The Small Town of Biomass Heating Evaluation Based on the Multi-Level Fuzzy Analysis Method

Article Preview

Abstract:

China has abundant biomass resources and biomass heating is now at the stage of development in China. In view of the influence factors in the process of biomass heating this article use the Multi-level fuzzy analysis method to establish the Biomass heating evaluation model of small towns. Provides the reference for the promotion of living material heating way in small towns Based on economic factors, environmental factors affecting biomass heating of small towns, energy guide factors and technical factors were analyzed, and the factors affecting the biomass heating of small towns are comprehensive evaluation, It provides the reference for the promotion of living material heating way in small towns according to analyze the influence the economic factors, environmental factors, energy guide factors and technical factors and comprehensive evaluate the influence factors of biomass heating of small towns the Factors affecting the biomass heating of small towns.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 953-954)

Pages:

275-280

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Yang Jian-kun. Study on heating mode of small towns in North analysis and network optimization control[D]. Tongji University, Shang Hai, (2007).

Google Scholar

[2] Fan Yuan-chao. Measures for rational utilization of rural biomass resources[J]. Solar Energy . Shang Hai, 2007(7): 7-10.

Google Scholar

[3] Zhangliang. Comparison and evaluation of different heating performance[D]. Xian University of Architecture and Technology. (2010).

Google Scholar

[4] Kuo Yingfeng, Chen Pangcheng. Selection of mobile value-added services for system operators using fuzzy synthetic evaluation[ J]. Expert System s with Applications, 2006, 30(5): 612~ 620.

DOI: 10.1016/j.eswa.2005.07.007

Google Scholar