Robotics & Machine Learning Daily News2024,Issue(Jun.19) :77-77.

Recent Research from Hohai University Highlight Findings in Machine Learning (Ev aluation and Machine Learning Prediction On Thermal Performance of Energy Walls In Underground Spaces As Part of Ground Source Heat Pump Systems)

河海大学最近的研究突出了机器学习的发现(地源热泵系统地下空间能量墙热性能的评价和机器学习预测)

Robotics & Machine Learning Daily News2024,Issue(Jun.19) :77-77.

Recent Research from Hohai University Highlight Findings in Machine Learning (Ev aluation and Machine Learning Prediction On Thermal Performance of Energy Walls In Underground Spaces As Part of Ground Source Heat Pump Systems)

河海大学最近的研究突出了机器学习的发现(地源热泵系统地下空间能量墙热性能的评价和机器学习预测)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可以获得。根据NewsRx记者从中国南京发回的新闻报道,研究表明:“在地源热泵系统中,能量墙(即墙式换热器)比能量桩和钻孔式换热器表现出更复杂的热性能,”本文对能量墙的热工性能进行了现场试验,分析了埋管深度、流量、热负荷、运行方式等因素对能量墙热工性能的影响及相互作用。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting originating in Nanjing, People's Republi c of China, by NewsRx journalists, research stated, "Energy walls (i.e. wall hea t exchangers) exhibit more complex thermal performance than do energy piles and borehole heat exchangers in ground source heat pump systems, due to their indivi dual geometry. This study conducted field tests of energy wall thermal performan ce to analyze the influence and interaction of the pipe burial depth, flow rate, heating load, and operation mode."

Key words

Nanjing/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Hohai University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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