ORIGINAL PAPER Fuzzy logic controller to improve parameters affecting gas turbines power generation Rustom Mamlook • Omar Badran • Abdullah Aljumah • Abdulaziz S.Almazyad • Taisir Eldos • Emad Abdulhadi Received: 10 November 2010 / Accepted: 15 February 2011 / Published online: 27 February 2011 Springer-Verlag 2011 Abstract In order to improve the performance of the gas turbine power plant and to generate electricity at the best cost,a fuzzy logic controller model was used to show the effectof differentparameters on the powergeneration outputof gasturbines. The proposed methodology was applied to certain parameter values collected from Rehab power station in Jordan—as a case study—for validation purposes. Relative weights were used, i.e.,very very low power generation ‘‘extremely low power generation,’’ very low power generation, low power generation, normal powergeneration, high power generation, and very high power generation. The study reveals that the major factors thataffectyield are ambient temperature (T 1 ), compres- sor’s exit temperature (T 2 ), turbine’s inlet temperature (T 3 ), turbine exit temperature (T 4 ), pressure ratio (R p ), mass of fuel (M f ), relative humidity (H), turbine efficiency (g t ), and compressor efficiency (g c ). Based on the increase of pro- ductivity, the results show that different factors are found to affecthe yield of a power generator. Therefore, using fuzzy logic controller modelhas lead the researchers to focuson the highest priority parameters thatshould be enhanced and developed to increase the poweroutput productivity. Keywords Energy performance of the power plant Fuzzy logic controller Relative weights Highest priority parameters Gas turbine Increase the power output productivity Introduction Due to economic growth and increasing population, the energy demand in Jordan is expected to increase by at lea 50% over the next 20 years. And, therefore the provision o reliable energy supply at reasonable cost is a crucial ele- ment of economic reform. Jordan is therefore heavily reliant on energy imports, placing a large annual burden on the national economy. Energy consumption is growing at about 3% per year and electricity demand growth is closer to 6%. The long-term electricity demand forecast shows high growth rates with a steady annual increase of 5% on the average for the upcoming 10 years (International Power Engineering 2006 Therefore, it is important to improve the technologies of powergeneration to have high efficiencies, high power output, and low operating and maintenance cost to move toward a sustainable use of available fuels. Industrial gas turbine is one of the well-established technologies for pow generation. The merits of gas turbine lie in the fact that it high power/weight ratios and low pollutant emissions com pared to other engines. However, it still needs to be opera at optimum conditions to achieve the highest power gene ation. Hence, fuzzy logic controller is found to be a good to to aid researchers to achieve this goal. The advantages of the fuzzy logic decision for evalu- ating the parameters affecting power generation are pre- sented in this study. This method enabled us to condense large amount of data into smaller setof variable rules. R. Mamlook (&) A. Aljumah A.S. Almazyad T.Eldos Department of Computer Engineering, College of Computer Engineering and Sciences, Al-Kharj University, Al-Kharj,Saudi Arabia e-mail: rstmamlk@hotmail.com O. Badran A.Aljumah E.Abdulhadi Department of Mechatronics Engineering, Faculty of Engineering Technology, Al-Balqa Applied University, Amman, Jordan e-mail: o_badran@yahoo.com 123 Clean Techn Environ Policy (2011) 13:821–829 DOI 10.1007/s10098-011-0357-1