Intelligent Integrated Energy Systems
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| Author | : Peter Palensky |
| Publisher | : Springer |
| Total Pages | : 230 |
| Release | : 2018-10-26 |
| Genre | : Technology & Engineering |
| ISBN | : 3030000575 |
This book presents research results of PowerWeb, TU Delft’s consortium for interdisciplinary research on intelligent, integrated energy systems and their role in markets and institutions. In operation since 2012, it acts as a host and information platform for a growing number of projects, ranging from single PhD student projects up to large integrated and international research programs. The group acts in an inter-faculty fashion and brings together experts from electrical engineering, computer science, mathematics, mechanical engineering, technology and policy management, control engineering, civil engineering, architecture, aerospace engineering, and industrial design. The interdisciplinary projects of PowerWeb are typically associated with either of three problem domains: Grid Technology, Intelligence and Society. PowerWeb is not limited to electricity: it bridges heat, gas, and other types of energy with markets, industrial processes, transport, and the built environment, serving as a singular entry point for industry to the University’s knowledge. Via its Industry Advisory Board, a steady link to business owners, manufacturers, and energy system operators is provided.
| Author | : Qiuye Sun |
| Publisher | : Frontiers Media SA |
| Total Pages | : 119 |
| Release | : 2023-01-27 |
| Genre | : Technology & Engineering |
| ISBN | : 2832510256 |
| Author | : Xingming Sun |
| Publisher | : Springer Nature |
| Total Pages | : 701 |
| Release | : 2022-07-04 |
| Genre | : Computers |
| ISBN | : 3031067886 |
This three-volume set LNCS 13338-13340 constitutes the thoroughly refereed proceedings of the 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, which was held in Qinghai, China, in July 2022. The total of 166 papers included in the 3 volumes were carefully reviewed and selected from 1124 submissions. The papers present research, development, and applications in the fields of artificial intelligence and information security
| Author | : Fengji Luo |
| Publisher | : Frontiers Media SA |
| Total Pages | : 128 |
| Release | : 2023-02-10 |
| Genre | : Technology & Engineering |
| ISBN | : 2832514332 |
| Author | : Nikolai I. Voropai |
| Publisher | : Elsevier |
| Total Pages | : 542 |
| Release | : 2023-08-03 |
| Genre | : Science |
| ISBN | : 0443139164 |
Hierarchical Modeling of Energy Systems presents a detailed methodology for hierarchical modeling of large-scale complex systems with a focus on energy systems and their expansion planning and control. General methodological principles of hierarchical modeling are analyzed, and based on this analysis, a generalized technology for the hierarchical approach is presented. The mathematical foundations of decomposition and bi-level programming, as well as the possibility of using information technologies are also considered. The theoretical propositions are demonstrated by numerous hierarchical modeling examples aimed at planning the development of the energy sector and expansion of energy systems, analyzing, and optimizing these systems, and controlling their operation. In addition, codes and sample simulations are included throughout. This is an invaluable guide for researchers, engineers, and other specialists involved in the development, control and management of energy systems, while the summary of fundamental principles and concepts in energy modeling makes this an accessible learning tool for graduate students on any course involving energy systems or energy modeling. - Summarizes hierarchical modeling principles and methods - Critically evaluates all energy systems including electric power systems, heat supply systems, gas, and coal supply systems, integrated and cogeneration systems, its interrelations and more - Examines expansion planning, development and operation, control and management of energy systems - Provides a detailed mathematical descriptions of models, computation algorithms, and optimization problems
| Author | : C.C. Chan |
| Publisher | : Elsevier |
| Total Pages | : 337 |
| Release | : 2023-10-11 |
| Genre | : Psychology |
| ISBN | : 0323955223 |
Focusing on energy, transportation, information, and economic networks and flows, Integration of Energy, Information,Transportation and Humanity uniquely examines the interconnection, interaction, and integration across these multiple sectors. It helps readers understand the correlation of energy, transportation, and information via the integration of humanity world, cyber world and physical world. It clearly explains the objectives of the integration of energy network, transportation network, information network, humanity network, as well as the integration of energy flow, information flow, material flow and value flow (4N4F); the philosophy, science, and engineering of the integration of 4N4F; the mechanism, keys and benefits of the integration of 4N4F; the carriers of the integration of 4N4F; and the framework of the integration of 4N4F. - Synthesizes the newest developments in digital technologies and digital economy - Includes case studies and examples that illustrate the application of methodologies and technologies employed - Useful for both theoretically and technically oriented researchers
| Author | : Wentao Huang |
| Publisher | : Springer Nature |
| Total Pages | : 300 |
| Release | : 2024-01-31 |
| Genre | : Business & Economics |
| ISBN | : 9819987954 |
This open access book provides a detailed exploration of energy management in seaport integrated energy systems, highlighting their potential to replace conventional fuel-based energy usage and promote sustainable development of large ports. In order to achieve carbon neutrality, energy management technologies are crucial for the sustainable development of port systems that couple energies, logistics, and maritime transportation. Research on seaport integrated energy systems has attracted scholars and scientists from various disciplines, such as port electrification, logistics, microgrids, renewable energies, energy storages, and port automation. Taking a holistic approach, this book establishes a fundamental framework for the topic and discusses the electrification process, coupling mechanisms and modeling, optimal planning, low-carbon and economic operation, as well as applications of integrated energy systems in seaports. This book is intended for researchers, graduate students, and other readers interested in green seaport energy management and low-carbon operation technologies under the coupling between logistics and multi-energy systems.
| Author | : Bo Yang |
| Publisher | : Elsevier |
| Total Pages | : 252 |
| Release | : 2023-09-06 |
| Genre | : Business & Economics |
| ISBN | : 0443141231 |
Optimal Operation of Integrated Energy Systems Under Uncertainties: Distributionally Robust and Stochastic Models discusses new solutions to the rapidly emerging concerns surrounding energy usage and environmental deterioration. Integrated energy systems (IESs) are acknowledged to be a promising approach to increasing the efficiency of energy utilization by exploiting complementary (alternative) energy sources and storages. IESs show favorable performance for improving the penetration of renewable energy sources (RESs) and accelerating low-carbon transition. However, as more renewables penetrate the energy system, their highly uncertain characteristics challenge the system, with significant impacts on safety and economic issues. To this end, this book provides systematic methods to address the aggravating uncertainties in IESs from two aspects: distributionally robust optimization and online operation. - Presents energy scheduling, considering power, gas, and carbon markets concurrently based on distributionally robust optimization methods - Helps readers design day-ahead scheduling schemes, considering both decision-dependent uncertainties and decision-independent uncertainties for IES - Covers online scheduling and energy auctions by stochastic optimization methods - Includes analytic results given to measure the performance gap between real performance and ideal performance
| Author | : Qiuwei Wu |
| Publisher | : Elsevier |
| Total Pages | : 372 |
| Release | : 2021-09-07 |
| Genre | : Technology & Engineering |
| ISBN | : 0128241152 |
Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty discusses core concepts, advanced modeling and key operation strategies for integrated multi-energy systems geared for use in optimal operation. The book particularly focuses on reviewing novel operating strategies supported by relevant code in MATLAB and GAMS. It covers foundational concepts, key challenges and opportunities in operational implementation, followed by discussions of conventional approaches to modeling electricity, heat and gas networks. This modeling is the base for more detailed operation strategies for optimal operation of integrated multi-energy systems under uncertainty covered in the latter part of the work. - Reviews advanced modeling approaches relevant to the integration of electricity, heat and gas systems in operation studies - Covers stochastic and robust optimal operation of integrated multi-energy systems - Evaluates MPC based, real-time dispatch of integrated multi-energy systems - Considers uncertainty modeling for stochastic and robust optimization - Assesses optimal operation and real-time dispatch for multi-energy building complexes
| Author | : Yuekuan Zhou |
| Publisher | : Elsevier |
| Total Pages | : 302 |
| Release | : 2023-11-21 |
| Genre | : Computers |
| ISBN | : 0443131783 |
Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems examines the combined impact of buildings and transportation systems on energy demand and use. With a strong focus on AI and machine learning approaches, the book comprehensively discusses each part of the energy life cycle, considering source, grid, demand, storage, and usage. Opening with an introduction to smart buildings and intelligent transportation systems, the book presents the fundamentals of AI and its application in renewable energy sources, alongside the latest technological advances. Other topics presented include building occupants' behavior and vehicle driving schedule with demand prediction and analysis, hybrid energy storages in buildings with AI, smart grid with energy digitalization, and prosumer-based P2P energy trading. The book concludes with discussions on blockchain technologies, IoT in smart grid operation, and the application of big data and cloud computing in integrated smart building-transportation energy systems. A smart and flexible energy system is essential for reaching Net Zero whilst keeping energy bills affordable. This title provides critical information to students, researchers and engineers wanting to understand, design, and implement flexible energy systems to meet the rising demand in electricity. - Introduces spatiotemporal energy sharing with new energy vehicles and human-machine interactions - Discusses the potential for electrification and hydrogenation in integrated building-transportation systems for sustainable development - Highlights key topics related to traditional energy consumers, including peer-to-peer energy trading and cost-benefit business models
