A Comprehensive Review on Energy Management Strategies for Fuel‐Cell‐Based Electric Vehicles DOI Open Access
Sandeep Kumar, Ankur Bhattacharjee

Energy Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

The rapid growth of the transportation sector in past few decades has contributed significantly to global warming issues, leading extensive research on vehicles having nearly zero or total tailpipe carbon emissions. automobiles within this classification belong hybrid electrical (HEVs), plug‐in HEVs, battery–electric (BEVs), fuel‐cell (FC) EVs (FCEVs), and FC HEVs. FCHEVs are powered by a combination systems, rechargeable batteries, ultracapacitors, and/or mechanical flywheels. technology appears hold potential terms extended driving distances quicker refueling times for that emit no exhaust fumes. A significant number studies have examined various types energy‐storage devices as vehicle power supply, their interfacing with drive mechanism using converters energy management strategies (EMS). In article, EMS FC‐based discussed. Classifications FCEVs, BEVs, EMSs developed researchers. review report, it is indicated existing capable performing well, yet further required better reliability intelligence toward achieving greater fuel efficiency lifetime upcoming FCHEVs.

Language: Английский

IoT—A Promising Solution to Energy Management in Smart Buildings: A Systematic Review, Applications, Barriers, and Future Scope DOI Creative Commons

Mukilan Poyyamozhi,

Balasubramanian Murugesan,

R. Narayanamoorthi

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(11), P. 3446 - 3446

Published: Oct. 29, 2024

The use of Internet Things (IoT) technology is crucial for improving energy efficiency in smart buildings, which could minimize global consumption and greenhouse gas emissions. IoT applications numerous sensors to integrate diverse building systems, facilitating intelligent operations, real-time monitoring, data-informed decision-making. This critical analysis the features adoption frameworks buildings carefully investigates various that enhance management, operational efficiency, occupant comfort. Research indicates may decrease by as much 30% operating expenses 20%. paper provides a comprehensive review significant obstacles including substantial initial expenditures (averaging 15% project budgets), data security issues, complexity system integration. Recommendations are offered tackle these difficulties, emphasizing need established processes improved coordination across stakeholders. insights provided seek influence future research initiatives direct academic community construction engineering management about appropriate buildings. study resource academics practitioners aiming development implementation solutions sector.

Language: Английский

Citations

9
A Novel Methodology for Developing an Advanced Energy-Management System DOI Creative Commons
Cristian Gheorghiu,

Mircea Scripcariu,

Gabriela Nicoleta Tanasiev

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(7), P. 1605 - 1605

Published: March 27, 2024

Current targets, which have been set at both the European and international level, for reducing environmental impacts moving towards a sustainable circular economy make energy efficiency digitization key elements of all sectors human activity. The authors proposed, developed, tested complex methodology real-time statistical analysis forecasting following main contributing to economic performance an end user: indicators, power quality indices, potential implement actions improve these in economically manner, user. proposed is based on machine learning algorithms, it has six different boundaries. It was thus proven that, by implementing advanced management system (AEMS), users can achieve significant savings contribute transition sustainability.

Language: Английский

Citations

6
Análisis de metodologías empleadas en los sistemas de gestión energética y sus indicadores DOI Creative Commons
Victor Andrés Maldonado Guillén, Jesús Pérez‐Rodríguez, Ciaddy Gina Rodríguez-Borges

et al.

Revista Científica y Arbitrada del Observatorio Territorial Artes y Arquitectura FINIBUS, Journal Year: 2025, Volume and Issue: 8(15), P. 103 - 111

Published: Jan. 24, 2025

El objetivo principal de esta investigación es efectuar un análisis comparativo varios modelos energéticos, para identificar aspectos clave que deben contemplarse en sistema gestión energética, haciendo énfasis los indicadores desempeño energético. La metodología seguida consta cuatro fases: identificación las actividades previas a la definición indicadores, factores internos y externos influyen organización, finalmente, estudio detallado energéticos. Se identificaron características comunes diferentes analizados, destacando importancia internos, como procesos operativos, externos, regulaciones energéticas, indicadores. permitió proponer conjunto fases estándar prácticas óptimas definir sean robustos, adaptables alineados con necesidades estratégicas regulatorias organizaciones.

Citations

0
Comparative Evaluation of Different Fuzzy Tuning Rules on Energy Management Systems Cost Savings DOI Creative Commons
Oladimeji Ibrahim,

Mutiu Shola Bakare,

Waheed Olaide Owonikoko

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105107 - 105107

Published: April 1, 2025

Language: Английский

Citations

0
A Mini Review of the Impacts of Machine Learning on Mobility Electrifications DOI Creative Commons

Kimiya Noor ali,

Mohammad Hemmati, Seyed Mahdi Miraftabzadeh

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 6069 - 6069

Published: Dec. 2, 2024

Electromobility contributes to decreasing environmental pollution and fossil fuel dependence, as well increasing the integration of renewable energy resources. The interest in using electric vehicles (EVs), enhanced by machine learning (ML) algorithms for intelligent automation, has reduced reliance on. This shift created an interdependence between power, automatically, transportation networks, adding complexity their management scheduling. Moreover, due complex charging infrastructures, such variations power supply, efficiency, driver behaviors, demand, electricity price, advanced techniques should be applied predict a wide range variables EV performance. As adoption EVs continues accelerate, ML especially deep (DL) will play pivotal role shaping future sustainable transportation. paper provides mini review impacts on mobility electrification. applications are evaluated various aspects e-mobility, including battery management, prediction, infrastructure optimization, autonomous driving, predictive maintenance, traffic vehicle-to-grid (V2G), fleet management. main advantages challenges models years 2013–2024 have been represented all mentioned applications. Also, new trends work strengths weaknesses covered. By discussing reviewing research papers this field, it is revealed that leveraging can accelerate transition mobility, leading cleaner, safer, more systems. states dependence big data training, high uncertainty parameters affecting performance vehicles, cybersecurity e-mobility sector.

Language: Английский

Citations

1
Balancing Act: Analyzing Risks in Energy and Water Management for a Sustainable Future DOI

Anastasia Zafeiriou,

Georgios Chantzis, M. Manataki

et al.

2022 7th International Conference on Smart and Sustainable Technologies (SpliTech), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: June 25, 2024

Language: Английский

Citations

1
IoT Integration of Failsafe Smart Building Management System DOI Creative Commons
Hakilo Sabit,

Thit Tun

IoT, Journal Year: 2024, Volume and Issue: 5(4), P. 801 - 815

Published: Nov. 18, 2024

This research investigates the energy consumption of buildings managed by traditional Building Management Systems (BMSs) and proposes integration Internet Things (IoT) technology to enhance efficiency. Conventional BMSs often suffer from significant wastage safety hazards due sensor failures or malfunctions. These issues arise when building systems continue operate under unknown conditions while BMS is offline, leading increased operational risks. The study demonstrates that integrating IoT with existing can substantially improve efficiency in smart buildings. involved designing a system architecture prototype, performing MATLAB simulations, real-life case which revealed devices are effective reducing waste, particularly Heating, Ventilation, Air Conditioning (HVAC) lighting. Additionally, an auxiliary bypass was incorporated parallel reliability event failures. Preliminary findings indicate significantly boosts Simulation results reveal hourly average power savings 36.8 kw integrated failsafe model for all scenarios. offers promising solution advancing management practices policies, thereby improving both performance sustainability management.

Language: Английский

Citations

0
A Comprehensive Review on Energy Management Strategies for Fuel‐Cell‐Based Electric Vehicles DOI Open Access
Sandeep Kumar, Ankur Bhattacharjee

Energy Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

The rapid growth of the transportation sector in past few decades has contributed significantly to global warming issues, leading extensive research on vehicles having nearly zero or total tailpipe carbon emissions. automobiles within this classification belong hybrid electrical (HEVs), plug‐in HEVs, battery–electric (BEVs), fuel‐cell (FC) EVs (FCEVs), and FC HEVs. FCHEVs are powered by a combination systems, rechargeable batteries, ultracapacitors, and/or mechanical flywheels. technology appears hold potential terms extended driving distances quicker refueling times for that emit no exhaust fumes. A significant number studies have examined various types energy‐storage devices as vehicle power supply, their interfacing with drive mechanism using converters energy management strategies (EMS). In article, EMS FC‐based discussed. Classifications FCEVs, BEVs, EMSs developed researchers. review report, it is indicated existing capable performing well, yet further required better reliability intelligence toward achieving greater fuel efficiency lifetime upcoming FCHEVs.

Language: Английский

Citations

0