Article
Thermodynamics
Sara Rostami, Rasool Kalbasi, Nima Sina, Aysan Shahsavar Goldanlou
Summary: This study evaluated the influence of incorporating MWCNT on the thermal conductivity of paraffin numerically, finding that an ANN with six neurons in the hidden layer had higher accuracy and correlation coefficient compared to other ANN.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Engineering, Multidisciplinary
Christian Emeka Okafor, Ezekiel Junior Okafor, Kingsley Okechukwu Ikebudu
Summary: This study evaluated the performance of different machine learning methods in predicting the tensile strength of microwave post-cured composite tailored for weight-sensitive applications. The results showed that the ANFIS and ANFIS-MOGA models were more accurate than the ANN model, and the optimized process settings yielded workable results. Therefore, selecting microwave post-cured composite for weight-sensitive applications is beneficial.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2022)
Article
Materials Science, Ceramics
Abdullahi Abbas Adam, Hassan Soleimani, Muhammad Fadhlullah Bin Abd Shukur, John Ojur Dennis, Bashir Abubakar Abdulkadir, Yarima Mudassir Hassan, Jemilat Yetunde Yusuf, Nurrul Asyiqin Bt Shamsuri
Summary: Solid polymer electrolytes (SPEs) based on natural biopolymeric macromolecules have great potential due to their abundance, low cost, biocompatibility, and biodegradability. However, their low ionic conductivity poses a challenge. In this study, response surface methodology (RSM) and artificial neural network (ANN) were used to optimize the performance of pectin/methylcellulose (PC/MC) based SPE complexed with potassium phosphate (K3PO4) and glycerol, resulting in improved conductivity and potential window.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2022)
Article
Thermodynamics
Mashhour A. Alazwari, Nidal H. Abu-Hamdeh, Elias Mesfin Salilih
Summary: This study examined the accuracy of estimating k(SiO2/EG) using artificial neural networks and response surface methodology. Results showed that artificial neural networks were superior in predicting thermal conductivity, with both methods showing low accuracy at low mass fractions. The application of SiO2/EG nanofluid through a heat exchanger was challenged from the perspective of the second law of thermodynamics.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Energy & Fuels
S. Lalhriatpuia, Amit Pal
Summary: This study investigates the combined effects of engine load, cobalt oxide nanoparticles doped rate, linseed biodiesel blend rate, and biogas flow rate on engine performance and emission outputs. Computational methods such as response surface methodology and artificial neural network were used to establish a prediction model. The optimization study found that an optimal combination of nanoparticles, biodiesel, and biogas could significantly improve CI engine performance and emission responses.
Article
Environmental Sciences
Sajjad Hussain, Hammad Khan, Saima Gul, Juliana R. Steter, Artur J. Motheo
Summary: The study investigated the modeling and optimization of operational variables for the simulation of the Photolytic degradation of Sulfamethoxazole (SMX) and concurrent total organic carbon (TOC) removal using Boosted Regression Trees (BRT), artificial neural network (ANN), and response surface methodology (RSM). Results showed that ANN and BRT performed better in data fitting and prediction compared to the RSM method.
Article
Agricultural Engineering
Prasad Sanap, Deepak Sonawane, Somesh Patil, Amit Pratap
Summary: Depleting petroleum resources and increasing environmental concerns have led to a global shift towards bio-lubricants. Chemical modification of vegetable oils can improve their performance, and optimizing the synthesis conditions can achieve better results.
INDUSTRIAL CROPS AND PRODUCTS
(2022)
Article
Engineering, Chemical
Mohammed Alrugaibah, Yavuz Yagiz, Liwei Gu
Summary: This research demonstrates that new non-aqueous organic solvents can effectively extract procyanidins and anthocyanins from cranberry pomace, with NDES 2 and NDES 8 showing the highest extraction yields, respectively. Additionally, artificial neural networking is shown to be an alternative or better approach than response surface methodology for predictive modeling in this context.
SEPARATION AND PURIFICATION TECHNOLOGY
(2021)
Article
Thermodynamics
Shreyas P. Shetty, Sadvidya Nayak, Shiva Kumar, K. Vasudeva Karanth
Summary: The study successfully predicted the thermohydraulic performance of a circular perforated absorber plate using the MLP model of ANN. Testing on 24, 36, and 54 holes with diameters of 5 mm, 8 mm, and 10 mm showed an average error of 1.58%, demonstrating the effectiveness of the ANN model.
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2021)
Article
Biotechnology & Applied Microbiology
Shimelis Kebede Kassahun, Zebene Kiflie, Hern Kim, Anteneh Fufa Baye
Summary: In this study, visible light active N-doped TiO2-SiO2 nanoparticles were synthesized for the photodegradation and mineralization of ciprofloxacin. The maximum CIP degradation efficiency of 88.45% and TOC removal efficiency of 75.18% were achieved under the optimum operating parameters. The adsorption isotherm and chemical kinetic studies were best fitted by Langmuir isotherm and pseudo-second-order kinetic models, respectively.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Thermodynamics
Jawed Mustafa, Saeed Alqaed, M. M. Abdullah, Shahid Husain, Mohsen Sharifpur
Summary: The thermal behavior of a hybrid nanofluid containing multi-walled carbon nanotube (MWCNT) and ZrO2 nanoparticles was investigated in this study. The addition of MWCNT - ZrO2 nanoparticles led to an increase in thermal conductivity up to 15.4%. The response surface methodology and artificial intelligence tools were used to estimate the thermal conductivity ratio (TCR) effectively and accurately.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2023)
Article
Thermodynamics
Sanjeev Kumar, Randip Kumar Das, Kishor Kulkarni, Tabish Alam, Sayed M. Eldin
Summary: In this study, a low cost solar air heater (SAH) is designed using numerical simulation and exergy analysis. The thermo-hydraulic behavior of the SAH duct with rib roughness of rectangular and symmetric half NACA 0020 cross-sections is analyzed numerically. Ribs with NACA 0020 cross-section have higher heat transfer and lower flow friction.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Agricultural Engineering
V. Shenbagamuthuraman, Nanthagopal Kasianantham
Summary: This study utilizes microwave irradiation and acid hydrolysis to produce bioethanol from Chlorella vulgaris. Optimization of bioethanol production is achieved through the use of RSM and ANN. The study also explores the potential of leftover biomass for other energy production.
BIORESOURCE TECHNOLOGY
(2023)
Article
Environmental Sciences
Gokulan Ravindiran, Praveen Saravanan, Avinash Alagumalai, Saravanan Subbarayan
Summary: The present research successfully applied RSM, ANN, and ANFIS models for the decolorization of RY81 in aqueous solution, with thorough characterization and analysis. The study found that biochar can efficiently remove dyes and has good regeneration capabilities.
Article
Microbiology
Vanja Vlajkov, Stefan Andelic, Ivana Pajcin, Mila Grahovac, Dragana Budakov, Aleksandar Jokic, Jovana Grahovac
Summary: High costs of cultivation media are a leading limiting factor in the wider industrial production and commercialization of microbial biopesticides. The selection of alternative sources of macronutrients is crucial for the growth and metabolic activity of producing microorganisms, and understanding the medium composition's influence on the production of biocontrol agents is enabled through bioprocess modeling and optimization. In this study, two modeling approaches were used to describe the behavior of the bioprocess, and after comparing results, the first model was chosen for further optimization of the optimal cultivation medium composition.
Article
Energy & Fuels
Satyender Singh, Shailendra Kumar Chaurasiya, Bharat Singh Negi
Summary: The experimental study presented a solar air heater design with a wavy channel embedded with porous media to enhance fluid mixing and heat transfer area, resulting in high thermal performance. The investigation showed promising scope for thermal performance enhancement, with significant impact on thermal and thermohydraulic efficiency.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2021)
Article
Energy & Fuels
Ajay Kumar, Shubham Silswal, Prashant Dhiman
Summary: PV/T systems utilize recycling to cool photovoltaic modules, reducing surface temperature and improving electrical efficiency. The systems have versatile applications and can be optimized with varying parameters according to specific design performance.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2021)
Article
Thermodynamics
Satyender Singh
Summary: This study investigates the thermohydraulic performance of a porous serpentine wavy channel solar air heater. The effect of fractional porous interface, channel porosity, and Reynolds number on the design's performance is comprehensively illustrated. Experimental and numerical investigations are conducted to optimize the input variables. The results highlight the potential of using porous media and varying porosity to improve the thermal performance of solar air heaters.
APPLIED THERMAL ENGINEERING
(2022)
Article
Energy & Fuels
Ajay Kumar, Prashant Dhiman
Summary: A hybrid photovoltaic-thermal (PV/T) system with a double-pass solar air heater under external recycling is proposed for simultaneous generation of electrical and thermal power. The system utilizes working fluids to transfer heat generated by PV panels for other applications. The experimental results show good agreement with the theoretical model.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Energy & Fuels
Geeta Verma, Satyender Singh, Subhash Chander, Prashant Dhiman
Summary: This study predicts the thermal performance of a PCM embedded parallel flow solar air heater using differential air flow arrangements. The transient computational iterative solution procedure accurately predicts the transient temperatures for a 24-hour working cycle, including sunny and nocturnal hours. The results reveal significant thermal energy storage and heat gain under different time and air flow rate arrangements.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Amitesh Sharma, Sushant Thakur, Prashant Dhiman
Summary: This research article investigates the impinging jet solar air heater with V-patterned ribs on a modified absorber plate, aiming to enhance the thermal and thermohydraulic efficiencies by varying jet parameters and the arrangement of the V pattern.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Thermodynamics
Shailendra Kumar Chaurasiya, Satyender Singh
Summary: This study aims to improve the thermohydraulic performance of solar air heaters by enhancing jet stability and reducing jet deflection. The numerical results demonstrate that stabilizing the air jet array can significantly enhance the thermohydraulic performance, with design-I outperforming other designs at equal mass flow rate and Reynolds number. Additionally, correlations for heat transfer and fluid dynamics characteristics were established. The findings provide important guidelines for designing solar air heaters with jet impingement.
ASME JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Energy & Fuels
Amitesh Sharma, Sushant Thakur, Prashant Dhiman
Summary: Solar air heaters have been the most affordable method for utilizing solar energy, but their cost-effectiveness is diminishing compared to other advancements. The use of jet impingement technology has improved the performance of heating and cooling devices with minimal expense. This experimental study focuses on using impinging air and V-patterned cylindrical wiring ribs to enhance the heat transfer of a rectangular conduit solar air heater. The results show that the V-patterned ribs accelerate the flow of air after impingement, leading to enhanced heat transfer. The thermal-hydraulic performance was also evaluated, with a maximum value of 3.301 obtained within the examined parameter range.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2023)
Article
Green & Sustainable Science & Technology
Ajay Kumar, Prashant Dhiman
Summary: This study introduces statistical models using response surface methodology to investigate the performance parameters of a recycling type PVT system. The results show that the mass flow rate is the most influential input factor affecting the thermal and electrical performance of the system.
Article
Thermodynamics
Vaibhav Dilip Nagale, Satyender Singh, Sanjay Kumar
Summary: This study presents the thermal performance prediction of a solar air heater design with integrated thermal energy storage systems in low temperature regions. The use of a recyclic double air pass and wavy corrugated PCM units with paraffin wax as PCM is explored. The results show that optimum outlet air temperature and size of the thermal energy storage systems can be achieved under certain geometric and flow parameters.
APPLIED THERMAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Shailendra Kumar Chaurasiya, Satyender Singh
Summary: This experimental work investigates the thermal and thermohydraulic performance of two novel designs of solar air heater using confined submerged circular air jet arrays. The results show that Design-I, with a wavy transparent acrylic sheet, has better heat transfer augmentation and compactness compared to Design-II, which has a wavy metallic impinging plate. Design-I has higher thermal and thermohydraulic efficiency, with increases of 24.33% and 24.52%, respectively, compared to Design-II. The recommended mass flow rate is 0.03 kg/s, with an operating cost of 0.109 INR/kWh for Design-I.
Article
Thermodynamics
Shailendra Kumar Chaurasiya, Satyender Singh
Summary: This study presents an experimental and numerical investigation on the optimization of a wavy PCM unit to achieve high power and energy density in a solar air heater at low ambient temperatures. The effects of fractional porous region and porosity of the PCM unit were studied, and the optimal values were determined. The optimized thermal energy storage unit was further utilized in an impinging jet solar air heater design to obtain high temperature outlet air and long thermal backups. The economic analysis showed low operating costs under the optimal condition.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Shailendra Kumar Chaurasiya, Satyender Singh
Summary: This study numerically investigates the thermohydraulic performance of a wavy corrugated solar air heater design with impinging circular air jet array. It finds that the design performs the best at X/D-h = 0.45, Y/D-h = 0.90, D/D-h = 0.06, and h = 0.021 m. Higher Reynolds numbers and shorter collector lengths are recommended for improved performance.
JOURNAL OF ENHANCED HEAT TRANSFER
(2023)
Proceedings Paper
Materials Science, Multidisciplinary
Ajay Kumar, Prashant Dhiman
Summary: This paper analyzes the performance of two different designs of external recycling photovoltaic thermal systems (PV/T) using a steady-state model. The study reveals that the first design outperforms the second design in terms of performance. Furthermore, parameters such as recycle ratio, mass flow rate, and packing factor have significant effects on the electrical, thermal, and combined efficiency of the system.
MATERIALS TODAY-PROCEEDINGS
(2022)
Article
Construction & Building Technology
Samiran Khorat, Debashish Das, Rupali Khatun, Sk Mohammad Aziz, Prashant Anand, Ansar Khan, Mattheos Santamouris, Dev Niyogi
Summary: Cool roofs can effectively mitigate heatwave-induced excess heat and enhance thermal comfort in urban areas. Implementing cool roofs can significantly improve urban meteorology and thermal comfort, reducing energy flux and heat stress.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Qi Li, Jiayu Chen, Xiaowei Luo
Summary: This study focuses on the vertical wind conditions as a main external factor that limits the energy assessment of high-rise buildings in urban areas. Traditional tools for energy assessment of buildings use a universal vertical wind profile estimation, without taking into account the unique wind speed in each direction induced by the various shapes and configurations of buildings in cities. To address this limitation, the study developed an omnidirectional urban vertical wind speed estimation method using direction-dependent building morphologies and machine learning algorithms.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Xiaojun Luo, Lamine Mahdjoubi
Summary: This paper presents an integrated blockchain and machine learning-based energy management framework for multiple forms of energy allocation and transmission among multiple domestic buildings. Machine learning is used to predict energy generation and consumption patterns, and the proposed framework establishes optimal and automated energy allocation through peer-to-peer energy transactions. The approach contributes to the reduction of greenhouse gas emissions and enhances environmental sustainability.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ying Yu, Yuanwei Xiao, Jinshuai Chou, Xingyu Wang, Liu Yang
Summary: This study proposes a dual-layer optimization design method to maximize the energy sharing potential, enhance collaborative benefits, and reduce the storage capacity of building clusters. Case studies show that the proposed design significantly improves the performance of building clusters, reduces energy storage capacity, and shortens the payback period.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Felix Langner, Weimin Wang, Moritz Frahm, Veit Hagenmeyer
Summary: This paper compares two main approaches to consider uncertainties in model predictive control (MPC) for buildings: robust and stochastic MPC. The results show that compared to a deterministic MPC, the robust MPC increases the electricity cost while providing complete temperature constraint satisfaction, while the stochastic MPC slightly increases the electricity cost but fulfills the thermal comfort requirements.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Somil Yadav, Caroline Hachem-Vermette
Summary: This study proposes a mathematical model to evaluate the performance of a Double Skin Facade (DSF) system and its impact on indoor conditions. The model considers various design parameters and analyzes their effects on the system's electrical output and room temperature.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ruijun Chen, Holly Samuelson, Yukai Zou, Xianghan Zheng, Yifan Cao
Summary: This research introduces an innovative resilient design framework that optimizes building performance by considering a holistic life cycle perspective and accounting for climate projection uncertainties. The study finds that future climate scenarios significantly impact building life cycle performance, with wall U-value, windows U-value, and wall density being major factors. By using ensemble learning and optimization algorithms, predictions for carbon emissions, cost, and indoor discomfort hours can be made, and the best resilient design scheme can be selected. Applying this framework leads to significant improvements in building life cycle performance.
ENERGY AND BUILDINGS
(2024)
