Related references
Note: Only part of the references are listed.
Article
Computer Science, Hardware & Architecture
Yuling Chen et al.
Summary: This paper proposes a distributed energy trading scheme based on consortium blockchain and game theory. By constructing a peer-to-peer trading platform and designing a game theory-based energy transaction matching mechanism, secure and efficient energy trading can be achieved in distributed scenarios.
COMPUTER STANDARDS & INTERFACES
(2023)
Article
Engineering, Electrical & Electronic
Longze Wang et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Xiaodi Wang et al.
Summary: The use of blockchain technology in the energy trading market enables almost real-time, peer-to-peer transactions that enhance energy system flexibility, protect user privacy, and trace transactions. However, integrating blockchain with energy trading is challenging and requires investigation into the feasibility of the business model, blockchain configuration, and physical limitations. This study leverages a permissioned Hyperledger Fabric blockchain to implement real-world energy trading applications in a smart community. A near-real-time bilateral trading scheme is designed to achieve supply-demand balance within power network limits through direct peer-to-peer negotiation. The study also demonstrates the specific processes of establishing the Hyperledger Fabric blockchain and creating smart contracts for system initialization, registration, negotiation, trading, balancing, and settlement. Performance metrics such as execution time, latency, and throughput are benchmarked to analyze feasibility and scalability in real-world applications. The results confirm the feasibility of the proposed Hyperledger Fabric-assisted energy trading platform for future scalable peer-to-peer trading.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Thermodynamics
Bin Zhang et al.
Summary: This study proposes a distributed control scheme for the bottom-up architecture of the Energy Internet, utilizing a model-free/data-driven multiagent deep reinforcement learning method. An attention mechanism is added to the centralized critic to accelerate learning speed, and model predictive control is used to determine optimal power dispatching between energy routers and the main grid.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Construction & Building Technology
X. J. Luo
Summary: This study proposes an integrated passive and active retrofitting approach to achieve minimum whole-life carbon emissions. By optimizing the design and operation, a set of retrofitting options can be identified to achieve overall optimal economic, energy, and environmental performance. Test results show that adopting this retrofitting strategy can significantly reduce costs, carbon emissions, and energy usage.
ENERGY AND BUILDINGS
(2023)
Article
Engineering, Electrical & Electronic
Md Moniruzzaman et al.
Summary: Peer-to-peer energy trading is a way for smart grid-connected parties to trade renewable energy among themselves, aimed at addressing supply-demand imbalances during peak hours. However, the lack of secure, efficient, and transparent systems that incentivize users is a major challenge. This paper proposes a novel system utilizing cooperative game theory and blockchain technology to encourage users to maximize profit and trade energy securely. Through theoretical analysis and simulation experiments, the system's effectiveness and robustness are demonstrated, achieving a 6.5% improvement in prosumers' financial benefits compared to the baseline model.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Xiaojun Luo et al.
Summary: Building retrofitting is a powerful approach to enhance building energy performance by optimizing the design configuration and operating plan of retrofitting energy devices. It aims to minimize overall life-cycle energy consumption and address climate and environmental challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Valery Stennikov et al.
Summary: The creation of intelligent integrated energy systems is a promising alternative to traditional energy systems, but faces challenges in balancing centralized and distributed energy generation. The multi-agent approach is used to model and optimize the interaction between the two.
Article
Construction & Building Technology
X. J. Luo et al.
Summary: This study develops a novel life cycle optimisation strategy to consider the impacts of climate change on building energy performance and evaluates the performance of retrofitting measures. The research finds that there is a significant discrepancy between optimal retrofitting solutions determined using current and future weather conditions, leading to over- or under-estimation of cost, energy, and carbon emissions.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
X. J. Luo
Summary: This study proposes an integrated design process to achieve life-cycle net-zero energy and carbon emissions through optimal retrofitting solutions. The innovation lies in maximizing lifetime payback cost by selecting appropriate installation areas or capacities of each renewable energy device. By adopting a real-world office building as a case study and demonstrating different retrofitting situations, the effectiveness of the proposed design approach is confirmed.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Energy & Fuels
Miguel Gayo-Abeleira et al.
Summary: This research proposes the division of community microgrids into clusters based on geographical locations and develops a two-layer architecture to enhance the penetration of distributed energy resources. The first layer focuses on creating local energy markets to maximize economic benefits, while the second layer is responsible for network reconfiguration based on energy balance within each cluster. The strategy utilizes Blockchain technology and Smart Contracts to decentralize control and eliminate intermediaries. It has been validated through simulations based on the IEEE 123-node system network model, demonstrating its benefits.
Article
Energy & Fuels
Jingya Dong et al.
Summary: This paper presents a trading strategy in the blockchain environment to solve the problems of P2P energy trading, which considers the market type and improves trading efficiency, reduces communication loss, and helps energy blockchain achieve better self-sufficiency.
Article
Energy & Fuels
Abdullah Umar et al.
Summary: The integration of distributed generations, battery storage, and smart meters utilizing blockchain technology has enabled the development of a secure and efficient energy management platform for microgrid systems. Peer-to-peer energy intra-trading has incentivized users to change their energy usage patterns, resulting in energy savings and self-sufficiency.
Article
Economics
Yu-Tian Lei et al.
Summary: This paper introduces an energy trading platform based on permissioned blockchain for managing renewable energy microgrids. Through automated trading processes, smart contracts, and IoT technology, the platform achieves low-cost and efficient renewable energy trading, while maintaining user privacy with a homomorphic encryption scheme.
Article
Engineering, Electrical & Electronic
Zixiao Xu et al.
Summary: This paper proposes a multi-microgrid electricity bidding trading model based on blockchain technology, which integrates generation resources and ensures fairness and transparency in power trading through a decentralized spot market.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Chenxi Jia et al.
Summary: This study investigates the issues faced by the intelligent building energy management system (IBEMS) and proposes solutions based on wireless sensor network (WSN) and blockchain technology. Experimental results validate the feasibility and effectiveness of the proposed solutions.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
X. J. Luo et al.
Summary: This paper introduces an innovative approach for building retrofitting assessment and optimization to minimize carbon emissions, economic costs, and energy usage over the building's life cycle. The focus is on passive options such as improving thermal properties and installing renewable energy devices. The research results will benefit policymakers and building engineers for designing sustainable retrofitting measures.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2021)
Article
Construction & Building Technology
Arman Kolahan et al.
Summary: This study introduces a blockchain-based smart solution for demand-side management of residential buildings in a neighborhood to improve Peaks to Average Ratios (PAR) of power load, reduce energy consumption, and increase thermal comfort of occupants. By comparing different control scenarios and using digital modeling, the research shows that using blockchain-connected smart controllers can significantly enhance the efficiency and comfort of buildings.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Construction & Building Technology
X. J. Luo et al.
Summary: A novel data-driven life-cycle optimisation approach for building retrofitting is proposed, selecting the optimal retrofitting plan to maximize cost-saving, energy reduction, and carbon reduction. The proposed approach was tested on a real-world building, showing that retrofitting could lead to significant cost, energy, and carbon savings over the building's lifetime.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Energy & Fuels
Qing Yang et al.
Summary: The emergence of distributed energy resources has a disruptive impact on centralized power systems, leading to the necessity of shifting towards a decentralized power system with bidirectional power flow. The virtual power plant (VPP) is seen as a promising solution for managing DERs. This study develops a blockchain-based VPP energy management platform for transactive energy activities among residential users, validating its feasibility and effectiveness through experiments using real-world data trace.
Review
Computer Science, Information Systems
Zhonghua Zhang et al.
Summary: This paper analyzes the combination of blockchain and artificial intelligence, introducing the advantages and possible application scenarios between the two, while also pointing out existing problems and challenges.
SECURITY AND COMMUNICATION NETWORKS
(2021)
Article
Thermodynamics
Dong Han et al.
Article
Engineering, Electrical & Electronic
Olivier Van Cutsem et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Article
Computer Science, Hardware & Architecture
Aparna Kumari et al.
Article
Thermodynamics
X. J. Luo et al.
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Energy & Fuels
X. J. Luo et al.
Article
Construction & Building Technology
Francisco Sierra et al.
ENERGY AND BUILDINGS
(2018)
Article
Computer Science, Information Systems
Zibin Zheng et al.
INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES
(2018)
Proceedings Paper
Green & Sustainable Science & Technology
Silas Wan
LEVERAGING ENERGY TECHNOLOGIES AND POLICY OPTIONS FOR LOW CARBON CITIES
(2017)
Article
Thermodynamics
G. R. Aghajani et al.
ENERGY CONVERSION AND MANAGEMENT
(2015)
Review
Green & Sustainable Science & Technology
A. Rezaee Jordehi
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2015)
Article
Computer Science, Artificial Intelligence
Dervis Karaboga et al.
ARTIFICIAL INTELLIGENCE REVIEW
(2014)
Review
Computer Science, Artificial Intelligence
Marco Dorigo et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
(2006)
