A robust framework for estimating theoretical minimum energy requirements for industrial processes

The industrial sector consumes 38 % of all energy produced and is responsible for 47 % of global CO 2 emissions, hence decarbonisation of industry is a priority for net-zero aspirations. Improving the energy efficiency of processes is key to the energy transition, and this requires benchmarking between current practices and possible alternative solutions. In the literature, benchmarking is subject to different methodologies, so direct comparisons between technologies are difficult. This study introduces a standardised framework based on thermodynamic first principles for calculating minimum energy requirements, both theoretical and practical, for any process across any industry. The framework is used to understand the impact of process temperature and feedstock type on energy requirements with a deep dive into ironmaking and ethylene production. By benchmarking current and best practices against theoretical and practical energy minimums, the study underscores the significant potential for energy savings and hence CO 2 emissions reduction in industrial processes. The complex task of setting realistic decarbonisation targets, given real-world constraints, needs a rigorous scientific approach, and this study calls for the use of this standardised method to accelerate the adoption of efficient practices and guide effective industrial decarbonisation strategies. • Thermodynamic framework for consistent theoretical and practical minimum energy requirement calculations across industries. • Energy minimums in the literature vary due to methodological choices. • Process temperature and feedstock type are the key contributors to variation in energy requirements. • Clear energy benchmarks can support alternative technologies over incremental improvements of processes.

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Publication Details

Journal
Energy
Published
2025-03-12
DOI
https://doi.org/10.1016/j.energy.2025.135411
Citations
2
Primary Topic
Process Optimization and Integration
Type
article
Field-Weighted Citation Impact
2.43
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article

A robust framework for estimating theoretical minimum energy requirements for industrial processes

Luke Cullen, Natanael Bolson, Jonathan M. Cullen
2 citations
Energy
Process Optimization and Integration
2.43
article

A robust framework for estimating theoretical minimum energy requirements for industrial processes

Luke Cullen, Natanael Bolson, Jonathan M. Cullen
article en
2 citations

Abstract

The industrial sector consumes 38 % of all energy produced and is responsible for 47 % of global CO 2 emissions, hence decarbonisation of industry is a priority for net-zero aspirations. Improving the energy efficiency of processes is key to the energy transition, and this requires benchmarking between current practices and possible alternative solutions. In the literature, benchmarking is subject to different methodologies, so direct comparisons between technologies are difficult. This study introduces a standardised framework based on thermodynamic first principles for calculating minimum energy requirements, both theoretical and practical, for any process across any industry. The framework is used to understand the impact of process temperature and feedstock type on energy requirements with a deep dive into ironmaking and ethylene production. By benchmarking current and best practices against theoretical and practical energy minimums, the study underscores the significant potential for energy savings and hence CO 2 emissions reduction in industrial processes. The complex task of setting realistic decarbonisation targets, given real-world constraints, needs a rigorous scientific approach, and this study calls for the use of this standardised method to accelerate the adoption of efficient practices and guide effective industrial decarbonisation strategies. • Thermodynamic framework for consistent theoretical and practical minimum energy requirement calculations across industries. • Energy minimums in the literature vary due to methodological choices. • Process temperature and feedstock type are the key contributors to variation in energy requirements. • Clear energy benchmarks can support alternative technologies over incremental improvements of processes.

EnergyVol. 322
University of Cambridge (GB), Bridge University (SS)
Affordable and clean energy
Openalex Percentile: Top 13%
Process Optimization and Integration
2.43
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