Design and optimization of a geothermal-driven polygeneration system with cascade utilization for green hydrogen production

A polygeneration system is proposed to cascade geothermal heat and liquefied natural gas cold energy for power generation, refrigeration, desalination, and hot water production, while internal electricity drives green hydrogen production. An integrated thermodynamic and exergoeconomic model is developed to evaluate the performance, followed by parametric sensitivity analyses. A scenario-based multi-objective optimization is implemented using NSGA-II coupled with TOPSIS and LINMAP decision-making methods, aiming to simultaneously maximize efficiency, minimize cost, and enhance diverse product yields. Results show that under design-point conditions, the system achieves an exergy efficiency of 34.32% and a unit cost of 28.24 $/GJ. At the optimal configuration, hydrogen production rate is enhanced from 5.86 kg/h to 11.31 kg/h with a levelized cost of 3.29 $/kg, while increasing exergy efficiency by 6.70% and reducing unit cost by 8.96%. These findings confirm the high effectiveness of the optimization approach in upgrading green hydrogen production and overall performance.

Authors

Institutions

Publication Details

Journal
International Journal of Hydrogen Energy
Published
2026-09-24
DOI
https://doi.org/10.1016/j.ijhydene.2026.157787
Primary Topic
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Design and optimization of a geothermal-driven polygeneration system with cascade utilization for green hydrogen production

Kexin Wu, 卜敬浩, Hang Li, Jiangfeng Wang et al.
International Journal of Hydrogen Energy
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
article

Design and optimization of a geothermal-driven polygeneration system with cascade utilization for green hydrogen production

Kexin Wu, 卜敬浩, Hang Li, Jiangfeng Wang, Ling Xia, Liuhui Ku, Zamoniddin Nasriddinov
article en

Abstract

A polygeneration system is proposed to cascade geothermal heat and liquefied natural gas cold energy for power generation, refrigeration, desalination, and hot water production, while internal electricity drives green hydrogen production. An integrated thermodynamic and exergoeconomic model is developed to evaluate the performance, followed by parametric sensitivity analyses. A scenario-based multi-objective optimization is implemented using NSGA-II coupled with TOPSIS and LINMAP decision-making methods, aiming to simultaneously maximize efficiency, minimize cost, and enhance diverse product yields. Results show that under design-point conditions, the system achieves an exergy efficiency of 34.32% and a unit cost of 28.24 $/GJ. At the optimal configuration, hydrogen production rate is enhanced from 5.86 kg/h to 11.31 kg/h with a levelized cost of 3.29 $/kg, while increasing exergy efficiency by 6.70% and reducing unit cost by 8.96%. These findings confirm the high effectiveness of the optimization approach in upgrading green hydrogen production and overall performance.

International Journal of Hydrogen EnergyVol. 278
Zhejiang Sci-Tech University (CN), Wuhan University of Technology (CN), Zhengzhou University (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 21%
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
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.

Design and optimization of a geothermal-driven polygeneration system with cascade utilization for green hydrogen production — Kexin Wu, 卜敬浩, et al. · International Journal of Hydrogen Energy (2026) | TGRS Research Map | TGRS