Strategic Model for Yellow Hydrogen Production Using the Metalog Family of Probability Distributions

Energies, Journal Year: 2024, Volume and Issue: 17(10), P. 2398 - 2398

Published: May 16, 2024

Storing energy in hydrogen has been recognized by scientists as one of the most effective ways storing for many reasons. The first these reasons is availability technology producing from water using electrolytic methods. Another aspect relatively cheap renewable sources. Moreover, you can count on large amounts this energy. aim article to support decision-making processes related production yellow a strategic model which exploits metalog family probability distributions. This allows us calculate, with accuracy regarding distribution, amount produced photovoltaic systems specific peak power. Using question, it possible calculate expected electricity daily system and corresponding produced. Such may be appropriate developers who build intended specifically green hydrogen. Based our model, they estimate size needed produce assumed volume. also adopted producers Due precise calculations, up providing required part mix.

Language: Английский

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Experimental Setup and Machine Learning-Based Prediction Model for Electro-Cyclone Filter Efficiency: Filtering of Ship Particulate Matter Emission

Atmosphere, Journal Year: 2025, Volume and Issue: 16(1), P. 103 - 103

Published: Jan. 18, 2025

Ship emissions significantly impact air quality, particularly in coastal and port regions, contributing to elevated concentrations of PM2.5, PM10, with varying effects observed across different locations. This study investigates the effectiveness emission control policies, inland port-specific contributions pollution, health risks posed by particulate matter (PM). A regression discontinuity model at Ningbo Port revealed that ship activities show moderate PM2.5 PM10 variations. In Busan Port, container ships accounted for majority emissions, social costs from pollutants estimated USD 31.55 million annually. Inland shipping near Yangtze River demonstrated significant PM contributions, emphasizing regional impacts. Health a major global toxic pollutant, were highlighted, links respiratory, cardiovascular, cognitive disorders. Advances purification technologies, including hybrid electrostatic filtration systems, have shown promising efficiency removing submicron particles gases, reducing energy costs. this paper, random forest machine learning developed predict post-cleaning robust performance (MAE = 0.49 P/cm3, R2 0.97). These findings underscore critical need stringent controls, innovative comprehensive monitoring mitigate environmental impacts emissions.

Language: Английский

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Validation Challenges in Data for Different Diesel Engine Performance Regimes Utilising HVO Fuel: A Study on the Application of Artificial Neural Networks for Emissions Prediction

Machines, Journal Year: 2024, Volume and Issue: 12(4), P. 279 - 279

Published: April 21, 2024

Artificial neural networks (ANNs) provide supervised learning via input pattern assessment and effective resource management, thereby improving energy efficiency predicting environmental fluctuations. The advanced technique of ANNs forecasts diesel engine emissions by collecting measurements during trial sessions. This study included experimental sessions to establish technical ecological indicators for a across several operational scenarios. VALLUM01, novel tool, has been created with user-friendly interface data input/output, intended the purposes testing prediction. There was comprehensive collection 12 parameters 10 output that were identified as relevant sufficient objectives training, validation, proper value ranges transforming into fuzzy sets input/output an ANN found. Given ANN’s training session comprises 1,000,000 epochs 1000 perceptrons within single-hidden layer, its effectiveness can be considered high. Many statistical distributions, including Pearson, Spearman, Kendall, validate prediction accuracy. accuracy from 96% on average, in some instances, it may go up 99%.

Language: Английский

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A Method for Assessing the Technical Condition of Traction Batteries Using the Metalog Family of Probability Distributions

Energies, Journal Year: 2024, Volume and Issue: 17(13), P. 3096 - 3096

Published: June 23, 2024

The aim of the research presented in article is to use Metalog family probability distributions assess technical condition traction battery packs from electric and hybrid vehicles. description object, which a pack vehicle, will be provided. Then, system for controlled charging discharging individual cells reviewed. It an essential diagnostic device used determine capacity cells. values all then analyzed using distribution family. this tool allows us Probability Density Function entire pack. Based on this, diagnostician able tested package decide its further fate. can intended repair, employed as stationary energy storage facility, or disposal. algorithm assessing batteries proposed by authors regardless type their capacity.

Language: Английский

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Emission Characteristics of Hydrogen-Enriched Gasoline Under Dynamic Driving Conditions

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1190 - 1190

Published: Feb. 28, 2025

This paper investigates the emission characteristics of hydrogen-enriched gasoline (95G5H2) under dynamic driving situations in order to fulfill growing need for cleaner and more efficient automobile fuels. study aimed investigate impact hydrogen addition on pollutant-specific emissions, including CO, CO2, HC, NOx, using a Nissan Qashqai that ran both pure (100G) 95G5H2. Emission statistics were obtained by computer simulations Worldwide Harmonized Light Vehicles Test Cycle (WLTC) applied AVL CRUISE software. The presents method comparing pollutants emitted combustion engine when powered regular fuel with hydrogen. tests performed real conditions, presented shows amount vehicle is directly motion, which allows effective comparison different 95G5H2 sharply reduces CO-, CO2-, HC-specific emissions 22.19%, 14.55%, 35.46%, respectively, compared 100G. However, NOx-specific increased 20.17%, suggesting compromise between higher efficiency burning temperatures. performs better urban cycles, plenty acceleration deceleration, usually results incomplete combustion. Although additional refinement needed cut demonstrate fuels have considerable potential lower vehicle-specific emissions. significant conclusions advantages fuels, practically environmentally, will help future development environmentally friendly transportation solutions.

Language: Английский

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Vehicle exhaust emissions in the light of modern research tools: synergy of chassis dynamometers and computational models

Silniki Spalinowe/Combustion Engines, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

Assessing vehicle emissions is crucial for understanding their environmental impact and developing effective emission reduction strategies. This article discusses modern research tools that combine traditional laboratory measurements on chassis dynamometers with advanced theoretical models. Probabilistic methods, including stochastic processes based Markov semi-Markov chains, are important modelling driving cycles, considering the variability of road conditions driver behaviour. The also presents mathematical approaches to data analysis, both states technical system transitions between them, which allows precise real operating conditions. Ultimately, synergy experimental computational offers a more complete accurate tool assessing pollutant emissions, in global efforts improve air quality.

Language: Английский

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Influence of Thermal Throttling on Spark Ignition Engine Efficiency in Idle and Low Load Modes

Lecture notes in intelligent transportation and infrastructure, Journal Year: 2025, Volume and Issue: unknown, P. 105 - 115

Published: Jan. 1, 2025

Language: Английский

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Analysis of the Relationship Between Energy Consumption in Transport, Carbon Dioxide Emissions and State Revenues: The Case of Poland

Energies, Journal Year: 2025, Volume and Issue: 18(9), P. 2291 - 2291

Published: April 30, 2025

The observed increase in demand for transport leads to higher energy consumption, which still predominantly originates from fossil fuels. As a result, the sector remains one of main sources GHG emissions. At same time, activities bring economic benefits by generating public income and contributing GDP. This article analyzes relationship between total final consumption transport, CO2 emissions government revenues, using Poland as case study. study applies Johansen’s cointegration method identify long-term relationships time series. Unlike many cross-country studies, this research addresses gap focusing specifically on Poland—a post-transition economy where holds both fiscal environmental significance. After test, Impulse Response Function was used examine dynamics system shocks. Results indicate that significantly affects revenues. A rise use also correlates with increased income. contributes understanding how transport-related impacts outcomes national context. These findings offer foundation shaping future policies promote growth stable revenue while encouraging more efficient lower

Language: Английский

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Green PLM: business goals-oriented algorithm assessing the greenness of a product in the new product development phase for the automotive industry

Annals of Operations Research, Journal Year: 2024, Volume and Issue: unknown

Published: May 13, 2024

Abstract Sustainability-oriented new product development process is becoming of key importance in many sectors the industry. Especially automotive industry, it plays a major role as this sector historically associated with resource-intensive production and fossil fuel consumption, thus has to implement solutions that will contribute restraint climate change. Manufacturing companies are currently faced challenge adapting their business models changing market expectations requirements resulting from sustainable path. Moreover, digital factories pressure legislators require adjustment existing Product Lifecycle Management systems. To enhance concept Green which still under development, work we propose three-step methodology composed three main steps: (1) assessing indicators’ for goals models, (2) indicators (3) “greenness” product. This complex approach innovative based on business-oriented perspective. Selecting suitable corresponding leads selection appropriate subset green indicators. Several more aspects taken into account holistic analysis: indicator's features, relevance company, goals, terms subsectors industry well environmental, economic, social impact. enables company compute value greenness reference

Language: Английский

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The Influence of Powering a Compression Ignition Engine with HVO Fuel on the Specific Emissions of Selected Toxic Exhaust Components

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(13), P. 5893 - 5893

Published: July 5, 2024

The aim of the research was to determine potential hydrotreated vegetable oil (HVO) in reducing nitrogen oxides and particulate matter emissions from Perkins 854E-E34TA compression ignition engine. concentrations these toxic exhaust gas components were measured using following analyzers: AVL CEB II (for NOx concentration measurement) Horiba Mexa 1230 PM measurement). measurements carried out ESC test on a engine with direct fuel injection turbocharger. had common rail supply system met Stage IIIB/Tier 4 emission standard. Two fuels used tests: diesel (DF) (HVO). As part experiment, basic indicators operation also determined (torque, effective power, consumption) selected parameters combustion process, such as instantaneous pressure working medium chamber, maximum pressures temperatures heat release rate (HRR), calculated. tests accordance because authors wanted how new generation HVO fuel, powering modern system, would perform stationary test. Based obtained results, concluded that can replace engines even without major modifications or changes settings.

Language: Английский

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