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Title: Canyon building ventilation system dynamic model -- Parameters and validation

Abstract

Plant system simulation crosses many disciplines. At the core is the mimic of key components in the form of mathematical ``models.`` These component models are functionally integrated to represent the plant. With today`s low cost high capacity computers, the whole plant can be truly and effectively reproduced in a computer model. Dynamic simulation has its roots in ``single loop`` design, which is still a common objective in the employment of simulation. The other common objectives are the ability to preview plant operation, to anticipate problem areas, and to test the impact of design options. As plant system complexity increases and our ability to simulate the entire plant grows, the objective to optimize plant system design becomes practical. This shift in objectives from problem avoidance to total optimization by far offers the most rewarding potential. Even a small reduction in bulk materials and space can sufficiently justify the application of this technology. Furthermore, to realize an optimal plant starts from a tight and disciplined design. We believe the assurance required to execute such a design strategy can partly be derived from a plant model. This paper reports on the application of a dynamic model to evaluate the capacity of an existingmore » production plant ventilation system. This study met the practical objectives of capacity evaluation under present and future conditions, and under normal and accidental situations. More importantly, the description of this application, in its methods and its utility, aims to validate the technology of dynamic simulation in the environment of plant system design and safe operation.« less

Authors:
 [1];  [2]
  1. Westinghouse Savannah River Co., Aiken, SC (United States)
  2. Bechtel National, Inc., San Francisco, CA (United States)
Publication Date:
Research Org.:
Westinghouse Savannah River Co., Aiken, SC (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
10132590
Report Number(s):
WSRC-TR-93-010; CONF-930862-1
ON: DE93007633
DOE Contract Number:  
AC09-89SR18035
Resource Type:
Conference
Resource Relation:
Conference: 1993 American Society of Mechanical Engineers (ASME) international computers in engineering conference and exposition,San Diego, CA (United States),8-12 Aug 1993; Other Information: PBD: [1993]
Country of Publication:
United States
Language:
English
Subject:
12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; SAVANNAH RIVER PLANT; RADIOACTIVE WASTE PROCESSING; BUILDINGS; VENTILATION; FILTERS; PARTICULATES; STACKS; EMERGENCY PLANS; MATHEMATICAL MODELS; 052001; WASTE PROCESSING

Citation Formats

Moncrief, B R, and Chen, F F.K. Canyon building ventilation system dynamic model -- Parameters and validation. United States: N. p., 1993. Web.
Moncrief, B R, & Chen, F F.K. Canyon building ventilation system dynamic model -- Parameters and validation. United States.
Moncrief, B R, and Chen, F F.K. 1993. "Canyon building ventilation system dynamic model -- Parameters and validation". United States. https://www.osti.gov/servlets/purl/10132590.
@article{osti_10132590,
title = {Canyon building ventilation system dynamic model -- Parameters and validation},
author = {Moncrief, B R and Chen, F F.K.},
abstractNote = {Plant system simulation crosses many disciplines. At the core is the mimic of key components in the form of mathematical ``models.`` These component models are functionally integrated to represent the plant. With today`s low cost high capacity computers, the whole plant can be truly and effectively reproduced in a computer model. Dynamic simulation has its roots in ``single loop`` design, which is still a common objective in the employment of simulation. The other common objectives are the ability to preview plant operation, to anticipate problem areas, and to test the impact of design options. As plant system complexity increases and our ability to simulate the entire plant grows, the objective to optimize plant system design becomes practical. This shift in objectives from problem avoidance to total optimization by far offers the most rewarding potential. Even a small reduction in bulk materials and space can sufficiently justify the application of this technology. Furthermore, to realize an optimal plant starts from a tight and disciplined design. We believe the assurance required to execute such a design strategy can partly be derived from a plant model. This paper reports on the application of a dynamic model to evaluate the capacity of an existing production plant ventilation system. This study met the practical objectives of capacity evaluation under present and future conditions, and under normal and accidental situations. More importantly, the description of this application, in its methods and its utility, aims to validate the technology of dynamic simulation in the environment of plant system design and safe operation.},
doi = {},
url = {https://www.osti.gov/biblio/10132590}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Feb 01 00:00:00 EST 1993},
month = {Mon Feb 01 00:00:00 EST 1993}
}

Conference:
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