Process integration for industry decarbonization: Enabling a shared database of ex-ante models of industrial processes, decarbonization technologies and energy systems featuring sustainability metrics
The mass adoption of process simulators has accelerated data generation for the process synthesis and optimization, which is reflected in growing rates of scientific publications. However, many models are constantly redeveloped due to the limited scientific collaboration and confidentiality issues. Poorly documented databases also hinder the sharing of models between public-funded researchers, and research data is often static and difficult to reproduce, hampering comparability and reliability.
To address these challenges, the creation of an open-source database for ex-ante models is crucial, facilitating knowledge transfer and promoting industrial symbiosis. This work aims to enable the procedures and infrastructure needed to build a shared database of ex-ante models of relevant industrial processes, decarbonization technologies and energy systems, with clear definitions of model attributes, adopted syntax, sharing protocols, reporting standards and visualization tools. The set of industrial and technological blueprints summarizes key material and energy flows without revealing confidential data, and being helpful for assisting in energy audits, identifying inefficiency sources and improving energy integration practices.
The database of processes and energy technology models ranges from simple equation-oriented modeling approaches to complex sequential modular simulations with detailed internal flows, featuring a well-established documentation and versioning control strategy. By gathering information from different actors such as academics, researchers, industry experts, policymakers, opinion leaders, and stakeholders, the models database is continuously being built, validated and maintained, aiming to guide long-term decisions for the energy transition and demonstrate the role of Process Integration (PI) in industry decarbonization.
These activities are developed within the Task XXIV of the Technology Collaboration Program of the International Energy Agency, whose objective is to share not only models but also experiences that inform decision-makers about the opportunities for industrial decarbonization using renewable electricity, CO2 capture and sequestration, and biomass conversion routes. The shared models also help highlighting synergies, such as utilizing waste heat and materials in other energy systems to reduce energy imports and minimize the environmental impact.
The confidentiality calls for data anonymization and improved methods that employ minimal sensitive information. Finally, continuous education programs are integral to the dissemination strategy, serving as a conduit for training skilled engineers that contribute to the ongoing evolution of the Task. It creates a feedback loop that enlarges and refines the project’s database and models. This iterative process ensures that the project remains relevant and up-to-date, continuously adapting to challenges and opportunities in the industrial decarbonization landscape.
