Risk analytics for energy developers
Embed resilience into new and existing projects with Renew Risk’s analytics.
Plan and optimise the financial performance of renewable energy assets
Planning and operating renewable energy infrastructure comes with challenges. Damage to assets can interrupt energy production, inflate insurance costs and jeopardise project financing. For new projects, understanding a potential site’s exposure to risk is key for site selection and feasibility studies. For existing projects, new and continuously improving infrastructure means the associated risk will continue to evolve.
The complexity of managing risk is compounded by location. Renewable energy assets are often built in high-risk locations where natural catastrophes are frequent and intense, and predicted to become even more devastating due to climate change. In short, the need to accurately assess and manage risk is more important than ever before.
Renew Risk’s advanced risk analytics enable energy developers to analyse, understand and quantify the risk of natural catastrophes to their renewable energy assets.
Armed with our data, we help developers build robust risk management strategies, secure more favourable insurance terms and enhance the overall reliability of their projects, securing the energy transition.
Explore our product portfolio
Navigate risk with science-driven risk insights
Tailormade for renewables
Renew Risk is the only organisation focused on risk modelling and analytics for renewable energy infrastructure.
Customisable
Our products capture additional per-asset costs of repair and reinstatement for tailored model loss estimates.
Comprehensive analysis
In-depth risk insights for all assets including substations, cables and foundations, with modifiers including soil type and asset age.
Science driven
Underpinned by vulnerability calculations by world-leading experts.
Regionally calibrated
Built using at-site calibrations.
Industry validated
Our models undergo extensive validation, including comprehensive testing by market-leading early adopters who provide invaluable feedback on the model’s functionality and performance.
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