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Establishment and experimental verification of TRNSYS model for PCM floor coupled with solar water heating system

机译:PCM地板结合太阳能热水系统的TRNSYS模型的建立与实验验证

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摘要

Solar energy is clean and renewable energy; phase change material (PCM), used in buildings, can store the surplus heat and release when needed to save energy in winter. This paper establishes a new model of PCM floor coupled with solar water heating system (PFCSS). A module of PFCSS building was established in TRNSYS. The module was validated by a full-scale experiment. Two experiment buildings, a reference building and a PFCSS building, were set in Ninghe County of Tianjin, China. The experiment lasted for 15 days in February. Two mathematical methods, MRE (mean relative error) and Bland-Altman consistency analysis, are used to evaluate the accuracy of the model. In the comparison of the experiment data and simulation data of PFCSS building, MRE is 0.6% and the result of Bland-Altman consistency analysis is 95.1% (95% confidence interval -1.94-1.46). A model of the control building with ordinary radiant floor was set up to compare the differences in its temperature performance in relation to that of the PFCSS building. PFCSS building's temperature fluctuation is smaller and the heating process is longer than control building. If the indoor temperature is maintained at 20 degrees C, the PFCSS building can save 5.87% on the energy consumption, when compared with the control building. Based on these two existing models, the influences of PCM's thermal physical parameters on the indoor air temperature were analyzed by simulation. (C) 2017 Elsevier B.V. All rights reserved.
机译:太阳能是清洁和可再生能源;用于建筑物的相变材料(PCM)可以存储多余的热量,并在需要时释放以节省冬季的能源。本文建立了一种新型的PCM地板结合太阳能热水系统(PFCSS)的模型。在TRNSYS中建立了PFCSS构建模块。该模块已通过全面实验验证。在中国天津的宁河县设置了两个实验大楼,一个参考大楼和一个PFCSS大楼。该实验在2月进行了15天。 MRE(平均相对误差)和Bland-Altman一致性分析这两种数学方法用于评估模型的准确性。在PFCSS建筑物的实验数据和模拟数据的比较中,MRE为0.6%,Bland-Altman一致性分析的结果为95.1%(95%置信区间-1.94-1.46)。建立了具有普通辐射层的控制建筑物模型,以比较其温度性能与PFCSS建筑物的温度差异。 PFCSS建筑物的温度波动比控制建筑物小,加热过程更长。如果将室内温度保持在20摄氏度,则PFCSS建筑物与控制建筑物相比可以节省5.87%的能耗。基于这两个现有模型,通过仿真分析了PCM的热物理参数对室内空气温度的影响。 (C)2017 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Energy and Buildings》 |2017年第4期|245-260|共16页
  • 作者单位

    Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China;

    Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China;

    Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China;

    Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China;

    Tech Ctr China State Construct Engn Corp, Beijing 100037, Peoples R China;

  • 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
  • 关键词

    PCM; Floor; Solar energy; TRNSYS; Energy saving;

    机译:PCM;地板;太阳能;TRNSYS;节能;

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