AAS-Enabled Emissions Attribution for Multi-Tenant Industrial Storage Infrastructure

Abstract

Industrial sustainability reporting increasingly requires traceable product- and lifecycle-related emissions data, yet shared on-premise IT infrastructure remains weakly represented in AAS-, PCF-, and DPP-oriented manufacturing data flows. This is particularly challenging for multi-tenant industrial storage, where shared capacity pools, redundancy mechanisms, and heterogeneous architectures complicate emissions attribution. This paper presents an AAS-enabled approach for attributing embodied and operational emissions of shared storage infrastructure under realistic industrial measurement constraints. We extend the IDTA Carbon Footprint submodel to represent hierarchical storage assets and tenant-specific allocation results. On this basis, we define an attribution model that combines capacity shares with depreciation-aware time factors, accounts for redundancy, and assigns unused capacity to the operator. A BaSyx demonstrator and scenario-based test cases show that the approach enables consistent, traceable, and auditable attribution and makes shared infrastructure emissions available for downstream PCF- and DPP-oriented reporting.