Numerical Simulations of Thermodynamic Processes in the Chamber of a Liquid Piston Compressor for Hydrogen Applications DOI Creative Commons
Valērijs Bezrukovs, Vladislavs Bezrukovs, Marina Koņuhova

et al.

Technologies, Journal Year: 2024, Volume and Issue: 12(12), P. 266 - 266

Published: Dec. 18, 2024

This paper presents the results of numerical simulations examining thermodynamic processes during hydraulic hydrogen compression, using COMSOL Multiphysics® 6.0. These focus on application compression systems, particularly in refueling stations. The computational models employ CFD and heat transfer modules, along with deforming mesh technology, to simulate gas dynamics. superposition method was applied simplify analysis liquid piston interactions within a stainless-steel chamber, accounting for exchange between hydrogen, oil (working fluid), cylinder walls. study investigates effects varying stroke durations initial pressures, providing detailed insights into temperature distributions energy consumption under different conditions. reveal that upper region chamber experiences significant heating, highlighting need efficient cooling systems. Additionally, show longer strokes reduce power requirement pump, offering potential optimizing system design reducing equipment costs. offers crucial data enhancing efficiency paving way improved thermal management high-pressure applications.

Language: Английский

Green hydrogen for a sustainable future: A review of production methods, innovations, and applications DOI

C. Anand,

B. Chandraja,

P. Nithiya

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 111, P. 319 - 341

Published: Feb. 26, 2025

Language: Английский

Citations

8

Blockchain-Driven Supply Chain Analytics and Sustainable Performance: Analysis Using PLS-SEM and ANFIS DOI Open Access
Shervin Espahbod,

Arash Tashakkori,

Mahsa Mohsenibeigzadeh

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6469 - 6469

Published: July 29, 2024

This study investigated the impact of blockchain-driven supply chain analytics on dimensions lean, agile, resilient, green, and sustainable (LARGS) management, as well innovation (SCI) performance (SSCP). The research involved 262 managers vice presidents chains from large- medium-sized manufacturing companies listed in Tehran Stock Exchange. A hybrid approach utilizing structural equations modelling with partial least squares-structural equation modeling (PLS-SEM) adaptive neuro-fuzzy inference systems (ANFIS) technique was employed for data analysis. findings demonstrated a significantly positive effect SCI, LARGS chain, SSCP. Additionally, SCI exhibited Moreover, shown to have influence Both played significant mediating roles Furthermore, also acted mediator Lastly, had role chain. In conclusion, it can be inferred that contributes enhancement SSCP through facilitation promotion principles.

Language: Английский

Citations

7

Microinjection assistant synthesis of Pt-Pd hollow nanoparticles for enhanced methanol oxidation reaction DOI
Dan Zhao, Pan Zeng, Xinyu Wang

et al.

CrystEngComm, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

A large-scale synthesis of electrocatalysts with controllable composition and a surface atomic structure is crucial for practical applications.

Language: Английский

Citations

0

Fuel cell technologies in the automotive sector: A focus on proton exchange membrane and Alkaline fuel cells DOI Creative Commons
Vijay Bhooshan Kumar,

Aakash Collin,

M. Gopi Sankar

et al.

Green Technologies and Sustainability, Journal Year: 2025, Volume and Issue: 3(3), P. 100218 - 100218

Published: May 2, 2025

Language: Английский

Citations

0

The power of battery energy storage systems: unlocking home efficiency DOI

Thaw Tar Hla Tin,

George Xydis

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

Published: Jan. 24, 2025

Abstract This project explores the integration of battery energy storage systems (BESS) in residential settings to optimize management with a novel focus on standalone BESS configurations independent solar photovoltaic (PV) systems. The objective is analyze electricity price patterns, evaluate different configurations, and develop strategies for efficient charging discharging. enables homeowners store excess during low-demand periods discharge it peak demand, reducing grid reliance saving costs. analysis reveals that can reduce costs by leveraging prices averaging 0.4 DKK/kWh, compared exceeding 0.8 DKK/kWh. For June 2023, optimal (6:00–14:00, 18:00–22:00) discharging (14:00–18:00, 23:00–6:00) were identified, leading potential cost savings up 30 %. findings highlight transform suggestions such as net metering program are proposed mitigate these challenges.

Language: Английский

Citations

0

Sliding mode sensorless control model of hub motor based on digital twin technology DOI
Bin Hong,

Fugeng Li,

Changyuan Feng

et al.

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

Published: Jan. 30, 2025

Abstract This paper introduces a novel integration of sliding mode control and digital twin technology to develop sensorless model for hub motors. The proposed approach overcomes the limitations traditional methods, such as inability pre-evaluate parameter changes lack multidimensional monitoring interaction analysis. constructed enables real-time simulation that closely reflects actual motor behavior, allowing precise tuning validation parameters. Simulation results show system achieves rapid response, robust performance under varying load speed conditions, superior adaptability compared existing methods. These advancements highlight potential this in robotics autonomous vehicles.

Language: Английский

Citations

0

Innovative Paths to Energy Efficiency and CO2 Reduction in Supply Chains DOI
Surjit Singha, Ranjit Singha, J. M. Jose

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 335 - 358

Published: May 9, 2025

The undercurrents of the model provide innovative pathways to energy efficiency and collaboration strategies reduce CO2 emissions throughout sustainable supply chain. It highlights importance multi-stakeholder engagement in catalyzing transformative change global systems. By implementing new technologies, enhancing efficiencies, leveraging renewables, organizations can improve their sustainability performance. Overcoming barriers this chapter, challenges potential solutions cooperation are discussed, including supportive policy frameworks collaborative training programs. Ultimately, it sees a better future, one where capacity for innovation stakeholder enables resilient, low-carbon chain network that is made even more resilient as we work align economic outcomes with environmental needs age climate change.

Language: Английский

Citations

0

An empirical analysis of Saudi Arabian women’s intentions to adopt hydrogen fuel cell cars DOI Creative Commons

Yasmeen Ansari,

Rohit Bansal, Sanjay Kumar Kar

et al.

Transportation Research Interdisciplinary Perspectives, Journal Year: 2024, Volume and Issue: 28, P. 101269 - 101269

Published: Nov. 1, 2024

Language: Английский

Citations

1

Presenting an innovative single-setting adaptive protection method for AC microgrid with wind turbine DOI

Hassan Jahanbani,

Farzad Razavi,

Hamed Nafisi

et al.

Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 14, 2024

Language: Английский

Citations

1

A comparative analysis of machine learning techniques for building cooling load prediction DOI

Saeideh Havaeji,

Pouya Ghanizadeh Anganeh,

Mehdi Torbat Esfahani

et al.

Journal of Building Pathology and Rehabilitation, Journal Year: 2024, Volume and Issue: 9(2)

Published: July 9, 2024

Language: Английский

Citations

1