Iot Enabled Multi Energy Systems
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IoT Enabled Multi-Energy Systems
IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems. Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more. - Reviews core applications of IoT technologies in grid modernization of multi-energy networks - Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks - Analyzes the reliable integration, sustainable operation and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources
Hybrid Systems and Multi-energy Networks for the Future Energy Internet
Hybrid Systems and Multi-energy Networks for the Future Energy Internet provides the general concepts of hybrid systems and multi-energy networks, focusing on the integration of energy systems and the application of information technology for energy internet. The book gives a comprehensive presentation on the optimization of hybrid multi-energy systems, integrating renewable energy and fossil fuels. It presents case studies to support theoretical background, giving interdisciplinary prospects for the energy internet concept in power and energy. Covered topics make this book relevant to researchers and engineers in the energy field, engineers and researchers of renewable hybrid energy solutions, and upper level students. - Focuses on the emerging technologies and current challenges of integrating multiple technologies for distributed energy internet - Addresses current challenges of multi-energy networks and case studies supporting theoretical background - Includes a transformative understanding of future concepts and R&D directions on the concept of the energy internet
Low-Carbon Oriented Market Mechanism and Reliability Improvement of Multi-energy Systems
The energy crisis has brought great challenges to the low-carbon and economic development of the energy system. To achieve net-zero emissions, energy systems can have an increasing penetration of renewable energy and a deep coupling of multiple energy sectors (i.e., electricity, gas, and heat). To deal with the increasing fluctuations of renewable energy in multi-energy systems, the market mechanism is an effective solution for the optimal allocation of resources. An optimal market design could stimulate different resources to actively assist the carbon reduction and reliability improvement of multi-energy systems. Therefore, research on low-carbon-oriented market design and optimal operation is expected to improve the reliability and sustainability of multi-energy systems. The objective of this Research Topic is to explore the latest advances in market design and reliability improvement technologies of multi-energy systems with a focus on low-carbon, reliability, and resilience. We have the following research goals: 1. Effective market mechanisms and interaction frameworks to support the operation of energy systems. 2. Advanced operation and control methods for flexible resources, such as traditional units, energy storage, electric vehicles, electric hydrogen production, etc. 3. Advanced planning strategies and portfolio management for flexible resources in multi-energy systems. 4. Advanced evaluation methods for flexibility, resilience, and carbon emissions of energy systems. 5. Effective applications of integrated demand response in energy systems with new technical and economic models. Original research and review articles in theoretical, methodological, or practical focuses, such as models, policies, algorithms, and applications, are all welcome. Research areas may include (but are not limited to) the following: • Low-carbon-oriented market mechanism • Interaction framework designs for flexible resources • Modeling and optimization technologies for multi-energy systems • Evaluation methods for the system resilience, flexibility, and carbon emissions • Operation, control, and planning methods of multi-energy systems • Applications of artificial intelligence technology in reliability improvement • Renewable energy prediction and integration