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020 _a9789819987795
_9978-981-99-8779-5
024 7 _a10.1007/978-981-99-8779-5
_2doi
050 4 _aHD72-88
072 7 _aKCG
_2bicssc
072 7 _aBUS068000
_2bisacsh
072 7 _aKCG
_2thema
100 1 _aIkeda, Yuichi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_971442
245 1 0 _aData Science of Renewable Energy Integration
_h[electronic resource] :
_bThe Nexus of Energy, Environment, and Economic Growth /
_cby Yuichi Ikeda.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVIII, 324 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEvolutionary Economics and Social Complexity Science,
_x2198-4212 ;
_v30
505 0 _aChapter 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.
520 _aThis 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.
650 0 _aEconomic development.
_958075
650 0 _aEnvironmental economics.
_957520
650 0 _aSchools of economics.
_969592
650 0 _aOperations research.
_957943
650 1 4 _aEconomic Growth.
_958347
650 2 4 _aEnvironmental Economics.
_957520
650 2 4 _aHeterodox Economics.
_969593
650 2 4 _aOperations Research and Decision Theory.
_967143
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819987788
776 0 8 _iPrinted edition:
_z9789819987801
776 0 8 _iPrinted edition:
_z9789819987818
830 0 _aEvolutionary Economics and Social Complexity Science,
_x2198-4212 ;
_v30
_971443
856 4 0 _uhttps://doi.org/10.1007/978-981-99-8779-5
912 _aZDB-2-ECF
912 _aZDB-2-SXEF
999 _c57765
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