As the world moves towards decarbonization, renewable hydrogen is gaining prominence as a sustainable alternative to fossil fuels. Despite the potential, there are currently no large-scale renewable hydrogen production plants in operation, presenting a challenge to meet future demand. To achieve net-zero goals by 2030, an estimated investment of around $700 billion may be necessary. Most hydrogen production today leans towards 'grey' or 'blue' methods, predominantly serving industries like fertilizers and refineries. For a successful transition to cleaner energy, developers require effective tools to assess risks and expedite the scaling of green hydrogen plants. Digital twins, a technology that creates virtual replicas of physical plants, could play a crucial role in addressing these needs. By simulating plant operations from inception to execution, digital twins can help in mitigating risks, cutting costs, and fast-tracking project timelines. They can also tackle economic challenges associated with renewable hydrogen projects such as high infrastructure costs and the variability of renewable energy sources. However, developers are facing hurdles in securing approvals and investments in regions like Europe. One significant challenge is the surge in capital costs of essential electrolyzers by approximately 70%, attributed to factors like financing, labor, and materials. Despite the existence of cheaper electrolyzer options, their performance under certain conditions adds complexity to project planning. Balancing electrolyzer costs and performance, taking into account their size and sequencing, becomes crucial. To attract investors for substantial projects, securing early offtake agreements guaranteeing a portion of production is vital. Yet, higher interest rates pose difficulties in obtaining affordable debt, leading developers to seek more equity and escalate initial costs. Navigating diverse regulatory requirements further complicates large-scale renewable hydrogen projects, given varying rules on carbon intensity and facility locations across regions. Digital twins can aid in optimizing plant designs by simulating various configurations and components, potentially reducing lifetime operational costs and enhancing efficiency. They contribute to refining maintenance strategies, predicting costs accurately, and facilitating smoother financing processes. Additionally, digital twins streamline project workflows by allowing rapid virtual modeling and assessment. Through customizable dashboards, they assist in finance and management, serving as a basis for performance comparisons. In the context of global investments in renewable hydrogen, digital twin technology emerges as a valuable tool in cost reduction and operational efficiency enhancement throughout a plant’s life cycle. It has the potential to play a pivotal role in making large-scale hydrogen projects economically feasible and aligned with global decarbonization targets.