Performance indices of a power plant using exergy-based analyses

Technical Report from the year 2017 in the subject Physics - Other, , language: English, abstract: The objective of this applied industrial research was to conduct an exergy-based analysis for an Open Cycle Gas Turbine in Abu Dhabi in order to evaluate its performance under design conditions and during summer weather conditions. The first explanation for this investigation is that CO2 emissions from power generation plants in the United Arab Emirates are responsible for about 33% of the 200 million tons of the total CO2 emitted in 2013 in the country. The second reason for this industrial project is that the standard conditions used for the design of gas turbines are 288K, sea level atmospheric pressure and 60% relative humidity. However, the average summer weather conditions in Abu Dhabi are T=316K and a relative humidity of 50%. As a consequence, the effects of summer weather conditions on different performance indices of the power plant were also studied.

Auteur

Zin Eddine Dadach obtained his Bachelor's degree in Refining and Petro-chemistry from the Algerian Institute of Petroleum in 1980. He received his Master's degree in Chemical Engineering from Stevens Institute of Technology (Hoboken, N.J.; USA) in 1984. In a pioneering research study, experimental data for the absorption rates of CO2, H2S, and a mixture of both in hindered amine, 2-amino-2-methyl-1-propanol (AMP) aqueous solutions (0.03 M, 0.1 M, 0.2 M and 0.3 M) were investigated for the first time. Dr. Dadach obtained his Ph.D. degree in Chemical Engineering from Laval University (Quebec, Canada) in 1994. In the dissertation work, Markov chains and Monte Carlo technique were used to stochastically simulate glucose yield during cellulose acid hydrolysis by using model compound cellobiose and cotton crystallinity data. Simulation results were compared to experimental data. He worked in an organic materials department at the Osaka National Research Institute (Osaka, Japan) for two years where he developed a FORTRAN program on Markov analysis of DNA sequences of psbA genes of Synechocystis PCC 6803 in order to determine which genes might be responsible for divergent behavior of transcription in response to light intensity. Since he joined the Higher Colleges of Technology (Abu Dhabi, UAE) in 2005, Dr. Dadach has developed active learning strategies to enhance the intrinsic motivation of students. In a recent published article, he presented a new tool to quantify the effects of an active learning strategy on the motivation of students. He supervised a number of student's final industrial projects including Stripper High Differential Pressure, Sea water back pressure tower foaming, Effluent system salt formation, Carbon Capture and Storage strategies, Hysys simulation of chemical processes, and exergy analysis of power generation plants