Abinet Gosaye Ayanie

Adama Science and Technology University

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Prabhu Paramasivam

Chitkara University

S M Mozammil Hasnain

Marwadi University

Kashif Irshad

King Fahd University of Petroleum and Minerals

Asim Ahmad

King Fahd University of Petroleum and Minerals

Om Prakash

Birla Institute of Technology, Mesra

Khesarubini Selvarajoo

Universiti Tenaga Nasional

Abhinav Kumar

Ural Federal University

Ankammarao Padamurthy

AAA College of Engineering and Technology

Rustem Zairov

Kazan Federal University

Noureddine Elboughdiri

University of Ha'il

Cooperative Institutions

Birla Institute of Technology, Mesra

Universiti Tenaga Nasional

AAA College of Engineering and Technology

Birla Institute of Technology and Science, Pilani

Birla Institute of Technology and Science - Hyderabad Campus

National Institute Of Technology Silchar

Marwadi University

Usha Martin (India)

Shri Venkateshwara University

McMaster University

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Solar Drying for Domestic and Industrial Applications: A Comprehensive Review of Innovations and Efficiency Enhancements

Global Challenges (2025)

Md Atiqur Rahman S M Mozammil Hasnain Prabhu Paramasivam Rustem Zairov Abinet Gosaye Ayanie

Global challenges such as energy scarcity and food security are intensified by a growing population and substantial post-harvest food losses, contributing to alarming hunger levels. Solar drying is recognized as an effective, high-quality, and sustainable method for food preservation, significantly aiding global food security. Dryers are essential in agriculture and the food industry for extending crop shelf life by removing moisture through thermal energy, with solar thermal energy being particularly suitable due to its environmental benefits and availability. This article reviews the classification of solar dryers, including direct (DSD), indirect (ISD), and hybrid (HSD) systems, examining key components like solar collectors, drying chambers, and auxiliary systems and the factors affecting their performance. The review highlights that the efficiency of solar dryers depends on dryer type, solar irradiation, drying duration, and operational conditions. Recent advancements to enhance solar dryers' energy efficiency include hybrid systems incorporating auxiliary heating sources (electric or biomass), solar-assisted heat pump dryers, surface modification techniques, and heat storage systems utilizing sensible and latent heat storage. Findings suggest that HSD with auxiliary units can achieve up to 54% efficiencies, while solar collectors can reach up to 81%, yielding better product quality than traditional ones.

Solar dryer

10.1002/gch2.202400301

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Emerging Trends and Future Prospects of Thermochemical Energy Storage Systems for Building Space and Water Heating Applications

International Journal of Energy Research (2025)

Ankammarao Padamurthy Praveen Kumar Gandla Amar Sheelwant Harinadh Vemanaboina Prabhu Paramasivam

The thermal energy storage (TES) technology has gained so much popularity in recent years as a practical way to close the energy supply–demand gap. Due to its higher energy storage density and long‐term storage, thermochemical energy storage (TCES), one of the TES methods currently in use, seems to be a promising one. These potential advantages have triggered to undertake a decent amount of research investigations in the past few years. The present review paper summarizes the recent outcomes of TCES systems for building water and space heating applications and demonstrates the different kinds of systems and their configuration arrangements. The recently developed experimental as well as theoretical prototypes are looked over with respect to their arrangement (closed and open loop) and role of relevant operating conditions. Various kinds of reactor shapes are also summarized and presented. Critical issues like materials’ achievable heat storage density/capacity, stability/cyclability, charging temperature, and systems’ mass and heat transfer properties are discussed. This work also presents the current challenges and the possible suggestions to address them. This review suggests that additional research is necessary to determine the role of influencing parameters in the design and establishment of TCES prototypes for building’s water and space heating applications.

Water heating

10.1155/er/6685290

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Energy-exergy and environ-economic (4E) analysis of heat storage-based single-slope solar stills integrated with solar air heater

PLoS ONE (2025)

Sujit Kumar Asim Ahmad Kashif Irshad Om Prakash Rukaiya Kausher

The energy-exergy and environ-economic (4E) analysis was conducted on a solar still with and without a hybrid thermal energy storage system (TESS) and a solar air heater. The proposed solar still was modified by integrating a rectangular aluminium box filled with paraffin wax and black gravel as the TESS and coupled with a solar air heater. Paraffin wax was selected due to its widespread availability and proven effectiveness in accelerating desalination, improving process uniformity, and maintaining optimal temperature levels. Throughout the experiments, meticulous data on mass loss, air velocity, and temperature were recorded for both conditions. The daily energy efficiency varies from 40.80% to 31.72%, showing a reduction rate with increased water depth. Estimates were made on the average exergy efficiency, losses, outflow, and inflow for the solar still. These were done for both setups. The analysis revealed that CO 2 mitigation and credit were more favorable with the TESS. Furthermore, the Energy Payback Time (EPBT) for the hybrid heat storage-based single-slope solar still coupled with a solar air heater is 1.87 years. On the other hand, EPBT values for the hybrid heat storage single-slope solar still and the conventional single-slope solar still were 1.65 years and 0.95 years, respectively. Integrating a thermal energy storage system and solar air heater significantly improved the performance and sustainability of the solar still for desalination, making it a more efficient and environmentally friendly option for freshwater production.

10.1371/journal.pone.0314036

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Effect of Wall, Roof, and Window‐to‐Wall Ratio on the Cooling and Heating Load of a Building in India

Energy Science & Engineering (2025)

Asim Ahmad Om Prakash Lakhbir Singh Brar Kashif Irshad S M Mozammil Hasnain

ABSTRACT This study examines the impact of various combinations of walls, roofs, and window‐to‐wall ratios (WWRs) on the cooling and heating loads of residential buildings in India's composite climatic zone. Utilizing EnergyPlus and eQuest simulations, the thermal performance of three building types is analyzed across 32 cases involving two types of walls (W1, W2), roofs (R1, R2), and WWRs of 10%, 20%, 30%, and 40%. The results indicate that Case 29 (W2 R2 N2 WWR1), characterized by a north‐facing orientation, square‐shaped design, and a 10% WWR, achieves the lowest cooling and heating loads among all configurations. Specifically, in Building 1, this configuration reduces cooling loads by 26.0% (from 204 to 151 kBTU/h) and heating loads by 28.6% (from 224 to 160 kBTU/h) compared to the highest load scenario, Case 4 (W1 R1 N1 WWR4, west‐facing orientation, square‐shaped design, and 40% WWR). Similar trends are observed for Buildings 2 and 3. These findings underscore the critical role of optimizing building envelope parameters, particularly orientation, shape, and WWR, in achieving significant energy savings. The insights provided by this study can aid architects, engineers, and policymakers in designing energy‐efficient residential buildings.

Cooling load

Envelope (radar)

Building envelope

Square (algebra)

Low-rise

10.1002/ese3.2066

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Cooling performance of 18650 lithium-ion battery module using Al2O3-GO hybrid and mono nanofluids: A numerical study with experimental validation

Case Studies in Thermal Engineering (2025)

Khesarubini Selvarajoo V. Vicki Wanatasanappan Y.L. Ng Abhinav Kumar Prabhu Paramasivam

10.1016/j.csite.2025.105842

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Advancing thermal management in electronics: a review of innovative heat sink designs and optimization techniques

RSC Advances (2024)

Md Atiqur Rahman S M Mozammil Hasnain Prabhu Paramasivam Abinet Gosaye Ayanie

The ongoing trend towards miniaturizing electronic devices and increasing their power densities has created substantial challenges in managing the heat they produce.

Power Electronics

Sink (geography)

10.1039/d4ra05845c

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Comprehensive Investigations on Split Injection System Using Diesel/Biodiesel Blends Powered Common Rail Direct Injection Engine: Multi‐Objective Optimization

Energy Science & Engineering (2025)

Gowthaman Saba Prabhu Paramasivam Thangavel Kandasamy Anu Karthi Swaghatha Hasan Sh. Majdi

ABSTRACT A combined effect of injection pressure (IP) and split injection mechanism (SIM) on performance, combustion, and emission characteristics of a CRDI engine operated with diesel‐lemongrass biodiesel (LGB20) blend was analyzed and optimized the IP from the experimental results using RSM and ANOVA. The CRDI engine was tested under SIM conditions at various injection pressures (IPs) of 200, 300, 400, 500, and 600 bar, with limitations observed concerning specific engine characteristics. The SIM is accomplished by splitting the injection into two phases during the compression stroke. It was noted that the engine characteristics were improved concerning IPs in SIM by minimizing the intensity of heterogeneity of the mixture. The CRDI engine with 600 bar pressure registered higher in‐cylinder pressure, heat release rate, and brake thermal efficiency (BTE) with lower specific fuel consumption (SFC) when compared to the engine operated with other IPs. It also registered lower exhaust pollutants except oxides of nitrogen (NOx) and carbon dioxides (CO 2 ) due to better combustion at 600 bar pressure. The CRDI engine was operated efficiently at 64.61% load with 600 bar IP and recorded engine parameters as 29.94% of BTE, 0.373 kg/kWh of SFC, 0.64% of CO, 4.55% of CO 2 , 244 ppm of NOx, 37.2 ppm of HC, and 64.58 HSU of smoke emissions. This study concluded that 600 bar IP is the optimum for better engine characteristics of CRDI engines operated with LGB20 fuel.

Common rail

10.1002/ese3.2087

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ANN-ANFIS model for optimising methylic composite biodiesel from neem and castor oil and predicting emissions of the biodiesel blend

Scientific Reports (2025)

Chao-zhe Zhu Olusegun David Samuel Amin Taheri‐Garavand Noureddine Elboughdiri Prabhu Paramasivam

Abstract Researchers and stakeholders have shown interest in heterogeneous composite biodiesel (HCB) due to its enhanced fuel properties and environmental friendliness (EF). The lack of high viscosity datasets for parent hybrid oils has hindered their commercialisation. Reliable models are lacking to optimise the transesterification parameters for developing HCB, and the scarcity of predictive models has affected climate researchers and environmental experts. In this study, basic fuel properties were analysed, and models were developed models for the yield of HCB and kinematic viscosity (KV) for composite biodiesel/neem castor seed oil methyl ester (NCSOME) using Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS). Statistical indices such as computed coefficient of determination (R 2 ), root-mean-square-error (RMSE), standard error of prediction (SEP), mean average error (MAE), and average absolute deviation (AAD) were used to evaluate the effectiveness of the techniques. Emission models for NCSOME-diesel blends were also established. The study investigated the impact of optimised fuel types/NCSOME-diesel (10–30 vol%), ZnO nanoparticle dosage (400–800 ppm), engine speed (1100–1700 rpm), and engine load (10–30%) on emission characteristics and environmental friendliness indices (EFI) such as carbon monoxide (CO), Oxides of Nitrogen (NOx), and Unburnt Hydrocarbon (UHC) using Response Surface Methodology (RSM). The ANFIS model demonstrated superior performance in terms of R 2 , RMSE, SEP, MAE, and AAD compared to the ANN model in predicting yield and KV of HCB. The optimal emission levels for CO (49.26 ppm), NO x (0.5171 ppm), and UHC (2.783) were achieved with a fuel type of 23.4%, nanoparticle dosage of 685.432 ppm, engine speed of 1329.2 rpm, and engine load of 10% to ensure cleaner EFI. The hybrid ANFIS and ANN models can effectively predict and model fuel-related characteristics and improve the HCB process, while the RSM model can be a valuable tool for climate and environmental stakeholders in accurate forecasting and promoting a cleaner environment. The valuable datasets can also provide reliable information for strategic planning in the biodiesel and automotive industries.

10.1038/s41598-025-88901-9

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