Integrated Biomass–Geothermal System for Decarbonized Ammonia Production Enhanced by a Supercritical CO2 Cycle: A Data-Driven Approach

dc.authoridhttps://orcid.org/0000-0002-7368-658X
dc.authoridhttps://orcid.org/0000-0002-3467-8704
dc.authoridhttps://orcid.org/0000-0001-5438-0625
dc.authoridhttps://orcid.org/0000-0002-7347-0025
dc.authoridhttps://orcid.org/0000-0002-7222-3014
dc.contributor.authorSlimene, Marwa Ben
dc.contributor.authorBasem, Ali
dc.contributor.authorFarouk, Naeim
dc.contributor.authorHasan, Mohd Abul
dc.contributor.authorKhlifi, Mohamed Arbi
dc.contributor.authorIslam, Saiful
dc.contributor.authorAtamuratova, Zukhra
dc.contributor.authorMukhitdinov, Otabek
dc.contributor.authorKhudoynazarov, Egambergan
dc.contributor.authorMahariq, Ibrahim
dc.date.accessioned2026-09-21T12:36:36Z
dc.date.issued2027
dc.departmentMühendislik ve Mimarlık Fakültesi
dc.description.abstractAmmonia’s emergence as a carbon-free energy carrier calls for pathways that decarbonize both its synthesis and the electricity that powers it. This work proposes a hybrid biomass–geothermal platform for electricity and ammonia production. The configuration couples a gas turbine fueled by biomass-derived syngas with a supercritical CO2 Brayton cycle, a dual-flash geothermal configuration, and an ammonia synthesis loop. A comprehensive exergy accounting is performed alongside an environmental and techno-economic evaluation. Exergy destruction is dominated by the gas turbine and gasification train (70.6%, 4148.95 kW), followed by the geothermal subsystem (1188.14 kW) and the supercritical CO2 cycle (297.5 kW). A multidimensional parametric analysis is conducted to evaluate the sensitivity of system performance indicators to key decision variables. The split ratio of the supercritical CO2 cycle exhibits a non-monotonic influence on system behavior: both efficiency and net power generation increase until a split ratio of 0.74, beyond which thermodynamic mismatches reduce system performance. Under favorable geothermal temperature and pressure conditions, normalized CO2 emissions decrease to 28.47 kg/GJ. Conversely, increasing the gas turbine inlet temperature raises the levelized cost of electricity by up to 41%, while simultaneously reducing efficiency and increasing emissions. To efficiently explore the design space, artificial neural network surrogate models are integrated with a multi-objective particle swarm optimization algorithm. The optimal solution yields an exergy efficiency of 54.68%, an ammonia production rate of 592.9 kg/day, and a levelized cost of electricity of 6.47 cents/kWh. Scenario analysis indicates that the project net present value ranges from $2.29 million under conservative price assumptions to $6.53 million under favorable market conditions.
dc.identifier.doi10.1016/j.fuel.2026.140022
dc.identifier.issn0016-2361
dc.identifier.scopus2-s2.0-105042575165
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/11363/12645
dc.identifier.volume428
dc.indekslendigikaynakScopus
dc.institutionauthorMahariq, Ibrahim
dc.institutionauthoridhttps://orcid.org/0000-0002-7222-3014
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofFuel
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAmmonia production
dc.subjectBiomass gasification
dc.subjectSupercritical CO2 brayton cycle
dc.subjectDecarbonization pathways
dc.subjectTechno-economic assessment
dc.subjectParticle swarm optimization (PSO)
dc.titleIntegrated Biomass–Geothermal System for Decarbonized Ammonia Production Enhanced by a Supercritical CO2 Cycle: A Data-Driven Approach
dc.typeArticle

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