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March 3, 2026Energy Conversion and Management X5 citationsOpen Access

Solar- and biomass-assisted hybrid solid oxide fuel cell, thermophotovoltaic, and photovoltaic system for sustainable ammonia and synthetic natural gas production: multi-objective LCA-TEA optimization

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SRShayan RabetSLShayan Sharafi LalehHMHaniyeh Sadat Rezaei Mousavi

Key Points

  • The system achieves 32.74% exergy efficiency, producing ammonia and methane efficiently while using solar and biomass energy.
  • At baseline conditions, it outputs 0.0692 kg/s ammonia and 0.0264 kg/s methane, showcasing its multi-product generation capability.
  • Life cycle assessment confirms environmental sustainability, while techno-economic optimization lowers costs to 36.06 $/GJ and emissions.
  • Gray Wolf optimization enhances overall efficiency and economic performance, positioning the system favorably against existing energy approaches.

Abstract

• Hybrid solar- and biomass-assisted system produces electricity, ammonia, SNG, CO 2. • SOFC with TPV recovery achieves 32. 74 % exergy efficiency. • Outputs: 0. 0692 kg/s ammonia, 0. 0264 kg/s methane, 0. 67 kg/s CO 2. • Levelized energy cost 37. 04 /GJ; payback period 4. 65 years. • LCA confirms sustainability; optimized via Gray Wolf algorithm. This study proposes a novel solar- and biomass-assisted hybrid energy system integrating a solid oxide fuel cell (SOFC), thermophotovoltaic (TPV) unit, PV-powered alkaline electrolyzer, and downstream methanation and ammonia synthesis units. The system is designed for multi-product generation, producing electricity, synthetic natural gas (SNG), ammonia, and liquefied CO 2, while efficiently managing carbon using LNG cold energy. Key innovations include TPV-based recovery of high-temperature SOFC radiation for electricity, integration of PV-powered hydrogen production, and combined methanation and ammonia synthesis to enhance product diversity and efficiency. System performance is comprehensively evaluated using energy and exergy analysis, techno-economic assessment, life cycle assessment (LCA), and multi-objective optimization with the Gray Wolf Optimization (GWO) algorithm. At baseline conditions, the system achieves 32. 74 % exergy efficiency, 2776 kW net power output, and production rates of 0. 67 kg/s CO 2, 0. 0264 kg/s methane, and 0. 0692 kg/s ammonia, while the unit energy cost is 37. 04 /GJ. LCA confirms the environmental sustainability of the system, and optimization further improves efficiency (up to 33. 23 %) and reduces costs (down to 36. 06 /GJ) and emission index (down to 0. 0902 kg/kWh). The proposed system demonstrates strong potential for sustainable green fuel production, efficient carbon capture, and enhanced economic performance compared to existing hybrid energy approaches.

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Cite This Study

Rabet et al. (2026) studied this question.

synapsesocial.com/papers/69a75f65c6e9836116a2abcfhttps://doi.org/10.1016/j.ecmx.2025.101268
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