New concept of 3D bio-inspired solar thermal collector
| Autor: | Lucas Bernard, David Cloet, Mickael Pailha, Gilles Fraisse, Gérard Merlin |
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| Přispěvatelé: | Laboratoire Optimisation de la Conception et Ingénierie de l'Environnement (LOCIE), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2020 |
| Předmět: |
Pressure drop
Thermal efficiency Renewable Energy Sustainability and the Environment Computer science Turbulence 020209 energy Mechanical engineering Laminar flow 02 engineering and technology 021001 nanoscience & nanotechnology 7. Clean energy [SPI]Engineering Sciences [physics] Thermal Heat transfer 0202 electrical engineering electronic engineering information engineering Entropy (information theory) General Materials Science 0210 nano-technology Solar thermal collector |
| Zdroj: | Solar Energy Solar Energy, 2020, 195, pp.329-339. ⟨10.1016/j.solener.2019.11.055⟩ |
| ISSN: | 0038-092X |
| Popis: | The aim of the present work was to develop a new type of solar thermal collector tree shape in three dimensions. It is a Solar Thermal Tree (STT) whose branches and trunk consist of tubular absorbers glazed or not. The article presents the validation of the concept with a medium-scale prototype. The numerical modeling of the STT is first described, then the comparison of the experimental and numerical results, the evaluation of the performances based on dimensionless equations, and finally the multi-criteria optimization. The model has been used to identify the dimensionless equations (thermal efficiency and pressure drop) from a small number of parameters. These equations can be used to design the STT for different applications. It also enabled to define optimal solutions (Pareto) by considering the two performance functions in a configuration close to that of the prototype. Optimal solutions are compared with the experiment using the prototype, a solution that minimizes the creation of entropy generated by flow and heat transfer, and a solution based on the Hess-Murray law that minimizes flow resistance in laminar or turbulent flow. The optimization criterion based on entropy generation is the most relevant because the entropy generated by the air flow is very low compared to heat transfer. Also, optimization leads to maximizing thermal efficiency. Finally, the design of a 4 m2 STT that can be used to preheat the building's fresh air (0 °C) has been optimized. This new configuration, based on vacuum tubes has a thermal efficiency of 58%. |
| Databáze: | OpenAIRE |
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