scholarly journals Environmental Efficiency Evaluation of China’s Power Industry Based on the Two-Stage Network Slack-Based Measure Model

Author(s):  
Wei Wei ◽  
Shuangying Ding ◽  
Silin Zheng ◽  
Jingjing Ma ◽  
Tong Niu ◽  
...  

How to achieve the continuous improvement of the environmental performance level of the power industry within the requirements of clean and low-carbon energy development is the fundamental requirement and inevitable choice for the construction of ecological civilization and sustainable development. From the perspective of environmental protection, based on the Data Envelopment Analysis (DEA) method and the internal mechanism of power system production and supply, the power industry environmental efficiency evaluation index system was constructed, and the two-stage Network Slack-based Measure (NSBM) model considering undesired output was used to calculate China’s 30 provinces and municipalities from 1998 to 2019. The environmental efficiency is divided into two links: power generation efficiency and transmission and distribution efficiency. The study found that, within the research interval, the overall environmental efficiency of China’s 30 provinces is low, and the differences between provinces and cities are large, but they have gradually developed in a better direction after 2015. The power generation efficiency of the first link in most provinces and municipalities is higher than the transmission and distribution efficiency of the second link, and the low transmission and distribution efficiency is an important reason for the low comprehensive level of environmental efficiency. The overall evolution trend of environmental efficiency in the six regions of China is roughly the same, but the regional differences are obvious, showing a trend of “high in the southeast and low in the northwest”. The economic and natural resource differences in different provinces and cities in each region have led to varying degrees of redundancy in five aspects, including investment in power assets, installed power generation capacity, and length of transmission lines, which seriously affect the environmental efficiency of the power industry. This research attempts to open the “black box” of the environmental efficiency conversion process of the power industry, which can provide directions and strategic suggestions for the improvement of the efficiency of the power industry in China.

2021 ◽  
Author(s):  
Man Yi Zhou

Abstract With the high-quality development of the global economy, China’s power industry is accelerating its upgrading and transformation in accordance with the requirements of building a clean, low-carbon, safe and efficient manner. As the front-end industry of the power industry, related Power Design Institutes are also facing the challenge of transformation pressure. This study believes that the Power Design Institute should be market-oriented to change its concept, mainly from three aspects: transform from traditional coal-fired power generation business to new energy power generation business, and develop photovoltaic, wind power, biomass power generation and other new energy power generation businesses; The traditional design method is transformed into a digital and intelligent design method, and advanced technologies such as BIM and blockchain are fully utilized in the design process; from a simple design business to a whole-process consulting business, Transition from a simple design business to a whole-process consulting business, horizontally expand the design business to the entire process from pre-planning to post-project evaluation, and initially expand the business types to include project management, investment consulting, bidding consulting, and general contracting services, supervision business, procurement consulting, etc.


Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1870
Author(s):  
Jingliang Jin ◽  
Qinglan Wen ◽  
Xianyue Zhang ◽  
Siqi Cheng ◽  
Xiaojun Guo

Nowadays, the power system is faced with some new changes from low-carbon approaches, though these approaches have proved to be effective in developing low-carbon electricity. Specifically, wind power integration and carbon trading influence the traditional economic emission dispatch (EED) mode, allowing for the disturbance of wind power uncertainties and the fluctuation of carbon trading price. Aiming at the above problems, this study firstly builds a stochastic EED model in the form of chance-constrained programming associated with wind power reliability. Next, wind power features are deduced from the statistic characteristics of wind speed, and thus the established model is converted to a deterministic form. After that, an auxiliary decision-making method based on the technique for order preference by similarity to an ideal solution (TOPSIS) is designed to draw the optimal solution based upon the specific requirements of carbon emission control. The simulation results eventually indicate that the minimization of fuel costs and carbon emissions comes at the expense of wind power reliability. Meanwhile, carbon emission reduction can be effectively realized by carbon trading rather than a substantial increase in fuel costs, and carbon trading may help to improve power generation efficiency. Furthermore, carbon trading prices could be determined by the demands of carbon emission reduction and power generation efficiency improvement.


2013 ◽  
Vol 662 ◽  
pp. 999-1004
Author(s):  
Chao Li ◽  
Cai Qin Ye ◽  
Lan Mou

Under the background of low-carbon economy, it is necessary to modify and improve the existing economic benefits evaluation system for the construction projects of power generation industries. This paper firstly built an economic benefit evaluation index system for power generation projects based on low-carbon financial benefits and carbon-emission reduction efficiency. Then, it established an economic benefits evaluation model which uses entropy and AHP to determine combined weights, and Gray Relation Method for comprehensive evaluation. Finally, the empirical analysis of the construction of wind power projects verified the feasibility and effectiveness of the evaluation model.


Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 786 ◽  
Author(s):  
Moo-Yeon Lee ◽  
Jae-Hyeong Seo ◽  
Ho-Seong Lee ◽  
Kunal Sandip Garud

The objective of this study was to investigate the power generation, efficiency, and thermal stress of a thermoelectric module with leg geometry, material, segmentation, and two-stage arrangement. The effects of leg geometry, material, segmentation, and two-stage arrangement on maximum power, maximum efficiency, and maximum stress under various temperature differences and voltage load conditions were investigated. The performance parameters of the thermoelectric module were evaluated based on a numerical approach using ANSYS 19.1 commercial software. An analytical approach based on theoretical equations of the thermoelectric module was used to verify the accuracy and reliability of the numerical approach. The numerically predicted values for maximum power and maximum efficiency of the thermoelectric module were validated as ±5% and those for the maximum thermal stress of the thermoelectric module as ±7% with the corresponding calculated theoretical values. In addition, the predicted values of maximum power and maximum stress of the thermoelectric module were validated as ±2% and ±5%, respectively, with studies reported by Ma et al. and Al-Merbati et al. Of all the combinations, the single stage segmented arrangement with cylindrical leg geometry and SiGe+Bi2Te3 material was suggested as the best combination with maximum power of 0.73 W, maximum efficiency of 13.2%, and maximum thermal stress of 0.694 GPa.


2022 ◽  
Vol 9 ◽  
Author(s):  
Minghui Liu ◽  
Chunhua Ju ◽  
Yan Wang

China’s power industry is in a critical transformation period. The new round of power system reform in 2015 will have a profound impact on China’s power industry. Therefore, it’s necessary to analyze the influencing factors of thermal power generation efficiency. Based on the thermal power generation industry related data in China’s 30 provinces from 2005 to 2017, this paper studies the impacts of market segmentation on thermal power generation efficiency in China. And the empirical result shows that the market segmentation exhibit significant negative effects on the thermal power generation efficiency, that is, the thermal power generation efficiency significantly decrease 1.6799 for each unit increase of market segmentation index of thermal power industry. Besides, by decomposing the dynamic thermal power efficiency index, we find that the “innovation effect” is the primary channel for the market segmentation to make effects on the thermal power generation efficiency. Furthermore, our findings are still robust after considering endogenous problems and eliminating the relevant data. Finally, research conclusions of our study paper provide empirical supports for the efficient development of China’s power market.


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