Under the development requirements of low-carbon economy, China has put forward specific targets and requirements for energy conservation(EC) and emission reduction(ER) for various industries. Due to the significant differences in the development of different industries between regions, accurately measuring the energy efficiency(EE) and EC and ER potential of the steel industry in various regions is an important basis for the rational allocation of EC and ER targets. Therefore, this paper proposes an intelligent optimization algorithm(IOA) to analyze the EE and EC and ER of resource-based cities. This paper briefly introduces the single factor EE and total factor EE, discusses the improvement of EE by EC and ER, and puts forward the ant colony algorithm of IOA. Taking the iron and steel industry as an example, the EC and ER and EE of iron and steel industry in different regions are analyzed. The test results show that the IOA proposed in this paper is effective and accurate, and has achieved good results.

Lixi Liu and Linyuan Fan. Energy Efficiency and Energy Conservation and Emission Reduction based on Intelligent Optimization Algorithm. Academic Journal of Energy (2021), Vol. 2, Issue 4: 18-26. https://doi.org/10.38007/RE.2021.020403.

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