Name: Global Risks and Energy System Resilience (en Inglés)
Price: 569.81 PEN
Availability: InStock
Author: Zhao, Jun; Dong, Kangyin; Lei, Yalin
ISBN: 9780443446832

portada Global Risks and Energy System Resilience (en Inglés)

Global Risks and Energy System Resilience (en Inglés)

Formato

Libro Físico

Editorial

Elsevier

Autor

Zhao, Jun; Dong, Kangyin; Lei, Yalin

Idioma

Inglés

N° páginas

280

Encuadernación

Tapa Blanda

ISBN13

9780443446832

Global Risks and Energy System Resilience (en Inglés)

Zhao, Jun; Dong, Kangyin; Lei, Yalin (Autor) · Elsevier · Tapa Blanda

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Reseña del libro "Global Risks and Energy System Resilience (en Inglés)"

Global Risks and Energy System Resilience examines the intricate interplay between various global risks and the resilience of energy systems. This comprehensive reference delves into the complex geopolitical, economic, and financial factors that shape energy security today, offering a structured framework for understanding and addressing challenges. It covers crucial topics such as the evolution of energy system resilience, the development of an evaluation framework, and the quantification of the impacts of geopolitical, financial, and economic risks. Researchers, policymakers, and industry professionals in energy strategy and policy evaluation, energy system resilience optimization, and risk avoidance policies will find this book invaluable. This book follows the logical framework of "indicator measurement-impact assessment-scenario prediction." It first analyzes the current situation and provides an overview of global risks and the energy system resilience, then measures the levels of different types of global risks and energy system resilience, and then analyzes the spatio-temporal evolution law. Second, the theoretical transmission mechanism of different kinds of risks on energy system resilience is analyzed through literature and theoretical review. Next, the actual impacts of different kinds of risks on energy system resilience are assessed by corresponding econometric models. Finally, the influencing factors affecting the resilience of energy systems under a digital background are identified to predict the future development of energy system resilience.