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Academic Journal of Energy, 2022, 3(3); doi: 10.38007/RE.2022.030304.

Energy Conservation (EC) and Emission Reduction (ER) Technology Based on Genetic Algorithm (GA)

Author(s)

Mohame kumar

Corresponding Author:
Mohame kumar
Affiliation(s)

National Polytechnic Institute of Cambodia, Cambodia

Abstract

The equipment manufacturing industry is the basic industry for the development of the national economy and an important strategic industry that promotes the transformation of the national energy structure to green and clean energy. As my country accelerates the adjustment of the energy structure, liberalizes and absorbs private capital into the market, the development of the equipment manufacturing industry will be further deepened, refined, and specialized, and the technology and methods of energy saving and ER in the equipment manufacturing process will be studied, so as to achieve "clean energy and clean manufacturing". ", will become an important part of the applied science of environmental engineering. The main purpose of this paper is to conduct research on energy saving and ER technology based on GA. This paper evaluates and analyzes the collected electricity consumption throughout the year. The experiment shows that the annual average electricity consumption of the main workshops is nearly 12000MkW. According to the 80/20 principle, it can be concluded that the total electricity consumption of the first five items accounts for 89.78% of the total electricity consumption. (Other items, hydraulic press, heating furnace, air compressor system, lighting system), which belong to the key energy-consuming equipment of this workshop.

Keywords

Genetic Algorithms, Energy Consumption, Energy Conservation, Emission Control

Cite This Paper

Mohame kumar. Energy Conservation (EC) and Emission Reduction (ER) Technology Based on Genetic Algorithm (GA). Academic Journal of Energy (2022), Vol. 3, Issue 3: 28-39. https://doi.org/10.38007/RE.2022.030304.

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