Current and further trajectories in designing functional materials for solid oxide electrochemical cells: A review of other reviews

Journal of Energy Chemistry, Journal Year: 2024, Volume and Issue: 94, P. 302 - 331

Published: March 8, 2024

Language: Английский

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Progress and prospects of mining with backfill in metal mines in China

International Journal of Minerals Metallurgy and Materials, Journal Year: 2023, Volume and Issue: 30(8), P. 1455 - 1473

Published: July 17, 2023

Language: Английский

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Comprehensive review and future prospects on chip-scale thermal management: Core of data center’s thermal management

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 251, P. 123612 - 123612

Published: June 6, 2024

Language: Английский

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A review on enhancing energy efficiency and adaptability through system integration for smart buildings

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 89, P. 109354 - 109354

Published: April 18, 2024

Language: Английский

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Optimizing energy efficiency in data center cooling towers through predictive maintenance and project management

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(2), P. 1782 - 1790

Published: Feb. 28, 2024

Optimizing energy efficiency in data center cooling towers is crucial for reducing operational costs and environmental impact. This review explores the integration of predictive maintenance project management to achieve this goal. By leveraging techniques, operators can anticipate address potential issues before they lead costly downtime or inefficiencies. Project plays a key role coordinating these efforts, ensuring that activities are carried out efficiently effectively. Predictive relies on analytics machine learning algorithms monitor condition real-time. analyzing such as temperature, pressure, flow rates, detect anomalies predict failures. proactive approach allows schedule during planned downtime, minimizing disruptions operations. practices, Agile Waterfall methodologies, essential efforts. managers oversee planning, execution, monitoring activities, completed time within budget. They also facilitate communication between stakeholders, including teams, analysts, management, ensure everyone aligned working towards same goals. integrating with significant improvements efficiency. addressing proactively, reduce consumption, extend lifespan equipment, minimize downtime. Additionally, practices efforts coordinated effective, maximizing benefits maintenance. In conclusion, optimizing requires holistic combines management. techniques efficiency, costs, enhance sustainability.

Language: Английский

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A Novel Neutrosophic-based Multi-objective Grey Wolf Optimizer for Ensuring the Security and Resilience of Sustainable Energy: A Case Study of Belgium

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 96, P. 104709 - 104709

Published: June 4, 2023

Language: Английский

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Is low-carbon energy technology a catalyst for driving green total factor productivity development? The case of China

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 428, P. 139507 - 139507

Published: Oct. 26, 2023

Language: Английский

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Optimal bidding and coordinating strategy for maximal marginal revenue due to V2G operation: Distribution system operator as a key player in China's uncertain electricity markets

Energy, Journal Year: 2023, Volume and Issue: 283, P. 128354 - 128354

Published: July 11, 2023

Language: Английский

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Wireless energy: Paving the way for smart cities and a greener future

Energy and Buildings, Journal Year: 2023, Volume and Issue: 297, P. 113469 - 113469

Published: Aug. 16, 2023

Language: Английский

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Dynamic coupling coordination and spatial–temporal analysis of digital economy and carbon environment governance from provinces in China

Ecological Indicators, Journal Year: 2023, Volume and Issue: 156, P. 111091 - 111091

Published: Oct. 23, 2023

Research on digital economy (DE) and carbon environment governance (CEG) holds paramount importance in attaining sustainable development objectives. By focusing 30 provinces within China as specific instances, this research constructed a comprehensive evaluation framework to assess the overall progress of DE CEG from 2011 2020. Moreover, it employed coupling coordination model alongside spatio-temporal evolution patterns examine state (CCD) temporal spatial features DE-CEG. First, levels China's were both showing an upward trend, with average level CCD improving year by year. The arrangement exhibited distinctive "bell-shaped" pattern, characterized narrow at ends, wide middle. three major regions was east, central west followed descending order, underscoring notable disparities Second, kernel density estimation exploratory data analysis substantiated differentiation for Notably, these analyses unveiled prevailing "high-high" "low-low" agglomeration, agglomeration effect became significant over time. Finally, among absolute differences, region least disparity, while western displayed greatest variation, differences undergoing fluctuating trajectory. Among relative most pronounced contrast observed between eastern regions, whereas central-east central-west comparable. Remarkably, accounted 40% total emerging predominant contributor divergence DE-CEG framework. Consequently, is imperative future developmental efforts focus diminishing regions. In light findings, set strategies recommendations had been formulated propel CEG.

Language: Английский

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