Combining exergy-pinch and techno-economic analyses for identifying feasible decarbonization opportunities in carbon-intensive process industry: Case study of a propylene production technology

• New exergy-based framework methodology for cost-optimal industrial decarbonization. • Method identifies promising modifications for unabated and retrofitted processes. • Case study: Annual emissions of 189 ktCO 2 in highly diluted flue gas (<3 vol% CO 2 ). • Novel decarbonized propane dehydrogenation (PDH) plant configuration is identified. • Results: 67% lower CO 2 avoidance cost than CO 2 capture from unmodified PDH process. Decarbonizing carbon-intensive industries requires increased co-location and integration of decarbonization technologies at existing sites to meet net-zero CO 2 emissions targets. Pinch-based energy targeting methods are commonly applied to evaluate the energy performance of competing decarbonization options. However, these methods are restricted to process modifications in heat-transfer processes and are also inadequate for investigating process electrification as a decarbonization measure. This work presents an alternative exergy-based approach within a framework that aims to maximize exergy utilization and CO 2 emissions avoidance within industrial processes retrofitted with decarbonization technologies. The framework combines an iterative exergy-pinch analysis with techno-economic analysis to identify promising process modifications. The framework is demonstrated through a propane dehydrogenation (PDH) plant case study, which presents significant challenges for end-of-pipe CO 2 capture due to the highly diluted flue gases (2.5 vol% CO 2 ). The results illustrate how the identified process modifications lead to a substantial reduction in the CO 2 avoidance costs (55–71 €/tCO 2 ), approximately 54–67% lower than those for CO 2 capture from an unmodified PDH process (155–167 €/tCO 2 ). This reduction is achieved by integrating an industrial gas turbine into the PDH process, utilizing its exhaust gases as regeneration air to pre-concentrate the CO 2 in the flue gases up to 5.5 vol% before entering the CO 2 capture plant. The proposed configuration reduces the specific energy requirement for CO 2 capture by 11%, improves exergy efficiency by 15%, and achieves a substantially higher CO 2 avoidance (56%), due to the low-carbon electricity generated, compared to CO 2 capture from an unmodified PDH process.

Authors

Institutions

Publication Details

Journal
Energy Conversion and Management X
Published
2024-12-25
DOI
https://doi.org/10.1016/j.ecmx.2024.100853
Citations
3
Primary Topic
Process Optimization and Integration
Type
article
Field-Weighted Citation Impact
0.98
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Combining exergy-pinch and techno-economic analyses for identifying feasible decarbonization opportunities in carbon-intensive process industry: Case study of a propylene production technology

Henrik Thunman, Johanna Beiron, Tharun Roshan Kumar, Lars J. Pettersson et al.
3 citations
Energy Conversion and Management X
Process Optimization and Integration
0.98
article

Combining exergy-pinch and techno-economic analyses for identifying feasible decarbonization opportunities in carbon-intensive process industry: Case study of a propylene production technology

Henrik Thunman, Johanna Beiron, Tharun Roshan Kumar, Lars J. Pettersson, Simon Harvey, V.R. Reddy Marthala
article en
3 citations

Abstract

• New exergy-based framework methodology for cost-optimal industrial decarbonization. • Method identifies promising modifications for unabated and retrofitted processes. • Case study: Annual emissions of 189 ktCO 2 in highly diluted flue gas (<3 vol% CO 2 ). • Novel decarbonized propane dehydrogenation (PDH) plant configuration is identified. • Results: 67% lower CO 2 avoidance cost than CO 2 capture from unmodified PDH process. Decarbonizing carbon-intensive industries requires increased co-location and integration of decarbonization technologies at existing sites to meet net-zero CO 2 emissions targets. Pinch-based energy targeting methods are commonly applied to evaluate the energy performance of competing decarbonization options. However, these methods are restricted to process modifications in heat-transfer processes and are also inadequate for investigating process electrification as a decarbonization measure. This work presents an alternative exergy-based approach within a framework that aims to maximize exergy utilization and CO 2 emissions avoidance within industrial processes retrofitted with decarbonization technologies. The framework combines an iterative exergy-pinch analysis with techno-economic analysis to identify promising process modifications. The framework is demonstrated through a propane dehydrogenation (PDH) plant case study, which presents significant challenges for end-of-pipe CO 2 capture due to the highly diluted flue gases (2.5 vol% CO 2 ). The results illustrate how the identified process modifications lead to a substantial reduction in the CO 2 avoidance costs (55–71 €/tCO 2 ), approximately 54–67% lower than those for CO 2 capture from an unmodified PDH process (155–167 €/tCO 2 ). This reduction is achieved by integrating an industrial gas turbine into the PDH process, utilizing its exhaust gases as regeneration air to pre-concentrate the CO 2 in the flue gases up to 5.5 vol% before entering the CO 2 capture plant. The proposed configuration reduces the specific energy requirement for CO 2 capture by 11%, improves exergy efficiency by 15%, and achieves a substantially higher CO 2 avoidance (56%), due to the low-carbon electricity generated, compared to CO 2 capture from an unmodified PDH process.

Energy Conversion and Management XVol. 25
Boréa (Sweden) (SE), Borealis (Austria) (AT), Chalmers University of Technology (SE)
Industry, innovation and infrastructure
Openalex Percentile: Top 22%
Process Optimization and Integration
0.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.