Data-driven optimization of a biomass–geothermal system for power and green ammonia production

This study presents a hybrid biomass–geothermal energy system for simultaneous power generation and ammonia production. The system integrates biomass conversion via gasification or anaerobic digestion, a gas turbine cycle, a geothermal-assisted organic Rankine cycle (ORC), thermoelectric generation, water electrolysis for hydrogen production, and catalytic ammonia synthesis. An optimization framework combining surrogate-based modeling and a metaheuristic algorithm is developed to determine optimal operating conditions. The system’s performance is evaluated in terms of net power output, thermodynamic efficiency, product cost, and environmental impact under a gate-to-gate boundary. The developed framework enables the evaluation of multi-generation energy systems and supports decision-making for sustainable energy planning. The optimization results demonstrate that the proposed integrated system can achieve a maximum net power output of 16.34 MW, an exergy efficiency of 48.43%, a minimum product cost of 19.03 $/GJ, and a minimum emission index of 0.4005 kg/kWh under scenarios. Comparative analysis shows that the digester-based configuration outperforms the gasifier-based system due to higher methane content and improved combustion characteristics. Overall, the results indicate that the proposed hybrid system offers a promising pathway for sustainable power and green ammonia production with improved thermodynamic and environmental performance.

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Publication Details

Journal
Scientific Reports
Published
2026-09-28
DOI
https://doi.org/10.1038/s41598-026-70407-7
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.00

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article

Data-driven optimization of a biomass–geothermal system for power and green ammonia production

Saman Ahmad Aminian, Karim Kriaa, Yassine Bouazzi, Khalil Hajlaoui et al.
Scientific Reports
Ammonia Synthesis and Nitrogen Reduction
article

Data-driven optimization of a biomass–geothermal system for power and green ammonia production

Saman Ahmad Aminian, Karim Kriaa, Yassine Bouazzi, Khalil Hajlaoui, Husam Rajab, Ali I. Hameed, Mohamed Shaban, Narinderjit Singh Sawaran Singh
article en

Abstract

This study presents a hybrid biomass–geothermal energy system for simultaneous power generation and ammonia production. The system integrates biomass conversion via gasification or anaerobic digestion, a gas turbine cycle, a geothermal-assisted organic Rankine cycle (ORC), thermoelectric generation, water electrolysis for hydrogen production, and catalytic ammonia synthesis. An optimization framework combining surrogate-based modeling and a metaheuristic algorithm is developed to determine optimal operating conditions. The system’s performance is evaluated in terms of net power output, thermodynamic efficiency, product cost, and environmental impact under a gate-to-gate boundary. The developed framework enables the evaluation of multi-generation energy systems and supports decision-making for sustainable energy planning. The optimization results demonstrate that the proposed integrated system can achieve a maximum net power output of 16.34 MW, an exergy efficiency of 48.43%, a minimum product cost of 19.03 $/GJ, and a minimum emission index of 0.4005 kg/kWh under scenarios. Comparative analysis shows that the digester-based configuration outperforms the gasifier-based system due to higher methane content and improved combustion characteristics. Overall, the results indicate that the proposed hybrid system offers a promising pathway for sustainable power and green ammonia production with improved thermodynamic and environmental performance.

Scientific Reports
INTI International University (MY), Cihan University-Erbil (IQ), Imam Mohammad ibn Saud Islamic University (SA), University of Zakho (IQ), University of Ha'il (SA), Islamic University of Madinah (SA), Najran University (SA)
Al-Imam Muhammad Ibn Saud Islamic University
Openalex Percentile: Top 33%
Ammonia Synthesis and Nitrogen Reduction
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