Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)

Research on the Emission Reduction Problem of Biomass Power Generation

Authors
Xin Wang, Chenjun Sun, Zhuhan Long, Lilin Peng, Ming Zeng
Corresponding Author
Xin Wang
Available Online September 2016.
DOI
https://doi.org/10.2991/iccia-16.2016.66How to use a DOI?
Keywords
Biomass power generation; Emission reduction contribution degree; The cost-effectiveness of emission reduction; Emission reduction risks.
Abstract
Biomass energy belongs to low carbon energy, and it plays an important role in gradually changing China's energy structure dominated by fossil fuels. Therefore, research on low carbon issues of biomass power has great significance in application and planning of biomass. Firstly, this paper puts forward the low carbon contribution degree of biomass power generation and its evaluation method; secondly, with the theoretical and empirical combination, it analyzes the emission reduction contribution degree of biomass power generation technology; finally, the cost-effectiveness of emission reduction of biomass power generation has been comprehensively studied. And this paper lays the theoretical foundation for the biomass power generation project to carry out.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-240-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-16.2016.66How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xin Wang
AU  - Chenjun Sun
AU  - Zhuhan Long
AU  - Lilin Peng
AU  - Ming Zeng
PY  - 2016/09
DA  - 2016/09
TI  - Research on the Emission Reduction Problem of Biomass Power Generation
BT  - 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 363
EP  - 369
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.66
DO  - https://doi.org/10.2991/iccia-16.2016.66
ID  - Wang2016/09
ER  -