NDLI: A comprehensive low-carbon benefits assessment model for power systems

Content Provider	IEEE Xplore Digital Library
Author	Tianrui Zhou Qixin Chen Wentao Zhu Li Zhang Chongqing Kang
Copyright Year	2012
Description	Author affiliation: State Key Lab of Power Systems; Dept. of Electrical Engineering; Tsinghua University; Beijing, 100084, China (Tianrui Zhou; Qixin Chen; Chongqing Kang) \|\| Yunnan Power Grid Corporation, Kunming 650011, China (Wentao Zhu; Li Zhang)
Abstract	In response to the severe energy and environmental issues, CO emission reduction and low-carbon development are inevitable. China has become the biggest CO emitter in the world since 2006. As a major CO emission source in China, power industry is facing greater pressure for carbon emission abatement. By applying various low-carbon power technologies and mechanisms, the potential for CO emission reduction in power systems is considerable. In this paper, the major low-carbon factors in power systems are identified to reveal the possible low-carbon benefits from different sectors. The tested factors include DSM, smart grid technologies, low-carbon generation technologies, utilization of low-carbon energy and low-carbon power dispatch. Corresponding evaluation methods are then proposed to analyze the low-carbon benefits from different sources quantitatively. On this basis, a general, comprehensive assessment model is developed, which reasonably integrates different kinds of low-carbon benefits in power systems while eliminating overlapped effects. Finally, a numerical case based on data of the Yunnan provincial power system is studied to test the effectiveness of the proposed model.
Starting Page	1
Ending Page	5
File Size	345868
Page Count	5
File Format	PDF
ISBN	9781467328685
e-ISBN	9781467328685
DOI	10.1109/PowerCon.2012.6401256
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-30
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Production Carbon dioxide Smart grids Electricity Wind power generation Hydroelectric power generation assessment model Low-carbon benefit carbon emission analysis power systems evaluation method
Content Type	Text
Resource Type	Article

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