Thermodynamic Modeling and Exergy-Based Optimization of Natural Gas Pressure Energy Recovery Systems

Abstract Traditional natural gas (NG) pressure reduction relies on throttling, causing significant exergy destruction and energy-intensive heating to counteract the Joule-Thomson effect. To address these issues, an integrated pressure energy recovery system coupling a turboexpander with an air-source heat pump (ASHP) was proposed. Two configurations, pre-heating and post-heating, were simulated and optimized using rigorous exergy analysis. Results identify a “thermodynamic sweet spot” for both architectures. The pre-heating configuration achieves a peak system exergy efficiency of 74.81% (3557.94 kW) at an optimized compressor discharge pressure of 1.8 MPa, driven by minimized energy-grade mismatch between the R134a refrigerant and the NG stream. Conversely, the post-heating scheme delivers a superior net power output of 3829.21 kW with an exergy efficiency of 60.44%, benefiting from reduced ASHP parasitic work at lower temperature lifts. Critically, both systems honor a strict safety constraint, maintaining NG exhaust above 8°C to prevent hydrate formation. Sensitivity analysis across seasonal variations (263.15 K–298.15 K) demonstrates the system's robust operability, where R134a phase-change characteristics ensure stable performance even in cold climates. This research provides a theoretical framework for designing high-performance, carbon-free energy recovery units for global NG distribution networks.

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Publication Details

Journal
Journal of Thermal Science and Engineering Applications
Published
2026-04-16
DOI
https://doi.org/10.1115/1.4071680
Primary Topic
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Thermodynamic Modeling and Exergy-Based Optimization of Natural Gas Pressure Energy Recovery Systems

Zihan Yang, J J Liu, Shuxia Yuan, Jingming Li et al.
Journal of Thermal Science and Engineering Applications
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
article

Thermodynamic Modeling and Exergy-Based Optimization of Natural Gas Pressure Energy Recovery Systems

Zihan Yang, J J Liu, Shuxia Yuan, Jingming Li, Xiangpu Zhao, Song Wu
article en

Abstract

Abstract Traditional natural gas (NG) pressure reduction relies on throttling, causing significant exergy destruction and energy-intensive heating to counteract the Joule-Thomson effect. To address these issues, an integrated pressure energy recovery system coupling a turboexpander with an air-source heat pump (ASHP) was proposed. Two configurations, pre-heating and post-heating, were simulated and optimized using rigorous exergy analysis. Results identify a “thermodynamic sweet spot” for both architectures. The pre-heating configuration achieves a peak system exergy efficiency of 74.81% (3557.94 kW) at an optimized compressor discharge pressure of 1.8 MPa, driven by minimized energy-grade mismatch between the R134a refrigerant and the NG stream. Conversely, the post-heating scheme delivers a superior net power output of 3829.21 kW with an exergy efficiency of 60.44%, benefiting from reduced ASHP parasitic work at lower temperature lifts. Critically, both systems honor a strict safety constraint, maintaining NG exhaust above 8°C to prevent hydrate formation. Sensitivity analysis across seasonal variations (263.15 K–298.15 K) demonstrates the system's robust operability, where R134a phase-change characteristics ensure stable performance even in cold climates. This research provides a theoretical framework for designing high-performance, carbon-free energy recovery units for global NG distribution networks.

Journal of Thermal Science and Engineering Applications
China XD Group (China) (CN), Hangzhou Dianzi University (CN)
Natural Science Foundation of Shaanxi Province
Affordable and clean energy
Openalex Percentile: Top 9%
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
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Thermodynamic Modeling and Exergy-Based Optimization of Natural Gas Pressure Energy Recovery Systems — Zihan Yang, J J Liu, et al. · Journal of Thermal Science and Engineering Applications (2026) | TGRS Research Map | TGRS