Over the past decade, the renewable energy industry has rapidly expanded. Think about wind, solar, biomass and hydropower.
How can energy companies achieve a sustainable transformation to renewable energy? One of the keys to success is investigating the challenges and ultimately tackling them. To help you get started we have listed the 4 biggest risk management challenges of the wind energy industry.
1 – Limited incident data available
Learning from incidents not only prevents an accident from recurring or improving the hazards bottom-up, but it also improves the quality of overall top-down management. However, with a relatively short history of renewables, incident data is limited for identifying all typical root causes of incidents (/deviations/accidents) and for further improving regulations.
Since most renewable projects are still young, it is unlikely that there are major accidents, which can be studied deeply. In many traditional industries, the revolution of EHS risk management comes after some major accidents. For example, after the Piper Alpha disaster, the regulations for offshore safety management were improved, and systematic HSE systems are widely applied in the oil & gas field since then. Although nobody expects disasters, it is a fact that we have few lessons to learn from major accidents in renewable energy.
In modern information management systems of an organization, incident registration is always one of the most significant modules for risk management. The renewable energy sectors use this kind of system to collect data as well. As time goes by, more and more incident data will contribute to this booming industry.
2 – Unsure risk scenarios
Due to the first challenge, the resources for creating risk scenarios are scarce. If you follow a classic risk management process (find a blog on EHS risk management), you need to clarify the business process first; then you can identify the risk during these processes; and incident data is one of the resources for risk inventory and analysis. However, the technologies in renewables are innovative and the working processes are rapidly changing. Risk identification normally is lagging for certain industrial processes. Therefore, it is difficult to complete risk inventory, create risk scenarios accordingly and further assess their risk level in this industry.