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On the heating potential of a single buried pipe using deterministic and intelligent techniques

机译:使用确定性和智能技术的单个埋管的加热潜力

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摘要

The present paper deals with the heating potential of a single buried pipe using real climatic data. The use of buried pipes in buildings for heating and cooling purposes has gained increasing acceptance in recent years. The system's heating potential was calculated using an accurate, dynamic, deterministic, numerical model. Multiyear ambient air and soil climatic data for the city of Athens have been used as inputs to the deterministic model and the results were compared. Furthermore, a neural network approach was used for estimating the thermal performance of the system in heating for the city of Athens. Moreover, the influence of several climatic parameters used as inputs to the neural model such as the ambient air temperature, the ground temperature and the relative humidity is investigated and analysed.
机译:本文利用真实的气候数据处理单个埋管的加热潜力。近年来,在建筑物中将地埋管用于加热和冷却目的已得到越来越多的接受。使用精确,动态,确定性的数值模型来计算系统的加热潜力。雅典市的多年环境空气和土壤气候数据已被用作确定性模型的输入,并对结果进行了比较。此外,神经网络方法用于估计雅典市供热系统的热性能。此外,还研究并分析了几种气候参数作为神经模型输入的影响,例如环境空气温度,地面温度和相对湿度。

著录项

  • 来源
    《Renewable energy》 |2003年第6期|p.917-927|共11页
  • 作者

    G. Mihalakakou;

  • 作者单位

    University of Athens, Department of Physics, Division of Applied Physics, Laboratory of Meteorology, University Campus, Building PHYS-V, Athens, Greece 15784;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 能源与动力工程;
  • 关键词

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