Economic analysis and optimization of energy technology based on the matrix model thermoeconomics theory

Economic analysis and optimization of energy technology based on the matrix model thermoeconomics theory

Liang Chen

School of Economics and Trade, Hunan University, Changsha 410082, China

Corresponding Author Email: 
Chliang000@163.com
Page: 
1233-1239
|
DOI: 
https://doi.org/10.18280/ijht.360410
Received: 
14 January 2018
| |
Accepted: 
23 July 2018
| | Citation

OPEN ACCESS

Abstract: 

The matrix model thermoeconomics theory has been widely applied in the energy technology analysis to optimize energy technologies, improve energy utilization efficiency and reduce pollutant emissions. This paper uses the matrix model thermoeconomics theory to analyze the thermodynamics and economics of the energy thermodynamic system, adopts the simulation technology for modelling and then gives an optimized strategy. According to the research results, the matrix model thermoeconomics theory takes into account both thermodynamics and economics when being applied to address energy technology problems, so the analysis is more comprehensive and accurate; the improved local-global decomposition optimization method (LGDO), by combining the advantages of both “global optimization” and “local optimization”, has the characteristics of fast convergence and low error, making it more applicable. Through this research, it can be found that the energy technology analysis based on the matrix model thermoeconomics theory is of important theoretical and practical significance in improving the energy utilization and core competitiveness of energy technologies in China.

Keywords: 

thermoeconomics, matrix model, energy technology, economic analysis

1. Introduction
2. Establishment and Solution of the Simulation Model for Energy Thermodynamic System and Carbon Dioxide Emission Reduction System
3. Thermoeconomic Cost Analysis of the Energy Thermodynamic System
4. Thermoeconomic Optimization of the Energy Thermodynamic System
5. Conclusions
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