Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/jspui/handle/10553/157549
Campo DC Valoridioma
dc.contributor.authorGarcía Domínguez, Jesús-
dc.contributor.authorMarcos, J. Daniel-
dc.contributor.authorBlanco Marigorta, Ana María-
dc.contributor.authorGarcía Salaberri, Pablo A.-
dc.date.accessioned2026-02-09T16:53:37Z-
dc.date.available2026-02-09T16:53:37Z-
dc.date.issued2026-
dc.identifier.issn0196-8904-
dc.identifier.otherWoS-
dc.identifier.urihttps://accedacris.ulpgc.es/jspui/handle/10553/157549-
dc.description.abstractThis study presents the design, modelling, and optimisation of a novel zero-emissions polygeneration system fully powered by renewable energy sources. A new integration approach supported by an advanced optimisation framework is proposed to enhance the thermodynamic performance and overall efficiency. The system uniquely combines a hybrid Photovoltaic-Thermal (PVT) powered Organic Rankine Cycle (ORC) employing flexible Perovskite Solar Cell (PSC) technology, a double-effect compression-absorption refrigeration subsystem, and hydrogen production via a Proton Exchange Membrane (PEM) electrolyser. The cascading configuration maxi mises energy utilisation by recovering low-grade thermal energy, promoting synergistic operation, enabling simultaneous multi-carrier generation, and reducing exergy losses compared to standalone systems. Its appli cations are particularly relevant for both buildings and energy-intensive industrial processes, where integrated renewable solutions can provide high efficiency, flexibility, and emission-free operation. An advanced hybrid optimisation methodology coupling an Artificial Neural Network (ANN) with a multi-objective genetic algorithm is applied to identify optimal configurations through performance-cost trade-offs. For a three-objective function, the optimum design achieves an exergy efficiency of 19.1 %, net power output of 69.6 kW, and a cost rate of $ 14.2/h. Over a 20-year operation period, the system shows strong economic viability, yielding a payback period of 5.7 years, a Net Present Value (NPV) of $602,000, and an Internal Rate of Return (IRR) of 11.6 %.-
dc.languageeng-
dc.relation.ispartofEnergy Conversion and Management-
dc.sourceEnergy Conversion and Management [ISSN 0196-8904],v. 349, (Diciembre 2025)-
dc.subject3308 Ingeniería y tecnología del medio ambiente-
dc.subject.otherPolygeneration-
dc.subject.otherOrganic rankine cycle-
dc.subject.otherPhotovoltaic–thermal (PVT) concentrating collectors-
dc.subject.otherCascaded refrigeration system-
dc.subject.otherPEM electrolyser-
dc.titleDesign and optimisation of a novel solar-driven ORC-based polygeneration system with hybrid PVT, cascade refrigeration, and PEM electrolysis-
dc.typeinfo:eu-repo/semantics/article-
dc.typeArticle-
dc.identifier.doi10.1016/j.enconman.2025.120838-
dc.identifier.isi001641509500001-
dc.identifier.eissn1879-2227-
dc.relation.volume349-
dc.investigacionIngeniería y Arquitectura-
dc.type2Artículo-
dc.contributor.daisngidNo ID-
dc.contributor.daisngidNo ID-
dc.contributor.daisngidNo ID-
dc.contributor.daisngidNo ID-
dc.description.numberofpages26-
dc.utils.revision-
dc.contributor.wosstandardWOS:García-Domínguez, J-
dc.contributor.wosstandardWOS:Marcos, JD-
dc.contributor.wosstandardWOS:Blanco-Marigorta, AM-
dc.contributor.wosstandardWOS:García-Salaberri, PA-
dc.date.coverdateDiciembre 2025-
dc.identifier.ulpgc-
dc.contributor.buulpgcBU-ING-
dc.description.sjr2,659-
dc.description.jcr10,9-
dc.description.sjrqQ1-
dc.description.jcrqQ1-
dc.description.scieSCIE-
dc.description.miaricds11,0-
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR Group for the Research on Renewable Energy Systems-
crisitem.author.deptDepartamento de Ingeniería de Procesos-
crisitem.author.orcid0000-0003-4635-7235-
crisitem.author.parentorgDepartamento de Ingeniería Mecánica-
crisitem.author.fullNameBlanco Marigorta, Ana María-
Colección:Artículos
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