Power Enterprises Research Articles

Measuring carbon emission performance in China's energy market: Evidence from improved non-radial directional distance function data envelopment analysis

The most complex challenge facing the energy market is identifying effective solutions to reduce CO2 emissions (CEs) and enhance environmental performance (EP). Coal production within the power sector is the primary source of these emissions. In this study, we developed a novel linear programming model that accounts for undesirable outputs to assess the EP of 15 power enterprises in eastern China from 2016 to 2020. In addition, we employed a global non-radial Malmquist-Luenberger productivity index (GNML) to analyse the mechanisms influencing changes in efficiency among these enterprises. Our findings indicate that, while the EP of the power industry in eastern China improved, it remains at a relatively low level and exhibits instability. Moreover, technological efficiency (TE) and scale efficiency (SE) play a significant role in determining production efficiency within the sector. Therefore, it is essential for industry managers to implement standardized production management regulations, enhance technological development and scale investments, and strengthen control over unintended emissions that could facilitate energy transition.

Determination of Financial Performance in Electric Power Enterprises with Entropy Weighted WASPAS Analysis Method

In this study, Entropy weighted WASPAS method is applied to measure the financial performance of 11 electric power enterprises operating in Borsa Istanbul (BIST) for the period of 2022. 7 financial ratios for the year 2022 were accepted as criteria and the financial success ranking of 11 electric power enterprises was made. The financial ratios used in the study were selected among the ratios that can provide information about the liquidity and profitability status of the enterprises. In the first stage of the application, Entropy method was used to determine the criteria weights. The determined criteria weights were prioritized and used in the WASPAS (Weighted Aggregated Sum Product Assessment) method. Then, the financial performance of electric energy enterprises was ranked by making an evaluation with the WASPAS method.

ANALIZA PRELIMINARĂ DE VALORIFICARE A SISTEMELOR FOTOVOLTAICE INTEGRATE ÎN CLĂDIRI LA ÎNTREPRINDERILE TERMOENERGETICE

The research carried out in this paper focuses on the study of the integration of photovoltaic panels into buildings, a solution known as BIPV (Building Integrated Photovoltaics), which represents a new form of solar energy use: these are building materials, but these also facilitate the generation of solar electricity on additional surfaces and allow an optimisation of the overall operation as a main source of electricity and can also be seamlessly integrated into the building envelope and its components. In the paper, the opportunities for development of building-integrated photovoltaic systems at thermal power enterprises were analysed, using concrete data of the JSC "CET-Nord" in the Republic of Moldova as an example for further research, as well as determining the potential photovoltaic capacity of administrative and production buildings of the enterprise. This will help to improve the understanding of the impact of BIPV systems on the energy transition of cities and on the notion of near-zero energy cities in Europe, by identifying possible future approaches to BIPV that can be used by energy specialists as well as architects and urban planners to assess how much of the energy used by buildings could be provided by BIPV systems when implemented as building envelope materials across the entire building envelope.

Coordination of Renewable Energy Integration and Peak Shaving through Evolutionary Game Theory

This paper presents a novel approach to optimizing the coordination between renewable energy generation enterprises and power grid companies using evolutionary game theory. The research focuses on resolving conflicts and distributing benefits between these key stakeholders in the context of large-scale renewable energy integration. A theoretical model based on replicator dynamics is developed to simulate and analyze the evolutionary stable strategies of power generation enterprises and grid companies with particular emphasis on peak shaving services and electricity bidding. These simulations are based on theoretical models and do not incorporate real-world data directly, but they aim to replicate scenarios that reflect realistic behaviors within the electricity market. The model is validated through dynamic simulation under various scenarios, demonstrating that the final strategic choices of both thermal power and renewable energy enterprises tend to evolve towards either high-price or low-price bidding strategies, significantly influenced by initial system parameters. Additionally, this study explores how the introduction of peak shaving compensation affects the coordination process and stability of renewable energy integration, providing insights into improving grid efficiency and enhancing renewable energy adoption. Although the results are simulation-based, they are designed to offer practical recommendations for grid management and policy development, particularly for the integration of renewable energies such as wind power in competitive electricity markets. The findings suggest that effective government regulation, alongside well-designed compensation mechanisms, can help establish a balanced interest distribution between stakeholders. By offering a clear framework for analyzing the dynamics of renewable energy integration, this work provides valuable policy recommendations to promote cooperation and stability in electricity markets. This study contributes to the understanding of the complex interactions in the electricity market and offers practical solutions for enhancing the integration of renewable energy into the grid.

Research on the Multi-Agent Evolutionary Game Behavior of Joint Operation between Coal Power Enterprises and New Energy Power Enterprises under Government Supervision

Research on the Multi-Agent Evolutionary Game Behavior of Joint Operation between Coal Power Enterprises and New Energy Power Enterprises under Government Supervision

Real-time pricing considering carbon constraints for smart grid with multiple energy sources

With the escalation of fossil fuel pollution and the challenges of climate change, the smart grid is forced to address the carbon emissions associated with fossil fuel use. Real-time pricing of smart grid is an effective means to regulate the balance of supply and demand in the grid as well as to achieve energy conservation and environmental protection. This paper takes traditional fossil energy and clean energy power supply as the background, takes social welfare maximization as the goal, combines carbon emission cost with traditional power generation cost, and constructs a real-time pricing model that takes into account carbon emission cost, so that thermal power enterprises participate in the power market and carbon market at the same time. By using duality methods, we transformed the original optimization problem into an equivalent one. Furthermore, a distributed iterative algorithm based on the subgradient projection method is employed to solve the dual problem. The simulation results verify the feasibility and effectiveness of the proposed real-time pricing strategy.

Unlocking wind power potential: The pivotal role of R&D investment in boosting wind power enterprise performance

Boosting the core competitiveness and operational efficiency of enterprises while minimizing costs through strategic R&D investments is crucial for the advancement of wind power companies. This paper examines data from listed wind power enterprises from 2015 to 2023 and develops a detailed multiple linear regression model for comprehensive analysis. Goldwind Science & Technology Co., Ltd. is used as a case study. The paper explores the impact of R&D investment on wind power enterprise performance through empirical and case analyses, revealing several key insights. First, both R&D intensity and per capita R&D investment positively affect wind power enterprise performance, with R&D intensity having a more substantial impact. Second, the case study of Goldwind demonstrates a clear positive correlation between R&D intensity, per capita R&D investment, and corporate performance. Third, the impact mechanism analysis shows that increased R&D investment enhances Goldwind's technological advancements, leading to new products that meet market demand and improve enterprise performance. Based on these findings, the paper proposes policy recommendations, including increasing R&D investment and recruiting more scientific researchers.

Green transformation and performance synergy efficiency of china’s thermal power enterprises on the basis of the environmental tax burden

Global climate change and the collection of environmental protection taxes are accelerating the green transformation of thermal power enterprises. This study selected Chinese thermal power listed companies as samples and used a dynamic three-stage (operational, green transformation, and market performance) network DEA model to evaluate their transformation efficiency and corporate performance. This paper incorporates targeted indicators such as ESG (environment, society, governance) and stock prices into the model and conducts a comparative study on the basis of macro policies and the geographical location of the enterprise. A comparative analysis was conducted on the efficiency of enterprises before and after the adjustment of the environmental tax burden, using the environmental tax burden as an exogenous variable. Thus, the following conclusions can be drawn: there is a certain positive correlation between the collaborative efficiency of the two links of thermal power enterprises and the economic development of their respective regions. Moreover, the green transformation efficiency of most thermal power enterprises is superior to the market performance efficiency. The environmental tax burden mainly improves the overall efficiency of thermal power enterprises by improving their operational efficiency and efficiency in the green transformation stage without affecting market performance. To further improve efficiency, thermal power enterprises should actively communicate with stakeholders to strive for more financial relief.

Study of Flexibility Transformation in Thermal Power Enterprises under Multi-Factor Drivers: Application of Complex-Network Evolutionary Game Theory

With the increasing share of renewable energy in the grid and the enhanced flexibility of the future power system, it is imperative for thermal power companies to explore alternative strategies. The flexible transformation of thermal power units is an effective strategy to address the previously mentioned challenges; however, the factors influencing the diffusion of this technology merit further investigation, yet they have been seldom examined by scholars. To address this gap, this issue is examined using an evolutionary game model of multi-agent complex networks, and a more realistic group structure is established through heterogeneous group differentiation. With factors such as group relationships, diffusion paths, compensation electricity prices, and subsidy intensities as variables, several diffusion scenarios are developed for research purposes. The results indicate that when upper-level enterprises influence the decision-making of lower-level enterprises, technology diffusion is significantly accelerated, and enhanced communication among thermal power enterprises further promotes diffusion. Among thermal power enterprises, leveraging large and medium-sized enterprises to promote the flexibility transformation of units proves to be an effective strategy. With regard to factors like the compensation price for depth peak shaving, the initial application ratio of groups, and the intensity of government subsidies, the compensation price emerges as the key factor. Only with a high compensation price can the other two factors effectively contribute to promoting technology diffusion.

How to Construct a Carbon Asset Management System for Chinese Power Enterprises: A Survey-Based Approach

The greenhouse effect of atmospheric pollution is globally concerning. China is transitioning to market-driven emission reduction from policy-driven efforts. In 2021, key power industry emitters were included in the national carbon trading market. However, many companies lack willingness and understanding of carbon assets, hindering progress. Research on power companies in Beijing, a political and carbon market pilot region, is valuable. This study obtained data on the participation of Beijing’s power generation companies in the carbon market and the construction of their carbon management systems during the first compliance period through the distribution of surveys. The findings revealed that the implementation and preparation of carbon inventory, Chinese Certified Emission Reduction (CCER) development, the allocation of carbon management personnel, and training are key factors influencing the actual effectiveness of carbon management within companies. Based on the survey results and the impact pathways, this study outlines the preparatory work, system content, and construction steps for power companies to build a carbon management system. It summarizes five key areas of work for power companies in managing carbon assets: carbon inventory, carbon management personnel and mechanisms, carbon trading, carbon emission reduction, and carbon finance. This provides guidance to help power companies fulfill their obligations smoothly, add value to their carbon assets, and achieve low-carbon development goals. Additionally, it offers a reference for other industry enterprises that are about to enter carbon trading.

An Efficiency Evaluation and Driving Effect Analysis of the Green Transformation of the Thermal Power Industrial Chain: Evidence Based on Impacts and Challenges in China

The high carbon emissions and pollution of China’s thermal power industry chain have exacerbated environmental and climate degradation. Therefore, accelerating the green transformation process is of great significance in promoting the sustainable development of enterprises. This study selected 30 listed thermal power enterprises in China as research objects, analyzed their data from 2018 to 2022, set targeted input–output indicators for different stages, and used a two-stage dynamic data envelopment analysis (DEA) model to evaluate and measure the efficiency of the green transformation of Chinese thermal power enterprises. In addition, this study also uses the logarithmic mean Divisia index (LMDI) method to analyze the driving effects of green transformation. The results indicate that in terms of overall efficiency, there is a significant difference in the overall performance of these 30 thermal power enterprises, with a large difference in average efficiency values. Efficiency values are related to enterprise size. In terms of stage efficiency, the average efficiency value of thermal power enterprises in the profit stage was significantly higher than that in the transformation stage, and the profitability of Chinese thermal power enterprises was better. In terms of sub-indicator efficiency, the efficiency of each indicator shows a “U”-shaped trend, and there is a certain correlation between the operating costs and revenue of thermal power enterprises, the market value of green transformation, and related indicators. In addition, the most important factor affecting the efficiency of green transformation is the sewage cost they face, whereas their operational capabilities have the least impact on their green transformation. In this regard, thermal power enterprises should increase their investment in the research and development of key technologies for thermal power transformation and continuously optimize their energy structure. The government will increase financial support for thermal power green transformation enterprises and correspondingly increase emission costs.

Концепция бережливого производства в контексте обеспечения экономической безопасности предприятия электроэнергетики

The article substantiates the effectiveness of disseminating the philosophy of lean production at electric power enterprises. It is shown that the methods of the concept under consideration give a positive effect when applied in combination. Destructive factors that generate losses, overload, and uneven production are also present in the activities of electricity enterprises. Adaptation of lean production methods to the specifics of the functioning of energy companies makes it possible to level out the unproductive expenditure of enterprise resources. By reducing the cost of electricity generation, energy companies are able to reduce the cost of electricity generation while maintaining the quality and volumes generated. At the same time, there is an improvement in a number of indicators that form the cost of production, which has a beneficial effect on the level of economic security of the enterprise.

Sci-tech Finance and Technological Innovation of AI Computing Power Enterprises: Based on the Perspective of Financial Regulation

As the new round of technological revolution continues to evolve, computing power is progressively emerging as the "new qualitative productive force" in the era of digital economy; AI computing power, being the core component of computing power, has consequently garnered extensive attention. This study examines the impact of sci-tech finance on the technological innovation of AI computing power enterprises, the mechanism of action, and the role of financial regulation, using data from Chinese A-share listed AI computing power enterprises from 2014 to 2022. The findings are as follows: Firstly, the development of sci-tech finance significantly enhances the technological innovation capacity of AI computing power enterprises. Secondly, the alleviation of financing constraints partially mediates this effect. Thirdly, overall financial regulation exerts a negative regulatory effect on the relationship between sci-tech finance and technological innovation; specifically, financial regulation in the eastern region has a negative regulatory role, whereas in the non-eastern regions, it exhibits a positive regulatory role. These research conclusions hold certain implications and reference value for enhancing the sci-tech finance system, fostering the development of the computing power industry, and reforming the regulatory system.

Application of Data Security Protection in Smart Grid Based on Computer Electronic Technology

Abstract With the continuous improvement of the intelligence level of the State Grid, data security protection in power system automation has become an important challenge for the development of power enterprises. In order to solve this problem, this article is based on the research of power system structure, data types, and the current development status of security protection, combined with computer electronics technology, to conduct in-depth research on data security protection in power system automation, and establish a security protection model based on its theoretical foundation. In order to verify the effectiveness of the model, this paper tested it from three dimensions: data security protection degree, risk processing efficiency, and response time, and compared it with traditional security protection models. The test results show that under different test cases, the maximum protection degree of the data security protection model proposed in this article reaches 95.16%, and the average protection degree is about 91.88%. From the specific test results, it can be seen that the application of data security protection in power system automation based on computer electronic technology has strong operability.

Sosialisasi Dan Penerapan Instalasi Prototipe Panel Surya 150 WP di SMK Prudent School Kota Tanggerang

As a power plant, the sun can produce unlimited light. Use of solar panels as a transformation device that transforms solar energy into electricity. The electricity produced is sent to the battery and stored as an emergency resource. Much appreciated for progressed innovation, sun-oriented boards can be utilized as a substitution for current power; in any case, the State Power Enterprise still gives power. SMK understudies can learn the significance of the plan and utilization of sun-based boards. In the other stage, SMK understudies will utilize model sun-based boards to introduce the coach given. Through the execution and socialization of sun-powered boards, SMK Judicious School City Tangerang works as arranged, and understudies can introduce models accurately from control to stack. Understudies and instructors will get fabric and explanations of current advancements within the most recent sun-oriented modules to empower advanced improvement.

Management information platform based on Internet of Things

In order to study the financial management mode and innovation of electric power enterprises under the current situation, a research method of electric power financial management innovation in the era of Internet of Things is proposed. According to the network topology of the system and the analysis of the Android system, the client of the financial management system, the main functional modules of the system and the data warehouse are designed. The client of the financial management system will divide the client into an information interaction unit and a data calculation unit according to the actual needs of the client; the main functional modules of the system are divided into account management unit, salary management unit, project management unit, system management unit, and fixed asset management unit. Unit, revenue and expenditure management unit and report management unit, the sub-units of each unit are divided into brief analysis, and the outpatient registration fee management module and inpatient fee management module of the revenue and expenditure management unit are introduced in detail; in the hospital financial data warehouse, in the application layer An interactive platform is built between it and the data warehouse, and the module is integrated into the existing data warehouse to realize the processing, storage and operation of massive data. The proposed system has a large operating safety factor, high user satisfaction, and an average system flexibility factor of 0.94. The power financial management information platform based on the Internet of Things has a very good performance in the application. Therefore, the method in this paper can enhance the work efficiency of electric power enterprises and enhance the core competitiveness of electric power enterprises.

Transition towards a hybrid energy system: Combined effects of renewable portfolio standards and carbon emission trading

A hybrid energy system (HES) utilizing complementary energy sources allows for high-quality development of renewables. It is a viable pathway in achieving the low-carbon transition of the power sector. Both Renewable Portfolio Standards (RPS) and Carbon Emission Trading (CET) regulate the low-carbon behavior of conventional power enterprises. This highlights the importance of investigating how the policy mix can drive the transition towards hybrid power generation. This paper develops an evolutionary game between local governments and power enterprises to explore the influence of policy-related parameters on the transition to a hybrid energy system. We find that implementing the policy mix is imperative to the transition when the technology cost of a hybrid energy system is not competitive. Power enterprises can control investment costs through the structure of multi-energy power generation, but are also limited by the lack of renewable absorption capacity. We also find an additive effect between RPS and CET, albeit with differences. Raising the price of tradeable green power certificates (TGC) can effectively facilitate the transition under either a single RPS policy or the policy mix. Reducing initial carbon permits makes sense only under the policy mix. Moreover, the coordinated implementation of multiple policies can contribute to the transition more efficiently, but it deserves attention to avoiding policy redundancy.

An empirical study on the evaluation of low-carbon development and low-carbon transformation of typical international power enterprises

Promoting low-carbon economic development to reduce greenhouse gas emissions has become a basic consensus and an important goal of public policy making around the world. In recent years, EDF, NG, E. ON, Enel, TEPCO and other internationally renowned power companies have taken positive measures in promoting the low-carbon transformation of enterprises, played a leading role in the demonstration, and created valuable reference value.

Drifting towards multidimensional collaborative innovation: the co-evolution of collaboration networks and policy in China’s nuclear power industry

Purpose Nuclear power is a stable and reliable energy source that can improve energy structure while reducing carbon emissions, which is of great significance for environmental protection and combating climate change. As a unique industry, it is facing rare development opportunities in China and has broad market prospects. However, the characteristics of technical difficulty, loose organizational structure and uneven regional distribution limit the expansion of the nuclear power industry. This paper aims to a better understanding of the accumulation process for innovation capability from the perspective of network evolution and provides policy guidance for the market development of the nuclear power industry (NPI). Design/methodology/approach Methodologically, social network analysis is used to explore the co-evolution of multidimensional collaboration networks. First, the development and policy evolution of the NPI is introduced to divide the evolution periods. Then, the authors identify and analyze the core organizations, technologies and regions that promote nuclear power patent collaboration. Furthermore, three levels of collaboration networks based on organizations, technologies and regions are constructed to analyze the coevolution of patent networks in China’s NPI. Findings The results show that nuclear power enterprises always play the foremost role in the organizational collaboration network (OCN), and the dominance of foreign enterprises is replaced by Chinese state-owned enterprises in the third period. The technology hotspot has shifted from nuclear power plant construction to the control system. The regional collaboration network was initially formed in the coastal areas and gradually moved inland, with Guangdong and Beijing becoming the two cores of the network. The scale of three collaboration networks is still expanding but the speed has slowed down. Originality/value In response to the pain points of the NPI, this research focuses on multidimensional collaborative innovation, investigates the dynamic evolution process of collaborative innovation networks in China’s NPI and links policy evolution with network evolution creatively. The ultimate result not only helps nuclear power enterprises integrate innovative resources in complex environments but also promotes industrial upgrading and market development.

How effective is the reduction of major pollutants in thermal power plants under the ultra-low emission policy?

In 2015, the Chinese government set ultra-low emission standards for thermal power to alleviate the pressure of increasing total pollutants from energy demand. This paper analyzes the policy effect of ultra-low emission in different regions based on panel data of 1202 thermal power enterprises, and the results of hierarchical linear model show that the total amount of air pollutants emitted by thermal power enterprises showed a decreasing trend during 2017–2021, realizing the dual control of concentration and total amount. Due to the differences in primary energy structure, industrial structure and economic development level of different regions, the total emission reduction of thermal power pollutants is affected differently. First, the proportion of the region's secondary industry in the region's GDP is negatively correlated with the decrease of the total pollutant emission of local thermal power enterprises. Second, the higher the per capita GDP of the region, the more significant the decrease in the total amount of pollutants, economic development is conducive to pollutant emission reduction. Third, the higher the proportion of thermal power in local energy, the more obvious the reduction of total pollutant emissions of thermal power enterprises, indicating that the implementation of ultra-low emission policies in these regions is more thorough. In addition, the environmental protection tax plays a positive role in the total emission reduction, and the higher the sulfur dioxide tax rate, the more significant the reduction of total pollutants of thermal power enterprises. To further reduce the total amount of pollutants in thermal power, more coordinated efforts of environmental and economic policies are needed.