An energy‐efficiency evaluation method for high‐sulfur natural gas purification system using artificial neural networks and particle swarm optimization

2021 ◽  
Author(s):  
Min Qiu ◽  
Zhongli Ji ◽  
Limin Ma
Keyword(s):  
Neural Networks ◽  
Energy Efficiency ◽  
Particle Swarm Optimization ◽  
Evaluation Method ◽  
Efficiency Evaluation ◽  
Gas Purification ◽  
Swarm Optimization ◽  
Natural Gas Purification ◽  
Purification System ◽  
Energy Efficiency Evaluation

scholarly journals Energy efficiency evaluation method for submersible pushingflow agitator for sewage treatment

2018 ◽  
Vol 53 ◽  
pp. 04012
Author(s):  
Zhang Xiaoxin ◽  
Huang Jin ◽  
Lin Ling ◽  
Wang Yueping ◽  
Zhang Xinheng
Keyword(s):  
Energy Efficiency ◽  
Evaluation Method ◽  
Sewage Treatment ◽  
Efficiency Evaluation ◽  
Calculation Formula ◽  
Factors Affecting ◽  
Research Advance ◽  
Energy Efficiency Evaluation ◽  
At Home

This paper introduced the development and research advance of the submersible pushing-flow agitator for sewage treatment at home and abroad. By analyzing four factors affecting the energy efficiency of the submersible pushing-flow agitator, the energy efficiency evaluation method and calculation formula of the submersible pushing-flow agitator for sewage treatment in China are analyzed and discussed in this paper.

scholarly journals User Deep Energy Efficiency Evaluation via Load Perception and Clustering

2021 ◽  
Vol 2078 (1) ◽  
pp. 012007
Author(s):  
Shuran Zhai ◽  
Zhaojie Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Electricity Consumption ◽  
Fuzzy Comprehensive Evaluation ◽  
Efficiency Evaluation ◽  
Fuzzy Evaluation ◽  
Consumption Behaviour ◽  
Energy Efficiency Evaluation

Abstract With the constantly upgrading of the living level of urban residents, the types and quantities of domestic appliances continue to increase, and the electricity consumption behaviour is becoming more and more complex. Based on the fine-grained user energy consumption data obtained by load intelligent perception, this paper proposes a user energy efficiency evaluation method through fuzzy comprehension evaluation. First, the energy consumption characteristics at appliance level which can effectively represent energy consumption behaviour of users are designed and filtered, and then the energy efficiency evaluation strategy of appliances based on fuzzy comprehensive evaluation is established. The strategy adopts two-level fuzzy comprehensive evaluation. The first appliance-level fuzzy evaluation realizes the energy efficiency evaluation of the appliances. The second level is the comprehensive evaluation of user energy efficiency based on the appliance energy efficiency assessment, and the target users are divided into different energy efficiency levels. The measured data-based analysis results prove the effectiveness of the proposed method, and the results can guide users to optimize their electricity consumption behaviour scientifically and realize energy saving and carbon reduction.

scholarly journals An Energy Efficiency Evaluation Method Based on Energy Baseline for Chemical Industry

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Dong-mei Yao ◽  
Xin Zhang ◽  
Ke-feng Wang ◽  
Tao Zou ◽  
Dong Wang ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Chemical Industry ◽  
Evaluation Method ◽  
Efficiency Evaluation ◽  
Chemical Production ◽  
Plan Implementation ◽  
Ethylene Plant ◽  
Petrochemical Enterprise ◽  
Implementation Effect ◽  
Energy Efficiency Evaluation

According to the requirements and structure of ISO 50001 energy management system, this study proposes an energy efficiency evaluation method based on energy baseline for chemical industry. Using this method, the energy plan implementation effect in the processes of chemical production can be evaluated quantitatively, and evidences for system fault diagnosis can be provided. This method establishes the energy baseline models which can meet the demand of the different kinds of production processes and gives the general solving method of each kind of model according to the production data. Then the energy plan implementation effect can be evaluated and also whether the system is running normally can be determined through the baseline model. Finally, this method is used on cracked gas compressor unit of ethylene plant in some petrochemical enterprise; it can be proven that this method is correct and practical.

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