Data Science of Renewable Energy Integration: The Nexus of Energy, Environment, and Economic Growth (Evolutionary Economics and Social Complexity Science, 30) 2024th Edition

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Description

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 unitcommitment 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.

 

 

Table of Contents


Chapter 1. Introduction: Today’s Our System


On the Earth, there is an inflow and outflow of energy, such as the intake of sunlight (ultraviolet, visible, and infrared light) and the emission of thermal radiation into space. On the other hand, very little matter enters or leaves the Earth. Although it is not a perfect isolated system because of the energy flow in and out, the Earth can be regarded as an isolated system as a rough approximation. Thermodynamics tells us that, in the equilibrium state of an isolated system, a homogeneous state with no structure that maximizes entropy is realized.


Chapter 2. Statistical Analysis


This chapter briefly explains the basics of statistics, regression analysis, and time series analysis.


Chapter 3. Fluctuation and Correlation of Renewable Energy


We are interested in multi-dimensional data for various practical purposes. However, it is often seen that the multi-dimensional data are hard to understand intuitively due to correlations between some of the dimensions of the data.

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


The International Energy Agency (IEA) has proposed the NZE 2050 scenario, which calls for net-zero greenhouse gas emissions by 2050. Achieving this will require major changes in the energy sector. Renewable energy sources such as solar PV and wind power, which have become increasingly popular in recent years, effectively reduce 
emission. However, other sources must compensate for their output fluctuations.


Chapter 10. Blockchain Energy Trade System


In recent years, decentralized and open information systems based on blockchain technology have attracted much attention. Blockchain technology can effectively solve various global issues known as sustainable development goals, SDGs, and energy issues.


Chapter 11. V2G: Vehicle to Grid


Chapter 12. Conclusion: Prospects for the Future

 

 

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