3E multi-objective optimization of Organic Rankine Cycle configurations for a geothermal off-grid system: Power, DHW, and hydrogen production
This study investigates the optimization of an off-grid system for supplying electrical load and domestic hot water (DHW) to a building using geothermal energy. The system generates power through an Organic Rankine Cycle (ORC), with excess energy directed to an electrolyzer for hydrogen production....
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Elsevier
2025-04-01
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| Series: | Energy Conversion and Management: X |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590174525001357 |
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| author | A. Mokhtari M. Jalalvand |
| author_facet | A. Mokhtari M. Jalalvand |
| author_sort | A. Mokhtari |
| collection | DOAJ |
| description | This study investigates the optimization of an off-grid system for supplying electrical load and domestic hot water (DHW) to a building using geothermal energy. The system generates power through an Organic Rankine Cycle (ORC), with excess energy directed to an electrolyzer for hydrogen production. A residential complex in Tabriz, Iran, with 408 occupants, was selected as the case study, leveraging the availability of geothermal power. Three ORC configurations—basic ORC, ORC with reheater (RHORC), and regenerative ORC (RORC) were optimized in terms of energy, exergy, and economy. The optimization process utilized the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), aiming to maximize energy and exergy efficiency, hydrogen production, and minimize levelized costs of electricity (LCOE) and hydrogen (LCOH), while ensuring that electrical and DHW demands are met. The results demonstrate that the RORC configuration outperforms the other two cycles in all aspects: it produces 44.45 % more power than RHORC and 47.86 % more than ORC, with energy and exergy efficiencies of 49.03 % and 47.01 %, respectively. Furthermore, RORC generates significantly more hydrogen 63.81 % more than RHORC and 69.37 % more than ORC. Additionally, RORC has the lowest LCOE (4.52 cent. kWh−1) and LCOH (2.69 cent. kWh−1). |
| format | Article |
| id | doaj-art-8bcd0ca0a67445aabe50af0042bebe10 |
| institution | OA Journals |
| issn | 2590-1745 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Conversion and Management: X |
| spelling | doaj-art-8bcd0ca0a67445aabe50af0042bebe102025-08-20T02:31:56ZengElsevierEnergy Conversion and Management: X2590-17452025-04-012610100310.1016/j.ecmx.2025.1010033E multi-objective optimization of Organic Rankine Cycle configurations for a geothermal off-grid system: Power, DHW, and hydrogen productionA. Mokhtari0M. Jalalvand1Department of Flight and Engineering, Amirkabir University of Technology, Tehran, Iran; Corresponding author.Department of Flight and Engineering, Imam Ali University, Tehran, IranThis study investigates the optimization of an off-grid system for supplying electrical load and domestic hot water (DHW) to a building using geothermal energy. The system generates power through an Organic Rankine Cycle (ORC), with excess energy directed to an electrolyzer for hydrogen production. A residential complex in Tabriz, Iran, with 408 occupants, was selected as the case study, leveraging the availability of geothermal power. Three ORC configurations—basic ORC, ORC with reheater (RHORC), and regenerative ORC (RORC) were optimized in terms of energy, exergy, and economy. The optimization process utilized the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), aiming to maximize energy and exergy efficiency, hydrogen production, and minimize levelized costs of electricity (LCOE) and hydrogen (LCOH), while ensuring that electrical and DHW demands are met. The results demonstrate that the RORC configuration outperforms the other two cycles in all aspects: it produces 44.45 % more power than RHORC and 47.86 % more than ORC, with energy and exergy efficiencies of 49.03 % and 47.01 %, respectively. Furthermore, RORC generates significantly more hydrogen 63.81 % more than RHORC and 69.37 % more than ORC. Additionally, RORC has the lowest LCOE (4.52 cent. kWh−1) and LCOH (2.69 cent. kWh−1).http://www.sciencedirect.com/science/article/pii/S2590174525001357Geothermal energyOrganic Rankine CycleMulti objective optimizationHydrogen production3E analysis |
| spellingShingle | A. Mokhtari M. Jalalvand 3E multi-objective optimization of Organic Rankine Cycle configurations for a geothermal off-grid system: Power, DHW, and hydrogen production Energy Conversion and Management: X Geothermal energy Organic Rankine Cycle Multi objective optimization Hydrogen production 3E analysis |
| title | 3E multi-objective optimization of Organic Rankine Cycle configurations for a geothermal off-grid system: Power, DHW, and hydrogen production |
| title_full | 3E multi-objective optimization of Organic Rankine Cycle configurations for a geothermal off-grid system: Power, DHW, and hydrogen production |
| title_fullStr | 3E multi-objective optimization of Organic Rankine Cycle configurations for a geothermal off-grid system: Power, DHW, and hydrogen production |
| title_full_unstemmed | 3E multi-objective optimization of Organic Rankine Cycle configurations for a geothermal off-grid system: Power, DHW, and hydrogen production |
| title_short | 3E multi-objective optimization of Organic Rankine Cycle configurations for a geothermal off-grid system: Power, DHW, and hydrogen production |
| title_sort | 3e multi objective optimization of organic rankine cycle configurations for a geothermal off grid system power dhw and hydrogen production |
| topic | Geothermal energy Organic Rankine Cycle Multi objective optimization Hydrogen production 3E analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2590174525001357 |
| work_keys_str_mv | AT amokhtari 3emultiobjectiveoptimizationoforganicrankinecycleconfigurationsforageothermaloffgridsystempowerdhwandhydrogenproduction AT mjalalvand 3emultiobjectiveoptimizationoforganicrankinecycleconfigurationsforageothermaloffgridsystempowerdhwandhydrogenproduction |