Installed Capacity Prediction of Biomass Power Generation in China Based on Gray Dynamic Model

Abstract:

The low-carbon economy is attention increasingly all over the world, and which has become the best economic mode to cope with global warming. And it is the important way to achieve the low carbon economy, optimize the energy structure through developing the biomass power generation and other new energy. In recent years, the development of biomass power generation in China is rapid, there are also some problems. Therefore, it is necessary to predict the biomass power generation industry development, especially the installed capacity of biomass power generation. In this paper, the authors used the GM (1, 1) model to predict the installed capacity of biomass power generation, which can reveal the evolution of things under the circumstances of less data and less information. The installed capacity prediction from 2011 to 2020 showed that the results given by this model were reliable, and it is feasible to predict the installed capacity of biomass power generation.

• Periodical: Applied Mechanics and Materials (Volumes 291-294)
• Pages: 221-224
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.291-294.221
• Online since: February 2013
• Authors: Zhi Bin Liu, Ai Sheng Ren, Li Wei Hou
• Keywords: Biomass Power Generation, Gray Dynamic Model, Installed Capacity

References

[1] Yuanying Chi: The Research of China Wind Power Industry Development based on the Low-Carbon Economy, Changchun: Jilin University, (2008).

[2] Julong Deng: Grey Theory (Huazhong University of Science and Technology Press, China 2002).

[3] Zhenpei Shan, Deshan Ma: Journal of Gansu Lianhe University (Natural Sciences), No. 5 (2010), pp.24-27.

[4] Julong Deng: Grey Prediction and Grey Decision (Huazhong University of Science and Technology Press, China 2002).

[5] Li Gao, Yingdan Mei: Ecological Economy, No. 8 (2011), pp.123-127.

[6] Tiezhu Zhang: New Energy, No. 8 (2011), pp.56-58.