Artificial Neural Network modelling of sorption chillers
- Autor
- FREY, Patrick1 ; FISCHER, Stephan1 ; DRÜCK, Harald1
[1] Institute for Thermodynamics and Thermal Engineering (ITW), Research and Testing Centre for Thermal Solar Systems (TZS), University Stuttgart, Pfaffenwaldring 6, 70550 Stuttgart, Germany - Fuente
Solar energy. 2014, Vol 108, pp 525-537, 13 p ; ref : 3/4 p
- CODEN
- SRENA4
- ISSN
- 0038-092X
- Campo Científico
- Biotechnology; Energy
- Editor
- Elsevier, Kidlington
- País de la publicación
- United Kingdom
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave de autor
- Artificial Neural Network CTSS method EN 12977 Performance testing Solar thermal cooling Sorption chiller
- Palabra clave (fr)
- Chauffage eau chaude Climatisation Condition opératoire Demande énergie Distillateur solaire Energie primaire Evaluation performance Groupe eau glacée Modèle thermodynamique Modélisation Méthode essai Norme Production eau chaude Pénétration marché Réseau neuronal Serre Simulation système Sorption Système refroidissement solaire Système refroidissement Système solaire
- Palabra clave (in)
- Hot water heating Room conditioning Operating conditions Energy demand Solar still Primary energy Performance evaluation Chiller Thermodynamic model Modeling Test method Standards Hot water production Market penetration Neural network Greenhouse System simulation Sorption Solar cooling systems Cooling system Solar system
- Palabra clave (es)
- Calefacción agua caliente Aire acondicionado Condición operatoria Demanda energía Destilador solar Energía primaria Evaluación prestación Grupo agua helada Modelo termodinámico Modelización Método ensayo Norma Producción agua caliente Penetración mercado Red neuronal Invernadero Simulación sistema Sorción Sistema enfriamiento Sistema solar
- Clasificación
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06C Natural energy / 001D06C02 Solar energy / 001D06C02C Solar thermal conversion / 001D06C02C2 Equipments, installations and applications
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06C Natural energy / 001D06C02 Solar energy / 001D06C02F Miscellaneous
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06D Energy. Thermal use of fuels / 001D06D08 Heating, air conditioning and ventilation / 001D06D08C Space heating. Hot water / 001D06D08C2 Material and general technologies
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06D Energy. Thermal use of fuels / 001D06D09 Refrigerating engineering. Cryogenics. Food conservation / 001D06D09A Refrigerating engineering / 001D06D09A2 Techniques. Materials
- Disciplina
- Energy
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 28796208
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.solener.2014.08.006 
https://dx.doi.org/10.1016/j.solener.2014.08.006
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