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Study of Energy Saving and Emission Reduction based on the OLAP Multi-Indicator Relational Model

Y. S. Shen1,Z. F. Tan1,X. L. Shen2,J. J. Bai2,Q. Z. Li2* and S. Wang3

  1. Department of Technical Economy and Management, North China Electric Power University, Beijing, 102206, China
  2. Department of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, China
  3. Faculty of Engineering and Applied Science, University of Regina, Regina, SK S4S 0A2, Canada

*Corresponding author. Email:


The research related to energy-saving and emission-reduction can be helpful in designing the energy-saving development mode. The conventional methods for energy-saving and emission-reduction usually take a long time to estimate the effects under different modes, and their estimations may have many errors with long-term economic and environmental impacts. The environmental protection and economic development are interrelated with each other; a balanced development has to be taken into account synthetically. Since the relationship between economy and environment is complex, this paper studies the effects of the two indicators, and identifies their key impact on achieving energy-saving and emission-reduction. This paper conducts a thorough study on the economic and environmental developments in Beijing based on the OLAP multi-indicator relational model. The relation quantization function can be obtained and the energy-saving and emission-reduction from the perspective of the quantitative multi-indicator relationship can be studied in this study.

Keywords: energy-saving and emission-reduction, multi-indicator relationship, OLAP, coordinated development

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