Energy, exergy, exergoenvironmental, and exergoeconomic (4E) analyses of a gas boosting station

The optimal operation of gas-driven compressors (GDCs) and electric-driven compressors (EDCs) was investigated to minimise the cost of operating a gas network. The operational optimisation model of the gas network with relatively detailed representation of gas compressors was formulated as a Mixed-Integer Second Order Cone Programming (MISOCP) problem. A bound-tightening algorithm was used to improve the quality of the solution from the relaxed MISOCP formulation. Using this model, the operation of the high-pressure gas transmission network in South Wales and Southwest of England was optimised considering day-ahead gas and electricity prices. The results show that, compared to the case in which only gas-driven compressors are available, nearly 63% of the operating cost of the gas network can be reduced through coordinated operation of gas-driven and electric-driven compressors, while it produces only 36% of carbon dioxide emissions compared of case that only gas-driven compressors are allowed to work. Although, these specific figures for cost and emission reductions depend on electricity and gas prices, as well as emission intensity of the power grid, the results demonstrate the potential for using the inherent flexibility of the high pressure gas network to reduce its operating cost and emission, and to support the operation of power systems. The within-pipe storage capability (i.e., linepack) of the high-pressure gas network is a key enabler that allows electric-driven compressors to shift their operation schedule in time to benefit from low electricity prices.INDEX TERMS Bound-tightening algorithm, electric-driven gas compressors, integrated electricity and gas network, MISOCP, optimal operation. NOMENCLATURE A. SETS

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Exergy analysis of thermodynamic performance of a gas turbine unit

Komarov,

Sammour,

Zubkov

et al. 2023

Izvestiya MGTU MAMI

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Rationale. Gas turbine units are the most widespread type of power plants used in almost all industries. Such a wide distribution in combination with a high level of energy characteristics, high power density and maneuverability determine the relevance of research in the field of assessing their operating parameters. Goal of the work. The paper presents the results of an exergy analysis of a gas turbine plant as part of the Jandar Thermal Power Plant, Syria. The aim of the work was to determine the exergy characteristics (exergy efficiency and exergy destruction factor) of a gas turbine plant and to evaluate the efficiency of energy use in a gas turbine plant, as well as to analyze the effect of ambient temperature on the selected parameters. Materials and methods. To evaluate the described parameters, the method of exergy analysis of the thermodynamic characteristics of a gas turbine plant was used based on the first and second laws of thermodynamics in conjunction with the laws of conservation of mass and energy. An important feature of the study, which also emphasizes its novelty, is taking into account the chemical exergy of combustion gases during the exergy analysis. Results. Based on the results of the work, it was found that the maximum exergy efficiency was 92.8% and was typical for a turbine as part of a gas turbine, while the highest exergy destruction was observed for the process of fuel combustion in the combustion chamber and was equal to 80% (117.3 MW). The lowest exergy values corresponded to the compressor 6.0% (9 MW). For the gas turbine unit as a whole, the total exergy destruction was 147.3 MW, and the exergy efficiency was 53.3%. In this case, the main sources of irreversibility in the gas turbine unit are the combustion chamber and combustion gases. Conclusion. Exergy analysis is a convenient method for evaluating the thermodynamic perfection of gas turbine units. As a further line of work, it is necessary to more fully evaluate the effects of various conditions, such as air humidity or compressor pressure ratio, on the exergy characteristics of the gas turbine.

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Energy, exergy, exergoenvironmental, and exergoeconomic (4E) analyses of a gas boosting station

Cited by 3 publications

References 48 publications

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Why Kalina (Ammonia-Water) cycle rather than steam Rankine cycle and pure ammonia cycle: A comparative and comprehensive case study for a cogeneration system

Optimal Operation of Compressors in an Integrated Gas and Electricity System—An Enhanced MISOCP Method

Exergy analysis of thermodynamic performance of a gas turbine unit

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