کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
264402 504100 2011 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Performance evaluation of open-cycle solar regenerator using artificial neural network technique
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Performance evaluation of open-cycle solar regenerator using artificial neural network technique
چکیده انگلیسی

Theoretical investigation on the performance of lithium chloride (LiCl) absorption cooling system using an artificial neural network (ANN) model is presented. Tabulated data from the literature are used to construct the ANN model. Solar collector desiccant/regenerator is applied to re-concentrate the working solution. Using the proposed model, the effect of system design parameters; namely regenerator length, and air flow rate on the performance of the system is demonstrated. The variation of the thermo-physical parameters along the regenerator length is highlighted.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy and Buildings - Volume 43, Issues 2–3, February–March 2011, Pages 454–457
نویسندگان
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