Exergy and energy analyses were carried out in each component to study the effect of compression ratio, ambient temperature, and load on energy losses and exergy destruction. The highest exergy destruction occurred in the combustion chamber and the lowest exergy destruction occurred in the compressor. Also, the maximum thermal efficiency of the gas turbine unit and second law efficiency are 33.77% and 32.25%, respectively. The peak load of the selected power station is 65 MW. This study reveals possible areas of focus to improve performance of the power plant in the future. K E Y W O R D Scombustion chamber, compression ratio, exergy destruction, gas turbine, second law efficiency | INTRODUCTIONElectrical power is vital for comfortable life, urban development, agricultural development, and industrial progress in all societies. As a result of the depletion of conventional energy sources and the continuous increase in the human need for energy, it is necessary to utilize electricity effectively and to search for alternate ways of meeting future energy requirements. Therefore, many countries focus on republishing the economic policy as well as intensify studies on strategies for improving performance of power stations. 1 Performance evaluation of power plant alone does not meet the purpose, so we resort to the analysis of exergy because it is more comprehensive. Several researches adopt analysis as a basis of conducting analytical studies across major components of thermal power plants and reducing the reflectivity in these parts. It is possible to obtain better performance by measuring the accuracy of gravity and positioning according to the second law of thermodynamics. 2,3 Reflections represent the difference between real disposable work and reflective work. 4-6 Therefore, researchers reduce this difference as much as possible 7,8 to know the main

Because of the increasing demand for energy in the recent period, it has become necessary to intensify the study in the field of evaluating the performance of the gas station under the first and second laws efficiency. The energy and exergy losses of gas stations are represented by the compressor, combustion chamber, and turbine. Therefore, this work aims to analyze the energy and exergy of a 55 MW Taza gas power station. The investigation demonstrated that the most significant misfortunes of the exergy happened in the combustion chamber, where was 66.5MW the most minimal misfortunes in the compressor 5MW while the misfortunes in the turbine 8.4MW. The thermal efficiency of the gas turbine power plant was 33.06%, while the exergy efficiency was 32.39%. The novelty of the current work concentrated on obtaining the Grassmann graph for each component.

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Background: Extreme alterations in hematological values and inflammatory biomarkers affecting dependent variables in clinical tests are associated with type-2 diabetes mellitus and anemia. Objective: To investigate some hematological and inflammatory risk factors and their relation in developinginsulin resistance in anemic type-2 diabetes mellitus. Patients and Methods: This case-control study was conducted in 190 patients and healthy subjects in the hospital of Layla Qasim Center in Erbil city and ethical clearance was obtained from the university ethical review committee. The included subjects were divided into three groups: non-diabetic (control) group, non-anemic type-2 diabetes mellitus, and anemic type-2 diabetes mellitus. Blood samples were analyzed for hematological parameters by Coulter counter analyzer, and biochemical tests included glycated hemoglobin, fasting blood glucose, insulin, and some inflammatory biomarkers by spectrophotometry and standard sandwich enzyme-linked immunoassay. Harvested data were analyzed by the statistical package for social science version 23. Results: The results showed remarkable alterations in glycated hemoglobin, red and white blood corpuscles, and inflammatory parameters in anemic type-2 diabetes mellitus compared to non-anemic type-2 diabetes mellitus. Inflammatory parameters including interleukin-1 and tumor necrosis factor-alpha exhibited a strong positive correlation with anemic diabetes than non-anemic diabetes. Conclusion: We concluded that some hematological and biochemical parameters were positively related to developing anemic type-2 diabetes mellitus and can be helpful as diagnosing tools for predicting the progression of anemic type-2 diabetes mellitus. Keywords: Anemia; Insulin resistance; Inflammatory biomarkers; Type 2 diabetes mellitus