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’scase 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


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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.

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Energy Policies, Mechanisms, and CO2 Emissions.- Understanding the Nature of CO2 Emissions Reduction Goal.- System Dynamic Modeling and Energy Systems.- Dynamic Modeling for Electricity-related CO2 Emissions.- CO2 Reducing Scenarios Development.- Towards a CO2 Emission-reducing Energy Policy for Pakistan.
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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

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Provides an intensive overview of CO2 emissions reducing energy policies and mechanisms Presents a unique dynamic model representing nuclear power-based energy supply mix as a “solution model” Evaluates and discusses socio-economic and technical dimensions of the suggested energy policy
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Product details

ISBN
9783031043437
Published
2023-05-16
Publisher
Springer International Publishing AG
Height
235 mm
Width
155 mm
Age
Research, P, 06
Language
Product language
Engelsk
Format
Product format
Heftet

Biographical note

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.