Automatic derivation of qualitative plant simulation models from legacy piping and instrumentation diagrams

2016 ◽  
Vol 92 ◽  
pp. 112-132 ◽  
Author(s):  
Esteban Arroyo ◽  
Mario Hoernicke ◽  
Pablo Rodríguez ◽  
Alexander Fay
Keyword(s):  
Simulation Models ◽  
Plant Simulation

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 Identification of production bottlenecks with the use of Plant Simulation software

2016 ◽  
Vol 8 (4) ◽  
pp. 103-112 ◽  
Author(s):  
Mateusz Kikolski
Keyword(s):  
Computer Simulation ◽  
Production Capacity ◽  
Simulation Models ◽  
Simulation Software ◽  
Computer Assisted ◽  
Problem Analysis ◽  
Production Lines ◽  
Major Objective ◽  
Plant Simulation ◽  
Research Show

Abstract The problem of bottlenecks is a key issue in optimising and increasing the efficiency of manufacturing processes. Detecting and analysing bottlenecks is one of the basic constraints to the contemporary production enterprises. The enterprises should not ignore problems that significantly influence the efficiency of the processes. People responsible for the proper course of production try to devise methods to eliminate bottlenecks and the waiting time at the production line. The possibilities of production lines are limited by the throughput of bottlenecks that disturb the smoothness of the processes. The presented results of the experimental research show the possibilities of a computer simulation as a method for analysing problems connected with limiting the production capacity. A computer-assisted simulation allows for studying issues of various complexities that could be too work-consuming or impossible while using classic analytical methods. The article presents the results of the computer model analysis that involved the functioning of machinery within a chosen technological line of an enterprise from a sanitary sector. The major objective of the paper is to identify the possibility of applying selected simulation tool while analysing production bottlenecks. An additional purpose is to illustrate the subjects of production bottlenecks and creating simulation models. The problem analysis involved the application of the software Tecnomatix Plant Simulation by Siemens. The basic methods of research used in the study were literature studies and computer simulation.

scholarly journals Coupled Gas-Exchange Model for C4 Leaves Comparing Stomatal Conductance Models

Plants ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1358
Author(s):  
Kyungdahm Yun ◽  
Dennis Timlin ◽  
Soo-Hyung Kim
Keyword(s):  
Stomatal Conductance ◽  
Gas Exchange ◽  
Leaf Gas Exchange ◽  
Water Status ◽  
Simulation Models ◽  
Exchange Model ◽  
Modeling Framework ◽  
Wide Range ◽  
Plant Simulation ◽  
Gas Exchange Model

Plant simulation models are abstractions of plant physiological processes that are useful for investigating the responses of plants to changes in the environment. Because photosynthesis and transpiration are fundamental processes that drive plant growth and water relations, a leaf gas-exchange model that couples their interdependent relationship through stomatal control is a prerequisite for explanatory plant simulation models. Here, we present a coupled gas-exchange model for C4 leaves incorporating two widely used stomatal conductance submodels: Ball–Berry and Medlyn models. The output variables of the model includes steady-state values of CO2 assimilation rate, transpiration rate, stomatal conductance, leaf temperature, internal CO2 concentrations, and other leaf gas-exchange attributes in response to light, temperature, CO2, humidity, leaf nitrogen, and leaf water status. We test the model behavior and sensitivity, and discuss its applications and limitations. The model was implemented in Julia programming language using a novel modeling framework. Our testing and analyses indicate that the model behavior is reasonably sensitive and reliable in a wide range of environmental conditions. The behavior of the two model variants differing in stomatal conductance submodels deviated substantially from each other in low humidity conditions. The model was capable of replicating the behavior of transgenic C4 leaves under moderate temperatures as found in the literature. The coupled model, however, underestimated stomatal conductance in very high temperatures. This is likely an inherent limitation of the coupling approaches using Ball–Berry type models in which photosynthesis and stomatal conductance are recursively linked as an input of the other.

scholarly journals Production Planning Based on a Genetic Algorithm Controlled Simulation Model

2021 ◽  
pp. 233-243
Author(s):  
Alexey N. Sochnev
Keyword(s):  
Genetic Algorithm ◽  
Simulation Model ◽  
Optimization Procedure ◽  
Simulation Models ◽  
Simulation Software ◽  
Simulation Approach ◽  
Fitness Functions ◽  
Optimization And Simulation ◽  
Plant Simulation ◽  
Positive Effect

The article proposes an approach to solving the task of operational calendar planning of production based on the application of the principles of the optimization and simulation approach. The production simulation model is implemented using the Tecnomatix Plant Simulation software. The optimization procedure is represented by a genetic algorithm. In the implementation of the genetic algorithm, a simulation model is used to evaluate fitness functions. An example of using the proposed approach for a typical production system is given and the positive effect of its application is confirmed. Features of use, positive and negative properties, as well as the possibility of replication to other types of simulation models are revealed

THE APPLICATION OF GAS PLANT SIMULATION BY COMPUTER TECHNIQUES TO THE GIPPSLAND PLANT START-UP

1971 ◽  
Vol 11 (1) ◽  
pp. 135
Author(s):  
J. M. Schubert
Keyword(s):  
Natural Gas ◽  
Crude Oil ◽  
Initial Conditions ◽  
Simulation Models ◽  
Development Project ◽  
Gas Absorption ◽  
Simulation Techniques ◽  
Start Up ◽  
Plant Simulation ◽  
Computer Simulation Models

Start-up of the first portion of the Gippsland Basin Development project was begun in March, 1969, when gas was delivered into Victorian metropolitan markets. The gas and crude producing system which spans a pipeline distance of some 200 miles will ultimately include five offshore producing platforms and two onshore plant complexes capable of producing and processing 400 MMCFD of natural gas, 300,000 BPD of crude oil, fractionating 45,000 BPD of LPG, and terminalling both crude and LPG including marine tanker operations. The major portion of the plant complexes and three of the platforms have been successfully placed in operation to date.Detailed analysis and planning of all aspects resulted in safely placing these facilities in operation at the earliest possible time with maximum safety and minimum lost production. However, inter-relation of multi-product commitments for natural gas, ethane, LPG and stabilized crude oil compounded the burden of the segmented system start-up, necessitating prompt and frequently overlapping start-up of more than one segment at a time. Furthermore, initial conditions were necessarily quite different from design.Throughput of crude was in the order of 100,000 BPD with significantly different properties from the mix ultimately expected. The gas absorption plant was initially operated with a throughput of approx. 25 MMSCFD, some 8 percent of design. To provide process set points and optimize start-up procedures, computer simulation models of each of the plants were made, and the results integrated into a comprehensive plant start-up plan.This presentation will discuss the simulation techniques used, together with the development and application of the start-up plan.

scholarly journals Sterilization Plant simulation of whole milk UHT Type through the Aspen plus

2015 ◽  
Vol 6 (2) ◽  
pp. 67
Author(s):  
Thafarelly Bismarck Da Silva Melo ◽  
Brenda Natália Vieira Marcolino
Keyword(s):  
Direct Injection ◽  
Chemical Properties ◽  
Simulation Models ◽  
Aspen Plus ◽  
Operating Conditions ◽  
Flash Evaporation ◽  
Whole Process ◽  
Processing Plants ◽  
Equipment Sizing ◽  
Plant Simulation

<p>The milk sterilization process aims to diminish or extinguish the microbial load present in the food in order to reduce possible damage arising of the metabolic processes of microorganisms that might be present in food. The system currently used in milk processing plants have direct injection principle oversaturated steam in a certain volume of milk in order to establish microbiological reduction, then the product is directed to a tank where flash evaporation condensed the steam is taken off after the product part to the homogenizer where fat molecules are broken making the standardized product. In this whole process is used a system called VTIS (Vacum Therm Instant Steriliser) developed by Tetra Pak company that consists of a piece of equipment back to the sterilization of liquid foods. The computational model used the Aspen plus programmable plataform that by means of unit operations allows you to predict the behavior of a process, this plataform lets you interactively vary some elements of the process in order to obtain desired results through the flowsheets of feed compositions and operating conditions. The ASPEN plus enables the realization of sensitivity analysis, generation of graphs and tables, estimation, regression of physic-chemical properties, settings of simulation models the operative data, equipment sizing, cost analysis, and data input sheets of calculations. As a result was able to reproduce a process without the need for costs.</p>

Correlation of Pore Structure and Permeability by SEM-Image Analysis

1990 ◽  
Vol 48 (1) ◽  
pp. 428-429
Author(s):  
C. A. Callender ◽  
Wm. C. Dawson ◽  
J. J. Funk
Keyword(s):  
Image Analysis ◽  
Pore Structure ◽  
Imaging System ◽  
Pore Space ◽  
Simulation Models ◽  
Image Analyzer ◽  
Imaging Data ◽  
Sem Images ◽  
Thin Sections ◽  
Rock Types

The geometric structure of pore space in some carbonate rocks can be correlated with petrophysical measurements by quantitatively analyzing binaries generated from SEM images. Reservoirs with similar porosities can have markedly different permeabilities. Image analysis identifies which characteristics of a rock are responsible for the permeability differences. Imaging data can explain unusual fluid flow patterns which, in turn, can improve production simulation models.Analytical SchemeOur sample suite consists of 30 Middle East carbonates having porosities ranging from 21 to 28% and permeabilities from 92 to 2153 md. Engineering tests reveal the lack of a consistent (predictable) relationship between porosity and permeability (Fig. 1). Finely polished thin sections were studied petrographically to determine rock texture. The studied thin sections represent four petrographically distinct carbonate rock types ranging from compacted, poorly-sorted, dolomitized, intraclastic grainstones to well-sorted, foraminiferal,ooid, peloidal grainstones. The samples were analyzed for pore structure by a Tracor Northern 5500 IPP 5B/80 image analyzer and a 80386 microprocessor-based imaging system. Between 30 and 50 SEM-generated backscattered electron images (frames) were collected per thin section. Binaries were created from the gray level that represents the pore space. Calculated values were averaged and the data analyzed to determine which geological pore structure characteristics actually affect permeability.

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