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

Shijun Deng,

Jian Cen, Haiying Song

и другие.

Energy and Buildings, Год журнала: 2024, Номер unknown, С. 115081 - 115081

Опубликована: Ноя. 1, 2024

Язык: 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

и другие.

Sustainability, Год журнала: 2024, Номер 16(16), С. 7222 - 7222

Опубликована: Авг. 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.

Язык: Английский

Процитировано

5

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

и другие.

Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115333 - 115333

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

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

и другие.

International Journal of Refrigeration, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

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, Год журнала: 2025, Номер 128, С. 32 - 41

Опубликована: Фев. 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.

Язык: Английский

Процитировано

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

и другие.

Computer Science Review, Год журнала: 2025, Номер 57, С. 100740 - 100740

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

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

и другие.

Biomimetics, Год журнала: 2025, Номер 10(3), С. 159 - 159

Опубликована: Март 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.

Язык: Английский

Процитировано

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

и другие.

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103765 - 103765

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

2

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

Chenxiao Zheng,

Hanqing Wang

и другие.

Applied Thermal Engineering, Год журнала: 2024, Номер unknown, С. 124693 - 124693

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

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, Год журнала: 2024, Номер unknown, С. 118476 - 118476

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1

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

Mingyu Zheng,

Xiaowen Niu

и другие.

Advances in computer science research, Год журнала: 2024, Номер unknown, С. 228 - 237

Опубликована: Янв. 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.

Язык: Английский

Процитировано

0