scholarly journals Data Envelopment Analysis in Performance Assessment of Fuel and Energy Complex Enterprises

Author(s):  
Mariia Pokushko ◽  
Alena Stupina ◽  
Inmaculada Medina-Bulo ◽  
Egor Dresvianskii

The authors applied the Data Envelopment Analysis (DEA) to assess the performance of the heat supply system in the city of Krasnoyarsk. The article provides a detailed description of the DEA method, its positive sides and shortcomings. The research included a comparative analysis of performance assessment methods in terms of advantages and disadvantages. The DEA method proved the most convenient tool for measuring the production efficiency of an object. The authors modified the architecture of the universal decision support system into a DEA-based one. The DEA method also proved highly efficient in assessing the performance of the heat supply system in the city of Krasnoyarsk. The analysis made it possible to develop recommendations to improve the efficiency of the local heat supply system using the case of thirteen unites, e.g. boilers, heat and power plants, etc. The input indicator was represented by the available heat capacity. Heat output to the grid and emission mass were used as output indicators. Based on the available initial data, the authors constructed an output-oriented model for analyzing the functioning environment with one input and two outputs. They identified inefficient units of the Krasnoyarsk heat supply system and proposed optimization of input and output values for each unit to improve the functioning of the heat supply system as a whole. The developed for the upgrading of boilers and heat and power plants had an efficiency index in the range up to 1.

2021 ◽  
Vol 16 ◽  
pp. 185-194
Author(s):  
M. Pokushko ◽  
A. Stupina ◽  
I. Medina-Bulo ◽  
E. Dresvianskii ◽  
A. Stupin ◽  
...  

The article describes the Data Envelopment Analysis (DEA) method and the main features of its application. The main problems of heat and power systems are described, which are addressed by the DEA method of efficiency assessment presented in the article. The approbation of this method is presented at the objects of the centralized municipal heat supply system of the fuel and energy complex: boiler houses and heat and power plants. 9 objects were analyzed according to four input indicators: available heat capacity, installed heat capacity, heat consumption for own needs, fuel consumption. Also, the efficiency of the system was evaluated according to two output indicators: the release of thermal energy to the grid and the mass of the emission. As a result of the analysis and calculations made, it was revealed that 5 objects have the maximum possible efficiency indicator equal to 1, that is, they function as efficiently as possible. 4 objects of the centralized municipal heat supply system have an efficiency indicator less than 1. Accordingly, improvements are required for the operation of the above Decision-Making Units (DMU)s. These objects have deviations in terms of the inputs and outputs of the actual data and those obtained using the DEA method. Based on the calculations obtained for these 4 objects, the article provides recommendations for changing the quantitative values of their input and output indicators. For example, for object number 2, it is recommended to reduce the installed heat capacity in the grid by 72.57%, without changing the available heat capacity and fuel consumption. Reduce the heat consumption for your own needs by 69.383%. In addition, it is recommended to increase the supply of thermal energy to the grid by 6,034%, and reduce the mass of emission by 11.5%. Specific measures have also been developed to modernize the studied objects in order to achieve the recommended indicators of inputs and outputs. The research results presented in the article are of scientific and practical interest and can be used to improve the efficiency of heat and power systems facilities


2021 ◽  
Vol 14 (5) ◽  
pp. 221
Author(s):  
Jarmila Horváthová ◽  
Martina Mokrišová ◽  
Mária Vrábliková

The purpose of this study was to emphasize that the Data Envelopment Analysis (DEA) method is an important benchmarking tool which provides necessary information for improving business performance. To fulfil the abovementioned goal, we used a sample of 48 Slovak companies involved in the field of heat supply. As their position in the economic and social environment of the country is essential, considerable attention should be paid to improving their performance. In addition to the DEA method, we applied the Best Value Method (BVM). We found that DEA is a highly important benchmarking tool, as it provides benchmarks for units that have problems with performance and helps us to reveal risk performance factors. The DEA method also allows us to determine target values of indicators. The originality of this paper is in its comparison of the results of the BVM and the DEA methods.


2019 ◽  
Vol 135 ◽  
pp. 01031
Author(s):  
Mereke Agilbayeva ◽  
Alexey Kalinin

The district heating system of Karaganda (Kazakhstan) is considered in the article. The characteristics of the existing cogenerators and the state of the pipeline networks are given. Given the analysis of the existing state of the entire district heating of Karaganda. Proposed the program for the integrated development of the heat supply system bringing world experience in implementing the main development and modernization of heating networks. Shown the experience of reconstruction of heat supply facilities in the city of Karaganda within the framework of the state loan program “Nurly Zhol”. Based on the statistical data on the development of the city of Karaganda and its heat supply system the predicted heat loads are given until 2030. Due to the shortage of available heat capacity, options for the development of a centralized heat supply system in Karaganda are given and analyzed.


2021 ◽  
Vol 13 (12) ◽  
pp. 6801
Author(s):  
Guo-Ya Gan ◽  
Hsuan-Shih Lee ◽  
Yu-Jwo Tao ◽  
Chang-Shu Tu

Responding to the increasing global need for environmental protection, a green port balances economic vibrancy with environmental protection. However, because exhaust emissions (e.g., CO2 or sulfide) are difficult to monitor around ports, data on such emissions are often incomplete, which hinders research on this topic. The present study aimed to fill this gap in this topic. To remedy this problem, this study formulated a new data envelopment analysis (DEA) method for collecting CO2 emissions data at their source. This method was applied to collect real-world operating data from a large container-handling company in Taiwan. Specifically, we provide a real example using a novel green energy index to account for undesirable outputs. Our main objective was to formulate two methods that combine: (1) data envelopment analysis based on a modified slack-based measure, and (2) a multi-choice goal programming approach. The contributions of this paper included the finding that rubber-tired gantry cranes are the greenest and should be used in ports. Finally, our findings aid port managers in selecting port equipment that provides the best balance between environmental protection and profitability.


2010 ◽  
Vol 57 (4) ◽  
pp. 341-346 ◽  
Author(s):  
V. A. Butuzov ◽  
G. V. Tomarov ◽  
E. V. Bryantseva ◽  
V. V. Butuzov

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