This document describes a use case for a linked data matching service for the renewable energy sector. It involves extracting key entities, facts, and relationships from online news and sources about renewable energy companies, people, technologies, and events. These entities and facts are then enriched by querying additional online sources to add more details and build relationships between the initial entities. The linked data is then analyzed to identify relationships and build a matching profile or recommendation by querying how the entities may be related based on the extracted and derived facts. This matching profile could then provide opportunities or recommendations by matching to existing data.