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|a 9789819987795
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|a 10.1007/978-981-99-8779-5
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|a Ikeda, Yuichi.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Data Science of Renewable Energy Integration
|h [electronic resource] :
|b The Nexus of Energy, Environment, and Economic Growth /
|c by Yuichi Ikeda.
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|a 1st ed. 2024.
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|a Singapore :
|b Springer Nature Singapore :
|b Imprint: Springer,
|c 2024.
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|a XVIII, 324 p. 1 illus.
|b online resource.
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|a Evolutionary Economics and Social Complexity Science,
|x 2198-4212 ;
|v 30
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|a Chapter 1. Today’s Our System -- Chapter 2. Statistical Analysis -- Chapter 3. Fluctuation and Correlation of Renewable Energy -- Chapter 4. Optimization and Dynamical System -- Chapter 5. Grid flexibility -- Chapter 6. Grid Integration of Renewable Energy -- Chapter 7. Evolving Microgrid Network and Power Market -- Chapter 8. Foreign Direct Investment in Renewable Energy -- Chapter 9. Hydrogen Energy Storage and Nuclear Energy -- Chapter 10. Blockchain Energy Trade System -- Chapter 11. V2G: Vehicle to Grid -- Chapter 12. Conclusion: Prospects for the Future.
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|a This book covers various data scientific approaches to analyze the issue of grid integration of renewable energy for which the grid flexibility is the key to cope with its intermittency. It provides readers with the scope to view renewable energy integration as establishing a distributed energy network instead of the traditional centralized energy system. Specifically, quantitative valuation system-wise of the levelized cost of energy, which includes both initial cost and various operational costs, enables readers to optimize energy systems in order to minimize economic cost and environmental impact. It is noted, however, that the high cost of integrating renewable energy on a large scale might slow economic growth considerably. Topics addressed in the book also include statistical comparative study of the relationship between energy and economic growth, a graphical model of determinant factors for foreign direct investment in renewable energy, the coupled oscillator model and unit commitment model to capture intermittency of renewable energy, and the network model of evolving micro-grids. The book explains desired innovation to reduce the integration cost significantly using innovative technologies such as energy storage with hydrogen production and vehicle-to-grid technology. Illustrated by careful analysis of selected examples of renewable integration using different types of grid flexibility, this volume is indispensable to readers who make policy recommendations to establish the distributed energy network integrated with large-scale renewable energy by disentangling the nexus of energy, environment, and economic growth.
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|a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
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|a No reading system accessibility options actively disabled
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|a Publisher contact for further accessibility information: accessibilitysupport@springernature.com
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|a Economic development.
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|a Environmental economics.
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|a Schools of economics.
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|a Operations research.
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|a Economic Growth.
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|a Environmental Economics.
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|a Heterodox Economics.
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|a Operations Research and Decision Theory.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9789819987788
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|i Printed edition:
|z 9789819987801
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|i Printed edition:
|z 9789819987818
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|a Evolutionary Economics and Social Complexity Science,
|x 2198-4212 ;
|v 30
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|u https://doi.org/10.1007/978-981-99-8779-5
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|a ZDB-2-ECF
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|a ZDB-2-SXEF
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|a Economics and Finance (SpringerNature-41170)
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|a Economics and Finance (R0) (SpringerNature-43720)
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