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. Aimed at facilitating 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.
Original language | English |
---|---|
Pages (from-to) | 770-782 |
Number of pages | 13 |
Journal | Canadian Journal of Civil Engineering |
Volume | 49 |
Issue number | 5 |
Early online date | 21 Jul 2021 |
DOIs | |
Publication status | Published - May 2022 |
Keywords
- Renewable energy
- wind farm
- construction
- risk
- risk assessment
- CPM
- Monte Carlo simulation
- Construction
- Critical path method (CPM)
- Risk assessment
- Risk
- Wind farm