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International Journal of Green Energy Volume 12, 2015 - Issue 11
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Original Articles

Development of an Artificial Neural Network Model for the Prediction of the Performance of a Silica-gel Desiccant Wheel

İrfan UçkanDepartment of Mechanical Engineering, Yuzuncu Yil University, Van, TurkeyCorrespondence[email protected]
,
Tuncay YılmazDepartment of Mechanical Engineering, Osmaniye Korkut Ata University, Osmaniye, Turkey
,
Ertaç HürdoğanDepartment of Energy Systems Engineering, Osmaniye Korkut Ata University, Osmaniye, Turkey
&
Orhan BüyükalacaDepartment of Energy Systems Engineering, Osmaniye Korkut Ata University, Osmaniye, Turkey
Pages 1159-1168 | Published online: 04 Jun 2015

Citations (17)

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M. Jradi & S. Riffat. (2016) Testing and performance analysis of a hollow fiber-based core for evaporative cooling and liquid desiccant dehumidification. International Journal of Green Energy 13:13, pages 1388-1399.
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Articles from other publishers (16)

Han Gao & Zhenhai Li. (2023) A Dehumidification Efficiency Prediction Model Based on Polynomial Regression for Desiccant Wheels. A Dehumidification Efficiency Prediction Model Based on Polynomial Regression for Desiccant Wheels.
Yunus Emre Güzelel, Umutcan Olmuş, Kamil Neyfel Çerçi & Orhan Büyükalaca. (2022) New multiple regression and machine learning models of rotary desiccant wheel for unbalanced flow conditions. International Communications in Heat and Mass Transfer 134, pages 106006.
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Umutcan Olmuş, Yunus Emre Güzelel, Engin Pınar, Arif Özbek & Orhan Büyükalaca. (2022) Performance assessment of a desiccant air-conditioning system combined with dew-point indirect evaporative cooler and PV/T. Solar Energy 231, pages 566-577.
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Yunus Emre Güzelel, Umutcan Olmuş, Kamil Neyfel Çerçi & Orhan Büyükalaca. (2021) Comprehensive modelling of rotary desiccant wheel with different multiple regression and machine learning methods for balanced flow. Applied Thermal Engineering 199, pages 117544.
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Han Gao, Zhenhai Li, Shunian Qiu, Bo Yang, Shan Li & Yang Wen. (2021) Energy exchange efficiency prediction from non-linear regression for membrane-based energy-recovery ventilator cores. Applied Thermal Engineering 197, pages 117353.
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Shahrooz Motaghian, Saeed Rayegan, Hadi Pasdarshahri, Pouria Ahmadi & Marc A. Rosen. (2021) Comprehensive performance assessment of a solid desiccant wheel using an artificial neural network approach. International Journal of Heat and Mass Transfer 165, pages 120657.
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Bahadır Birecikli, Ömer Ali Karaman, Selahattin Bariş Çelebi & Aydın Turgut. (2020) Failure load prediction of adhesively bonded GFRP composite joints using artificial neural networks. Journal of Mechanical Science and Technology 34:11, pages 4631-4640.
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Kamil Neyfel Çerçi & Ertaç Hürdoğan. (2020) Comparative study of multiple linear regression (MLR) and artificial neural network (ANN) techniques to model a solid desiccant wheel. International Communications in Heat and Mass Transfer 116, pages 104713.
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Yan Gao, Shuyue Dong, Chuang Wang, Yanhong Chen & Wenju Hu. (2020) Effect of thermal intensity and initial moisture content on heat and moisture transfer in unsaturated soil. Sustainable Cities and Society 55, pages 102069.
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Kamil Neyfel ÇERÇİ, Ertaç HÜRDOĞAN & Osman KARA. (2019) Katı Nem Alıcı Bir Rotorun Farklı Çalışma Şartları için ModellenmesiModeling of a Solid Desiccant Wheel for Different Operating Conditions. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 34:2, pages 267-278.
Crossref
F. Comino, D. Guijo-Rubio, M. Ruiz de Adana & C. Hervás-Martínez. (2019) Validation of multitask artificial neural networks to model desiccant wheels activated at low temperature. International Journal of Refrigeration 100, pages 434-442.
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D.B. Jani, Manish Mishra & P.K. Sahoo. (2018) Investigations on effect of operational conditions on performance of solid desiccant based hybrid cooling system in hot and humid climate. Thermal Science and Engineering Progress 7, pages 76-86.
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Alireza Zendehboudi, Giovanni Angrisani & Xianting Li. (2018) Parametric studies of silica gel and molecular sieve desiccant wheels: Experimental and modeling approaches. International Communications in Heat and Mass Transfer 91, pages 176-186.
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Alireza Zendehboudi, Xianting Li & Baolong Wang. (2017) Utilization of ANN and ANFIS models to predict variable speed scroll compressor with vapor injection. International Journal of Refrigeration 74, pages 475-487.
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Alireza Zendehboudi. (2016) Implementation of GA-LSSVM modelling approach for estimating the performance of solid desiccant wheels. Energy Conversion and Management 127, pages 245-255.
Crossref
Erdi Tosun & Ahmet Çalık. (2016) Failure load prediction of single lap adhesive joints using artificial neural networks. Alexandria Engineering Journal 55:2, pages 1341-1346.
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