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Evaluation of The Production and Operation Benchmarking Management Effect of Natural Gas Thermal Power Plant Based on Fuzzy Comprehensive Evaluation

Author(s)

Mengxi Wu, Zhibo Yu, Juan Zhou, Jiaxin Peng, Ji Li*

Affiliation(s)

Natural Gas Institute of Economics, PetroChina Southwest Oil & Gas Field Company, Chengdu, Sichuan, China *Corresponding Author.

Abstract

Under the trend of continuous development of natural gas industry, the demand for the management of natural gas thermal power plants is increasing, and more and more production and operation management methods are gradually emerging, which is very important for the evaluation of the effect of management methods. Based on this, this paper conducts a research on the evaluation of the management effect of natural gas power station production and operation benchmarking based on fuzzy comprehensive evaluation. By dividing the evaluation index of benchmarking management, the corresponding parameter factors are obtained. The paper established a benchmark management evaluation model for the production and operation of natural gas power stations, and collected data on generator set indicators. Then, the load factor, power supply coal consumption, power generation fuel consumption, nitrogen oxides and other key indicators of the generating units of natural gas power stations, are calculated and the benchmark value of benchmarking management is determined. Based on the fuzzy comprehensive evaluation method, the benchmarking score was calculated to achieve the goal of benchmarking management effect evaluation. Experiments show that this method can improve the overall evaluation value of natural gas power station, and has more advantages in the accuracy of evaluation result analysis and decision-making.

Keywords

Fuzzy Comprehensive Evaluation; Natural Gas Thermal Power Plants; Production Operations; Benchmarking Management

References

[1]Liu C; Liu X. Employee Training System of Manufacturing Enterprises for Implementing Industry 4.0. Journal of Physics: Conference Series 2020, 1648(4): 042117. [2]Madsen, D.Ø.; Slåtten, K. and Johanson, D. The Emergence and Evolution of Benchmarking: A Management Fashion Perspective", Benchmarking: An International Journal 2017, 24(3): 775-805. [3]Hilliard, A., & Jamieson, G. A. Energy Management in Large Enterprises: A Field Study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2011, 55(1), 399-403. [4]Kirschen D. Demand-side View of Electricity Markets. IEEE Transactions on Power Systems 2023,18(2), 520-527. [5]N.V. Diligensky, A.G. Salov, Bulletin of the Samara State Technical University. Tehnical Science 2009, 24: 17–25. [6]M.V. Posashkov, A.G. Salov, V.I. Nemchenko, Problems of Economics and Management of Oil and Gas Complex 2014, 1: 27–32. [7]Grondys, K.; Androniceanu, A.; Dacko-Pikiewicz, Z. Energy Management in the Operation of Enterprises in the Light of the Applicable Provisions of the Energy Efficiency Directive (2012/27/EU). Energies 2020, 13: 4338. [8]Zhao, L.; Zhou, Z. Developing a Rating System for Building Energy Efficiency Based on in Situ Measurement in China. Sustainability 2017, 9: 208. [9]Olsen, K.H.; Fenhann, J. Sustainable Development Benefits of Clean Development Mechanism Projects: A New Methodology for Sustainability Assessment Based on Text Analysis of the Project Design Documents Submitted for Validation. Energy Policy 2008, 36: 2819–2830. [10]Galvin, R. Estimating Broad-brush Rebound Effects for Household Energy Consumption in the EU 28 Countries and Norway: Some Policy Implications of Odyssee Data. Energy Policy 2014, 73:323–332.