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Understanding the Dynamics of Nuclear Power and the Reduction of CO2 Emissions

A System Dynamics Approach

Erschienen am 16.05.2023, 1. Auflage 2023
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Bibliografische Daten
ISBN/EAN: 9783031043437
Sprache: Englisch
Umfang: xvi, 182 S., 6 s/w Illustr., 50 farbige Illustr.,
Einband: kartoniertes Buch

Beschreibung

This books explains a strategy that a country can meet its CO2 emission reduction targets (e.g., as are in Paris Agreement) with a dominant share of nuclear power with a balanced energy supply mix. The book starts with an introduction to the subject of energy policy, mechanisms, and CO2 emissions, and the complexity of the CO2 reduction goal. It introduces the system dynamics approach as a solution modeling approach for dealing with the complexity of CO2 reducing policies and mechanisms. The book presents the dynamic model and its key parameters and then elaborates the structural and behavioral validity of the dynamic model. The book gives an intensive review to do that comparative analysis involving China, India, Saudi Arabia, UAE, and Pakistan. The last half of the book focuses on the case in Pakistan. The author reviews Pakistan's Intended Nationally Determined Contribution and other key sources from Pakistan's Ministry of Energy and related institutions. Using Pakistan's case data, the author applies the system dynamics modeling approach whereby a dynamic model, capable of representing the important interactions among various sectors of the electricity supply sector of Pakistan. This book is intended to be of use to policymakers, managers and practitioners, teachers, researchers, and students of design and assessment of policymaking for the complex, dynamic energy systems

Produktsicherheitsverordnung

Hersteller:
Springer Verlag GmbH
juergen.hartmann@springer.com
Tiergartenstr. 17
DE 69121 Heidelberg

Autorenportrait

Hassan Qudrat-Ullah is a member of the Springer Complexity Board. He is Professor of Decision Sciences at the School of Administrative Studies at York University, Canada. His research interests include dynamic decision making, system dynamics modeling, and energy planning models.