Progress of artificial neural networks applications in hydrogen production

Abdelkareem, Mohammad Ali; Soudan, Bassel; Mahmoud, Mohamed S.; Sayed, Enas Taha; AlMallahi, Maryam Nooman; Inayat, Abrar; Radi, Muaz Al; Abdelkareem, Mohammad Ali

doi:10.1016/j.cherd.2022.03.030

Cited by 67 publications

(12 citation statements)

References 131 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[BH 2 (OCH 3 ) 2 ] − + CH 3 OH → [BH(OCH 3 ) 3 ] − + H 2 (9) [BH(OCH 3 ) 3 ] − + CH 3 OH → [B(OCH 3 ) 4 ] − + H 2 (10) During the progress of the reaction, the interaction of a borohydride anion or an alkoxyborohydride anion with methanol involves the formation of different transition states which leads to obtaining a Gibbs free energy profile (Fig. 7).…”

Section: Reaction Chemistry and Engineering Papermentioning

confidence: 99%

“…Hydrogen-based energy systems consist of four steps: production, storage, safety and utilization. 9 Although hydrogen is an excellent fuel, with an energy density (33.33 kWh kg −1 ) that is almost triple that of gasoline and diesel (12 kWh kg −1 ), storing the same amount of hydrogen requires large volumes compared to other fuels. Because of this, hydrogen storage is a key and fundamental factor in energy systems.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reactive and non-reactive species formed during the methanolysis of NaBH₄: a theoretical and experimental approach

2023

View full text Add to dashboard Cite

show abstract

Section: Reaction Chemistry and Engineering Papermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reactive and non-reactive species formed during the methanolysis of NaBH₄: a theoretical and experimental approach

2023

View full text Add to dashboard Cite

show abstract

“…One of the most promising ways to combat the current climate change concerns is the efficient conversion of hydrogen into an energy source for transportation and industrial purposes [3,4]. Hydrogen is a renewable energy that might help sustainable energy systems [5]. In addition, hydrogen is a clean energy carrier that has drawn a lot of interest and is anticipated to make a substantial contribution to the energy mix in developing low-carbon energy [6].…”

Section: Introductionmentioning

confidence: 99%

Integrated Energy System Powered a Building in Sharjah Emirates in the United Arab Emirates

et al. 2023

View full text Add to dashboard Cite

In this study, a green hydrogen system was studied to provide electricity for an office building in the Sharjah emirate in the United Arab Emirates. Using a solar PV, a fuel cell, a diesel generator, and battery energy storage; a hybrid green hydrogen energy system was compared to a standard hybrid system (Solar PV, a diesel generator, and battery energy storage). The results show that both systems adequately provided the power needed for the load of the office building. The cost of the energy for both the basic and green hydrogen energy systems was 0.305 USD/kWh and 0.313 USD/kWh, respectively. The cost of the energy for both systems is very similar, even though the capital cost of the green hydrogen energy system was the highest value; however, the replacement and operational costs of the basic system were higher in comparison to the green hydrogen energy system. Moreover, the impact of the basic system in terms of the carbon footprint was more significant when compared with the green hydrogen system. The reduction in carbon dioxide was a 4.6 ratio when compared with the basic system.

show abstract

“…45 Lately, artificial intelligence (AI) has been involved in the modelling and demonstrated its superior efficacy compared with the others conventional approaches specifically to model complicated and nonlinear data. [46][47][48][49] Moreover, it could be used for deciding the optimum operating condition of multivarient processes. 50,51 AIbased modelling plays an essential role to develop smart systems in several real-world application fields.…”

Section: Introductionmentioning

confidence: 99%

Application of soft computing in maximization of amoxicillin degradation from contaminated water using solar energy

Fathy

Olabi

Rezk

et al. 2022

Intl J of Energy Research

View full text Add to dashboard Cite

Summary Amoxicillin is a pharmaceutical pollutant that has severe impacts on aquatic life. Traditional treatment methods of Amoxicillin contaminated wastewater are expensive and inefficient. This paper uses soft computing to identify the best operating parameters of the solar photocatalysis process. The target is to maximize the degradation of Amoxicillin from wastewater. The proposed methodology integrates ANFIS modelling and grey wolf optimization (GWO). Three operating parameters are considered: TiO2 (g/L) dosage, initial antibiotic concentration (mg/L), and initial pH to maximize the AMX degradation (%). Based on experimental datasets, ANFIS model is designed to simulate the output solar photocatalysis process in terms of the mentioned operating parameters. The constructed ANFIS model is accurate; the R‐squared values are 0.9982 and 0.9979 for training and testing. Then, using GWO, the best values of TiO2 (g/L), Amoxicillin (mg/L), and pH are determined. The results were compared with an optimized performance by response surface methodology and experimental data to demonstrate the superiority of the suggested methodology. The suggested methodology maximized the Amoxicillin (AMX) degradation by 3% while using higher initial AMX concertation by 60% and 90%, compared with the experimental and RSM methodologies. The results demonstrated the superiority of the proposed method in determining the adequate operating conditions while keeping the same operating conditions of the applied pH and TiO2 concentration.

show abstract

Progress of artificial neural networks applications in hydrogen production

Cited by 67 publications

References 131 publications

Reactive and non-reactive species formed during the methanolysis of NaBH₄: a theoretical and experimental approach

Reactive and non-reactive species formed during the methanolysis of NaBH₄: a theoretical and experimental approach

Integrated Energy System Powered a Building in Sharjah Emirates in the United Arab Emirates

Application of soft computing in maximization of amoxicillin degradation from contaminated water using solar energy

Contact Info

Product

Resources

About

Progress of artificial neural networks applications in hydrogen production

Cited by 67 publications

References 131 publications

Reactive and non-reactive species formed during the methanolysis of NaBH4: a theoretical and experimental approach

Reactive and non-reactive species formed during the methanolysis of NaBH4: a theoretical and experimental approach

Integrated Energy System Powered a Building in Sharjah Emirates in the United Arab Emirates

Application of soft computing in maximization of amoxicillin degradation from contaminated water using solar energy

Contact Info

Product

Resources

About

Reactive and non-reactive species formed during the methanolysis of NaBH₄: a theoretical and experimental approach

Reactive and non-reactive species formed during the methanolysis of NaBH₄: a theoretical and experimental approach