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Hybrid solar-gas-electric dryer optimization with genetic algorithms

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Hybrid solar-gas-electric dryer optimization with genetic algorithms

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El Ferouali, H.; Gharafi, M.; Zoukit, A.; Doubabi, S.; Abdenouri, N. (2018). Hybrid solar-gas-electric dryer optimization with genetic algorithms. En IDS 2018. 21st International Drying Symposium Proceedings. Editorial Universitat Politècnica de València. 363-370. https://doi.org/10.4995/IDS2018.2018.7521

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/116660

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Title: Hybrid solar-gas-electric dryer optimization with genetic algorithms
Author:
Issued date:
Abstract:
[EN] To promote the hybrid solar dryers for use even under unfavorable weather and to overcome the intermittance state issue, the energy consumption should be optimized and the response time should be reduced. This work ...[+]
Subjects: Drying , Dehydration , Dewatering , Emerging technologies , Products quality , Process control , Environmental , Evaporation , Sublimation , Diffusion , Energy , Intensification , Hybrid solar dryer , Artificial neural network , Temperature regulation , Energy consumption , Genetic algorithm
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
ISBN: 9788490486887
Source:
IDS 2018. 21st International Drying Symposium Proceedings.
DOI: 10.4995/IDS2018.2018.7521
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/IDS/ids2018/paper/view/7521
Conference name: 21st International Drying Symposium
Conference place: Valencia, Spain
Conference date: Septiembre 11-14, 2018
Thanks:
This work was supported by the research institute IRESEN and all of the authors are grateful to the IRESEN for its cooperation
Type: Capítulo de libro Comunicación en congreso

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