Development and validation of software for designing industrial ventilation systems
Irtiqa Imini Pishgiri Masdumiyat (Safety Promotion and Injury Prevention),
Vol. 3 No. 2 (2015),
23 September 2015
,
Page 110- 103
https://doi.org/10.22037/meipm.v3i2.10077
Abstract
Background and Objectives: Designing of a ventilation system is a complex process. In addition to the time consuming calculations of each branch, it requires iterative calculations for balancing parallel branches. Designing of a proper hood, selecting of appropriate duct diameters and choosing of suitable fan are designing processes in which the error may enforce to decrease the system performance and impose additional costs to the system. Error is likely in manual calculations. In present study, a software tool was developed and validated for local exhaust ventilation system design and calculations.
Materials and Methods: The program was written in Visual Basic. Validation of the software was carried out in two parts. The perfection of the provided codes was studied first. In the second part of the validation process, computational results were studied. For this purpose, the validation was conducted in three steps. The results of each part of the program were compared with the results of manual calculations for simple example, benchmark data, and the results obtained from a credited software program. The Bland-Altman analytical method was applied to statistically compare the overall results.
Results: The results revealed that in single hood ventilation systems where the ducts are connected in series, the maximum difference between similar results of the program and benchmark data was 1.27% and the least difference was 0 percent. In complex systems with more than one hood and parallel ducts, the maximum disparity between two similar results gained from this program and either benchmark data or a credited program was 1.77% while the minimum disparity was 0%. Bland-Altman analyses showed that standard deviation of the results from the application of this program to 38-duct pieces was in the range of ± 0.01% for velocity pressure, static pressure as well as total pressure.
Conclusion: The present software is a reliable tool for local exhaust ventilation design.
How to cite this article: Jafari MJ, Abbas Gohari F, Omidi L, Izadi SK, Khoshghovah MH. Development and validation of software for designing industrial ventilation systems.Irtiqa Imini Pishgiri Masdumiyat (Safety Promotion and Injury Prevention).2015;3(2):103-110.
- Ventilation, Design, Air pollution, Software
How to Cite
References
References
Aghilinejad M, Mostafaei M. Occupational medicine practice. Arjmand publishing group. Tehran. Iran.
Jafari MJ, Hajgholami MR, Jafari M, Amiri Z, Omidi L, Salehpour S, et al. Assessment of the effectiveness of
ventilation types for reducing the occupational exposure to bioaerosols in health care staffs. Journal of Occupational
Hygiene Engineering. 2015;1(4):1-10.
Jafari MJ, Karimi A, Azari MR. The role of exhaust ventilation systems in reducing occupational exposure
to organic solvents in a paint manufacturing factory. Indian journal of occupational and environmental medicine.
;12(2):82.
Kumar A, Duvvuru A, Patel I. Development and evaluation of a software for design of industrial ventilation
systems. Environmental progress. 2001;20(1):A6-A10.
Burgess WA, Ellenbecker MJ, Treitman RD. Ventilation for control of the work environment: John Wiley
& Sons; 2004.
Goodfellow HD. Industrial ventilation design guidebook: Academic press; 2001.
Abbas Gohari F. Software to design industrial ventilation systems. Tehran: Shahid Beheshti University of
Medical Sciences; 2013.
Omidvar M, Assilian mahabady H, Khavanin A. Conference of Geology and the Environment, Eslamshahr.
In: 4, editor.: Industrial Ventilation Software Design.2009.
Mahabady HA, Omidvar M, Rezaee A, Khavanin A, Mortazavi S. A new exhaust ventilation system design
software. Iranian Journal of Environmental Health Science & Engineering. 2007; 4(4):235-42.
American Conference of Governmental Industrial Hygienists. In Industrial Ventilation: A Manual of
Recommended Practice for Design, 27th ed, Cincinnati, Ohio: ACGIH. 2010.
Bland JM, Altman D. Statistical methods for assessing agreement between two methods of clinical
measurement. The lancet. 1986;327(8476):307-10.
- Abstract Viewed: 1133 times
- PDF (فارسی) Downloaded: 688 times