Energy Efficiency Evaluation of Power Equipment Based on DEA

Dongdong XU, Xiaoqiang ZHONG, Junqing ZHOU, Qinwen ZHEN, Yu DONG

Abstract


As the current situation of imperfect model algorithm of electrical equipment for energy efficiency evaluation, we set up energy efficiency DEA model. In the model, we got average load rate, average power factor and tri-phase unbalance factor as inputs indexes. And we got economic output of per unit of power consumption and energy pollution as outputs indexes. Then we transformed multiple pollutants into a pollutant index through principal component analysis. And we got it as the desired output. The result of 12 industrial enterprises in the energy efficiency of electrical equipment shows that the evaluation model is suitable for energy efficiency evaluation and system analysis. The DEA model is useful to further improvement in the energy efficiency of equipment.


Keywords


Electrical equipment; Energy efficiency; DEA; Evaluation unit

Full Text:

PDF

References


Fare, R., Grosskopf, S., & Hemandez-Sancho. (2004). Environmental performance: an index number approach. Resource and Energy Economics, (26), 343-352.

Fare, R., Grosskopf, S., & Pasurka, Jr. C. (2007). Environmental production function and environmental directional distance function. Energy, 32(7), 1055-1066.

He, S. (2002). Review of energy efficiency standards of household air conditioners and energy-saving technology development. Standard, 62-63.

Ji, Y. (2012). Research on voltage and energy technology of tri-phase asynchronous motor. Science and Technology Innovation Herald, (5), 1-3.

Liu, H. C., Hu, P. F., Wu, T. H., & Zhu, N. (2012). Investigation on energy efficiency indexes for air-conditioning system. Refrigeration and Air-Conditioning, 12(6), 5-8.

Lu, J. B. (2012). Motor energy-related issue. Hunan Agricultural Machinery, 39(3), 115-116.

Patterson, M. G. (1996). What is energy efficiency? Conception, indicators and methodological issures. Energy Policy, 24(5), 377-390.

Seiford, M., & Zhu, J (2002). modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 142(1), 16-20.

Shi, M., Jia, L., Zhang, X. P., Zhong, Y., & Zhang, M. S. (2009). Energy efficiency and evaluation method development of refrigeration and air-conditioning equipments. Refrigeration and Air-Conditioning, 9(1), 15-19.

Wei, C., & Shen, M. H. (2007). Energy efficiency and energy productivity: A comparison based on the panel data by province. Quantitative & Technical Economics Research, (9), 110-121.

Wu, J. F., Yao, J. G., Chen, H. L., Gong, C. X., & Li, Y. (2010). Fuzzy comprehensive evaluation of power customer energy efficiency assessment. Power System Protection and Control, 38(3), 95-98.

Wu, Q., & Qu, C. Y. (2009). Research on evaluation model of energy efficiency based on DEA. Management Science, 22(1), 103-112.

Yan, F. (2008). Energy efficiency identification of major energy-using equipment of new and expansion projects. Energy Conservation, (1), 14-15.

Yang, Y., Zhang, L. Z., & Wang, S. Z. (2012). Optimization strategy and model of load control considering power consumption efficiency. Automation of Electronic Systems, 36(8), 103-108.

Zhang, J. P., Liu, G. X., Yuan, Q., Yang, X. C., & Zheng, M. T. (2004). Design and realization of evaluation of health condition system for transformation equipment. Modern Electric Power, 21(4), 45-49.

Zhang, J., Xia, S., & Chen, Y. R. (2012). Problems and process in energy efficiency evaluation of Special equipments. Development and Innovation of Machinery and Electrical Products, 25(5), 32-34

Zhou, Z. K., & Zhang, Q. G. (2013). Analysis on energy-saving technology of tri-phase asynchronous motor. Science and Technology Forum, 96.




DOI: http://dx.doi.org/10.3968/5896

DOI (PDF): http://dx.doi.org/10.3968/g6811

Refbacks

  • There are currently no refbacks.


Copyright (c)




Share us to:   


Reminder

We are currently accepting submissions via email only.

The registration and online submission functions have been disabled.

Please send your manuscripts to ans@cscanada.net,or  ans@cscanada.org  for consideration. We look forward to receiving your work.

 

 Articles published in Advances in Natural Science are licensed under Creative Commons Attribution 4.0 (CC-BY).

 ADVANCES IN NATURAL SCIENCE Editorial Office

Address: 1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.

Telephone: 1-514-558 6138
Website: Http://www.cscanada.net; Http://www.cscanada.org
E-mail:caooc@hotmail.com; office@cscanada.net

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures