Power Generation Engineering And Services Company PGESCO
Power Generation Engineering And Services Company PGESCO
Bayoumy A.H.,Power Generation Engineering and Services Company PGESCO |
Bayoumy A.H.,Cairo University |
Nada A.A.,Jazan University |
Megahed S.M.,Cairo University
ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) | Year: 2013
In this paper, the Blade Element Momentum (BEM) theory is used to design the horizontal wind turbine blades. The design procedure concerns the main parameters of the axial/angular induction factors, chord length, twist/attack angles, and local power/thrust coefficients. These factors in turns affect the blade aerodynamics characteristics and efficiency at the corresponding nominal speed. NACA 4-digits airfoil geometry is obtained, using BEM theory, to achieve the maximum lift to drag ratios. The optimization of the power coefficient and its distribution versus different speeds is carried out by modifying the twist angle and chord length distribution along the blade span. The dynamic characteristics of both the original and optimized design are examined through forward dynamic simulation of the blade model. Since large-size wind turbine blade is considered, the dynamic model is established using the Absolute Nodal Coordinate Formulation (ANCF), which is suitable for largerotation large-deformation problems. Finally, in order to verify the dynamic enhancements in the Aerodynamic/Structural properties, the fluid-solid interaction simulation for both the original and optimized model is performed using ANSYS code. The obtained results show a good rank of the proposed optimization procedure for a practical case of wind data upon Gulf of Suez-Egypt. Copyright © 2013 by ASME.
Sayed M.,Power Generation Engineering And Services Company PGESCO |
Sayed M.,Cairo University |
Gharghory S.M.,Electronics Research Institute of Egypt |
Kamal H.A.,Cairo University
Energy Systems | Year: 2016
Generating the power required for load demand in power plants under different operating conditions is an important issue. In addition, satisfying the multiple conflicting objectives such as the optimal load tracking, life extension of major equipment, reduction of fuel consumption and environmental impact from pollutant emission needs the optimal mapping of power-pressure set points to be realized. Unfortunately, the fixed nonlinear mapping used for optimal set points generation does not satisfy the multi conflicting goals of power plant under different operating conditions. This paper proposes Pareto solutions based on Euclidean distance for multi-objective particle swarm optimization that is named EMOPSO. The proposed technique is based on selecting non dominated global best and local best for each particle in the swarm with minimum Euclidean distance in the search space. The ability of the proposed approach to achieve the optimal power pressure set points and to capture the true Pareto front is investigated through its applicability for boiler turbine power plant. The simulation results prove the superiority of the proposed algorithm in achieving the optimal tradeoff between the essential requirements and the conflicting objectives of the power plant and demonstrate the great impact of the algorithm on the convergence and diversity of the Pareto front optimality. © 2015, Springer-Verlag Berlin Heidelberg.
Bayoumy A.H.,Power Generation Engineering and Services Company. PGESCo. |
Papadopoulos A.,Power Generation Engineering and Services Company. PGESCo.
ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) | Year: 2014
Pressure surges and fluid transients, such as steam and water hammer, are events that can occur unexpectedly in operating power plants causing significant damages. When these transients occur the power plant can be out of service for long time, until the root cause is found and the appropriate solution is implemented. In searching for root cause of transients, engineers must investigate in depth the fluid conditions in the pipe line and the mechanism that initiated the transients. The steam hammer normally occurs when one or more valves suddenly close or open. In a power plant, the steam hammer could be an inevitable phenomenon during turbine trip, since valves (e.g., main steam valves) must be closed very quickly to protect the turbine from further damage. When a valve suddenly stops at a very short time, the flow pressure builds up at the valve, starting to create pressure waves along the pipe runs which travel between elbows. Furthermore, these pressure waves may cause large dynamic response on the pipeline and large loads on the pipe restraints. The response and vibrations on the pipeline depend on the pressure waves amplitudes, frequencies, the natural frequencies and the dynamic characteristics of the pipeline itself. The piping flexibility or rigidity of the pipe line, determine how the pipes will respond to these waves and the magnitude of loads on the pipe supports. Consequently, the design of the piping system must consider the pipeline response to the steam hammer loads. In this paper, a design and analysis method is proposed to analyze the steam hammer in the critical hot lines due to the turbine trip using both PIPENET transient module and CAESAR II programs. The method offered in this paper aims to assist the design engineer in the power plant industry to perform dynamic analysis of the piping system considering the dynamic response of the system using the PIPENET and CAESAR II programs. Furthermore, the dynamic approach is validated with a static method by considering the appropriate dynamic load and transmissibility factors. A case study is analyzed for a typical hot reheat line in a power plant and the results of the transient analysis are validated using the theoretical static approach. Copyright © 2014 by ASME.