Digital Commons Network^™

Thermophysical Characteristics Evaluation Of Carbon And Metal Oxide-Based Hybrid Phase Change Materials For Thermal Energy Storage Applications, Utpol K. Paul, Md Shahriar Mohtasim, Md Golam Kibria, Barun K. Das

Research outputs 2022 to 2026

Phase change materials (PCM) have limited practical applications due to their low heat conductivity. The main goal of this work is to improve the thermophysical properties of PCM by adding different compositions of hybrid carbon and metal oxide-based nanoparticles for incorporation into hybrid photovoltaic/thermal solar systems to accommodate the built environment and thermal energy storage as a building envelope for thermal comfort. Three types of nanoparticles have been selected including Graphene, Al2O3, and ZnO and synthesized samples with the combinations of 0.5 wt% Al2O3 + 2 wt% ZnO, 0.75 wt% Al2O3 + 2 wt% ZnO, 1 wt% Al2O3 + 2 …

Bridg-Ics: Ai-Grounded Knowledge Graphs For Intelligent Threat Analytics In Industry 5.0 Cyber-Physical Systems, Padmeswari Nandiya, Ahmad Mohsin, Ahmed Ibrahim, Iqbal H. Sarker, Helge Janicke

Research outputs 2022 to 2026

Industry 5.0’s increasing integration of IT and OT systems is transforming industrial operations but also expanding the cyber–physical attack surface. Industrial Control Systems (ICS) face escalating security challenges as traditional siloed defenses fail to provide coherent, cross-domain threat insights. We present BRIDG-ICS (BRIDge for Industrial Control Systems), an AI-enriched Knowledge Graph (KG) framework for context-aware threat analysis and quantitative assessment of cyber resilience in smart manufacturing environments. BRIDG-ICS fuses heterogeneous industrial and cybersecurity data into an integrated Industrial Security Knowledge Graph linking assets, vulnerabilities, and adversarial behaviors with probabilistic risk metrics (e.g., exploit likelihood, attack cost). This unified graph representation …

Dataset For Integrity Attacks On Time Synchronized Synchrophasor Data, Taylah Griffiths, Mohiuddin Ahmed, Chadni Islam

Research outputs 2022 to 2026

Phasor measurement units, also known as synchrophasors, are a vital component within smart grids to determine the stability of the grid. These devices send synchrophasor data to phasor data concentrators that collate and analyse the data. Recently, synchrophasor communication data has become beneficial for the research community. However, datasets covering cyberattacks on synchrophasor data are not public. Having access to this data would aid in investigating mitigations against cyberattacks. This paper describes a public specialized dataset, known as ECU-PMU-FDI/TSA. The dataset contains synchrophasor communication data for cybersecurity mitigation testing. Three hours of communication data was captured, from a simulated testbed. …

Progression Of Non-Radiographic To Radiographic Axial Spondyloarthritis: A Risk Model Based On A Chinese Cohort Study, Rui Ying Deng, Xiaojia Xu, Jian Hua Peng, Feng Cai Shen, Yao Gong, Dan Min Wang, Hong Jin Liang, Shu Xin Huang, Zhao Peng Chen, Wen Long Wu, Ze Xin Zheng, Ling Lin, Zhi Duo Hou

Research outputs 2022 to 2026

Objectives: To evaluate the progression from non-radiographic axial spondyloarthritis (nr-axSpA) to radiographic axial spondyloarthritis (r-axSpA) in a Chinese cohort, identify associated risk factors in both clinical and imaging arms, and enable risk stratification based on these factors. Methods: Overall, 572 patients with nr-axSpA were enrolled with a median follow-up of 5 years. Cox proportional hazard regression analyses were conducted to identify potential risk factors associated with the progression from nr-axSpA to r-axSpA in both clinical and imaging arms. A risk-scoring system was then developed by assigning each independent predictor a weight based on its regression coefficient. Patients were subsequently categorized …

Cardiovascular Disease And Fracture Risk In People With Type 2 Diabetes: A Nationwide Matched Case–Control Study, Aksayan Arunanthy Mahalingasivam, Annika Vestergaard Kvist, Joop P. Van Den Bergh, Cassandra Smith, Joshua R. Lewis, Peter Vestergaard, Nicklas Højgaard Hessellund Rasmussen

Research outputs 2022 to 2026

To examine, among people with type 2 diabetes (T2D), whether cardiovascular disease (CVD) phenotypes and cardiovascular medications are associated with any fracture as the primary outcome and major osteoporotic fracture (MOF) as a secondary outcome. Nationwide registry-based matched case–control study in Denmark (2013–2021) among people with T2D. Cases were individuals with T2D who sustained an incident fracture (n = 12,390), and controls were fracture-free individuals with T2D matched 1:3 by age, sex, T2D onset date, and weighted Charlson Comorbidity Index (n = 37,170). The exposures were overall CVD, prespecified clinical CVD phenotypes (acute myocardial infarction (AMI), stroke, heart failure, atrial …

Genetic Drivers Of Progression In Alzheimer’S Disease Are Distinct From Disease Risk, Celeste E. Cohen, Shane Fernandez, Umran Yaman, Ahmad R. Ehyaei, Eleftheria Kodosaki, Aydan Askarova, Tenielle Porter, Eleanor O’Brien, Paul Maruff, Alexi Nott, John A. Hardy, Simon M. Laws, Dervis A. Salih, Maryam Shoai

Research outputs 2022 to 2026

Background: Recent trials in Alzheimer’s disease (AD) demonstrate encouraging outcomes. These trials target risk mechanisms identified through genetic analysis whilst directly aiming to reduce progression rates. Evidence from other neurodegenerative diseases suggests the genetics of progression is distinct from risk of disease. To expand these initial successes and improve clinical outcomes further we need to understand genetics of progression of disease. These can be deduced through rigorous analysis of meticulously phenotyped longitudinal cohorts. In this study we first looked at known genetic drivers of risk, namely polygenic risk scores for AD and APOE‑ε4, to assess their role in progression. This …

Methylated Cfdna May Distinguish Between High- And Intermediate-Risk Uveal Melanoma: A Pilot Study, Mike Wu, Daniël P. De Bruyn, Ruben G. Boers, Aaron B. Beasley, Daan M. Hazelaar, Stavros Makrodimitris, Joachim B. Boers, Jolanda Vaarwater, Ronald O.B. De Keizer, Robert M. Verdijk, Nicole C. Naus, Dion Paridaens, Saskia M. Wilting, Elin S. Gray, Wilfred F.J. Van Ijcken, Joost Gribnau, Annelies De Klein, Erwin Brosens, Emine Kiliç

Research outputs 2022 to 2026

Background: Uveal melanoma (UM) is a highly aggressive malignancy with a metastatic risk that depends on the molecular subclass. This subclass can be determined through molecular characterization of tumor-derived tissue. With eye-sparing treatments, tumor tissue is rarely available for molecular testing. We hypothesized that minimal invasive biomarkers such as methylated cell-free DNA (cfDNA) or circulating tumor DNA (ctDNA) can be used for prognosis and monitoring of patients. Methods: Plasma cfDNA was isolated from healthy blood donors (HBDs, N = 19) and UM patients (N = 22). Plasma was collected at baseline (localized disease, N = 13) and during follow-up (metastatic …

Application Of The Paediatric Medical Traumatic Stress Model To The Mental Health Experience Of Young People Living With Type 1 Diabetes: A Qualitative Study, Rigel Paciente, Sara Coombs, Karen Lombardi, Helen Milroy, Keely Bebbington, Heather Roby, Craig E. Taplin, Nicole Wickens, Stella Rose, Alix Woolard

Research outputs 2022 to 2026

Despite the various traumatic events that a young person living with type 1 diabetes (T1D) may experience, little is known about the burden and manifestation of traumatic stress in this population. Though mental health outcomes have been explored generally, medical trauma-sensitive approaches to understanding these experiences remain limited. We utilised a qualitative descriptive approach to explore the impact of T1D on young people’s mental health through the paediatric medical traumatic stress model (PMTS). Young people aged 13–30 living with T1D were interviewed. These interviews were recorded, transcribed, and analysed using Reflexive Thematic Analysis. Three main themes were generated: (1) perceived …

Body Composition And Muscle Health Changes After Providing Vascular Imaging Results In Older Adults: Secondary Analysis Of A Randomised Controlled Trial, Jack Dalla Via, Simone Radavelli-Bagatini, Marc Sim, Abadi K. Gebre, Catherine P. Bondonno, Kun Zhu, Shelby Mullin, John T. Schousboe, Richard J. Woodman, Markus P. Schlaich, Moira Sim, Pawel Szulc, Douglas P. Kiel, Wai H. Lim, Robin M. Daly, Jonathan M. Hodgson, Joshua R. Lewis

Research outputs 2022 to 2026

Background: Provision of vascular imaging results has been investigated to prompt changes towards healthy lifestyle behaviours, but effects on body composition and muscle health are unknown. Aim: This secondary analysis of a 12-week parallel-group randomised controlled trial (RCT) aims to explore body composition and muscle health effects of providing healthy lifestyle education (Ed) with and without abdominal aortic calcification (AAC) results. Methods: A total of 240 Australian community-dwelling older men and women (mean ± SD age 68 ± 5 years; 58% female; 57.1% with evidence of AAC) were randomised to AAC + Ed (n = 121) or Control + Ed …

Over A Century Of Global Decline In The Growth Performance Of Marine Fishes, Helen F. Yan, Hannah V. Watkins, Alexandre C. Siqueira, David R. Bellwood

Research outputs 2022 to 2026

Human-driven pressures are causing large-scale changes in the ecologies and life histories of fishes. Growth performance is a composite life-history trait that captures the trade-off between two fundamental traits: growth and body size. Here, we assess the impacts of fishing and temperature on the growth performance of marine teleost fishes globally over the last century. Using 7683 growth curves encompassing 1479 species, we find a global pattern of decline in growth performance from 1908 onwards, with the greatest declines in commercially valuable fishes. Indeed, managed fisheries experienced a 9% decline in growth performance over the last century, which can equate …

Adding A Weight To Constrain The Trunk Increases Knee Joint Kinetics During Sidestep Cutting In Female Athletes, Daniel Kadlec, J. Jordan, Jacqueline Alderson, Sophia Nimphius

Research outputs 2022 to 2026

Sidestep cutting exposes the knee to high multiplanar loads that both challenge tissue capacity and provide an opportunity to develop resilience through progressive exposure. This study investigated task constraints applied at the trunk and preparatory step and changes in lower-body joint kinetics associated with ACL injury risk during sidestepping in female athletes. Twenty-one trained female athletes performed six sidestep conditions: pre-planned and unplanned sidesteps, each with and without trunk (holding ~ 5–7.5% body mass at chest level) and preparatory-step (ducking under an adjustable rope at eye height) constraints. Relative joint power at the hip, knee, and ankle was analysed using …

Unpacking Environmental Racism Through Dependency Theory In The Case Of Second-Hand Goods Export To West Africa, Prince Nii Koi Kotei, Adusei-Asante, Shajimon Peter, Portia Nana Ama Brempong

Research outputs 2022 to 2026

The second-hand goods export market is complex and inextricably intertwined with environmental racism and dependency theories. Studies have shown that the adverse impacts of second-hand goods exports outweigh their benefits. West African countries are marginalised and are trapped in a dependency cycle. The literature discusses secondhand goods exports; however, it rarely situates this within the context of the dependency theory and environmental racism. This study seeks to address this gap by integrating several studies under a common theoretical framework connecting dependency theory to environmental racism. This study unpacks environmental racism through dependency theory in the export of second-hand goods. Specifically, …

Aluminium Based Hydrotalcite Like Compounds For Direct Lithium Extraction: A Critical Review On Crystallography And Structure Selectivity Design, Amin Sarmadi, Yasaman Boroumand, Mohammad Mahdi A. Shirazi, Magdalena Wajrak, Shayan Abrishami, Matthew Myers, Muhammad Rizwan Azhar, Amir Razmjou

Research outputs 2022 to 2026

The accelerating demand for lithium is intensifying interest in direct lithium extraction (DLE) technologies that minimise the environmental footprint of conventional solar evaporation ponds. Among sorbent-based DLE concepts, aluminium based hydrotalcite like compounds (Al-HTlc), particularly lithium aluminium layered double hydroxide (LiAl-LDH), are considered the most mature sorbent options, offering facile lithium (Li+) recovery and high selectivity in highly saline chloride based solutions. Both properties arise from a distinct intercalation mechanism wherein Li+ and its counter-anions (e.g. Cl− or SO42−) are co-intercalated into the crystal structure upon brine exposure. Li+ selectivity arises partly from a steric match between Li+ (ionic radius …

Chlorinated Drinking Water Exposure Enriches Antimicrobial Resistance Pathways In The Infant Gut Microbiome: A Randomized Trial, Kimberley Parkin, Claus T. Christophersen, Valerie Verhasselt, Debra J. Palmer, Matthew N. Cooper, Susan L. Prescott, Desiree Silva, David Martino

Research outputs 2022 to 2026

Background: Water chlorination is essential for controlling harmful microbes in drinking water; however, the antimicrobial effects of chlorine-based disinfectants present in tap water may influence early-life gut microbial ecology.

Objective: To investigate the functional and compositional impact of chlorinated drinking water on the gut microbiome of infants.

Design: The waTer qUality and Microbiome Study (TUMS) was an Australian-based double-blinded, randomised controlled trial. Six-month-old infants (n = 197) received either de-chlorinated drinking water via benchtop filtration (treatment, n = 99), or regular chlorinated water (control, n = 98) for twelve months. Tap water and stool samples were collected at baseline and …

Lessons Learned From A Randomised Controlled Trial Of A Digital Intervention Targeting Eating Disorder Symptoms In Cisgender Sexual Minoritized Men, Emma Austen, Matthew Fuller-Tyszkiewicz, Siân A. Mclean, Beth O’Gorman, Katie Bishop, Hannah K. Jarman, Susan J. Paxton, Rachel F. Rodgers, An Dang, Emily A. Harris, Felicity Angelopoulos, Wesley Grey, Suku Sukunesan, Alexandra Parker, Adrian Shatte, Long Khanh-Dao Le, Scott Griffiths

Research outputs 2022 to 2026

Background: There is an unmet need for evidence-based and accessible interventions designed to treat eating disorders in sexual minoritized men, given their heightened vulnerability to developing disordered eating. Digital interventions are a promising avenue for eating disorder treatment because of their accessibility and flexibility in delivery. Here, we present a randomised controlled trial of Seed, a 10-week treatment-focussed digital intervention for eating disorders, among sexual minoritized men.

Methods: Participants (N = 126 sexual minoritized men) with a binge-spectrum eating disorder diagnosis (e.g., bulimia nervosa, binge-eating disorder) were randomly allocated to one of three conditions: (1) a waitlist control (2) a …

The Relationship Between Dietary Sodium Intake And Cognitive Function: A Narrative Review, Samantha L. Gardener, M. Fu, L. Morini, T. Schwartzkopff, G. Savage, R. N. Martins, S. R. Rainey-Smith

Research outputs 2022 to 2026

Purpose of Review: This narrative review provides discussion on current evidence regarding the relationship between sodium intake and cognitive function in animal and human studies, as well as potential mechanisms underlying this relationship. Recent Findings: Recent evidence suggests high sodium intake is associated with development of cognitive impairment and neural dysfunction. Additionally, studies have proposed that high sodium intake is associated with increased aggregation of Aβ-amyloid and that hypertension (for which high sodium intake is a risk factor) modulates the relationship between Aβ-amyloid and development of cognitive impairment and Alzheimer’s disease. However, while animal studies demonstrate a consistent relationship between …

Switching Configurations For Reconfigurable Battery Packs: A Review, Kenneth Tetteh Akiti, Quoc Viet Phung, Iftekhar Ahmad, Daryoush Habibi

Research outputs 2022 to 2026

Conventional Battery Energy Storage Systems (BESS) are designed with fixed cell topologies, where the electrical connection between cells remains unchanged throughout their life. Although Battery Management Systems (BMS) and conventional cell-balancing techniques are employed to monitor and maintain performance, they often fail to address key challenges such as uneven cell aging, capacity mismatch, and fault isolation that arise especially during the second life of a battery pack. These limitations can result in reduced efficiency, reduced reliability, and shortened battery life. As large-scale battery packs become increasingly common in Electric Vehicles (EVs), smart grids, robotics, and renewable energy systems, the limitations …

Lithium Titanate-Functionalized Mixed Matrix Polymer Membrane For High-Performance Osmotic Energy Conversion, Rockson Kwesi Tonnah, Yasaman Boroumand, Milad Razbin, Mostafa Vahdani, Amir Razmjou, Mohsen Asadnia

Research outputs 2022 to 2026

Reverse electrodialysis (RED) offers a promising route to harvest osmotic energy from salinity gradients, yet practical implementation is hindered by the lack of scalable, high-performance ion-selective membranes that combine efficient ion transport with mechanical robustness and environmental sustainability. Here, we report a mixed matrix membrane composed of polyethersulfone (PES), polyvinylpyrrolidone (PVP), and lithium titanium oxide (Li₂TiO₃, LTO) that addresses these challenges through biomimetic ion transport channels. The strategic integration of LTO nanoparticles introduces ion-exchange sites and oxygen-rich PES ether linkages to create preferential cation transport pathways that mimic biological ion channels. This mixed matrix design delivers over three-fold cation conduction, …

Application Of Artificial Intelligence (Ai) In Cancer Symptom Management For Adult Cancer Survivors: A Scoping Review, Tao Wang, Haiying Wang, Mengyuan Li, Daniel Bressington, Daniel Terry, Guanjin Wang, Wai Hang Kwok, Jing Yu (Benjamin) Tan

Research outputs 2022 to 2026

Background and aim: Artificial Intelligence (AI) has been increasingly used in cancer survivorship to support symptom management. This scoping review aimed to map existing evidence on AI applications in cancer symptom management for adult cancer survivors, including AI model development, AI-enabled intervention delivery and adoption, symptom targets, key features of the AI approaches used, reported outcomes, influencing factors, and research gaps to inform future priorities.

Method: This scoping review was conducted in accordance with the Joanna Briggs Institute methodology for scoping reviews. Eight electronic databases were comprehensively searched in November 2025 and updated in March 2026. Empirical studies published in …

Values, Flourishing, And Identity Integration: Understanding Alcohol And Other Drug Use Among African Australian Youth, Abraham Kenin, Justine Dandy, Kwadwo Adusei-Asante, Sonam Pelden

Research outputs 2022 to 2026

Previous research suggests Alcohol and Other Drug (AOD) use by sub-Saharan African (SSA) youth who emigrate to Western cultural contexts like Australia is an indication of their acculturation and is influenced by their values. Although values are distal predictors of AOD use, the extent to which SSA Australian youth apply their values in AOD use could be a function of their psychological flourishing and Bicultural Identity Integration (BII). The aim of this study was to test a predictive model that combines values, psychological flourishing and BII to explore how the interaction of personal values and adaptive resources are related to …

The Unacknowledged Challenge Of Moral Distress For Nurse Academics, Adam Burston, Glenna Mae Guiriba, Meena Gupta, Sara Bayes

Research outputs 2022 to 2026

The pluralistic nature of healthcare presents nurses with situations challenging their moral values which nurses must navigate. Challenges to moral values can result in the experience of moral distress, a problem that is common within the clinical nursing context. Moral distress is a known and well-researched phenomenon within nursing and has long contributed to detrimental effects such as frustration, anger, anxiety, decreased job satisfaction, burnout and ultimately attrition. However, despite extensive research in clinical environments, minimal research exists detailing this concept within the context of nursing academics and educators. Nurses can experience moral distress if they are in or exposed …

The Value Of Pilot And Feasibility Studies In Nursing Education Research: A Worked Example, Dhanya Anand Anil Kumar, Natasya Raja Azlan, Hugh Davies, Chandra P. Salgado Kent, Debbie Massey, Karen Strickland

Research outputs 2022 to 2026

Background: Feasibility studies play a critical role in determining whether clinical or educational interventions can be implemented as intended before progressing to large-scale trials. In nursing education, many innovative teaching strategies, particularly complex interventions such as simulation-based learning, are often advanced directly to full trials without first establishing feasibility. This premature progression creates recruitment, acceptability, fidelity, and protocol adherence challenges, which may compromise study quality and valuable resources. This paper addresses this gap by clarifying the purpose and value of feasibility studies in nursing education research and outlining key considerations for designing an early-stage feasibility study that aligns with contemporary …

Glomalin-Related Soil Protein In Colluvial Soils As A Proxy For Reconstructing Millenary Changes In Landscape And Soil Health, Axel Werner, Lourdes López-Merino, Joeri Kaal, Cruz Ferro-Vázquez, Oscar Serrano

Research outputs 2022 to 2026

Glomalin-related soil protein (GRSP) is an operationally defined soil organic matter pool that includes a heat shock protein linked to arbuscular mycorrhizal fungi (AMF) living in symbiosis with most vascular plants and plays a key role in soil health. However, the potential of GRSP as a palaeoecological proxy remains unexplored. We analysed the GRSP content in a North-western Iberian colluvial soil profile encompassing the last 14,000 years. We aimed to 1) identify whether GRSP is preserved, and 2) investigate whether GRSP could be used as a palaeoecological proxy after comparing its record with palynological and pedoanthracological records that account for …

Decision Delegation To Genai Agents In Travel Planning: Responsible Ai Signals, Delegation Levels, And The Transparency Paradox, Sanjit K. Roy, Gaganpreet Singh, S. Mostafa Rasoolimanesh, Ronnie Das, Ali N. Tehrani

Research outputs 2022 to 2026

Generative Artificial Intelligence (GenAI) is becoming an integral part of travel planning. This fundamental transformation is changing the definition of travel decision delegation, calling for fresh research into responsible AI in tourism. Drawing on agency theory, trust theory and decision delegation framework, this study conceptualises five responsible AI characteristics (reliability, fairness, trustworthiness, accountability, transparency) as evaluative signals for travellers to assess GenAI across three decision delegation levels, i.e., attribute set, choice set, and final decision. Using a multi-method approach, we analyse data collected from 421 travellers. Findings suggest that reliability and accountability are consistent drivers of delegation across all levels, …

Listening As Method: She Speaks And The Case For Podcasting As A Feminist Research Methodology In Women's Non-Medicalised Self-Care, Narelle Lemon

Research outputs 2022 to 2026

Women's non-medicalised self-care — the everyday, relational practices through which women tend to themselves — remains largely illegible to conventional health research methods. This article argues that podcasting constitutes a feminist research methodology rather than a supplementary dissemination tool and makes the case for its adoption in qualitative health research on women's wellbeing. The argument develops through an extended case study of She Speaks , an Australian podcast series produced by the author across four seasons and sixty-two episodes. Situated within arts-based research and feminist methodological traditions, the study treats the podcast itself as the research vehicle: a site where …

Keyframe Selection From Motion Capture Data With Dual-Agent Reinforcement Learning, Kun Hu, Wang, Clinton Mo, Mingyang Ma, Shaohui Mei, Zebin Chen, Zhiyong Wang

Research outputs 2022 to 2026

Animation production workflows centered around motion capture techniques require animators to edit motions based on a set of keyframes. However, most existing keyframe selection methods are optimization-based, which suffer from the issues of flexibility and efficiency. In this paper, a novel deep reinforcement learning method with dual agents are proposed for unsupervised keyframe selection. First, an S-Agent and an R-Agent evaluate the actions of selection and refinement, respectively. A deep spatio-temporal network, namely graph keyframe evaluation network (GKEN), is proposed for the agents. Then, an animation specified reward is devised based on reconstruction, which fulfills three important properties of the …

Electrochemical Behavior Of Passive Film On Electron Beam Powder Bed Fusion Fabricated Ti-6al-4v Alloy Under Uniaxial Tensile Stress, Hongyu Zheng, Mengdi Yan, Yun Bai, Qian Wang, Lai-Chang Zhang, Jin Xu, Hao Wang, Yingjie Ma, Shujun Li, Rui Yang

Research outputs 2022 to 2026

As medical titanium alloys inevitably undergo synergistic actions of stress and corrosion in human body, a comprehensive investigation of their relevant properties is deemed essential for ensuring their safe application. This work investigates the uniaxial tensile stress electrochemical behaviour of Ti-6Al-4V alloy fabricated by electron beam powder bed fusion under simulated implantation conditions. The results indicate that tensile stress facilitates rapid formation of a dense passive film, which contains a high proportion of high-valent oxides. As the passivation process proceeds, applied stress promotes more defects accumulation in the passive film, compromising its barrier function and reducing corrosion resistance. Under sustained …

Adaptive Improved Particle Swarm Optimization-Based Maximum Power Point Tracking And Energy Smoothing For Photovoltaic Hybrid Battery–Supercapacitor Storage Systems, Mohammad Aminul Islam, Guo Shaokai, Jakaria Mahdi Imam, Mohammad Khairul Basher, Nowshad Amin, Tarek Abedin, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

The rapid development of photovoltaic (PV) systems has made them an important component of the global clean energy strategy. However, the intermittency and non-linear characteristics of photovoltaic (PV) output remain major challenges for stable renewable energy utilization. This study proposes an adaptive improved particle swarm optimization (IPSO)-based maximum power point tracking (MPPT) strategy integrated with hybrid energy storage coordination for photovoltaic systems. The IPSO introduces adaptive inertia adjustment, velocity clamping, and stagnation reinitialization, which improve the convergence robustness under dynamic irradiance and temperature conditions. The algorithm was benchmarked against Perturb & Observe (P&O), Incremental Conductance (INC), and standard PSO using …

Integrated Multigeneration System Utilizing Industrial Gas Engine Waste Heat For Power, Oxygen, Hydrogen Generation, And Process Heat Supply: A Thermodynamic, Exergo-Economic, And Environmental Analysis, Md Musfiqur Rahman, Md Shahriar Mohtasim, Barun K. Das

Research outputs 2022 to 2026

Integrating waste heat recovery units into industrial energy infrastructure provides a sustainable solution by reducing reliance on fossil fuels and improving substantial plant efficiency. Recent studies have addressed this issue using Brayton, Rankine, organic Rankine, thermoelectric, and electrolysis-assisted waste heat recovery systems for power, heat, hydrogen, or other useful outputs. However, many configurations recover exhaust gas and jacket water heat separately, focus mainly on electricity, and provide limited source-to-sink matching for industrial steam, process heat, oxygen demand, cost, and environmental performance. This study proposes a source-to-sink matched multigeneration system for a 10 MW Wärtsilä 20V34SG gas engine, where each waste …

Green Lithium Extraction From Alkaline Brines Using A Dibenzoylmethane Octanol System, Maryam Gonbadi, Shayan Abrishami, Ozra Gholipour, Ana Vafadar, Amir Razmjou

Research outputs 2022 to 2026

The escalating global demand for lithium necessitates the development of efficient, selective, and environmentally sustainable extraction technologies from brine resources. This study presents a novel solvent extraction system employing dibenzoylmethane (DBM) as a lithium-selective β-diketone chelating extractant and 1-octanol as a biodegradable diluent for lithium recovery from alkaline salt lake brines. The effects of critical process parameters, including aqueous phase pH, extractant concentration, and total dissolved solids (TDS), on lithium extraction efficiency and selectivity were systematically investigated. Under optimized conditions (pH 12, 0.3 M DBM in 1-octanol), the system achieved a single-stage lithium extraction efficiency of 80.8% with exceptional separation …