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https://accedacris.ulpgc.es/jspui/handle/10553/154141
| Campo DC | Valor | idioma |
|---|---|---|
| dc.contributor.author | Garcia-Dominguez, Jesus | en_US |
| dc.contributor.author | Marcos, J. Daniel | en_US |
| dc.contributor.author | Blanco - Marigorta, Ana María | en_US |
| dc.contributor.author | Garcia-Salaberri, Pablo A. | en_US |
| dc.date.accessioned | 2025-12-29T10:06:21Z | - |
| dc.date.available | 2025-12-29T10:06:21Z | - |
| dc.date.issued | 2025 | en_US |
| dc.identifier.issn | 0196-8904 | en_US |
| dc.identifier.other | WoS | - |
| dc.identifier.uri | https://accedacris.ulpgc.es/jspui/handle/10553/154141 | - |
| dc.description.abstract | This 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 maximises 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 applications 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 %. | en_US |
| dc.language | eng | en_US |
| dc.relation.ispartof | Energy Conversion and Management | en_US |
| dc.source | Energy Conversion and Management [ISSN 0196-8904],v. 349, (Diciembre 2025) | en_US |
| dc.subject | 331005 Ingeniería de procesos | en_US |
| dc.subject.other | Polygeneration | en_US |
| dc.subject.other | Organic Rankine Cycle | en_US |
| dc.subject.other | Photovoltaic-Thermal (Pvt) Concentrating | en_US |
| dc.subject.other | Collectors | en_US |
| dc.subject.other | Cascaded Refrigeration System | en_US |
| dc.subject.other | PEM Electrolyser | en_US |
| dc.title | Design and optimisation of a novel solar-driven ORC-based polygeneration system with hybrid PVT, cascade refrigeration, and PEM electrolysis | en_US |
| dc.type | info:eu-repo/semantics/Article | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | 10.1016/j.enconman.2025.120838 | en_US |
| dc.identifier.isi | 001641509500001 | - |
| dc.identifier.eissn | 1879-2227 | - |
| dc.relation.volume | 349 | en_US |
| dc.investigacion | Ingeniería y Arquitectura | en_US |
| dc.type2 | Artículo | en_US |
| dc.contributor.daisngid | No ID | - |
| dc.contributor.daisngid | No ID | - |
| dc.contributor.daisngid | No ID | - |
| dc.contributor.daisngid | No ID | - |
| dc.description.numberofpages | 26 | en_US |
| dc.utils.revision | Sí | en_US |
| dc.contributor.wosstandard | WOS:García-Domínguez, J | - |
| dc.contributor.wosstandard | WOS:Marcos, JD | - |
| dc.contributor.wosstandard | WOS:Blanco-Marigorta, AM | - |
| dc.contributor.wosstandard | WOS:García-Salaberri, PA | - |
| dc.date.coverdate | Diciembre 2025 | en_US |
| dc.identifier.ulpgc | Sí | en_US |
| dc.contributor.buulpgc | BU-ING | en_US |
| item.fulltext | Con texto completo | - |
| item.grantfulltext | open | - |
| Colección: | Artículos | |
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