The Research on Classifying Denitrification Electricity Price Based on Method of Operating Period Electricity Price and DEA

DOI

10.2991/icacsei.2013.136How to use a DOI?

Keywords

DEA, the method of operating period electricity price, classifying denitrification electricity price.

Abstract

In this paper, a vision of classifying denitrification electricity price of various denitrification unit based on different relative efficiency of denitrification is put forward. First of all, take 46 denitrification unit sample of randomly selected nationwide to be the calculation object, using the method of operating period electricity price to calculate denitrification electricity price of each sample; and then regarding total costs (operating costs + financial expenses + depreciation expense) of each denitrification unit as inputs, removal amount as output, use DEA to calculate the relative efficiency of each sample project; finally, according to the calculated relative efficiency use cluster analysis to classify denitrification sample, so as to determine the classified denitrification electricity price. Classifying the denitrification unit based on the relative efficiency is the beneficial trial of denitrification electricity price classification pricing, and this classification will help to solve denitrification electricity price compensation going "inequality", also it is of great significance to enhance denitrification efficiency.

Copyright

© 2013, 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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TY  - CONF
AU  - Jian guo Zhou
AU  - Xiao dan Pan
AU  - Lin Meng
PY  - 2013/08
DA  - 2013/08
TI  - The Research on Classifying Denitrification Electricity Price Based on Method of Operating Period Electricity Price and DEA
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 566
EP  - 569
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.136
DO  - 10.2991/icacsei.2013.136
ID  - Zhou2013/08
ER  -