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| 1 |
ID:
185725
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| Summary/Abstract |
The power industry is the key to achieving the carbon peak and carbon neutrality goals. It is of great theoretical and practical significance to investigate the carbon emission efficiency (CEE) of thermal power generation from the micro-perspective of power plants. Using the data of China's 42 thermal power plants in 2020, this paper firstly constructs a multi-dimensional index evaluation system for CEE from the aspects of energy, economy, and environment, considering the actual operational characteristics of power generation enterprises. Specifically, the super-efficiency slack-based measure (SBM) model with undesirable outputs is applied to identify and distinguish the multiple efficient decision-making units. Then, this paper explores the efficiency improvement path of inefficient thermal power plants. The results show that most power plants show the increasing scale payoffs, while the other power plants present constant returns to scale. The distribution of power plants' CEE is polarized into two clusters, i.e., low-CEE group and high-CEE group. Besides, Southern China shows the highest CEE, while the least is recorded in Central China. The main reasons for the low CEE are the high redundancies in inputs, carbon emission intensity of power supply and heat supply. It is necessary to adjust the resource allocation and input-output structure according to the redundancy and deficiency rates. This study can provide managers with targeted policy guidance to improve the sustainable development of power enterprises.
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| 2 |
ID:
111070
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| Publication |
2012.
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| Summary/Abstract |
Per capita consumption1 of electricity in India is many folds lesser than Canada, USA, Australia, Japan, Chaina and world average. Even though, total energy shortage2 and peaking shortage3 were recorded as 11.2% and 11.85%, respectively, in 2008-09 reflecting non-availability of sufficient supply of electricity. Performance improvement of very small amount can lead to large contribution in financial terms, which can be utilized for capacity addition to reduce demand supply gap. Coal fired thermal power plants are main sources of electricity in India. In this paper, relative technical efficiency of 60 coal fired power plants has been evaluated and compared using CCR and BCC models of data envelopment analysis. Target benchmark of input variables has also been evaluated. Performance comparison includes small versus medium versus large power plants and also state owned versus central owned versus private owned. Result indicates poor performance of few power plants due to over use of input resources. Finding reveals that efficiency of small power plants is lower in comparison to medium and large category and also performance of state owned power plants is comparatively lower than central and privately owned. Study also suggests different measures to improve technical efficiency of the plants.
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