A modelling tool selection for decarbonising industrial process heat systems

Abstract

Industrial Process Heat systems are critical to various industrial processes, representing a significant share of global energy use and emissions. Effective modelling of these systems is essential for evaluating long-term economic and environmental impacts of different technologies. This modelling approach must integrate internal process-specific parameters, such as heat demand dynamics and technological metrics, alongside broader factors like energy costs, emissions policies, and resource availability. This research introduces a comprehensive framework for selecting tools to model industrial process heat systems, focusing on technological, economic, and environmental performance. An initial evaluation of twenty-five tools led to the shortlisting of five based on criteria such as modelling accuracy, scalability, data handling, compatibility with industrial systems, and environmental impacts. Using software engineering principles, a systematic selection process was developed to categorise tools based on essential and desirable capabilities. This framework was validated through an example application, incorporating both technical and practical considerations. The findings highlight the importance of integrating dynamic simulation capabilities with real-time data analysis to improve evaluation accuracy and emphasise user-friendly interfaces to broader industry adoption. The study discusses the framework's applicability, provides key insights, and identifies existing gaps, emphasising the need for adaptable modelling tools to meet evolving industrial requirements. The future applicability of the selection process is discussed, highlighting findings from the capability categorisation, gaps to be addressed, and future trends in modelling these systems. This research contributes to sustainable industrial operations by offering a robust tool selection framework, supporting informed decision-making to reduce emissions and advance industrial sustainability.