The adoption of semantic web technologies in the digital construction ecosystem has been advocated for facilitating modularity and extensibility of data schemas, or the use of languages and standards such as the SPARQL query language or SHACL rule verifications that are generic and developed beyond the sole AEC environment. A less known functionality of triple store and the web semantic is the use of reasoning engine that enable a dyamic enrichment of a data model through logic inference. In recent years, more and more research on using reasoning engines applied to AEC practices were developed, often through a reduced set of inference rules. In this paper, we present an experiment on using semantic web technologies, and in particular reasoning engines, to deploy an automatic generation of energy renovation scenarios to compare traditional renovation of enveloppes and renewable installation with an integrated solution developed in the ENSNARE H2020 project, at a feasability study stage. The semantic data model and the inference rules are presented and the overall strategy is discussed and compared with alternative implementations.