Article
Chemistry, Physical
Aysenur Ozdemir, Gamze Genc
Summary: This paper presents an analysis of energy and exergy for a thermochemical hydrogen production facility based on solar power. Different thermochemical cycles are compared, and the use of a recompression S-CO2 Brayton power cycle is found to enhance system performance. The maximum achieved efficiency is 27%, and the energy and exergy efficiencies vary with solar radiation and concentration ratio. The solar energy unit is identified as the main source of exergy destruction.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Physical
Onur Oruc, Ibrahim Dincer
Summary: This study examines the Cobalt-Chlorine (Co-Cl) cycle in detail in terms of thermodynamics as a carbon-free and sustainable hydrogen production method. Results show that the cycle has an exergy efficiency of 33%, with the hydrolysis reaction leading to the greatest exergy destruction and the hydrochlorination reaction having the lowest exergy destruction. In terms of kinetics, the high exergy efficiency indicates that the cycle is feasible in terms of thermodynamics.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Thermodynamics
Yarkin Gevez, Ibrahim Dincer
Summary: This study presents a novel integrated energy system based on renewable geothermal energy source with a Copper Chlorine (CuCl) thermochemical cycle for hydrogen production production and a multistage desalination subsystem for freshwater production. The system achieves high efficiency in terms of energy and exergy through thermodynamic analysis. Parametric studies are conducted to observe the effects of different conditions on the system.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Fan Jiao, Buchu Lu, Chen Chen, Qibin Liu
Summary: Thermochemical cycles are a promising method for hydrogen production but have challenges. A novel analysis method based on exergy and energy levels is proposed to explain the mechanism of triggering endothermic reactions. It is found that a certain exergy (or energy level) standard must be satisfied to trigger a thermochemical reaction.
Article
Thermodynamics
Fatih Sorgulu, Ibrahim Dincer
Summary: This study assesses a newly developed solar energy-driven thermochemical cycle for hydrogen generation and injection into the natural gas pipeline. The blended hydrogen, produced by the heavy element halide cycle, is utilized in gas turbine systems, gas cookers, and combi boilers in a community. Desalination units are integrated to produce freshwater for the community. The overall exergetic and energetic efficiencies of the integrated system are obtained as 21.3% and 26.1% for the selected operating conditions.
Article
Thermodynamics
Onur Oruc, Ibrahim Dincer
Summary: This study focuses on the system integration approach of the NaOH thermochemical cycle for hydrogen production, utilizing Aspen Plus and SAM software to simulate and generate high efficiency hydrogen and electricity.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Yarkin Gevez, Ibrahim Dincer
Summary: This paper proposes and investigates a novel multigenerational integrated system that is capable of producing various commodities for a community using solar and geothermal energy sources. The system provides power, heat, hot water, and freshwater using heat storage, thermochemical cycle, desalination plant, solar power tower, and organic Rankine cycle. The system is thermodynamically analyzed and its performance is studied under different ambient and working conditions.
Article
Chemistry, Physical
Sibel Uygun Batgi, Ibrahim Dincer
Summary: This study describes a multigeneration system that utilizes a hybrid sulfur cycle and solar power towers to produce useful outputs such as hydrogen and freshwater. The overall energy and exergy efficiencies for the system are determined to be 8.15% and 3.73%, respectively. This integrated system represents a promising solution for renewable hydrogen production and freshwater generation.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Thermodynamics
Fatih Sorgulu, Ibrahim Dincer
Summary: In this study, a novel renewable energy-based trigeneration system integrated with a thermochemical cycle is developed and evaluated for residential applications. Solar radiation and wind kinetic energy are utilized for electricity production, while a biomass-driven thermochemical cycle for hydrogen generation is analyzed. The system provides necessary electricity and heat for residential appliances, and fresh water for a community of 10,000 houses.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Chemistry, Physical
Dusan Strusnik, Jurij Avsec
Summary: Integrating new technologies into existing thermal energy systems enables efficient multigenerational energy production and rapid responsiveness to market conditions. The integration of the hydrogen thermochemical Cu-Cl cycle into a gas-steam power plant improves energy efficiency and provides backup power in case of electricity system breakdown.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Engineering, Multidisciplinary
R. Raveendra Nath, K. Hemachandra Reddy, C. Vijaya Bhaskar Reddy
Summary: The study introduces parallel streams in the Goswami cycle to improve performance, resulting in consistently higher output compared to the conventional cycle. The thermal efficiency and exergy efficiency of the modified cycle show different results compared to the Goswami cycle.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Chemistry, Physical
Fatih Sorgulu, Ibrahim Dincer
Summary: In this study, the assessment of a renewable energy-based hybrid sulfur-bromine cycle for hydrogen fuel production and effective utilization is conducted. Natural gas-hydrogen blend produced by this cycle is supplied to the combustion subsystems, while solar and wind energy sources are considered for green hydrogen production. The integrated system also includes a drying unit and a desalination unit to provide electricity, heat, and clean water for the community. The overall energy and exergy efficiencies of the system are determined to be 64.43% and 32.24%.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Chemistry, Physical
Jinghan He, Ninghui Han, Mingchao Xia, Tianyi Sun, Hadi Ghaebi
Summary: In this study, a new design of a multi-generation integrated energy system powered by biogas energy is proposed, assessed, and optimized. Energy, exergy, exergo-economic, and economic investigations are conducted to evaluate the system's performance. The designed system is capable of generating 108.7 kW of power, 888.7 kW of cooling load, and 703.3 kg/h of hydrogen. The energy and exergy efficiencies of the system are determined to be around 31.51% and 31.14%, respectively. Comprehensive parametric evaluation and optimization are performed to assess the influence of key variables on the system's operation, leading to the establishment of two different optimization styles. The optimization results show that a TCOP of 16.23 S/GJ and a net power of 158.21 kW can be achieved in the multiobjective optimization mode.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Energy & Fuels
Humphrey Adun, Michael Adedeji, Victor Adebayo, Ali Shefik, Olusola Bamisile, Doga Kavaz, Mustafa Dagbasi
Summary: This study investigates the thermodynamic performance of a Kalina cycle incorporated with parabolic trough collectors utilizing ternary nanofluids, showing that using nanofluids as working fluid can enhance system performance. The results reveal that different types of nanofluids have varying effects on system performance, with Al2O3, Al2O3-Fe, Al2O3-ZnO, and CuO-MgO-TiO2 nanoparticles showing promising results. The optimization study demonstrates that the maximum net power output and exergetic efficiency of the system can be significantly improved when using these nanofluids.
SOLAR ENERGY MATERIALS AND SOLAR CELLS
(2021)
Article
Energy & Fuels
Milad Izanloo, Mehdi Mehrpooya, Mostafa Delpisheh
Summary: The study presents a novel integrated carbon-capturing system for industrial flue gas emissions, utilizing a thermochemical Mg-Cl-Na cycle as the driving force, coupled with ammonia and methanation production units as energy carriers. Through sensitivity and exergy analysis, the system shows an energy efficiency of 16.9% and an exergy efficiency of 33.7%, highlighting the importance of the precipitation reactor in the total exergy destruction process.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Sharjeel Ashraf Ansari, Mustafa Khalid, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, Ghulam Hussain, Mohammed Alkahtani
Summary: Proton exchange membrane fuel cells (PEMFCs) are widely adopted as a sustainable energy resource, with a costly manufacturing process requiring mathematical modeling and simulations for performance optimization. The waste heat generated by the fuel cell can be utilized to drive an organic Rankine cycle system, producing additional power.
Article
Chemistry, Physical
Victor Adebayo, Muhammad Abid, Michael Adedeji, Tahir Abdul Hussain Ratlamwala
Summary: A novel solid oxide fuel cell (SOFC) multi-generation system fueled by biogas derived from agricultural waste is designed and analyzed. The system aims to limit greenhouse gas emissions and produces electricity, hot water, hydrogen, and cooling load simultaneously. The proposed cascaded closed-loop organic Rankine cycle improves the thermal efficiency of the system. The study also explores the effects of main parameters on system performance.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Physical
Haseeb Kamran, Uzair Mudassir, Abdul Moiz Ali, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, M. Abbas Raza, Karam Khan
Summary: MCFC is a viable source of renewable energy and its production requires time-consuming and costly processes. Mathematical modeling and efficiency simulations are necessary to maximize its performance. The integration of regenerative cycles, copper-chlorine cycle, and electric heater with PID controller can improve the overall system efficiency.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Multidisciplinary
Shakeel Ahmed, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, Senthan Mathavan, Ghulam Hussain, Mohammed Alkahtani, Marwan Bin Muhammad Alsultan
Summary: Accurate prediction of aerodynamic properties is crucial for applications involving fluid flows, and machine learning techniques have shown promising results in predicting the aerodynamic coefficients of airfoils.
APPLIED SCIENCES-BASEL
(2022)
Article
Thermodynamics
Khurram Altaf, Adeel Tariq, Syed Waqar Ahmad, Ghulam Hussain, T. A. H. Ratlamwala, Hafiz Muhammad Ali
Summary: This study focuses on optimizing the thermal performance of heatsinks by implementing slots while maintaining the pressure drop. Computational Fluid Dynamics analysis shows that the optimized heatsinks exhibit better thermal performance without compromising the pressure drop.
CASE STUDIES IN THERMAL ENGINEERING
(2022)
Article
Energy & Fuels
Muhammad Sabbar Hassan, Khurram Kamal, Tahir Abdul Hussain Ratlamwala
Summary: This research focuses on detecting and classifying power plant faults using intelligent artificial neural network approach. The findings show that both Levenberg-Marquardt and Bayesian regularization methods have high accuracy in detecting and classifying faults, with LM algorithm having faster training speed. The neural network-based methods are effective in detecting and classifying faults with good performance.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Materials Science, Multidisciplinary
Mushtaq Ali, Tahir Abdul Hussain Ratlamwala, Ghulam Hussain, Tauheed Shehbaz, Riaz Muhammad, Muhammad Aamir, Khaled Giasin, Danil Yurievich Pimenov
Summary: In this study, a new machining approach called aqueous machining is applied for mill machining and compared with traditional wet machining. The results show that aqueous machining has lower surface roughness and higher surface hardness, as well as energy gains, suggesting potential for sustainable machining in the future.
Article
Chemistry, Physical
Muhammad Nihal Naseer, Khurram Kamal, Muhammad Abid, Asif Iqbal, Hamdullah Khan, Ch. Muhammad Zubair, Sagar Kumar, Tahir Abdul Hussain Ratlamwala, Malik Muhammad Nauman
Summary: Energy production from clean and green sources is a major challenge. The integration of fuel cells and biogas offers a promising solution to reduce CO2 emissions. This study contributes by developing a self-sustaining biogas-fuel cell system for cold areas.
INTERNATIONAL JOURNAL OF PHOTOENERGY
(2022)
Article
Energy & Fuels
Sheikh Muhammad Ali Haider, Tahir Abdul Hussain Ratlamwala, Khurram Kamal, Fahad Alqahtani, Mohammed Alkahtani, Emad Mohammad, Moath Alatefi
Summary: This study proposes a multigeneration system using geothermal energy, which can generate power, space heating, cooling, fresh and hot water, dry air, and hydrogen as valuable by-products. The system includes a regenerative Rankine cycle, a double effect absorption cycle, and a double flash desalination cycle. It produces a significant amount of electrical power, hydrogen, and fresh water for commercial or domestic use. The power output is 103 MW, with thermal efficiency of 24.42%, energetic efficiency of 54.22%, and exergetic efficiency of 38.96%. The COPen is found to be 1.836 and the COPex is found to be 1.678. The production rates of hydrogen and fresh water are 0.1266 kg/s and 37.6 kg/s, respectively.
Article
Chemistry, Analytical
Mustajab Ahmed, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, Ghulam Hussain, Mejdal Alqahtani, Mohammed Alkahtani, Moath Alatefi, Ayoub Alzabidi
Summary: This research utilized spectrograms of airborne acoustic emission data and a residual network to monitor the tool health of an end-milling machine. Different cutting tools were used and their acoustic emission signals were recorded for various cut depths. The trained model showed an overall classification accuracy of 99.7%, with 100% accuracy for classifying hardwood and 99.5% accuracy for classifying softwood.
Article
Chemistry, Physical
Humayun Arif, Aqueel Shah, Tahir Abdul Hussain Ratlamwala, Khurram Kamal, Maqsood Ahmed Khan
Summary: Population explosion, industrialization, and urbanization have increased global energy requirements, prompting the search for simple and cost-effective energy solutions. The addition of Shape Memory Alloy NiTiNOL to the Stirling engine has shown promising results in improving engine efficiency. The research focuses on changing the base plate material of the modified Stirnol engine and assessing its performance with the integration of a NiTiNOL spring.
Article
Biochemistry & Molecular Biology
Uzair Bhatti, Hamza Aamir, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, Fahad Alqahtani, Mohammed Alkahtani, Emad Mohammad, Moath Alatefi
Summary: This research focuses on developing and analyzing multigeneration systems that utilize hybrid sources like biomass and wind. The goal is to optimize these systems to meet industrial requirements and provide various outputs, such as power, cooling, hydrogen, air conditioning, freshwater, hot water, and heating. The performance of the multigeneration cycle was assessed using energy and exergy analysis, and the study emphasized the consideration of thermodynamic, economic, and environmental aspects in configuration selection and design. The results determined the best location for this multigeneration system, with a wind turbine power output of around 7 MW, a biogas power output of 0.6 MW, and an overall exergy efficiency of 0.1401.
Article
Chemistry, Physical
Muhammad Sajid Khan, Tahir Ratlamwala, Mi Yan, Saadia Yousuf, Muhammad Abid
Summary: Waste-to-energy incineration is an effective solution to reduce waste and generate electricity. This study proposes a solar-integrated approach to improve the efficiency of conventional incineration plants and increase the production of freshwater and hydrogen.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Computer Science, Information Systems
Fawad Khan, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, Mohammed Alkahtani, Mohammed Almatani, Senthan Mathavan
Summary: This study discusses the use of deep learning, specifically LSTM, for monitoring the condition of tools in the manufacturing industry. The results demonstrate the model's high accuracy in predicting tool failures for different workpiece materials.
Article
Multidisciplinary Sciences
Adeel Asghar, Tahir Abdul Hussain Ratlamwala, Khurram Kamal, Mohammed Alkahtani, Emad Mohammad, Senthan Mathavan
Summary: This study utilizes a regression-based prediction technique using neural networks to accurately predict the power output of a combined cycle power plant and compares it with actual data. The study finds that temperature has a significant impact on the performance of the power plant, and the lower heating value of the fuel is an important factor affecting power output. The results suggest that data science techniques can substitute extensive thermodynamic calculations.
Article
Engineering, Chemical
Qing Han, Mengqing Shi, Linkai Han, Di Liu, Mingwei Tong, Yuxin Xie, Zhonghua Xiang
Summary: Developing highly efficient bifunctional oxygen electrocatalysts is crucial for zinc-air flow batteries. Metal-organic frameworks (MOFs) and covalent organic polymers (COPs) have emerged as promising alternatives due to their designable and controllable atomic-level structures. However, their catalytic performances are limited by conductivity and catalytic activity. In this study, nanosheet FeNi-MOF and iron phthalocyanine rich COP hybrid materials are assembled through the pi-pi stacking effect to create highly efficient bifunctional electrocatalysts. The resulting catalyst exhibits superior catalytic performance and stability, making it a promising candidate for zinc-air flow batteries.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Daria Grigorash, Dmytro Mihrin, Rene Wugt Larsen, Erling H. Stenby, Wei Yan
Summary: The article introduces a new approach to describe the cross-association between molecules, allowing for the simulation of weakly bound molecular complexes with different conformations in mixtures. By incorporating this approach into the equation of state, accurate predictions of vapor-liquid equilibrium and liquid-liquid equilibrium can be made. The new method is validated through experiments on alcohol and acid mixtures, with the results compared to experimental data, demonstrating its accuracy and reliability.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Mohammed Al-Sharabi, Daniel Markl, Vincenzino Vivacqua, Prince Bawuah, Natalie Maclean, Andrew P. E. York, Axel Zeitler
Summary: This study used terahertz pulsed imaging to investigate the transport process of different solvents into ceramic catalytic materials. The results showed that the heating rate of the samples influenced the water transport rate, while the viscosity of 1-octanol slowed down its transport.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Chukwunonso Anyaoku, Sati Bhattacharya, Rajarathinam Parthasarathy
Summary: This study aimed to enhance understanding of settling dynamics in viscoelastic fluids by developing a semi-empirical correlation and a dimensionless ratio, which accurately described the characteristics of settling suspensions.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Antti I. Koponen, Janika Viitala, Atsushi Tanaka, Baranivignesh Prakash, Olli-Ville Laukkanen, Ari Jasberg
Summary: This study focuses on the development of foam application chemicals for the paper and board industry. The research explores the rheology of the polyvinyl alcohol foam used in the process. Measurements were conducted to determine the foam viscosity and slip flow. The results suggest that slip flow contributes significantly to the total flow rate, and the obtained viscosity and slip models provide a solid foundation for industrial processes.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Dalei Sun, Jinghui Cai, Yating Yang, Zhiwu Liang
Summary: In this study, Fe-doped alpha-Bi2O3 catalysts with different Fe/Bi molar ratios were synthesized and utilized in the carbonylation of isobutyl amine with CO2. The results showed that Fe doping significantly enhanced the catalytic abilities of alpha-Bi2O3.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Yuan Tian, Xinxin Wang, Yanrong Liu, Wenping Hu
Summary: This paper predicts the solubility of nitrogen gas in ionic liquids (ILs) using two quantitative structure-property relationship (QSPR) models. By combining machine learning methods and ionic fragments contribution method, the accuracy and reliability of the prediction models are improved.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Liwang Wang, Wei Liu, Pan Yang, Yulong Chang, Xiaoxu Duan, Lingyu Xiao, Yaoming Hu, Jiwei Wu, Liang Ma, Hualin Wang
Summary: This study investigates the effective phase interfacial area (ae) of hydro-jet cyclones at different injection angles. The results show that a 45 degrees upward incidence angle yields the most favorable flow field characteristics for efficient mass transfer. The significant enhancement in ae of the hydro-jet cyclones offers the advantage of reducing equipment volume and cost savings.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Chuanjun Wu, Jiangzhi Chen, Jiyue Sun, I-Ming Chou, Shenghua Mei, Juezhi Lin, Lei Jiang
Summary: In this study, the solubility of H2S hydrate in water was measured using Raman spectroscopy. The results showed that the solubility increases with temperature under certain equilibrium conditions, and the solubility also depends on pressure and temperature under different equilibrium conditions. A thermodynamic model based on the van der Waals-Platteeuw theory was developed to predict the solubility, demonstrating its accuracy.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Lorenzo Brivio, Serena Meini, Mattia Sponchioni, Davide Moscatelli
Summary: This study investigates the influence of three main parameters and proposes a kinetic model to predict the optimal operating conditions for high yield of dimethyl terephthalate (DMT) in the chemical recycling process of polyethylene terephthalate (PET).
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Hongju Lin, Fanhui Liao, Yanchang Chu, Mingyu Xie, Lun Pan, Yuanyuan Wang, Lijian Leng, Donghai Xu, Le Yang, Gangfeng Ouyang
Summary: A honeycomb NiCo/C-Na catalyst with a micro-meso-macroporous structure has been fabricated and shown to have significantly higher catalytic activity for the decarboxylation of fatty acids. It also proves to be efficient in upgrading sludge HTL bio-crude, resulting in a biofuel with decreased viscosity and increased density.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Xiaoxian Li, Rui Li, Min Lin, Mingde Yang, Yulong Wu
Summary: A series of coated non-noble metal porous carbon catalysts were synthesized and applied to the aqueous-phase deoxygenation of algal bio-oil. One of the catalysts showed excellent deoxygenation selectivity and catalytic activity at 250 degrees C. The catalyst exhibited good hydrothermal stability and the reaction mechanism was proposed based on product analysis and active site analysis.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
M. V. Chudakova, M. V. Popov, P. A. Korovchenko, E. O. Pentsak, A. R. Latypova, P. B. Kurmashov, A. A. Pimenov, E. A. Tsilimbaeva, I. S. Levin, A. G. Bannov, A. V. Kleymenov
Summary: A series of catalysts with different potassium contents were prepared using solution combustion synthesis and characterized using various techniques. The results showed that the potassium content affected the phase composition and texture of the catalysts. The addition of a small amount of potassium resulted in a change in particle size distribution, leading to higher hydrogen yield. The Ni-1%K2O/Al2O3 catalyst exhibited the highest hydrogen yield at temperatures of 675 and 750 degrees Celsius.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Aliakbar Roosta, Nima Rezaei
Summary: In this study, we modified the electrolyte cubic plus association equation of state (e-CPA EoS) and integrated it with two electrical conductivity models to estimate the electrical conductivity of 11 monovalent electrolyte solutions in water. The modified e-CPA model demonstrated better performance and the hybridization with electrical conductivity models resulted in two predictive models for estimating the electrical conduction of dilute and concentrated electrolyte solutions. These predictive models showed relative average percentage deviations (AARD) of 11.15% and 13.87% over wide ranges of temperature and electrolyte concentration.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Haoren Niu, Jianzheng Wang, Qingzhu Jia, Qiang Wang, Jin Zhao, Fangyou Yan
Summary: A study developed two quantitative structure-property relationship models for the complexation performance of alpha- and beta-cyclodextrins and validated their stability and predictive ability through internal and external validation. The models showed robustness and satisfactory performance, as demonstrated by the experimental results and model validations. These models can effectively predict the binding constants between cyclodextrins and various types of molecules, providing valuable tools for cyclodextrin design.
CHEMICAL ENGINEERING SCIENCE
(2024)
