Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling

Risk Evaluation of Biomass Power Generation in Different Regions in China

Authors
Hong Fang, Xinglong Ren
Corresponding Author
Hong Fang
Available Online May 2016.
DOI
10.2991/amsm-16.2016.94How to use a DOI?
Keywords
biomass energy; power generation; coordination degree; risk evaluation; entropy
Abstract

People have payed more and more attention to biomass energy as the problem of energy is becoming serious. Biomass power generation is an important application of biomass energy. Because the basis and condition of biomass power generation are different in different regions, a reasonable risk evalution can help them to find their correct orientations. In this paper, ten indexes from five subsystems are chosen to do single subsystem risk evaluation, comprehensive evaluation and coordination degree evaluation respectively. According to the evaluating results, both the advantage and deficiency are pointed out in different regions in China.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-198-8
ISSN
2352-538X
DOI
10.2991/amsm-16.2016.94How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hong Fang
AU  - Xinglong Ren
PY  - 2016/05
DA  - 2016/05
TI  - Risk Evaluation of Biomass Power Generation in Different Regions in China
BT  - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
PB  - Atlantis Press
SP  - 418
EP  - 421
SN  - 2352-538X
UR  - https://doi.org/10.2991/amsm-16.2016.94
DO  - 10.2991/amsm-16.2016.94
ID  - Fang2016/05
ER  -