A risk management model for integrating resilience into renewable energy projects

Obike, O; Soetanto, R and Sohail, M (2025) A risk management model for integrating resilience into renewable energy projects. Construction Management and Economics, 43(7), pp. 537-555. ISSN 0144-6193

Abstract

Renewable energy (RE) projects are often impacted by external environmental factors that cannot be predicted precisely. Conventional risk management relies solely on predicting risks and subsequently, implementing control measures. Since all risks cannot be predicted, this approach is not suitable for RE projects. Holling's resilience theory explains that systems resist and/or recover from unexpected events due to certain features that enable them to do so. Therefore, building the capacity to succeed despite unexpected events is a more productive pursuit than risk prediction. Through this theoretical lens, a novel risk management model for integrating resilience into RE projects was developed by adapting the Swiss cheese model (SChM). This was then evaluated in a two-stage expert interview with a total of 35 participants. Results confirm the suitability of the SChM as the conceptual basis for the model, and the model's satisfactoriness in terms of presentation, logic, adequacy, completeness, and adaptability. The model complements conventional risk management by providing a platform for assessing the resilience of RE projects to unexpected events and mapping any weaknesses to control measures. This study extends Holling's resilience theory from ecological systems to RE projects, and the application of SChM from accident prevention to risk management.

Item Type: Article
Uncontrolled Keywords: renewable energy projects; resilience theory; risk management; Swiss cheese model; unexpected events
Index terms: interview, accident prevention, suitability, environmental factor, renewable energy, mapping, adaptability, platform, risk management
Subjects: user focus, environmental science, spatial and geospatial analysis, digital design, data collection methods, risk assessment, energy systems, environmental health, design criteria
Topics: Research Practice, Design Practice, Digital Applications, Risk Management, Sustainability
Descriptive scope: 3 PCE

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here