Proceedings of the 2015 International Conference on Management Science and Innovative Education

Risk analysis of power plant investment based on Monte Carlo

Authors
Dongxiao Niu, Jingpeng Qiu, Meiqiong Wu, Yali Huang
Corresponding Author
Dongxiao Niu
Available Online November 2015.
DOI
10.2991/msie-15.2015.53How to use a DOI?
Keywords
Power Plant; Investment; Risk; Monte Carlo.
Abstract

With the increase of demand for electric power supply, power plant investment is rising. However huge investment usually causes more risks. Based on the market environment of a power plant, combined with cogeneration investment situation in China, the regional electric power demand and supply situation and characteristics of the power grid, the investment risk is evaluated and predicted from natural risk, social risk, political risk, economic risk, technical risk and other risk. Risk analysis model has been built based on Monte Carlo, and the calculation results shows relatively accurate, so this model has a certain guiding significance for the managers.

Copyright
© 2015, 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 2015 International Conference on Management Science and Innovative Education
Series
Advances in Social Science, Education and Humanities Research
Publication Date
November 2015
ISBN
10.2991/msie-15.2015.53
ISSN
2352-5398
DOI
10.2991/msie-15.2015.53How to use a DOI?
Copyright
© 2015, 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  - Dongxiao Niu
AU  - Jingpeng Qiu
AU  - Meiqiong Wu
AU  - Yali Huang
PY  - 2015/11
DA  - 2015/11
TI  - Risk analysis of power plant investment based on Monte Carlo
BT  - Proceedings of the 2015 International Conference on Management Science and Innovative Education
PB  - Atlantis Press
SP  - 236
EP  - 240
SN  - 2352-5398
UR  - https://doi.org/10.2991/msie-15.2015.53
DO  - 10.2991/msie-15.2015.53
ID  - Niu2015/11
ER  -