Progress in hydrogen fuel cell vehicles and up-and-coming technologies for eco-friendly transportation: an international assessment

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 7(4), P. 3153 - 3172

Published: May 27, 2024

Abstract The urgent need for sustainable energy solutions in light of escalating global demands and environmental concerns has brought hydrogen to the forefront as a promising renewable resource. This study provides comprehensive analysis technologies essential production operation fuel cell vehicles, which are emerging viable alternative traditional combustion engine vehicles. It examines various types, storage methods, refueling logistics, role batteries paper also explores potential impact advancements artificial intelligence quantum computing on development A assessment reveals that South Korea (19,270) United States (12,283) leading adoption fuel-cell particularly passenger car segment (82%), followed by buses (9.2%) trucks (8.7%). highlights challenges hindering vehicle implementation, such consistent investment collaboration among industry stakeholders promote transportation systems. underscores practicality exemplified models like Toyota Mirai Hyundai Nexo, offer significant driving ranges demonstrate integration advanced technologies. discusses benefits including their ability operate with zero emissions when paired sources. Graphical

Language: Английский

---

Enhancing voltage profile in islanded microgrids through hierarchical control strategies

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 231, P. 110270 - 110270

Published: March 8, 2024

This paper presents a novel approach aimed at enhancing the voltage profile of an islanded microgrid (MG) through utilization Phasor Measurement Units (PMUs) and hierarchical control system for Distributed Generators (DGs). Recognizing criticality maintaining optimal essential loads within MG, we assume that PMUs are strategically placed across MG based on existing placement methodologies to ensure observability load buses. The synchrophasor measurements captured by these leveraged offline-designed tertiary layer framework, which in turn sets reference secondary DGs MG. effectively enhances vital buses proposed strategy encompasses primary, secondary, levels control, responsible stabilizing frequency, computing power references, managing flow, respectively. PMU play crucial role level continuously monitoring deviations. By ensuring effective PMUs, framework enables efficient leading notable improvements management. To evaluate effectiveness our approach, five test networks were used: 14-bus, 30-bus, 39-bus, 57-bus, 118-bus networks. Simulation results demonstrate impressive over 80 % enhancement MG's achieved method. Additionally, heuristic efficiently assigns closest bus each DG while aggregating equidistant Collectively, research underscores significant impact well-structured substantially improving MGs.

Language: Английский

---

Stochastic Economic–Resilience Management of Combined Cooling, Heat, and Power-Based Microgrids in a Multi-Objective Approach

Sustainability, Journal Year: 2024, Volume and Issue: 16(3), P. 1212 - 1212

Published: Jan. 31, 2024

The primary goal of a microgrid (MG) operator is to provide electricity consumers while minimizing costs. For this aim, the must engage in cost-effective management its resource outputs, which can encompass electrical, thermal, or combined cooling, heat and power (CCHP) systems. Conversely, there has been growing emphasis on enhancing resilience MGs response low-probability high-impact (LPHI) incidents recent years. Therefore, MG-associated energy strategies have factor considerations. While improvement activities increase operational cost, they lead reduction lost load, subsequently, decrease MG outage costs, making these economically viable. This paper focuses MGs’ with goals resilience, mitigating active losses as well environmental pollution. To attain goal, various means like renewable resources (specifically photovoltaic (PV) wind turbine (WT) systems), CCHP, storage devices are integrated. Additionally, for reaching solution, genetic algorithm (GA) implemented. operation considers concept, according obtained results, it observed that cost pollution, respectively, experience an about 6.31% 2.8%. However, due costs by average 13.91% 0.5%, overall diminished 5.93%. achieved through increased CCHP generation decreased duration during emergencies.

Language: Английский

---

Determinants of Design with Multilayer Perceptron Neural Networks: A Comparison with Logistic Regression

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2611 - 2611

Published: March 16, 2025

This research focuses on harnessing artificial neural networks (ANNs) to enhance the design of steel structures. The process encompasses various stages, including defining building’s geometry, estimating loads, selecting an appropriate structural system, sizing components, and creating detailed plans. Optimizing weight these structures is vital for reducing costs, improving efficiency, minimizing environmental impact. study specifically investigates multilayer perceptron (MLP) optimize structure design. It evaluates different ANN configurations with varying numbers hidden layers neurons find most effective arrangement. Additionally, performance MLP compared that logistic regression. results demonstrate deliver superior accuracy in optimizing designing at early stage can reduce consumption energy raw materials before production themselves begins. important from economic point view because some costs be reduced during process. When structures, it also possible take into account changing conditions, such as growing share renewable sources total balance many countries.

Language: Английский

---

Dynamic modeling of temperature rise characteristics reflecting microscopic changes in contact structures of eco-friendly gas-insulated switchgear under electrical wear

International Journal of Emerging Electric Power Systems, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Abstract As the global energy transition accelerates, eco-friendly power equipment technology is expected to play a more significant role in emerging systems. In gas-insulated switchgear (GIS), interruption of high currents induces electrical wear on internal contacts, leading surface erosion, oxidation, and formation microscopic asperities. These alterations contribute localized heat accumulation, thereby degrading thermal performance equipment. To address this, novel temperature rise model introduced for GIS insulated with dry air, integrating Baharami contact theory multi-field coupling finite element simulations. This dynamically reflects evolving morphological changes surfaces under varying degrees wear. A detailed analysis different operational conditions, adjustments parameters such as roughness asperity distribution, simulates real-time deterioration process contacts due Experimental validations indicate that simulation errors remain within 5 % across most key points, demonstrating favorable solving speed convergence. Compared results obtained using traditional model, maximum error decreased from 11.3 7.5 %, representing reduction 33.6 %. The average at each measurement point also showed decrease, 3.48 K 2.41 K, corresponding 30.7 Under severe wear, rises can exceed standard limits, an accelerated rate increase progresses, posing risks reliability. Adjustments moving stationary effectively reduce three-phase busbar, mitigating anomalies enhancing characteristic GIS. findings offer insights design maintenance GIS, promoting reliable operation advancing sustainable

Language: Английский

---

Urbanization level of the primary districts in central Russia

Lomonosov Geography Journal, Journal Year: 2025, Volume and Issue: 80(№2, 2025), P. 140 - 147

Published: Jan. 1, 2025

The article discusses the urbanization level of small territories. Level is understood as a degree process development achieved within particular territory by certain moment. 16 non-capital regions Central Russia, which includes and Black Earth economic regions, considered. units research are municipalities first – municipal districts, referred to primary districts in paper. total number these 383. A methodology for assessing proposed, based on combination three parameters, namely size (population) center district, accessibility key service centers, concentration population. reduced (conditional) radius district proposed an indicator measure centers. Concentration characterized density rural Based indicators, 7 classes with varying levels identified. distribution different their representation Russia analyzed. parameters was also In accordance governing factors four types distinguished, i. e. complex, “from center”, district” undefined.

Language: Английский

---

Investigation of Concentrated Semitransparent Photovoltaic System for Hot and Humid Climatic Conditions

International Journal of Photoenergy, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Artificial illumination and heating constitute the majority of building’s energy usage. Buildings account for 40% worldwide use. Building‐integrated concentrated photovoltaic systems represent an innovative technology. Concentrated sunlight enhances quantity solar radiation that reaches cells. This project involves design fabrication a distinctive stepped optiwave concentrating system employs semitransparent (STPV) modules. Two separate modules have been created to evaluate effectiveness STPV systems. Evaluations comparisons electrical thermal performance are available both (OPV) module. The trials conducted in Coimbatore Region Tamil Nadu, India, situated at 11.0168° north latitude 76.9558° east longitude. Output power efficiency metrics OPV STPV. highest is 11.5%, with module slightly exceeding it 10.5%. Specific reports indicate produces 10.5% greater revenue than system. culminates assessment ecological expenses amortisation period embodied energy. OPVs possess potential space applications necessitating maximal per unit area. Research on orbital propulsion vectoring satellites stations may intensify as exploration satellite deployment proliferate.

Language: Английский

---

Achieving Net-Zero Energy Buildings: Analyzing and Optimizing Strategies Using Sensitivity Analysis

Journal of Asian Energy Studies, Journal Year: 2024, Volume and Issue: 8, P. 51 - 67

Published: July 17, 2024

Enhancing building energy efficiency and incorporating renewable technologies are crucial for combating climate change promoting sustainability. This study employed a sensitivity analysis to evaluate the influence of various parameters on costs consumption. Standardized Regression Coefficients (SRC) were used measure each variable. The type glass, wall construction, window-to-wall ratios, shading elements identified as having most significant impact electricity usage. SRC values provided numerical representation strength direction relationship between these factors output variables. Furthermore, quantified savings achieved through optimization methods. data indicated an average reduction in consumption 22%, with variations 21% 23% across different floors. These results highlighted effectiveness optimizing variables applying energy-efficient design principles. findings this investigation enhance our understanding role efficiency. They can serve reference making decisions integrating into buildings designing them. strategies help reduce environmental impact, promote sustainable construction practices, achieve savings.

Language: Английский

---

Machine-Learning-Powered Information Systems: A Systematic Literature Review for Developing Multi-Objective Healthcare Management

Applied Sciences, Journal Year: 2024, Volume and Issue: 15(1), P. 296 - 296

Published: Dec. 31, 2024

The incorporation of machine learning (ML) into healthcare information systems (IS) has transformed multi-objective management by improving patient monitoring, diagnostic accuracy, and treatment optimization. Notwithstanding its revolutionizing capacity, the area lacks a systematic understanding how these models are divided analyzed, leaving gaps in normalization benchmarking. present research usually overlooks holistic for comparing ML-enabled ISs, significantly considering pivotal function criteria like precision, sensitivity, specificity. To address gaps, we conducted broad exploration 306 state-of-the-art papers to novel taxonomy IS management. We categorized studies six key areas, namely systems, treatment-planning monitoring resource allocation preventive hybrid systems. Each category was analyzed depending on significant variables, uncovering that adaptability is most effective parameter throughout all models. In addition, majority were published 2022 2023, with MDPI as leading publisher Python prevalent programming language. This extensive synthesis not only bridges but also proposes actionable insights ML-powered

Language: Английский

---