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Lu Wang, Yiming Li, Zhouping Sun, Sida Meng, Tianlai Li and Xingan Liu
Solar greenhouses are commonly overheated during the day, and the remaining air heat can only be dissipated through ventilation, which is a severe energy waste problem. In order to improve the energy utilization of the greenhouse, this study proposes a w...
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Shaohang Yan, Mingchen Qiang, Qi Zhao, Yu Hou and Tianwei Lai
In high-speed motors, there is a huge amount of heat generation from core and winding losses, which may result in thermal failures or motor performance deterioration. In the prevention of heat accumulation, efficient cooling technology is critical for sm...
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Zijun Li, Qian Jia, Gang Li, Yu Xu, Junjian Wang and Xiaowei Zhai
A high temperature is the key factor limiting the safe development of deep mine tunnels. By confronting the phenomenon of serious heat exchange between airflow and the surrounding rocks in the tunnel excavation area, a conceptual model of coupled cooling...
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Wensi Li, Yu Zhang, Ruizhi Li, Lijun Zhang, Xingwang Zhang, Hongyin Li, Peng Nie and Shengdong Zhang
Currently, over 100 nuclear power units globally have been in operation for more than 40 years. Hindered by the limitations of computer technology at the time, these nuclear facilities lack detailed electronic drawings. Activities such as equipment repla...
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Yanyan Huang, Ruixin Tu, Wutikeer Tuerxun, Xudong Jia, Xu Zhang and Xiaokang Chen
In the context of an increasingly extreme climate, Urban Heat Island (UHI) mitigation of communities through ventilation has recently attracted more attention. To explore the impact mechanisms of different morphological renovation schemes on its wind and...
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Xiaozhou Wu, Hao Gao, Mingming Zhao, Jie Gao, Zhen Tian and Xiangli Li
A ceiling cooling system integrated with a mechanical ventilation system has been widely used in modern buildings with large sensible cooling loads due to the high thermal comfort level and large energy efficiency. However, there is a lack of systematic ...
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Aleksandra Banasiewicz, Forougholsadat Moosavi, Michalina Kotyla, Pawel Sliwinski, Pavlo Krot, Jacek Wodecki and Radoslaw Zimroz
An approach based on an artificial neural network (ANN) for the prediction of NOx emissions from underground load?haul?dumping (LHD) vehicles powered by diesel engines is proposed. A Feed-Forward Neural Network, the Multi-Layer Perceptron (MLP), is used ...
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Muhammad Talha Siddique, Paraskevas Koukaras, Dimosthenis Ioannidis and Christos Tjortjis
The Smart Readiness Indicator (SRI) is a newly developed framework that measures a building?s technological readiness to improve its energy efficiency. The integration of data obtained from this framework with data derived from Building Information Model...
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Algirdas Dobrovolskis, Egidijus Kazanavicius and Laura Ki?auskiene
The technological maturity of AI solutions has been consistently increasing over the years, expanding its application scope and domains. Smart home systems have evolved to act as proactive assistants for their residents, autonomously detecting behavioral...
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Mohannad Hamza, Omer Bafail and Hisham Alidrisi
Heating, Ventilation, and Air-Conditioning (HVAC) systems are critical components of maintaining an indoor air quality that ensures the thermal comfort of occupants in diverse building types. However, HVAC systems are also responsible for a substantial p...
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