Oil Systems Modeling for an Operators ' Training Combined Cycle Plant Simulator
In this paper, the bases of the models of the oil systems of a full scope simulator of a 450 MW combined cycle power plant are presented. The simulator is executed in real time and was designed as support for the training of the operators. Here, the modeling methodology used to develop the referred models and the mathematical principles used to obtain the main equations are summarized. The tendencies of selected variables during transients and malfunctions are presented and analyzed in order to prove the validity of the simulator. Index Terms —Combined Cycle Power Plant, Oil System, Process Modeling, Real Time Training Simulator.
New era for fossil power plant simulators
At a time when the utility industry is focusing on products and services that can enhance competitiveness, affordable fossil plant simulators are a welcome technology. In just a few years, these simulators have progressed from being an expensive tool that few utilities could afford to being a technology that many utilities feel they can`t do without. Offering a variety of benefits in the areas of fossil plant training and engineering, today`s simulators are flexible, effective, and much less expensive than their counterparts in the 1980s. A vigorous EPRI development and demonstration effort has advanced simulators beyond operator issues to a new era of application, ranging from the training of engineers to the design and testing of power plant technologies. And the technologies that have resulted from simulator development and enhancement will have beneficial uses beyond plant simulation. 8 figs.
Discrete event simulation in automotive final process system
The Final Process System is an important part of the entire quality assurance system in the automobile manufacturing process. Operators and machines perform a series of crucial testing procedures before shipping a vehicle. Many complex factors impact the system throughput. The important ones are first time success rate, repair and service routing logic, process layout, operator staffing, capacity of testing equipment and random equipment breakdown. Discrete Event Simulation is a tool of choice in analyzing these issues in order to develop an effective and efficient process to ensure the system throughput. Using a case study from the automotive industries, this paper discusses the methodology of modeling and studying the Final Process System. The concepts and methods presented here are also applicable to other discrete manufacturing processes.