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

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.

Download Full-text

Computing optimal operating condition profiles for fed-batch fermentation of fuel-grade ethanol

2013 European Control Conference (ECC) ◽

10.23919/ecc.2013.6669135 ◽

2013 ◽

Author(s):

Wei Dai ◽

Juergen Hahn

Keyword(s):

Batch Fermentation ◽

Fed Batch ◽

Optimal Operating ◽

Operating Condition ◽

Optimal Operating Condition ◽

Fed Batch Fermentation ◽

Fuel Grade Ethanol

Download Full-text

Design and construction of an experimental parabolic trough collector using low cost alternative materials

10.1063/5.0029496 ◽

2020 ◽

Author(s):

Hugo M. Torres ◽

Rubén A. M. Carrillo ◽

Nelson M. Torres

Keyword(s):

Low Cost ◽

Parabolic Trough ◽

Parabolic Trough Collector ◽

Alternative Materials ◽

Design And Construction

Download Full-text

The multivariable inverse artificial neural network combined with GA and PSO to improve the performance of solar parabolic trough collector

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2021.116651 ◽

2021 ◽

Vol 189 ◽

pp. 116651

Author(s):

Wassila Ajbar ◽

A. Parrales ◽

U. Cruz-Jacobo ◽

R.A. Conde-Gutiérrez ◽

A. Bassam ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Parabolic Trough ◽

Parabolic Trough Collector ◽

Artificial Neural

Download Full-text

Investigation of an Optimal Operating Condition for a Micro Combustor Regarding Basic Thermophotovoltaic System Requirements

The Role of Exergy in Energy and the Environment - Green Energy and Technology ◽

10.1007/978-3-319-89845-2_3 ◽

2018 ◽

pp. 27-41

Author(s):

Harun Yilmaz ◽

Omer Cam ◽

Ilker Yilmaz

Keyword(s):

Optimal Operating ◽

Operating Condition ◽

Optimal Operating Condition ◽

System Requirements ◽

Micro Combustor

Download Full-text

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

New & Renewable Energy ◽

10.7849/ksnre.2016.12.12.4.077 ◽

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

Download Full-text

Optimization operation of a parabolic trough collector using artificial neural network

2016 XVI International Congress of the Mexican Hydrogen Society (CSMH) ◽

10.1109/csmh.2016.7947661 ◽

2016 ◽

Author(s):

O. May Tzuc ◽

A. Bassam ◽

M. A. Escalante Soberanis ◽

M. Vazquez Caamal

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Parabolic Trough ◽

Parabolic Trough Collector ◽

Artificial Neural

Download Full-text

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

Water Science & Technology ◽

10.2166/wst.2006.282 ◽

2006 ◽

Vol 53 (9) ◽

pp. 265-270 ◽

Cited By ~ 3

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%.

Download Full-text