism Based on Blockchain for Electric Vehicle Charging Stations." Electronics 10, no. 3 (2021): 307. http://dx.doi.org/10.3390/electronics10030307.

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This work presents a novel blockchain-based energy trading mechanism for electric vehicles consisting of day-ahead and real-time markets. In the day-ahead market, electric vehicle users submit their bidding price to participate in the double auction mechanism. Subsequently, the smart match mechanism will be conducted by the charging system operator, to meet both personal interests and social benefits. After clearing the trading result, the charging system operator uploads the trading contract made in the day-ahead market to the blockchain. In the real-time market, the charging system operator

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Yoo, Yoon-Sik, Seung Hyun Jeon, S. H. Shah Newaz, Il-Woo Lee, and Jun Kyun Choi. "Energy Trading among Power Grid and Renewable Energy Sources: A Dynamic Pricing and Demand Scheme for Profit Maximization." Sensors 21, no. 17 (2021): 5819. http://dx.doi.org/10.3390/s21175819.

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With the technical growth and the reduction of deployment cost for distributed energy resources (DERs), such as solar photovoltaic (PV), energy trading has been recently encouraged to energy consumers, which can sell energy from their own energy storage system (ESS). Meanwhile, due to the unprecedented rise of greenhouse gas (GHG) emissions, some countries (e.g., Republic of Korea and India) have mandated using a renewable energy certificate (REC) in energy trading markets. In this paper, we propose an energy broker model to boost energy trading between the existing power grid and energy consu

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