Abstract
This study fully considers the incomparable factors in city's energy efficiency assessment, and proposes a framework for city's energy efficiency assessment based on classification. In the process of classifying cities, the SVM method is used to establish a quantitative relationship model between relevant factors and city's energy consumption. Based on the model, the objective energy demand of the city is calculated, and the city is classified according to the level of objective energy demand. By comparing the actual energy consumption of the city with the objective energy demand, we can eliminate the interference of the incomparable factors on the city's energy efficiency assessment.
Highlights
At present, China has been evaluating and managing the city's energy efficiency through the energy-saving targetoriented responsibility system
Literature analyzed the relationship between energy efficiency and city’s population, economic and social conditions, including the city’s GDP, industrial structure, geography location, natural resources, energy price, technology level, investment, government regulation, etc [5][6][7], which lead to our attention on the diversity and comparability of cities in the process of energy efficiency assessment. [8][9][10]
The model is applied to all samples,and the obtained city’s energy consumption output is the objective energy consumption demand we want to calculate. When using this model to evaluate cities, we need to compare the actual energy consumption of the city with the objective energy demand calculated based on the model, as a basis for judging the advanced level of city’s energy efficiency
Summary
China has been evaluating and managing the city's energy efficiency through the energy-saving targetoriented responsibility system. The target of reducing energy consumption per unit of GDP during the period of “13th Five-Year Plan” is a 15% reduction from the 2015 level, and require each city government to implement it Those who fail to meet this target will held accountable through a “one-vote veto” mechanism. This study believes that there are many problems in this system, which include: firstly, the use of energy consumption per unit of GDP as the main indicator to rank all the cities in China ignores the diversity and comparability in this issue. Literature analyzed the relationship between energy efficiency and city’s population, economic and social conditions, including the city’s GDP, industrial structure, geography location, natural resources, energy price, technology level, investment, government regulation, etc [5][6][7], which lead to our attention on the diversity and comparability of cities in the process of energy efficiency assessment. This study focuses on the comparability among cities while conducting the energy efficiency assessment, taking into account the impact of uncontrollable factors such as geographic location and climatic conditions, so as to establish a more equitable way of assessing energy efficiency of cities
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