Performance and emission characteristics of diesel engines running on gaseous fuels in dual-fuel mode

International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 49, P. 868 - 909

Published: Sept. 29, 2023

Language: Английский

---

Metal-organic frameworks as potential catalysts for biodiesel production and biomass conversion: Mechanism and characteristics

Industrial Crops and Products, Journal Year: 2024, Volume and Issue: 211, P. 118232 - 118232

Published: Feb. 21, 2024

Language: Английский

---

Impact of the operational parameters of a dual fuel engine operating on a blend of Water Hyacinth biodiesel and Mesua ferrea biodiesel with hydrogen–A clean development mechanism

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 66, P. 689 - 702

Published: April 18, 2024

Language: Английский

---

A Simulation Study on a Premixed-charge Compression Ignition Mode-based Engine Using a Blend of Biodiesel/Diesel Fuel under a Split Injection Strategy

International Journal on Advanced Science Engineering and Information Technology, Journal Year: 2024, Volume and Issue: 14(2), P. 451 - 471

Published: April 15, 2024

Environmental pollution from transportation means and natural resource degradation are the top concern globally. According to statistics, NOx PM emissions vehicles account for 70% of total in urban areas. Therefore, finding solutions reduce is necessary. Changing engine's internal combustion method considered promising influential among known solutions. One research directions a engine using Premixed Charge Compression Ignition (PCCI) combined with biofuels improve mixture formation process, reducing emissions. this study presents mechanism traditional low-temperature process engines. Besides, theoretical basis flame spread during also introduced. The key feature that it has modeled diesel engines under PCCI modes. This was accomplished blends waste cooking oil (WCO)-based biodiesel fuel, as well ANSYS Fluent software. results showed B20 fuel can significantly emissions, although HC CO tend increase, thermal efficiency tends decrease. In further studies, different modes should be thoroughly examined so implemented practice pollutant

Language: Английский

---

SUSTAINABILITY AND RISK MANAGEMENT IN SHIPPING AND LOGISTICS: BALANCING ENVIRONMENTAL CONCERNS WITH OPERATIONAL RESILIENCE

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(3), P. 923 - 935

Published: March 28, 2024

This paper explores the delicate balance between sustainability and risk management in shipping logistics industry, addressing escalating environmental concerns while ensuring operational resilience. Investigating adoption of sustainable practices, alternative fuels, eco-friendly technologies, study examines regulatory frameworks industry initiatives shaping development. Simultaneously, it delves into risks associated with these changes, including financial, operational, dimensions. The research also scrutinizes strategies, encompassing proactive measures to mitigate impact, compliance evolving regulations, implementation resilient frameworks. Through a comprehensive synthesis academic literature, case studies, insights, contributes understanding how efforts can align robust management, offering valuable guidance for stakeholders, policymakers, academics navigating complex landscape responsibility resilience global supply chain. Keywords: Sustainability, Risk Management, Shipping Logistics, Environmental Operational, Resilience.

Language: Английский

---

Nanotechnology-based biodiesel: A comprehensive review on production, and utilization in diesel engine as a substitute of diesel fuel

International Journal of Renewable Energy Development, Journal Year: 2024, Volume and Issue: 13(3), P. 405 - 429

Published: March 15, 2024

As a sustainable replacement for fossil fuels, biodiesel is game-changer in the energy sector. There no strategy to minimize biodiesel's significance as sustainable, clean fuel source light of increasing climate change and environmental sustainability concerns. Nevertheless, conventional production methods often run into problems like inadequate conversion efficiency inappropriate properties, which impede their broad adoption. The revolutionary potential nanotechnology circumvent these limitations revolutionize consumption explored this review paper. are new possibilities improving output engine efficiency, thanks nanotechnology, can alter matter at atomic molecular levels. Using nano-catalysts, nano-emulsification processes, nano-encapsulation procedures, researchers have made significant advances qualities such stability, combustion viscosity. Through comprehensive analysis current literature research data, article elucidates crucial role advancing technology. By shedding on most advancements, challenges, future outcomes nano-based manufacturing consumption, hopes add growing corpus knowledge field inspire additional innovation. In conclusion, there great hope future, increased economic growth, reduced impacts through application nanotechnology.

Language: Английский

---

Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation

Informatics, Journal Year: 2025, Volume and Issue: 12(1), P. 25 - 25

Published: Feb. 21, 2025

Fault diagnostics in internal combustion engines (ICEs) is vital for optimal operation and avoiding costly breakdowns. This paper reviews methodologies ICE fault detection, including model-based data-driven approaches. The former uses physical models of engine components to diagnose defects, while the latter employs statistical analysis sensor data identify patterns indicating faults. Various methods identification, such as vibration analysis, thermography, acoustic optical approaches, are reviewed. also explores latest approaches detecting It highlights challenges diagnostic process ways enhance result accuracy reliability. concludes with a review progress identification prospects, highlighted by an experimental investigation using 16 machine learning algorithms seven feature selection techniques under three load conditions detect faults four-cylinder ICE. Additionally, this study incorporates advanced deep techniques, neural network (DNN), one-dimensional convolutional (1D-CNN), Transformer hybrid DNN model which demonstrate superior performance detection compared traditional methods.

Language: Английский

---

Artificial intelligence applications in solar energy

JOIV International Journal on Informatics Visualization, Journal Year: 2024, Volume and Issue: 8(2), P. 826 - 826

Published: May 31, 2024

Renewable energy research has become significant in the modern period owing to escalating prices of fossil fuels and pressing need reduce greenhouse gas emissions. Solar stands out among these sources due its abundance global accessibility. However, weather-dependent cyclical nature add inherent risks, making effective planning management difficult. Soft computing technologies provide attractive solutions for modeling such systems, while machine learning optimization techniques are gaining popularity solar industry. The current literature highlights growing use soft technologies, emphasizing their potential address difficult challenges systems. To effectively reap benefits, strategies must be seamlessly connected with emerging like Internet Things (IoT), big data analytics, cloud computing. This integration provides a unique opportunity improve scalability, flexibility, efficiency Researchers can synergies create intelligent, linked ecosystems capable real-time production, delivery, consumption. These have transform renewable environment, allowing more resilient sustainable infrastructures. Furthermore, as improve, there is demand trained experts associated cybersecurity problems, assuring integrity security sophisticated may pave road energy-efficient future by working collaboratively using interdisciplinary methodologies.

Language: Английский

---

Exploring the feasibility of dimethyl ether (DME) and LPG fuel blend for small diesel engine: A simulation perspective

International Journal of Renewable Energy Development, Journal Year: 2024, Volume and Issue: 13(3), P. 559 - 571

Published: April 20, 2024

There is a looming global crisis owing to the increase in greenhouse gases and escalating fossil fuel process. The issue further compounded by ongoing conflicts different places world. Hence, there an urgent need for bouquet of alternative fuels suitable power incumbent internal combustion engine. Among various options available Dimethyl Ether (DME) friendly environment fuel, easy liquefy, use diesel engines, while Liquefied Petroleum Gas (LPG) another potential engines. present study endeavor investigate characteristics engine powered with DME-diesel blends as pilot LPG was used main fuel. During testing, diesel-DME were containing 0%, 25%, 50%, 75% DME. AVL Boost software employed modeling performance tailpipe emission. test combination successful running sans any abnormality sound or performance. results showed carbon monoxide (CO) hydrocarbon (HC) emissions reduced using marginal oxides nitrogen (NOx) levels. In general, DME could be considered promising solution reducing pollutant emissions.

Language: Английский

---

Non-Invasive Techniques for Monitoring and Fault Detection in Internal Combustion Engines: A Systematic Review

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 6164 - 6164

Published: Dec. 6, 2024

This article provides a detailed analysis of non-invasive techniques for the prediction and diagnosis faults in internal combustion engines, focusing on application Proknow-C Methodi Ordinatio systematic review methods. Initially, relevance these promoting energy sustainability mitigating greenhouse gas emissions is discussed, aligning with Sustainable Development Goals (SDGs) Agenda 2030 Paris Agreement. The conducted subsequent sections offers comprehensive mapping state art, highlighting effectiveness combining methods categorizing systematizing relevant scientific literature. results reveal significant advancements use artificial intelligence (AI) digital signal processors (DSP) to improve fault diagnosis, addition crucial role such as twin minimizing interference monitored systems. Finally, concluding remarks point towards future research directions, emphasizing need develop integration AI algorithms twins engines identify gaps further improvements techniques.

Language: Английский

---