IntroductionClimate change increases physical risks to energy infrastructure, and sustainability regulations such as the EU Taxonomy consequently require that companies conduct physical climate risk and vulnerability assessments consistent with IPCC concepts and ISO standards. However, existing guidance is often constrained by high data requirements.MethodsThis study proposes an energy sector database-integrated framework that identifies climate hazards relevant to a specified activity at a given location and then assigns corresponding climate indicators to extract scenario-based climate projections, using a systematic literature review and open access climate data from the Copernicus Climate Data Store.ResultsThe review of 23 Climate-ADAPT publications identified 4,461 hazard–activity associations across 31 EU Taxonomy energy activities. These associations were linked to 79 relevant Copernicus indicators, resulting in 143 documented hazard–indicator matchings with information on spatial resolution, scenario coverage, and temporal range. The framework requires three readily available inputs: economic activity, technological specification, and geographic location, and incorporates additional geospatial datasets to filter relevant hazards and assign suitable indicators. A case study on electricity generation from solar photovoltaic technology in Aachen, Germany, demonstrates that the framework streamlines hazard identification and enables retrieval of high-resolution, scenario-based climate projections.DiscussionThe framework thereby operationalizes the hazard identification and quantification stages of EU Taxonomy-aligned climate risk and vulnerability assessments, whereas the subsequent evaluation of vulnerability and materiality remains the responsibility of the assessing practitioner. Overall, the framework reduces data burden, improves transparency, and supports scalable application across energy technologies, while facilitating the integration of climate adaptation into corporate planning and decision making.