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Titlebook: Carbon Capture, Utilization, and Storage Technologies; Towards More Sustain Ali Ahmadian,Ali Elkamel,Ali Almansoori Book 2024 The Editor(s)

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书目名称Carbon Capture, Utilization, and Storage Technologies
副标题Towards More Sustain
编辑Ali Ahmadian,Ali Elkamel,Ali Almansoori
视频videohttp://file.papertrans.cn/222/221556/221556.mp4
概述Presents interdisciplinary research on carbon capture, utilization, and storage.Examines the potential impact of CCUS on future energy systems.Includes numerous case studies
丛书名称Green Energy and Technology
图书封面Titlebook: Carbon Capture, Utilization, and Storage Technologies; Towards More Sustain Ali Ahmadian,Ali Elkamel,Ali Almansoori Book 2024 The Editor(s)
描述This book brings together cross-disciplinary research on carbon capture, utilization, and storage (CCUS) to examine the impact of implementing CCUS tools and technologies on emissions reduction and sustainable development in cities and large metropolitan areas. An expert group of global contributors provides in-depth technical discussions, case studies, and examples with an emphasis on the worldwide application of the latest developments in technology, protocols, implementation, and application of CCUS in power and energy systems..Carbon Capture, Utilization, and Storage Technologies: Towards More Sustainable Cities. is an essential multidisciplinary reference for researchers and industry practitioners from engineering, energy, computer science, data science, economics, and operational research working in the energy and environmental fields. .
出版日期Book 2024
关键词Carbon capture; Carbon dioxide (CO2); Carbon utilization; Carbon storage; CCUS; Clean energy; Climate chan
版次1
doihttps://doi.org/10.1007/978-3-031-46590-1
isbn_softcover978-3-031-46592-5
isbn_ebook978-3-031-46590-1Series ISSN 1865-3529 Series E-ISSN 1865-3537
issn_series 1865-3529
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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CO2 Transportation Facilities: Economic Optimization Using Genetic Algorithm,7]. However, optimal CO. transportation facility design can drastically lower the project’s overall cost [8–11], especially when the source-sink distance is greater than 100 km. Recent studies demonstrate that the cost of transport facilities in a CCS project is more than anticipated [12]. Therefore
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Machine Learning Models for Absorption-Based Post-combustion Carbon Capture,e are two main methods of developing models, mechanistic and empirical. Mechanistic models are built from the ground up using theoretical relationships between fundamental components of the system. Empirical models are based on retrospective observed and prospective experimental data. One subset of
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Design and Optimization of a Tidal Power Generation Plant in the Bay of Fundy, Canada, and disturbances in the energy supply. Over a 20-year design life, the $7.9 million dollar turbine is expected to gain a profit of $44.7 million while factoring in operations and maintenance costs and capital costs. This preliminary analysis proves there is a promising future for tidal turbines. Ho
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Renewable Energy Integration for Energy-Intensive Industry to Reduce the Emission,table processing configurations integrated with renewable technology types. The framework prescribes promising sustainable options to produce hydrogen for the oil and gas industry as well as other energy-intensive industries such as power generation for sustainable electricity supply.
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Carbon Capture, Utilization, and Storage TechnologiesTowards More Sustain
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Index of Selected Copper Systems, and weaknesses of research methods. In addition, each remote sensing method examines the key challenges and makes suggestions for future progress. CO2 satellite monitoring can be the basis of data collection for the implementation of international climate policies and also can strengthen the countr
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