Optimal operating condition for a type parabolic trough collector with low-cost components using inverse neural network and solved by genetic algorithm

2017 ◽  
Vol 73 ◽  
pp. 80-89 ◽  
Author(s):  
E.D. Reyes-Téllez ◽  
R.A. Conde-Gutiérrez ◽  
J.A. Hernández ◽  
E. Cardoso ◽  
S. Silva-Martínez ◽  
...  
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Low Cost ◽  
Parabolic Trough ◽  
Optimal Operating ◽  
Parabolic Trough Collector ◽  
Operating Condition ◽  
Optimal Operating Condition ◽  
Cost Components

Entropy Generation Minimization in a Parabolic Trough Collector Operating With SiO2–Water Nanofluids Using the Genetic Algorithm and Artificial Neural Network

2019 ◽  
Vol 12 (3) ◽  
Author(s):  
Eric C. Okonkwo ◽  
Humphrey Adun ◽  
Akinola A. Babatunde ◽  
Muhammad Abid ◽  
Tahir A.H. Ratlamwala
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Entropy Generation ◽  
Generation Rate ◽  
Entropy Generation Rate ◽  
Parabolic Trough ◽  
Parabolic Trough Collector ◽  
Entropy Generation Minimization ◽  
Artificial Neural

Abstract The paper presents an entropy generation minimization study for a solar parabolic trough collector (PTC) operating with SiO2–water nanofluid using a genetic algorithm (GA) and artificial neural network (ANN). The characteristic variables of nanoparticle volumetric concentration (0.01 ≤ φ ≤ 0.05), mass flow rate (0.1 ≤ ṁ ≤ 1.1 kg/s), and inlet temperatures (350–550 K) are used to analyze the rate of entropy generated in the PTC. GA is used in optimizing the entropy generation rate for the specified parameters, while ANN is used for predicting and observing the behavior of these parameters on the rate of entropy generation in the collector. The optimum ANN model is derived with one hidden layer of 18 neurons when training the input variables for the entropy generation predictions. The optimal mean square error used as a performance validation of the model is 0.02288 for training and 0.0282 for testing with an R2 value of 0.9999. The impact of the defined parameters on the entropy generation rate is presented in Sec. 5. It is concluded that machine learning techniques can be an efficient tool for predicting the rate of entropy generation in a collector within the constraint of the defined parameters.

A Study on the Optimal Operating Condition of a Dual Fluidized-Bed (DFB) with Biomass and SRF

2016 ◽  
Vol 12 (4) ◽  
pp. 77
Author(s):  
Hyungchul Yoon ◽  
Sungho Cho ◽  
Dockjin Lee ◽  
Goyoung Moon ◽  
Soonhaing Cho
Keyword(s):  
Fluidized Bed ◽  
Optimal Operating ◽  
Operating Condition ◽  
Optimal Operating Condition ◽  
Dual Fluidized Bed

Effects of influent COD/N ratio and internal recycle ratio on nitrogen removal efficiency in the KNR process

2006 ◽  
Vol 53 (9) ◽  
pp. 265-270 ◽  
Author(s):  
C.W. Suh ◽  
S.H. Lee ◽  
H.S. Jeong ◽  
J.C. Kwon ◽  
H.S. Shin
Keyword(s):  
Carbon Source ◽  
Removal Efficiency ◽  
Nitrogen Removal ◽  
Denitrification Rate ◽  
Optimal Operating ◽  
Operating Condition ◽  
Optimal Operating Condition ◽  
External Carbon Source ◽  
Recycle Ratio ◽  
Removal Efficiencies

In this study, with the KNR® process that has many advantages, the nitrogen removal efficiency of KNR was experimentally investigated at various COD/N ratios of influent conditions. The optimal operating condition of internal recycle ratio was evaluated. The TN removal efficiencies were 59.1, 72.5 and 75.9% at the COD/N ratios of 3, 5 and 7, respectively. These high removal efficiencies resulted from high denitrification rate in UMBR with high microorganism concentration. Furthermore, specific endogenous denitrification at MLVSS of 10.3 g/L that is similar to MLVSS in UMBR was over two times higher than that at MLVSS of 2.06 g/L. This result suggests that endogenous denitrification rate in UMBR is so high that the requirement of an external carbon source can be saved. As the internal recycle ratio increased from 100 to 400%, the TN removal efficiency also improved from 69.5 to 82.9%, and the optimal internal recycle ratio was 300%.

scholarly journals Low-cost small scale parabolic trough collector design for manufacturing and deployment in Africa

2016 ◽  
Author(s):  
Matthew Orosz ◽  
Paul Mathaha ◽  
Anadola Tsiu ◽  
B. M. Taele ◽  
Lengeta Mabea ◽  
...  
Keyword(s):  
Low Cost ◽  
Design For Manufacturing ◽  
Small Scale ◽  
Parabolic Trough ◽  
Parabolic Trough Collector
Sign in / Sign up

Export Citation Format

Share Document