Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Applied Energyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Energy
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 1 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Coordination of policy goals between renewable portfolio standards and carbon caps: A quantitative assessment in China

Authors: Bo-Wen Yi; Jin-Hua Xu; Jin-Hua Xu; Ying Fan;

Coordination of policy goals between renewable portfolio standards and carbon caps: A quantitative assessment in China

Abstract

Abstract China has planned to implement renewable portfolio standards (RPS) and national carbon cap-and-trade to promote the low-carbon transformation of society. How to design and coordinate the goals of these policies becomes a key issue. This study quantitatively evaluates the effects of RPS and carbon caps in China’s power sector using a multi-regional power optimization model combining with decomposition method. Based on the framework, this study focuses on two questions: (1) How to coordinate policy goals of RPS and carbon caps to ensure the effectiveness of each policy in the face of policy overlapping? (2) How to design power generation and transmission planning to achieve the goals of different policy mixes? Results show that these two policies contain overlapping elements, yet remain different impacts on regional power structures, inter-regional power and coal dispatches. An effective policy interval for RPS and carbon caps is estimated to examine the effectiveness of any policy mixes. If an RPS with a 17% non-hydro renewable share is implemented by 2030, the effective interval of carbon caps will be between a 27.5% and 38.2% reduction in carbon intensity. Results support that there are strong inner linkages between reasonable power system planning and current status of policy mix.

Related Organizations
  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    96
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
96
Top 1%
Top 10%
Top 1%