New Energy Utilization Rate and Coal Energy Economic Development Based on the Fuzzy Network Algorithm

Author:

Wang Cong1ORCID,Xu Yufei2ORCID

Affiliation:

1. School of Economics, Ocean University of China, Qingdao 266000, China

2. College of Mechanical and Electrical Engineering, China University of Petroleum, Qingdao 266000, China

Abstract

Energy is an important foundation for the normal development and operation of society. With the rapid development of human society, energy consumption is increasing, energy supply is becoming more and more tenser, and energy consumption is excessively dependent on traditional fossil energy, which will cause serious pollution to the environment. In this regard, this article combines the actual needs of wireless sensor network nodes with limited energy consumption and conducts extensive research on the utilization rate of new energy in a city. By viewing related literature, relevant information on the Internet are collected and collated and then comprehensively analyzed. The main research purpose of this paper is to explore the law of new energy utilization rate in a certain city, determine the methods and paths that can realize the large-scale utilization of new energy, and provide reference materials for urban construction managers. Next, based on the study of coal energy, this article learns that the coal energy output of a certain province accounts for more than 99% of the total energy output. During the period of industrial restructuring, long-term industrial development was carried out under the traditional large-scale model. The development model of high energy consumption and high pollution had a serious impact on the ecological environment, leading to economic development at the expense of the environment in exchange for economic growth. The model is no longer applicable to the existing economic system. This article uses wireless sensing-based research on the utilization of new energy and applies it to the study of coal energy economic development, aiming to promote its better development.

Funder

Ocean University of China

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Reference15 articles.

1. Assessment of health-cost externalities of air pollution at the national level using the EVA model system;J. Brandt,2011

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