Abstract
The ecological transition demands innovative frameworks to reduce industrial resource consumption and environmental impacts. Industrial ecology, particularly through Eco-Industrial Parks (EIPs), provides a promising pathway by enabling exchanges of materials, energy, and water between firms. However, the deployment of EIPs is limited by the lack of standardized industrial profiles and transferable modeling approaches. This study develops a generic framework for representing industrial actors as standardized input-output black-box models, consolidating data on resource consumption, energy demand, by-products, and waste streams. These profiles are structured into a harmonized database to support resource-exchange analysis and scalable optimization across diverse contexts. Complementary mappings of processes and resources, as well as energy and heat demand profiles, enhance the feasibility of identifying synergies such as heat cascading and material reuse. The framework is designed to integrate with optimization approaches to evaluate trade-offs between economic and environmental objectives. The framework highlights the benefits of generalizing industrial profiles for robust and transferable EIP modeling, while also identifying gaps in the integration of social indicators, uncertainty analysis, and governance aspects. This work contributes a methodological foundation for supporting circular, low-carbon industrial systems and provides practical tools for the design and deployment of sustainable industrial zones.