Trend Analysis and Comprehensive Evaluation of Green Production Principal Component of Thermal Power Unit Based on ANP-MEEM Model

Zhongfu Tan, Qingkun Tan, Liwei Ju, Shenbo Yang, Huangfu Cheng and Jiale Ma

Discrete Dynamics in Nature and Society, 2019, vol. 2019, 1-11

Abstract:

Low-emission environmental protection concept once it replaced the low-carbon energy transformation concept, to a certain extent, disrupted the core direction of energy transformation. This paper takes the green development of electric power as the research direction, the thermal power unit is the green source control point of electricity, and the green production of the thermal power unit is the research target; based on the actual research data and the actual data, the comprehensive evaluation of the green production of a thermal power generating unit in a city is carried out by means of ANP, matter-element extension model, and principal component analysis. This paper not only reflects the quantification of green benefits in each year, but also achieves the comparison of green achievements and the analysis of increasing losses in the data years. Furthermore, the indexes of annual increase and loss of the index system are analyzed and filtered. The indexes of strong contribution index and short board of barrel are found out, and the dimension reduction management of green production of thermal power unit is realized.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/DDNS/2019/4049151.pdf (application/pdf)
http://downloads.hindawi.com/journals/DDNS/2019/4049151.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:4049151

DOI: 10.1155/2019/4049151

Access Statistics for this article

More articles in Discrete Dynamics in Nature and Society from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().