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879 articles for “energy efficiency”
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Machine Learning for Finding Materials for Membranes
Abstract: Traditionally, finding and improving membrane materials has depended on trial-and-error experiments, which can take a long time, cost a lot of money, and only cover a small area. Recent improvements in machine learning (ML) have the potential to change the way membrane materials are designed by making it possible to make predictions about performance, selectivity, and stability based on data. ML algorithms can find hidden links between the structure, composition, …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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Advance Mineral Practices Techniques
Abstract: In recent years, the field of mineral processing has witnessed significant advancements aimed at improving the efficiency, sustainability, and economic viability of mineral extraction and processing techniques. These advancements encompass a broad spectrum of practices, from ore sorting and comminution to flotation and tailings management. This paper reviews the latest innovations in mineral processing, focusing on key areas such as: Ore Sorting and Pre-Concentration: Implementation of sensor-based sorting technologies that …
Published in International Journal of Minerals · Vol. 1, Issue 1, 2024 · pp. 16–22 Read article
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Improved Marine Wind Farm Layout
Abstract: This work proposes a new marine wind farm layout. The new configuration is based on the hybridization of alternating lift-force and drag-force wind turbines. Lift-force wind turbines are characterized by a high output power and large dimensions, while drag-force wind turbines have moderate power output and reduced size. The proposed layout inserts the drag-force turbines in the free space the lift-force turbines leave, using the turbulent wind to generate power …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 1, 2024 · pp. 1–12 Read article
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Analysis and Design of Modern Parking Structure by Considering Optimised Bracing Systems Under the Dynamic Load
Abstract: The design and implementation of effective bracing systems are crucial for ensuring the structural stability and safety of G+10 parking buildings, particularly in regions prone to seismic and wind loads. This study evaluates and optimizes various bracing systems, including X-type, V-type, Inverted V-type, and Eccentric bracing, to determine their suitability for use in G+10 parking structures in the Chhatrapati Sambhajinagar City area. The research focuses on assessing each bracing system's …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 61–76 Read article
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Life Cycle Assessment of Solar Panels: Environmental Impacts from Production to Disposal
Abstract: LCA is a way to evaluate the full environmental impact of something—like a product, material, activity, or building—from start to finish. As solar energy adoption accelerates globally, understanding the full environmental implications of PV technology becomes crucial for informed decision-making and sustainable development. The study employs a cradle-to-grave approach, analyzing the environmental footprint of solar panels across multiple impact categories. These include global warming potential, energy payback time, water consumption, …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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Design and Development of Automatic Solar Tracker System for Wireless Sensor Network Node
Abstract: Energy Harvesting Technique (EHT) extracts energy from the renewable sources available in environment. Among all, the solar energy harvesting technique extracts maximum harvested power. The need for energy has grown in recent years in commercial, residential, agricultural, and industrial sectors. Non-conventional or renewable energy sources are being examined as an alternative when traditional, conventional energy sources run out. They are devoid of pollution and kind to the environment. Energy is …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 1, 2025 · pp. 10–17 Read article
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Looking into how modern technology combines sensors and Artificial Intelligence
Abstract: The combination of sensors and Artificial Intelligence (AI) is changing modern technology by making it possible to collect, analyse, and make decisions based on data in real time. Sensors are the main link between the real and digital worlds. They collect several types of data, like temperature, motion, pressure, and visual information. When used with AI methods like machine learning and deep learning, this data may be processed in a …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 Read article
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Mechanical and Functional Performance of PET–Kenaf Fiber Hybrid Composites for Domestic Household Applications
Abstract: This research presents a hybrid composite of recycled polyethylene terephthalate (PET) and Kenaf fibers for sustainable household applications. Polyethylene terephthalate from consumer bottles was reinforced with Kenaf fibers at volume fractions of 10–30% and composites were created through compression molding. Mechanical characterization involved tensile, flexural, impact, and hardness testing where appropriate and was standardized according to ASTM standards, while their interfacial interactions were characterized by imaging through SEM. Linear and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1482–1498 Read article
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Nanostructured Catalysts for Sustainable CO2 Reduction: Advancing Green Chemistry and Polymer Composites
Abstract: Artificial photosynthesis is the advancement of a process that utilizes sunlight to convert CO₂ and H₂O into high-energy fuels (methanol, hydrogen) analogous to photosynthetic pathways. Carbon-neutral energy is critical to tackling climate change, and this method provides a solution by offering an alternative to fossil fuels while also minimizing greenhouse gas emissions. Nanostructured catalysts such as plasmonic metals and hybrid nanocomposites greatly improve efficiency and scaling. Recent developments in the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 Read article
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Design, Mathematical Modeling, and Dynamic Optimization of a Speed Breaker-Based Vehicular Kinetic Energy Harvester
Abstract: Decentralized energy harvesting methods are becoming more popular due to rapid urbanization and the rising need for sustainable infrastructure. The road-embedded vehicle kinetic energy harvester (VKEH) design, mathematical modelling, and experimental validation are presented in this work. This paper presents the structural engineering, continuum mathematical modeling, and experimental validation of an optimized road-embedded vehicular kinetic energy harvester (VKEH). The mechanism utilizes a spring- loaded, low-friction rack-and-pinion transmission coupled with a …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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Analysis of the Output Power in Offshore Bladeless Vibrational Wind Turbines
Abstract: This work focuses on studying and analyzing the power generation in offshore bladeless vibrational wind turbines. In previous work, we developed detailed research about the vibrational wind turbine design and configuration; in this new work, we analyze the energy supply from this type of turbine to achieve a better understanding of the behavior and potential of bladeless vibrational wind turbines (BVWT) as an additional power source in offshore wind farms. …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 3, 2024 · pp. 12–23 Read article
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Industry 4.0 and Smart Supply Chains: Transforming Supply Chain Processes for Enhanced Efficiency and Sustainability
Abstract: The fourth industrial revolution, or Industry 4.0, is an important transformation in how industries function via the use of cutting-edge digital technology. Supply chain management is being substantially altered by integrating technologies like blockchain, big data, automated processes, artificial intelligence, and the internet of things into typical operations of the supply chain. With the help of these technologies, corporations can design intelligent supply chains that are more effective, flexible, and …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 1, 2025 · pp. 36–41 Read article
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Performance Improvement of Polymer and Silicon Solar Cells Using Transition Metal Oxide Interfaces
Abstract: Fossil fuels are running out, which is contributing to greenhouse gas emissions and climate change due to the world's growing energy demand. Renewable energy, which is environmentally friendly, is crucial for balancing the demand and supply of energy in our society.The non-traditional energy source with the fastest rate of growth is solar cells, which use photovoltaic technology to convert sunlight into electrical power.Conjugated polymers and large molecules are used in …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 66–75 Read article
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Experimental Investigation on Thermal Conductivity and Viscosity of Phase Change Material (NaNOᴣ and KNOᴣ) with Different Concentrations of ZnO Polymer Nanofluids for Solar Energy Absorption
Abstract: When evaluating the effectiveness of solar heat absorption methods or solar thermal energy storage systems (TESS), heat transfer fluid is a crucial element. Thermal conductivity and usable heat obtained for any industrial or immediate power plant efficiency are improved by the distinctive refining of Heat Transfer Fluid (HFT). The phase change material used in this study, known as solar salt is a blend of 60% NaNO3 and 40% KNO3. It …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 25–35 Read article
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Revealing the Effect of Swift Carbon Ion Beam on Radiation Sensitivity of Radio-frequency Magnetron Sputtered Grown Alumina Thin Films
Abstract: Regarding targeted treatment, hadron therapy is beneficial than conventional radiotherapy based on X rays/gamma rays due to characteristic energy loss profile of energetic charged particle during ion matter interaction. In this regard, dose monitoring and its precise measurement with spatial accuracy are very crucial. Thermoluminescence (TL) based thin film radiation dosimeter has the potential to serve this purpose. In hadron therapy, use of swift carbon ion beam is found to …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 23–29 Read article
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Exploring the State-of-the-art in Plug-in Hybrid Electric Vehicle Design and Modeling: A Review
Abstract: This document provides a thorough explanation of the process involved in designing and developing plug-in hybrid electric vehicles (PHEVs). A viable way to lessen greenhouse gas emissions and reliance on conventional internal combustion engine vehicles is through plug-in hybrid electric vehicles (PHEVs), which have gained popularity in response to growing concerns about environmental sustainability and the depletion of fossil fuels. The main elements, design factors, difficulties, and developments in the …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 1, Issue 2, 2023 · pp. 8–15 Read article
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Unveiling The Seamless Integration: The impact of IOT Technologies on everyday life and organizational Dynamics
Abstract: Internet of Things (IoT) is about connecting devices worldwide to simplify life and save energy. This study talks about these issues and looks ahead to what is next for IoT. Even though IoT mixes the digital and physical worlds, there is still a lot to learn. This study discusses the problems and suggests solution for future research. Currently, IoT is changing everything from homes to industries. This study explains IoT …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 1–9 Read article
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OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 39–50 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
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Phase – Field Modeling of Brittle and Ductile Fracture Under Complex Loading Conditions
Abstract: Phase-field modeling has emerged as a powerful computational framework for predicting fracture behavior in engineering materials, offering a unified description of crack initiation, propagation, branching, and coalescence without the need for explicit crack tracking. This study presents an in-depth examination of phase-field modeling applied to both brittle and ductile fracture under complex loading conditions, including multiaxial stress states, cyclic loading, thermal gradients, and dynamic impact. The phase-field approach regularizes the …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 13–18 Read article