scholarly journals Research on Dynamic Evolution Simulation and Sustainability Evaluation Model of China’s Power Supply and Demand System

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 2009
Author(s):  
Jin-peng Liu ◽  
Yu Tian ◽  
Hao Zheng ◽  
Tao Yi
Keyword(s):  
Power Supply ◽  
Evaluation Model ◽  
Supply And Demand ◽  
Interaction Mechanism ◽  
Principal Component ◽  
Demand System ◽  
Demand Systems ◽  
Evolution Simulation ◽  
Sustainability Problems ◽  
The Ideal

Power supply and demand systems are important support systems for industrial production and residents’ lives. They have multiple influencing factors, and complex mechanisms of interaction exist among these factors. In view of the present sustainability problems faced by China’s power supply and demand system, this research adopts a system dynamics (SD) model to simulate the evolution of China’s power supply and demand system, and analyzes the interaction mechanism of various elements of the system. Based on this, an innovative index system for the evaluation of the sustainability of power supply and demand systems is proposed based on the four elements of total amount, structure, technology and environment. Furthermore, by integrating Principal Component Analysis (PCA) and State Space (SS) method, a PCA-SS evaluation model is constructed to explore the development bottleneck of China’s power supply and demand system. The results show that there is still a large gap between the actual sustainability and the ideal range, and that the sustainability of structural and environmental layers needs further improvement. This research expands the knowledge system regarding the evaluation of the sustainability of power supply and demand systems and provides a theoretical reference for the optimization of China’s power supply and demand system.

Growth Ceiling of Energy Efficiency and Countermeasure Archetype in Electric Power Supply and Demand System

2013 ◽  
Vol 291-294 ◽  
pp. 1297-1302 ◽  
Author(s):  
Qing You Yan ◽  
Xin Fa Tang ◽  
Juan Juan Cao ◽  
Chao Kong
Keyword(s):  
Energy Efficiency ◽  
Electric Power ◽  
Power Supply ◽  
Supply And Demand ◽  
Feedback Mechanism ◽  
Electric Power System ◽  
Demand System ◽  
Efficiency Improvement ◽  
Electric Power Supply ◽  
Energy Efficiency Improvement

Energy efficiency depends on the profit that the consumed energy contributes to human need system for the sustainable development. With the increasing importance of coordinate development of environment, economic and electric power system, it is more and more difficult to choose the right improvement path and mechanism of energy efficiency in electric-power supply and demand system. After analyzing the feedback mechanism of energy efficiency improvement of the electric power supply and demand system, energy efficiency improvement which caused the growth ceiling was found along with some inhibition factors in the process of energy efficiency improvement. In view of the energy efficiency improvement growth ceiling of the electric-power supply and demand system, the end treatment mechanism was introduced as a countermeasure which inputs environmental costs to the power supply chain. Furthermore, government guides and participates in energy efficiency investment, which was regarded as another countermeasure attached much importance. So the improvement of energy efficiency in supply and demand system of electric power can be maximized.

scholarly journals An Evaluation Model of Green Coal Supplier for Thermal Power Supply Chain Based on PCA-SVM

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Qian Zhang ◽  
Hai Shen ◽  
Yuanyuan Huo
Keyword(s):  
Supply Chain ◽  
Power Supply ◽  
Evaluation Model ◽  
Thermal Power ◽  
Principal Component ◽  
Calorific Value ◽  
Evaluation Index System ◽  
Support Vector ◽  
Supplier Evaluation ◽  
Evaluation Indexes

A thermal power supply chain differs from other supply chains in terms of supplier selection, materials transportation, products marketing, and so on. Therefore, the green coal supplier evaluation model has its own characteristics. Although many methods have been developed to solve the green supplier evaluation problem, little is known about how to evaluate the green coal supplier in the thermal power supply chain. To overcome this drawback, an evaluation index system for the green coal supplier is established, and new indexes such as price based on calorific value, quality indexes based on the designed coal type, and transportation indexes such as transportation carbon footprint and environment indexes are created according to the characteristic of the thermal power supply chain. Then, principal component analysis (PCA) is used to create the main evaluation indexes, and the support vector machine (SVM) is adopted for the evaluation model. Finally, a practical example is applied to show that the model established in this paper outperforms others in evaluation accuracy.

Construction of User Response Subsystem for Energy Efficiency of Electric Power Supply and Demand System

2014 ◽  
Vol 1044-1045 ◽  
pp. 272-275
Author(s):  
Xin Fa Tang ◽  
Li Hong Wu ◽  
You Wei Wan ◽  
Yue Ming Cheng
Keyword(s):  
Energy Efficiency ◽  
Electric Power ◽  
Power Supply ◽  
Supply And Demand ◽  
Feedback Mechanism ◽  
Demand System ◽  
Engineering System ◽  
Electric Power Supply ◽  
Energy Efficiency Improvement ◽  
Complex Engineering

The improvement of energy efficiency in electric power supply and demand system is involved in energy production, distribution, and using, which is a complex engineering system. Using the system theory we studied the optimization of overall resources of electric power supply and demand system. After the complex feedback mechanism of energy efficiency improvement analyzed in electric power supply and demand system, we thought that only by construction of user response subsystem can improve the energy efficiency of electric power supply and demand system. Then, some feasible suggestions for user responding subsystem were put forward.

Research on Supply and Demand of Xi'an Real Estate Market

2011 ◽  
Vol 368-373 ◽  
pp. 3078-3082
Author(s):  
Zhou Ji Meng ◽  
Tao Zhou ◽  
Shu Hua Gao
Keyword(s):  
Principal Component Analysis ◽  
Spectral Analysis ◽  
Real Estate ◽  
Spectral Density ◽  
Supply And Demand ◽  
Principal Component ◽  
Real Estate Market ◽  
Medium Term ◽  
Real Estate Price ◽  
Synthetic Indicators

In the passage, the indicators of supply and demand of real estate market in Xi'an are established, and such indicators are synthesized into a class of synthetic indicators using “principal component analysis”. After the spectral analysis of synthetic indicators, periodic change of supply and demand of real estate through spectral density could be determined. Through the analysis, great randomness existed in supply and demand of real estate in Xi’an. Furthermore, in the medium term, a 3.3 years’ secondary cycle still existed in synthetic indicators of demand, while randomness existed in synthetic indicators of supply. Such findings suggest a declined trend existed in real estate price in medium term of Xi’an.

scholarly journals Overcapacity Risk of China’s Coal Power Industry: A Comprehensive Assessment and Driving Factors

2021 ◽  
Vol 13 (3) ◽  
pp. 1426
Author(s):  
Delu Wang ◽  
Xun Xue ◽  
Yadong Wang
Keyword(s):  
Evaluation Model ◽  
Supply And Demand ◽  
Correlation Effect ◽  
Power Industry ◽  
Environmental Benefits ◽  
Risk Level ◽  
Correlation Based Feature Selection ◽  
Coal Power ◽  
And Control ◽  
The Impact

The comprehensive and accurate monitoring of coal power overcapacity is the key link and an important foundation for the prevention and control of overcapacity. The previous research fails to fully consider the impact of the industry correlation effect; making it difficult to reflect the state of overcapacity accurately. In this paper; we comprehensively consider the fundamentals; supply; demand; economic and environmental performance of the coal power industry and its upstream; downstream; competitive; and complementary industries to construct an index system for assessing coal power overcapacity risk. Besides; a new evaluation model based on a correlation-based feature selection-association rules-data envelopment analysis (CFS-ARs-DEA) integrated algorithm is proposed by using a data-driven model. The results show that from 2008 to 2017; the risk of coal power overcapacity in China presented a cyclical feature of “decline-rise-decline”, and the risk level has remained high in recent years. In addition to the impact of supply and demand; the environmental benefits and fundamentals of related industries also have a significant impact on coal power overcapacity. Therefore; it is necessary to monitor and govern coal power overcapacity from the overall perspective of the industrial network, and coordinate the advancement of environmental protection and overcapacity control.

Spatial clustering analysis of green economy based on knowledge graph

2021 ◽  
pp. 1-10
Author(s):  
Shiyuan Zhou ◽  
Xiaoqin Yang ◽  
Qianli Chang
Keyword(s):  
Spatial Data ◽  
Clustering Analysis ◽  
Spatial Clustering ◽  
Evaluation Model ◽  
Principal Component ◽  
Green Economy ◽  
Membership Degree ◽  
Two Dimensional ◽  
Dimensional Graph ◽  
Improved Algorithm

By organically combining principal component analysis, spatial autocorrelation algorithm and two-dimensional graph theory clustering algorithm, the comprehensive evaluation model of regional green economy is explored and established. Based on the evaluation index system of regional green economy, this paper evaluates the development of regional green economy comprehensively by using principal component analysis, and evaluates the competitive advantage of green economy and analyzes the spatial autocorrelation based on the evaluation results. Finally, the green economy and local index score as observed values, by using the method of two-dimensional graph clustering analysis of spatial clustering. In view of the fuzzy k –modes cluster membership degree measure method without considering the defects of the spatial distribution of object, double the distance and density measurement of measure method is introduced into the fuzzy algorithm of k –modes, thus in a more reasonable way to update the membership degree of the object. Vote, MUSH-ROOM and ZOO data sets in UCI machine learning library were used for testing, and the F value of the improved algorithm was better than that of the previous one, indicating that the improved algorithm had good clustering effect. Finally, the improved algorithm is applied to the spatial data collected from Baidu Map to cluster, and a good clustering result is obtained, which shows the feasibility and effectiveness of the algorithm applied to spatial data. Results show that the development of green economy using the analysis method of combining quantitative analysis and qualitative analysis, explores the connotation of green economy with space evaluation model is feasible, small make up for the qualitative analysis of the green economy in the past, can objective system to reflect the regional green economic development level, will help policy makers scientific formulating regional economic development strategy, green integrated development of regional green economy from the macroscopic Angle, the development of network system.

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