Prioritizing Risks and Proposing a Risk Management Model in Wind Farms Developments According to Project Management Standard

Document Type : Research Article


Amirkabir University of Technology, Tehran, Iran


This article proposed project risk management model based on different project phases with emphasis on construction and installation phases and considering risk management in powerhouse projects. Accordingly, a case study on Manjil Wind Farm was conducted to firstly detect the most important risks of construction and installation phases in this project, considering different potential risks that identified and then, to propose the risk management model to evaluate the effect size, the possibility of diagnosis and risk incidence, and their impact on the main objectives of this project which are time, quality, expenses and security. Moreover, a model was proposed to prioritize the detected risks in this project based on group opinions and Analytic Hierarchy Process (AHP) method, and the following results were gathered. After determining the detected risks priorities, react or response programs to critical and important risks were provided and the consequence of react or revision actions in risk management program were recorded with offering some comments.


Main Subjects

[1] Rafiezahdeh, E, Ardeshir, A. Qualitive Risk assessment of development projects with fuzzy logic approach,5th Int. conference on project management, 2009, 1-19.
[2] Flanagan R, Norman G., Risk management and construction. Victoria, Australia: lack well Sci ence Pty Ltd. 1993.
[3] Erich Hau Wind turbines: fundamentals, technologies, application, economics Birkhäuser, ISBN. 2006.
[4] Smith N.J., Managing risk in construction projects. Oxford: Blackwell. 1999.
[5] Zou PXW, Zhang G, Wang JY., Identifying key risks in construction projects: life cycle and stakeholder perspectives. In: Proc. 12th Pacific rim real estate society conference, Auckland, New Zealand, January 2006, 22-25.
[6] Zeng J, An M, Chan AHC., A fuzzy reasoning decision making approach based multi-expert judgment for construction project risk analysis. In: Khosrowshahi F, editor. Proceedings of the twenty-first annual conference. Association of Researchers in Construction Management (ARCOM). London, UK; 2005. 841–52.
[7] Jiahao Zeng, Min An , Nigel John Smith., Application of a fuzzy based decision making methodology to construction project risk assessment. International Journal of Project Management 25, 2007. 589–600.
[8] Project Management Institute; A guide to the project management body of knowledge (PMBOK Guide); 4th Ed. Pennsylvania: Project Management Institute, Inc., 2008.
[9] Seyeded esfahani, M.m; Arish. A; akbarporshirazi, M., Case –based decision support Model for risk response planning, Int. Journal of Industrial Eng. And production research Urban Planning, 20(3), 1-14.
[10] Emami, N, Behbaninia, A, Khalajie Assadi, M, Abadi, Z, Risk analysis Metodlogies for financial Evauation of establishing wind power plant with Montcarlo simulation aids. 7thInt.conference on Management, Tehran, Aryanna Research Gropup. 2009.
[11] Amini, A, Ramazani, M. Flghi, h., Economicload distribution considering the risk of wind power in the power grid using a multi –objective new algorithm based on the bacterial motions, Nineteen conference on electrical eng. 2011.
[12] Banjad, M,. Hajiabadi, M. A. Evaaluating the price behavior of electricity by considering the Ucertaines in the production of wind power plants. 4th conference on clean energy, 2014.
[13] Khamenh, A. H. Application of risk management In an Int.Tender For power Plant project. Fifth Int.Project Management conference, Tehran. Ariana Research Group, 2009.
[14] Salehi heidari, S. Sabzeparvar, Ahadzadh Namim, M. Acomprehensive Model for supply chain security risk managent using fuzzy logic security risk management using fuzzy analytical hierarchy process and fuzzy topsis. First conference on management and accounting, 2013.
[15] Sheikh, M. J. Sabahi, M. H, Reyhani, Hemedani, H., Applied of risk Managemet, Third Int. Management Conference, Tehran, Research group, 2013.
[16] Sharaki, A. Alizadeh, M. Moradi, M, Risk Assessment in work Environment using a fuzzy multi –critreria model, 7th national conference on occupational. 2011.
[17] Fili, H. r, Nikpi, A. A, Keshavarz Shvarani, p,. Parasa, P. Improvement of power generation at the wind power plantusing the risk management approach, Second Int. conference on modernapproaches to energy conversation, Tehran, South pars energy economy. 2012.
[18] Kayghbadi, m and Nouri, S,. Improvement & Development of project risk management Patern In power Plants (case study: Mapna company), Fifth Int. project Management conference, Tehran, Ariana research Group, 2009.
[19] RekabIslami, M. Ardeshir, A. Maknon, R. Amodel for risk ranking in fuzzy approach building projects, National conference on computional and optimization in civil engineering, 2013.
[20] Braglia, M., Frosolini, M., & Montanari, R., Fuzzy TOPSIS approach for failure mode, effects and criticality analysis. Quality and Reliability Engineering International, 19, 2003. 425–443.
[21] Carr, V., Tah, JH., A fuzzy approach to construction project risk assessment and analysis: construction project risk management system. Advances in Engineering Software 32. 2001. 847-857.
[22] Ebrahimnejad, S., Mousavi, S.M., Seyrafianpour, H., Risk identification and assessment for build–operate–transfer projects: A fuzzy multi attribute decision making model. Expert Systems with Applications. 37, 2010.575-586.
[23] Emblemsvåg, J., Kjølstad, L.E., Strategic risk analysis – a field version. Management Decision Journal. 40(9), 2002. 842–852.
[24] Gurcanli, G.E., Mungen, U., An occupational safety risk analysis method at construction sites using fuzzy sets. International Journal of Industrial Ergonomics. 39(2), 2009. 371–387.
[25] Ross, T., Donald, S., A fuzzy multi-objective approach
to risk management. In: mohsen JP.editor Computing in civil engineering: proceeding of the second congress held in conjunction with A/E/C systems. New York. ASCE. 1995. 1400-1403
[26] Ross, T., Donald, S., A fuzzy logic paradigm for fault trees and event trees in risk assessment. ASCE. 1996. 369-375
[27] Tah, JH, Thorpe, A., Mc Caffer, R., Constractor project risks contingency allocation using linguistic approximation. Computer system Engineering. 4(2-3). 1993. 281-293
[28] Zhiming, Q.U., Application of Comprehensive Fuzzy Evaluation in Engineering Project Risk. Journal of Information and Communication Technology, Published in: Risk Management & Engineering Management. ICRMEM '08. International Conference, 2009. 466 - 471.