A hybrid predictive model with an error-trigger adjusting method of thermal load in super-high buildings DOI

Shijun Deng,

Jian Cen, Haiying Song

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 115081 - 115081

Published: Nov. 1, 2024

Language: Английский

Optimization Control Strategies and Evaluation Metrics of Cooling Systems in Data Centers: A Review DOI Open Access

Qiankun Chang,

Yuanfeng Huang,

K.P. Liu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 7222 - 7222

Published: Aug. 22, 2024

In the age of digitalization and big data, cooling systems in data centers are vital for maintaining equipment efficiency environmental sustainability. Although many studies have focused on classification optimization center systems, systematic reviews using bibliometric methods relatively scarce. This review uses analysis to explore classifications, control optimizations, energy metrics aiming address research gaps. Using CiteSpace databases like Scopus, Web Science, IEEE, this study maps field’s historical development current trends. The findings indicate that, firstly, strategies, focal points. Secondly, assesses applicability air-cooled liquid-cooled different operational environments, providing practical guidance selection. Then, air demonstrates that optimizing design static pressure chamber baffles has significantly improved airflow uniformity. Finally, article advocates expanding use artificial intelligence machine learning automate collection analysis, it also calls global standardization metrics. offers new perspectives design, optimization, performance evaluation systems.

Language: Английский

Citations

5
Energy-saving optimization of air-conditioning water system based on machine learning and improved bat algorithm DOI
Yan Bai, Di Sun, L. Li

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115333 - 115333

Published: Jan. 1, 2025

Language: Английский

Citations

0
Dynamic Synergy Optimization (DSO): An Integrated Approach of Metaheuristic Algorithms and PID Control for Real-Time Stability Enhancement in Refrigeration Systems DOI
Jieyu Li,

Xingxiang Xie,

Leyang Dai

et al.

International Journal of Refrigeration, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0
Research on Optimization Model of Air Conditioners and Air Purifiers Based on Fluid Mechanics DOI Creative Commons
Xinyu Chen

Highlights in Science Engineering and Technology, Journal Year: 2025, Volume and Issue: 128, P. 32 - 41

Published: Feb. 25, 2025

This study focuses on the optimization model of air conditioners and purifiers, which is conducted through in-depth exploration based fluid mechanics aerodynamics principles genetic algorithm (GA) model. A physical indoor environment including wall-mounted purifiers established. On mathematical modeling level, continuity equation, momentum energy pollutant diffusion equation are comprehensively applied to rigorously control laws airflow, temperature, transfer, transport. research provides a solid foundation for scientific layout precise parameter adjustment combined systems, effectively guides equipment operation strategies. It has crucial guiding value practical significance enhancing environmental comfort, efficiently purifying air, safeguarding human health.

Language: Английский

Citations

0
A survey of Beluga whale optimization and its variants: Statistical analysis, advances, and structural reviewing DOI
Sang-Woong Lee, Amir Haider, Amir Masoud Rahmani

et al.

Computer Science Review, Journal Year: 2025, Volume and Issue: 57, P. 100740 - 100740

Published: March 3, 2025

Language: Английский

Citations

0
A Bionic-Based Multi-Objective Optimization for a Compact HVAC System with Integrated Air Conditioning, Purification, and Humidification DOI Creative Commons
He Li,

Bozhi Yang,

Xiaofei Gu

et al.

Biomimetics, Journal Year: 2025, Volume and Issue: 10(3), P. 159 - 159

Published: March 3, 2025

This study is dedicated to the development of a multifunctional device that integrates air conditioning, humidification, and purification functions, aimed at meeting demands for energy efficiency, space-saving, comfortable indoor environments in modern residential commercial settings. The research focuses on achieving balance between performance, consumption, noise levels by combining bionic design principles with advanced optimization algorithms propose innovative methods. Specific methods include establishment mathematical models purification, humidification functions. conditioning module employs nonlinear programming model optimized through Parrot Optimizer (PO) Algorithm achieve uniform temperature distribution minimal consumption. function based using Deep ACO ensure high efficiency low levels. utilizes mist diffusion Slime Mold (SMA) enhance performance. Ultimately, multi-objective constructed Beluga Whale Optimization (BWO), successfully integrating three main functions designing compact segmented cylindrical achieves multifunctionality. results indicate exhibits superior Clean Air Delivery Rate (CADR) 400 m3/h, rate 1.2 kg/h, uniformity index 0.08, total power consumption controlled within 1600 W. demonstrates significant potential technology environment control devices, enhancing not only overall performance but also comfort sustainability environment. Future work will focus system scalability, experimental validation, further characteristics expand device’s applicability its environmental adaptability.

Language: Английский

Citations

0
Exploring the Comprehensive Integration of Artificial Intelligence in Optimizing HVAC System Operations: A Review and Future Outlook DOI Creative Commons

Shengze Lu,

Shiyu Zhou, Yan Ding

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103765 - 103765

Published: Dec. 1, 2024

Language: Английский

Citations

2
Evaporation temperature prediction of the refrigerant-direct convective-radiant cooling system based on LSTM neural network DOI
Tingting Jiang,

Chenxiao Zheng,

Hanqing Wang

et al.

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 124693 - 124693

Published: Oct. 1, 2024

Language: Английский

Citations

1
Comparative study on solar-driven combined liquid desiccant regeneration and freshwater production systems integrated with membrane distillation: Energy, exergy, and economic analysis DOI
Yu Gao, Lin Lu

Desalination, Journal Year: 2024, Volume and Issue: unknown, P. 118476 - 118476

Published: Dec. 1, 2024

Language: Английский

Citations

1
Research on the Green Development of the HVAC Industry DOI Creative Commons
Yongsheng Hu,

Mingyu Zheng,

Xiaowen Niu

et al.

Advances in computer science research, Journal Year: 2024, Volume and Issue: unknown, P. 228 - 237

Published: Jan. 1, 2024

The green development of HVAC industry (Heating, Ventilation, and Air Conditioning) refers to the adoption energy-saving, environmentally friendly, efficient technologies products, as well systematic design management methods, in order reduce negative environmental impacts while meeting people's needs for a comfortable living environment.Research on is great significance promoting energy efficiency, protecting environment, achieving sustainable development, realizing goals peaking carbon dioxide emissions & neutrality.The highly valued internationally, with scholars continuously conducting in-depth studies explorations HVAC, using such variable frequency technology, artificial intelligence, etc., providing academic theoretical support guidance its direction.Therefore, this overview will summarize current state trends research industry, focusing introduction results areas technical principles, technological innovation, market promotion, field, look forward future.

Language: Английский

Citations

0