Proceedings of the 2016 International Conference on Education, Management Science and Economics

Assessment of Electric Power Generation Potential of Typical Forestry Biomass Resources in China

Authors
Zhibin Liu, Xiaoning Li
Corresponding Author
Zhibin Liu
Available Online December 2016.
DOI
https://doi.org/10.2991/icemse-16.2016.49How to use a DOI?
Keywords
China, forestry biomass resources, power generation potential, assessment
Abstract
Carrying on the research of potential assessment of forestry biomass power generation in china systematically is significant not only theoretically but also realistically; it can guide the industry layout and reduce the operational costs of forestry biomass power generation in China. To assess the collectable amounts and power generation potential of forestry biomass resources in China, this paper selected the forestry residues resources as the research objects, determined the lower heating value and assessed the annual average power generation potential from 2011 to 2013. The results showed that the maximum power generation potential of forestry biomass resources was 7125.31MW. The power generation potential with more than 500MW was in Guangxi, Yunnan, Fujian and Guangdong, accounting for 43.41% of the total forestry biomass power generation potential.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2016 International Conference on Education, Management Science and Economics
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2016
ISBN
978-94-6252-275-6
ISSN
2352-5398
DOI
https://doi.org/10.2991/icemse-16.2016.49How 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  - Zhibin Liu
AU  - Xiaoning Li
PY  - 2016/12
DA  - 2016/12
TI  - Assessment of Electric Power Generation Potential of Typical Forestry Biomass Resources in China
BT  - 2016 International Conference on Education, Management Science and Economics
PB  - Atlantis Press
SP  - 202
EP  - 206
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemse-16.2016.49
DO  - https://doi.org/10.2991/icemse-16.2016.49
ID  - Liu2016/12
ER  -