Plant Simulation Platform Research Articles

Simulation and optimization of scrap wagon dismantling system based on Plant Simulation

Based on the existing plant layout and process flow, a simulation analysis was conducted using the Plant Simulation platform with the utilization efficiency of each station and production capacity of the dismantling system as indicators. A problem with long-term suspension in the disassembly process was determined. Based on the two optimization directions of increasing material transportation equipment and expanding the buffer capacity, a cost-oriented optimization model is established. A genetic algorithm and model simulation were used to solve the model. An optimization scheme that satisfies the production needs and has the lowest cost is proposed. The results show that the optimized dismantling system solves the suspended work problem at the dismantling station and a significant improvement in productivity and station utilization efficiency compared with the previous system.

Whole plant simulation study on load rejection transient of CPR1000 employing advanced Mechanical Shim strategy

Load rejection is an extreme transient that may lead to a reactor scram and further threaten the safety of Nuclear Power Plants (NPPs) and thus should be well investigated. This paper presents the full load rejection transient simulation, the worst condition of load rejection transients, on the CPR1000 NPP. A whole plant simulation platform was first established. Then load rejection transient from full power to house load operation was simulated and analyzed. Results show that CPR1000 NPP equipped MSHIM control system can withstand this transient with enough safety margins and reactor power can be regulated to the reference power by the control systems without triggering a reactor scram. Furthermore, sensitivity analysis of different control parameters for steam dump and MSHIM control systems was conducted to investigate their influence. This paper can be a reference for whole plant load rejection study as well as modeling and simulations of NPPs.

Improvement and Simulation of Rear Axle Assembly Line Based on Plant Simulation Platform

In this paper, the rear axle assembly J Company A products to improve the object, simulation, assembly line balancing theory and heuristic search method for balancing the rear axle assembly improvement analysis. First, the reality of the assembly line, assembly line collection of information, and the status quo was Plant Simulation. Then, the application assembly line balancing theory and heuristic methods to improve and assembly lines for simulation. By comparing the simulation results before and after the improvement from the original amount of the rear axle assembly line worker 17 people down to 15 people, the equilibrium rate rose from 69.75% to 79.85%, the balance delay rate dropped to 20.15 percent from 30.25, assembly efficiency is improved.

Active Disturbance Rejection Control for Bed-inventory Balancing of CFB Boilers with Pant-leg Structure

This paper proposed an improved primary air (PA) control strategy for the purpose of bed-inventory balance in Circulating Fluidized Bed (CFB) boiler with pant-leg structure. An active disturbance rejection controller (ADRC) is used to estimate the bed-inventory deviation of two legs as well the internal and external disturbances, and then eliminate them by regulating the setpoints of PA flowrates of two sides in the furnace. The experiment conducted on a 600MWe CFB power plant simulation platform shows that the proposed control scheme can quickly balance the bed-inventory and decrease the overturn risk compared with traditional PI control system.

ABWR power tests simulation by using a dual RELAP5 nuclear power plant simulation platform

Lungmen nuclear power plant is the first advanced boiling water reactor (ABWR) plant in Taiwan. According to the most up-to-date schedule, Lungmen Plant will begin its power tests in later 2011. The tests contain (1) loss of feedwater heater test, (2) one feedwater pump trip test, (3) one reactor internal pump trip test, (4) three reactor internal pumps trip test, (5) loss of offsite power and turbine/generator trip test, (6) turbine trip test, (7) load rejection test, (8) fast load winddown test, and (9) reactor full isolation test. The acceptable values of the plant major parameters in all test criteria of each plant power test have been provided by the plant vendor's analysis results. Thus, the verification of the correctness of the vendor results is important. A dual RELAP5 advanced Lungmen Plant specific simulation platform (ALPS) has been used to simulate the plant power tests. ALPS is developed based on two independent RELAP5 modules: one for the reactor system modeling and the other one for the balance of plant system modeling. All plant systems simulation models are synchronized on a PC-based commercial simulation platform, namely 3KeyMaster. The plant major control systems and the emergency core cooling system are simulated in great detail with the built-in modeling tools of 3KeyMaster. ALPS calculation results have been compared with the plant vendor's preliminary power tests analysis results. The comparison results have been delivered to the plant vendee for references. In this article some typical power tests simulation and comparison results are presented for (1) one feedwater pump trip test, (2) one reactor internal pump trip test, (3) load rejection test, and (4) reactor full isolation test.

Intelligent switching expert system for delayed coking unit based on iterative learning strategy

Delayed coking is the most effective process to decarbonize and demetallize heavy petroleum residues. However, it relies much on the field engineers’ experiences and expertise in practice for operating the controllers effectively and compatibly in delayed coking. This study establishes a knowledge database of intelligent switching expert system by analyzing the on-site data and operator’s experiences. A feed-forward control strategy based on iterative learning is introduced to erase disturbances arising from switching operation. The intelligent switching expert system (ISES) proposed here is guaranteed to be converged by introducing a convergence factor. The effectiveness and maneuverability of the ISES are proved by the simulation results on Shadow Plant Simulation Platform.