Skip to main content

Research Repository

Advanced Search

Domain-specific risk assessment using integrated simulation: a case study of an onshore wind project

Mohamed, Emad; Gerami-Seresht, Nima; Hague, Stephen; Chehouri, Adam; AbouRizk, Simaan

Authors

Emad Mohamed

Stephen Hague

Adam Chehouri

Simaan AbouRizk



Abstract

Although many quantitative risk assessment models have been proposed in literature, their use in construction practice remain limited due to a lack of domain-specific models, tools, and application examples. This is especially true in wind farm construction, where the state-of-the-art integrated Monte Carlo simulation and critical path method (MCS–CPM) risk assessment approach has yet to be demonstrated. The present case study is the first reported application of the MCS–CPM method for risk assessment in wind farm construction and is the first case study to consider correlations between cost and schedule impacts of risk factors using copulas. MCS–CPM provided reasonable risk assessment results for a wind farm project, and its use in practice is recommended. To facilitate the practical application of quantitative risk assessment methods, this case study provides a much-needed analytical generalization of MCS–CPM, offering application examples, discussion of expected results, and recommendations to wind farm construction practitioners.

Citation

Mohamed, E., Gerami-Seresht, N., Hague, S., Chehouri, A., & AbouRizk, S. (2022). Domain-specific risk assessment using integrated simulation: a case study of an onshore wind project. Canadian Journal of Civil Engineering, 49(5), 770-782. https://doi.org/10.1139/cjce-2021-0099

Journal Article Type Article
Acceptance Date Jul 10, 2021
Online Publication Date Jul 21, 2021
Publication Date 2022-05
Deposit Date Feb 7, 2023
Journal Canadian Journal of Civil Engineering
Print ISSN 0315-1468
Electronic ISSN 1208-6029
Publisher Canadian Science Publishing
Peer Reviewed Peer Reviewed
Volume 49
Issue 5
Pages 770-782
DOI https://doi.org/10.1139/cjce-2021-0099
Public URL https://durham-repository.worktribe.com/output/1181032