Informing Choices for Meeting China’s Energy Challenges

Author:   Zheng Li ,  Angelo Amorelli ,  Pei Liu
Publisher:   Springer Verlag, Singapore
Edition:   Softcover reprint of the original 1st ed. 2016
ISBN:  

9789811095962


Pages:   150
Publication Date:   15 June 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Our Price $168.16 Quantity:  
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Informing Choices for Meeting China’s Energy Challenges


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Overview

This book describes the scale and complexity of China’s energy system, using Sankey diagrams to visualize the energy flows across the economy and categorizing the differences between provinces. China’s provinces extend over a vast area and are at different stages of economic development. Regional planning and inter-regional optimization will be essential for planning a future infrastructure that will allow China as a whole to optimize and avoid overcapacity and inefficiency. In this context, it introduces a new energy systems modeling approach and demonstrates its application in the power sector. This power model can help optimize the overall design of the power system and reveal how different future investment choices, e.g. natural gas fired power, only emerge when details such as regional, seasonal and diurnal demand factors are considered. Lastly, it looks at options for mitigating carbon and the major role that renewables & natural gas could play,as well as carbon pricing.

Full Product Details

Author:   Zheng Li ,  Angelo Amorelli ,  Pei Liu
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   Softcover reprint of the original 1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 0.90cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9789811095962


ISBN 10:   9811095965
Pages:   150
Publication Date:   15 June 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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