International Journal of Occupational Hygiene 2018. 10(2):.

Analysis of Construction Safety Risk in House Power of a Power Plant Based on Bow-Tie Technique


Introduction: Large construction projects are always at high risk. Safety in these projects is vulnerable position. Analysis of risk resources and its safety risk is one of the important activities to prioritize existing risks as well as managing them in the process of building a power plant as one of the most dangerous industries in terms of safety risks. The purpose of this study was to analyze the safety risks existing in the construction phase in a power plant based on the Bow-tie technique.

Method: This is a cross-sectional analytical study that was carried out at house power of a combined cycle power plant in 2017. Safety analysis of risks in this study was performed based on the Bow-tie technique using the Bow Tie ProTM software. For the more effectiveness of this study, two phases of system descriptions and identifying risk sources have been designed and implemented before the risk analysis steps, and the identification of the path of each branch of the Bow-tie chart (consequence to event occurrence).

Results: The results of analysis of the relationship between the elements of each activity and its threats and its consequences showed that the highest level of threats has related to pressured cylinders, welding and cutting (8 threats including mechanical damage, heat, transportation, unsafe connections, cylinders storage, oil and grease, leakage and flame retardation); the most significant consequences have related to heavy loading (3 consequences including human injury, damage to cranes and damage to facilities and equipment), and pressured cylinders, welding and cutting (3 consequences of human injury, fire and explosion and damage to facilities and equipment).

Conclusion: The findings of the study indicated that the use of Bow Tie ProTM software is a suitable method for analyzing the safety risks of large projects such as the construction of a power plant that can lead to provide preventive and limiting safety measures in order to prevent and reduce threats as well as to control the safety implications of construction activities.


Safety, Risk Analysis, Bow-tie Technique, Power Plant


Haimes, Y.Y., Risk modeling, assessment, and management. 2015: John Wiley & Sons.

Chapman, R.J., The controlling influences on effective risk identification and assessment for construction design management. International Journal of Project Management, 2001. 19(3): p. 147-160.

Fatemeh, K., et al., Analysis of Root Causes of Major Process Accident in Town Border Stations (TBS) using Functional Hazard Analysis (FuHA) and Bow tie Methods. Muhandisī-i bihdāsht-i ḥirfah/ī, 2014. 1(3): p. 19-28.

de Ruijter, A. and F. Guldenmund, The bowtie method: A review. Safety science, 2016. 88: p. 211-218.

Jacinto, C. and C. Silva, A semi-quantitative assessment of occupational risks using bow-tie representation. Safety Science, 2010. 48(8): p. 973-979.

Khakzad, N., F. Khan, and P. Amyotte, Dynamic risk analysis using bow-tie approach. Reliability Engineering & System Safety, 2012. 104: p. 36-44.

Mulcahy, M.B., et al., Using bowtie methodology to support laboratory hazard identification, risk management, and incident analysis. Journal of Chemical Health and Safety, 2017. 24(3): p. 14-20.

MOGHADDASI, M., G.H. HALVANI, and M.S. BAFGHI, The Use of accident indicators for risk assessment monitoring in design and construction phase of pelletizing project, 2016-2017. International Journal of Occupational Hygiene, 2017. 9(3): p. 171-178.

Korhonen, P.J. and M. Luptacik, Eco-efficiency analysis of power plants: An extension of data envelopment analysis. European journal of operational research, 2004. 154(2): p. 437-446.

Omidvari, M. and M.R. Gharmaroudi, Analysis of human error in occupational accidents in the power plant industries using combining innovative FTA and meta-heuristic algorithms. Journal of Health and Safety at Work, 2015. 5(3): p. 1-12.

Soltanzadeh, A., et al., Key factors contributing to accident severity rate in construction industry in Iran: a regression modelling approach/Primjena regresijskog modela u analizi ključnih čimbenika koji pridonose težini nesreća u građevinskoj industriji u Iranu. Archives of Industrial Hygiene and Toxicology, 2016. 67(1): p. 47-53.

Soltanzadeh, A., et al., Exploring causal factors on the severity rate of occupational accidents in construction worksites. International journal of civil engineering, 2017. 15(7): p. 959-965.

Nag, P., Power plant engineering. 2002: Tata McGraw-Hill Education.

Ferdous, R., et al., Handling and updating uncertain information in bow-tie analysis. Journal of Loss Prevention in the Process Industries, 2012. 25(1): p. 8-19.

Targoutzidis, A., Incorporating human factors into a simplified “bow-tie” approach for workplace risk assessment. Safety science, 2010. 48(2): p. 145-156.

Soltanzadeh, A., et al., Analysis and forecasting the severity of construction accidents using artificial neural network. Safety Promotion and Injury Prevention, 2017. 4(3): p. 185-192.

Heyrani, P. and A. Baghaei, Risk assessment in gas and oil pipelines based on the fuzzy Bow-tie technique. Journal of Health and Safety at Work, 2016. 6(1): p. 59-70.

JAFARI, M., S. LAJEVARDI, and I. MOHAMMAD-FAM, Semi quantitative risk assessment of a Hydrogen production unit. International Journal of Occupational Hygiene, 2015. 5(3): p. 101-108.


  • There are currently no refbacks.

Creative Commons Attribution-NonCommercial 3.0

This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.