With the development of China’s energy structure adjustment and energy conservation and emission reduction, China’s carbon trading market has been fully launched. As an important participant in the carbon trading market, thermal power enterprises that play a major role in China’s power supply structure may bear huge environmental cost pressures, including carbon transaction costs. Under such a circumstance, thermal power enterprises urgently need to ensure operating performance through environmental cost management. This article takes the thermal performance of Chinese thermal power companies under the background of carbon trading as the study object, designs a measurement method for the environmental costs of thermal power companies, and analyzes the influence mechanism of the environmental cost based on the principle of system dynamics. Relying on the correlation analysis between environmental costs and business performance of thermal power companies, the company’s business performance is evaluated by data envelopment analysis (DEA) efficiency. After reaching the study conclusion, the article proposes an optimization strategy for thermal enterprises to manage and control their environmental cost and business performance. This paper closely integrates the actual background of carbon trading, including carbon transaction costs into environmental costs, and conducts an econometric analysis. It constructs a composite measurement of environmental costs that accounts for carbon transaction costs and conducts performance evaluations of power generation companies based on factors such as environmental costs, which all has a certain degree of innovation.
Abstract:In the context of energy crisis, environmental pollution, and energy abandoning in the large-scale centralized clean energy generation, distributed energy has become an inevitable trend in the development of China's energy system. Distributed photovoltaic boasts great potential for development in China due to resource advantages and policy support. However, we need improve the efficiency of photovoltaic generation, which is restricted by technology and dislocation of supply and demand. With a view to optimizing the efficiency of distributed photovoltaic, based on the concept of comprehensive efficiency, this paper discusses the influencing factors and chooses the optimization direction according to system dynamics (SD). The optimizing content is further clarified on the basis of energy management system. From the perspective of technology, this paper puts forward optimization methods from resource side, energy conversion and demand side, and the simulation results of applying the three methods verify the feasibility of the method. Comprehensive efficiency would be improved as the result of regional integrated energy management system and policy mechanisms. The conclusions of this paper will provide theoretical basis and optimized reference for the improvement of distributed photovoltaic comprehensive utilization in China.
Abstract:The clean development of China's power supply structure has become a crucial strategic problem for the low-carbon, green development of Chinese society. Considering the subsistent developments of optimized allocation of energy resources and efficient utilization, the urgent need to solve environmental pollution, and the continuously promoted power market-oriented reform, further study of China's power structure clean development has certain theoretical value. Based on the data analysis, this paper analyzes the key factors that influence the evolution process of the structure with the help of system dynamics theory and carries out comprehensive assessments after the construction of the structure evaluation system. Additionally, a forecasting model of the power supply structure development based on the Vector Autoregressive Model (VAR) has been put forward to forecast the future structure. Through the research of policy review and scenario analysis, the paths and directions of structure optimization are proposed. In this paper, the system dynamics, vector autoregressive model (VAR), policy mining, and scenario analysis methods are combined to systematically demonstrate the evolution of China's power structure, and predict the future direction of development. This research may provide a methodological and practical reference for the analysis of China's power supply structure optimization development and for theoretical studies.
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