Study of energy saving and emission reduction based on the OLAP multi-indicator relational model

Y. S. Shen, Z. F. Tan, X. L. Shen, J. J. Bai, Q. Z. Li, Shuo Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

17 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)115-122
Number of pages8
JournalJournal of Environmental Informatics
Volume20
Issue number2
DOIs
Publication statusPublished - 1 Dec 2012
Externally publishedYes

Keywords

  • Coordinated development
  • Energy-saving and emission-reduction
  • Multi-indicator relationship
  • OLAP

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Environmental Science(all)
  • Computer Science Applications

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