At present, the capability to collect information from different sources (BIM, Sensors, Assets database) for Asset Management (AM) use has generated significant opportunities for asset owners and Facility Managers. Building Information Modeling (BIM) in particular, is considered as a potentially effective data pool for storing and managing project information during the 15 building lifecycle, providing a common data environment for stakeholder data and guarantying 16 information availability and credibility at the handover stage. However, this data integration in a BIM environment has come along with issues related to the establishment of an effective process to extract, store, manage, integrate and distribute data to ensure interoperability. Further to the interoperability issue, an important challenge is the identification of what data is relevant, reliable, useful and also can add value to the AM processes. This research explores the asset owner requirements from BIM in the operation and maintenance stage from an AM perspective. The research aim is twofold: first, to synthesize the non-geometric BIM data required for AM 23 and develop a relevant taxonomy. And secondly, to develop an Application Programing Interface 24 2 (API) plug-in for Autodesk Revit in order to implement the proposed taxonomy. To achieve the aims of this study, a critical review of previous literature, face-to-face and focus group interviews with BIM and Facilities Management (FM) experts were conducted. The main output is a sixty-parameter Asset Consuming Energy Information Management (ACE-IM) taxonomy and the relevant API plug-in which can help BIM professionals to identify the required data to be submitted to Facility Managers in order to improve AM processes.