RAWCLIC – Consolidated Composition Data – Heat Pumps

The digital and green transition fundamentally reshapes global material demand and the future supply of secondary raw materials. Within this context, the RAWCLIC project provides a harmonized and consolidated dataset of heat pump compositions, essential for supporting robust resource management and circular economy strategies.

By applying the RAWCLIC framework to composition data sourced primarily from Environmental Product Declarations (EPDs), we have performed an uncertainty-based analysis (Monte Carlo) to refine and integrate complex information on heat pumps. This dataset enables systematic assessments.

The record consists of three primary components:

• Consolidated Dataset (RAWCLIC_HP_consolidated_data_V1.xlsx)
• Data Description Document (RAWCLIC_HP_consolidated_data_description_V1.pdf)
• Distribution Profiles (Consolidation_Results.zip): A compressed archive containing detailed distribution data organized into 50 bins. These files enable the reconstruction of material distributions by providing key parameters such as minimum, maximum, count, and frequency. To ensure clarity and machine-readability, the files follow a strict naming convention that encodes essential metadata, including:
  • Relevant product, component, and material keys, as well as element identifiers where required.
  • Parameter codes necessary for clarifying the compositional information.

This dataset is designed to support life cycle assessments (LCA), material flow analysis (MFA), and the development of Digital Product Passports (DPP) by providing a transparent, evidence-based foundation for battery material research.