04369nam a22005655i 4500 978-981-99-8779-5 DE-He213 20251030111435.0 cr nn 008mamaa 240220s2024 si | s |||| 0|eng d 9789819987795 978-981-99-8779-5 10.1007/978-981-99-8779-5 doi HD72-88 KCG bicssc BUS068000 bisacsh KCG thema Ikeda, Yuichi. author. aut http://id.loc.gov/vocabulary/relators/aut 71442 Data Science of Renewable Energy Integration [electronic resource] : The Nexus of Energy, Environment, and Economic Growth / by Yuichi Ikeda. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVIII, 324 p. 1 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Evolutionary Economics and Social Complexity Science, 2198-4212 ; 30 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. 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. Economic development. 58075 Environmental economics. 57520 Schools of economics. 69592 Operations research. 57943 Economic Growth. 58347 Environmental Economics. 57520 Heterodox Economics. 69593 Operations Research and Decision Theory. 67143 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819987788 Printed edition: 9789819987801 Printed edition: 9789819987818 Evolutionary Economics and Social Complexity Science, 2198-4212 ; 30 71443 https://doi.org/10.1007/978-981-99-8779-5 ZDB-2-ECF ZDB-2-SXEF 57765 57765