Comprehensive Energy Consumption Assessment Based on Industry Energy Consumption Structure Part II: Assessment and Forecasting of Energy Consumption in Key Industries at Zhejiang
Yujia Zhang, Siyu Zheng, Suyang Zhou, Juan Zuo
Abstract
Yujia Zhang, Siyu Zheng, Suyang Zhou, Juan Zuo
Abstract
Facing the new requirements of energy development and transformation, adjusting the energy consumption structure and controlling the total energy consumption has become the focus of our country’s current urban energy management. Aiming at six key industries in Ningbo, Zhejiang, China, this paper selects five factors that affect the structure of energy consumption from two dimensions of economy and technology, and uses time series data and grey relational analysis method to evaluate the correlation between the five factors and the energy consumption structure of each industry. On this basis, the importance of factors affecting the structure of energy consumption and its industrial characteristics are deeply analyzed. In addition, according to the historical data characteristics of energy consumption in the six key energy-consuming industries in Ningbo, from 2010 to 2020, the trend extrapolation method is used to directly predict the proportion of electric energy consumption in the future years, and the estimation formula of comprehensive energy consumption and comprehensive carbon consumption of the industry is given.
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Facing the new requirements of energy development and transformation, adjusting the energy consumption structure and controlling the total energy consumption has become the focus of our country’s current urban energy management. Aiming at six key industries in Ningbo, Zhejiang, China, this paper selects five factors that affect the structure of energy consumption from two dimensions of economy and technology, and uses time series data and grey relational analysis method to evaluate the correlation between the five factors and the energy consumption structure of each industry. On this basis, the importance of factors affecting the structure of energy consumption and its industrial characteristics are deeply analyzed. In addition, according to the historical data characteristics of energy consumption in the six key energy-consuming industries in Ningbo, from 2010 to 2020, the trend extrapolation method is used to directly predict the proportion of electric energy consumption in the future years, and the estimation formula of comprehensive energy consumption and comprehensive carbon consumption of the industry is given.
Key concepts: Energy consumption, Consumption (sociology), Energy accounting, Environmental economics, Extrapolation, Energy intensity, Key (lock), Energy (signal processing)