Making the Most of Whole Plant Simulation Software: Lessons Learned from a Year of Calibration and Testing at the First Facility in Chesapeake Bay Region to Receive an ENR Permit

2010 ◽  
Vol 2010 (14) ◽  
pp. 2566-2583
Author(s):  
John V. Stullken ◽  
Doug Abbott ◽  
Dipankar Sen ◽  
Thor Young ◽  
Lenny Gold ◽  
...  
Keyword(s):  
Chesapeake Bay ◽  
Simulation Software ◽  
Lessons Learned ◽  
Whole Plant ◽  
Plant Simulation ◽  
To Receive

scholarly journals Solution of Bottlenecks in the Logistics Flow by Applying the Kanban Module in the Tecnomatix Plant Simulation Software

2021 ◽  
Vol 13 (14) ◽  
pp. 7989
Author(s):  
Miriam Pekarcikova ◽  
Peter Trebuna ◽  
Marek Kliment ◽  
Michal Dic
Keyword(s):  
Lean Manufacturing ◽  
Business Processes ◽  
Software Tool ◽  
Transportation Systems ◽  
Simulation Software ◽  
Simulation Methods ◽  
Software Environment ◽  
Production Logistics ◽  
Pull System ◽  
Plant Simulation

The presented article deals with the issue of solving bottlenecks in the logistics flow of a manufacturing company. The Tx Plant Simulation software tool is used to detect bottlenecks and deficiencies in the company’s production, logistics and transportation systems. Together with the use of simulation methods and lean manufacturing tools, losses in business processes are eliminated and consequently flow throughput is improved. In the TX Plant Simulation software environment, using Bottleneck analyzer, bottlenecks were defined on the created simulation model and a method of optimizing logistics flows was designed and tested by introducing the Kanban pull system. This resulted in an improvement and throughput of the entire logistics flow, a reduction in inter-operational stocks and an increase in the efficiency of the production system as a whole.

scholarly journals Computing operation procedures for chemical plants using whole-plant simulation models

2021 ◽  
Vol 114 ◽  
pp. 104878
Author(s):  
Shumpei Kubosawa ◽  
Takashi Onishi ◽  
Yoshimasa Tsuruoka
Keyword(s):  
Simulation Models ◽  
Chemical Plants ◽  
Whole Plant ◽  
Plant Simulation

scholarly journals Dynamic Simulation of Petrochemical Wastewater Treatment Using Wastewater Plant Simulation Software

2018 ◽  
Vol 203 ◽  
pp. 03005
Author(s):  
Idzham Fauzi Mohd Ariff ◽  
Mardhiyah Bakir
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Stable Condition ◽  
Oxygen Demand ◽  
Simulation Software ◽  
Petrochemical Plant ◽  
Dynamic Simulation Model ◽  
Plant Monitoring ◽  
Plant Simulation

A dynamic simulation model was developed, calibrated and validated for a petrochemical plant in Terengganu, Malaysia. Calibration and validation of the model was conducted based on plant monitoring data spanning 3 years resulting in a model accuracy (RMSD) for effluent chemical oxygen demand (COD), ammoniacal nitrogen (NH3-N) and total suspended solids (TSS) of ±11.7 mg/L, ±0.52 mg/L and ± 3.27 mg/L respectively. The simulation model has since been used for troubleshooting during plant upsets, planning of plant turnarounds and developing upgrade options. A case study is presented where the simulation model was used to assist in troubleshooting and rectification of a plant upset where ingress of a surfactant compound resulted in high effluent TSS and COD. The model was successfully used in the incident troubleshooting activities and provided critical insights that assisted the plant operators to quickly respond and bring back the system to normal, stable condition.

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

2020 ◽  
Vol 142 ◽  
pp. 107397
Author(s):  
Shifa Wu ◽  
Xu Yan ◽  
Xinyu Wei ◽  
Fuyu Zhao ◽  
Shripad Revankar
Keyword(s):  
Simulation Study ◽  
Whole Plant ◽  
Plant Simulation

scholarly journals Experience With Using Code Case 2564 to Design and Certify an Impulsively Loaded Vessel

2013 ◽  
Author(s):  
Brent Haroldsen ◽  
Jerome Stofleth ◽  
Mien Yip ◽  
Allan Caplan
Keyword(s):  
Lessons Learned ◽  
Regulatory Approval ◽  
Department Of Energy ◽  
Third Party ◽  
Us Army ◽  
The Us ◽  
User Design ◽  
Qualification Testing ◽  
To Receive ◽  
Explosive Destruction

Code Case 2564 for the design of impulsively loaded vessels was approved in January 2008. In 2010 the US Army Non-Stockpile Chemical Materiel Program, with support from Sandia National Laboratories, procured a vessel per this Code Case for use on the Explosive Destruction System (EDS). The vessel was delivered to the Army in August of 2010 and approved for use by the DoD Explosives Safety Board in 2012. Although others have used the methodology and design limits of the Code Case to analyze vessels, to our knowledge, this was the first vessel to receive an ASME explosive rating with a U3 stamp. This paper discusses lessons learned in the process. Of particular interest were issues related to defining the design basis in the User Design Specification and explosive qualification testing required for regulatory approval. Specifying and testing an impulsively loaded vessel is more complicated than a static pressure vessel because the loads depend on the size, shape, and location of the explosive charges in the vessel and on the kind of explosives used and the point of detonation. Historically the US Department of Defense and Department of Energy have required an explosive test. Currently the Code Case does not address testing requirements, but it would be beneficial if it did since having vetted, third party standards for explosive qualification testing would simplify the process for regulatory approval.

Modeling Physical and Biogeochemical Controls on Dissolved Oxygen in Chesapeake Bay: Lessons Learned from Simple and Complex Approaches

2017 ◽  
pp. 95-118 ◽  
Author(s):  
Jeremy M. Testa ◽  
Yun Li ◽  
Younjoo J. Lee ◽  
Ming Li ◽  
Damian C. Brady ◽  
...  
Keyword(s):  
Dissolved Oxygen ◽  
Chesapeake Bay ◽  
Lessons Learned

COMPUTER SIMULATION SOFTWARE REUSE BY GENERIC/SPECIFIC DOMAIN MODELING APPROACH

1994 ◽  
Vol 04 (01) ◽  
pp. 81-102 ◽  
Author(s):  
CHUNG-HORNG LUNG ◽  
JEFFERY K. COCHRAN ◽  
GERALD T. MACKULAK ◽  
JOSEPH E. URBAN
Keyword(s):  
Discrete Event Simulation ◽  
Software Reuse ◽  
Discrete Event ◽  
Domain Analysis ◽  
Simulation Software ◽  
Lessons Learned ◽  
Domain Modeling ◽  
Specific Approach ◽  
Event Simulation ◽  
Modeling Approach

Software reuse has drawn much attention in computing research. Domain analysis is considered a prerequisite to effective reuse of existing software. Several approaches and methodologies have been proposed for domain analysis or domain modeling, but not many case studies have been reported in the literature. The first objective of this paper is to present the concept and practical experiences of a domain analysis approach in discrete-event simulation in manufacturing — generic /specific modeling. A second objective of this paper is to present a meta-model based on the generic/ specific approach from the software engineering perspective. The steps and knowledge required to build the model are described. Domain analysis lessons learned from the generic/specific approach in discrete-event simulation are discussed. Classification of this domain modeling approach was conducted through the Wartik and Prieto-Diaz criteria. The classification will facilitate the comparison with other domain analysis approaches. Similar modeling concepts or techniques may be beneficial to other researchers in their own application domains.

The Production System Automatic Layout Based on Simulation

2013 ◽  
Vol 819 ◽  
pp. 393-397
Author(s):  
Chao Lv ◽  
Shuang Liu ◽  
Shi Ming Wang ◽  
Bei Cai
Keyword(s):  
Production System ◽  
Production Efficiency ◽  
Optimal Solution ◽  
Operation Time ◽  
Simulation Software ◽  
Main Function ◽  
Automatic Layout ◽  
And Function ◽  
Plant Simulation ◽  
System Layout

The U-Shaped layout and function of production system is studied, the purpose is showing how the layouts and their main function influence each other, thus to provide enlightenments and references to improve the design of the production system layout. The simple automatic arrangement system is presented based on Plant Simulation software and focused on an equipment layout problem. The automatic layout system is an automatic layout system of workshop layout according to data; adopt the method of simulation modeling combined with optimization of the workshop layout. According to the different optimization objectives, the user can get a different optimal solution. Through simulation, we can get the default layout of the carrying amount, size and arrangement, combined with the enterprise's actual situation. The appropriate adjustments and production efficiency of production workshop are improved, and the operation time of manual modeling is shortened.

Assessment of the MELCOR Code Against PHEBUS Experiment FPT-1 Performed in the Frame of ISP-46

2004 ◽  
Author(s):  
J. Birchley
Keyword(s):  
Good Accuracy ◽  
Current Knowledge ◽  
Fission Products ◽  
Main Tool ◽  
Severe Accident ◽  
Standard Problem ◽  
Nuclear Plants ◽  
Whole Plant ◽  
Computer Codes ◽  
Plant Simulation

Calculations of PHEBUS FPT-1 are performed in the frame of CSNI International Standard Problem ISP-46. The objective of ISP-46 is to assess the capability of computer codes to provide an integral simulation of a severe accident in a Pressurised Water Reactor (PWR), from the initial stages of core heat-up to the behaviour of released fission products in the containment. The present calculations are performed using MELCOR, chosen as the main tool for assessment of Swiss nuclear plants by virtue of its whole-plant simulation capability, using modelling practices as similar as possible to those used in plant analyses. The calculations cover the bundle heat-up, degradation, the release, transport and retention of fission products and other materials, and the thermal-hydraulic and aerosol behaviour in the containment. Comparison between a best-estimate case and experiment demonstrates the code’s ability to capture most aspects of the sequence with fair to good accuracy. Uncertainties remain, particularly in regard to core degradation, and the chemistry and transport of fission products. Weaknesses of code models in these areas largely reflect limitations in current knowledge.

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