Energy survey and analysis based on four US states

2018 International Conference on Air Pollution and Environmental Engineering

生态环境科学

Tian, Wenbo^1

School of Energy and Power Engineering, North China Electric Power University, Baoding, China^1

关键词: Analytic hierarchy process (ahp);    Energy productions;    Energy surveys;    Energy sustainability;    Entropy weight method;    Manual intervention;    Renewable energies;    Resource consumption;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/208/1/012064/pdf
DOI  :  10.1088/1755-1315/208/1/012064

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

For problem A, by appropriate ways, the data provided is filtered to gain five major energy data for each state: crude oil, coal, natural gas, nucleus and renewable energy. Energy profiles for each state are obtained by plotting line charts. For problem B, A three-level indicator system is constructed to analyse and compare the energy status of each state. From 605 variables given, 23 third-level indicators are selected by principal component analysis (PCA) and manual intervention. 5 secondary indicators elected by fuzzy cluster analysis are energy economic benefits (EEB), energy structure (EST), energy sustainability (ESB), energy consumption (ECP) and Energy production (EPD). Then the indicator system is weighted by the portfolio weighting method (PWE). The weights of secondary indicators are calculated via analytic hierarchy process (AHP). And third-level indicators are calculated by entropy weight method (EWM), in order to measure the energy situation in each state. Their effect on energy profiles is analysed intelligibly, combining with the various factors.