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首页> 外文期刊>Energy Conversion & Management >A novel solar photovoltaic/thermal assisted gas engine driven energy storage heat pump system (SESGEHPs) and its performance analysis
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A novel solar photovoltaic/thermal assisted gas engine driven energy storage heat pump system (SESGEHPs) and its performance analysis

机译：新型太阳能光伏/热辅助燃气发动机驱动储能热泵系统（SESGEHPs）及其性能分析

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摘要

In order to study the most economical way of heating the buildings, considering the effect of the bilateral load demands on the way of heating the buildings, a novel solar photovoltaic/thermal assisted gas engine driven energy storage heat pump system (SESGEHPs) is presented which can meet the demands of the real-time building heating load and lower temperature heat source of evaporator to ensure the PV/T system works in the optimum temperature range. A test bench of SESGEHPs is set up and the experiments are carried out to test the system heating performance, including the characteristics of the PV/T system, ESGEHPs, building heating load and environmental parameters. The experimental results show that the average COP and PER of the SESGEHPs is nearly 24.5% and 20.4% higher than the ESGEHPs, respectively. The fuel-consumption and the average compressor power consumption of SESGEHPs is nearly 7.5% and 24.0% lower than the ESGEHPs, respectively. Finally, the experimental data are processed using the generalized regression neural network (GRNN) to get the relationship between the independent variable (solar radiation, outdoor dry bulb temperature and wind speed) and dependent variable (the building heating load, heating capacity of the SESGEHPs, heat-obtained quantity and power generation of the PV/T system). It is found that the operating characteristics of the SESGEHPs are greatly affected by the solar radiation and the outdoor temperature, and less affected by the wind speed.
机译：为了研究最经济的建筑物供暖方式，考虑到双向负荷需求对建筑物供暖方式的影响，提出了一种新型的太阳能光伏/热辅助燃气发动机驱动的储能热泵系统（SESGEHPs）可以满足建筑物实时供热负荷和蒸发器低温热源的要求，确保PV / T系统在最佳温度范围内工作。建立了SESGEHP的测试平台，并进行了试验以测试系统的加热性能，包括PV / T系统的特性，ESGEHP，建筑物的热负荷和环境参数。实验结果表明，SESGEHP的平均COP和PER分别比ESGEHP高24.5％和20.4％。 SESGEHP的燃料消耗量和平均压缩机能耗分别比ESGEHP降低近7.5％和24.0％。最后，使用广义回归神经网络（GRNN）处理实验数据，以获得自变量（太阳辐射，室外干球温度和风速）与因变量（建筑供热负荷，SESGEHP的供热能力）之间的关系。 ，PV / T系统的热量获取量和发电量）。结果发现，SESGEHP的运行特性受太阳辐射和室外温度的影响很大，而受风速的影响较小。

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  • 来源
    《Energy Conversion & Management》 |2019年第3期|301-314|共14页
  • 作者

    Zhang Qiang; Yang Zhao; Li Ning; Feng Rui; Shi Peifeng;

  • 作者单位

    Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ene, Minist Educ China, Sch Mech Engn, 92 Weijin Rd, Tianjin 300072, Peoples R China;

    Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ene, Minist Educ China, Sch Mech Engn, 92 Weijin Rd, Tianjin 300072, Peoples R China;

    Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ene, Minist Educ China, Sch Mech Engn, 92 Weijin Rd, Tianjin 300072, Peoples R China;

    Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ene, Minist Educ China, Sch Mech Engn, 92 Weijin Rd, Tianjin 300072, Peoples R China;

    Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ene, Minist Educ China, Sch Mech Engn, 92 Weijin Rd, Tianjin 300072, 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

    Solar photovoltaic/thermal; Gas engine driven energy storage heat pump system; The bilateral load demands; Generalized regression neural network;

    机译：太阳能光伏/热力;燃气发动机驱动的储能热泵系统;双边负荷需求;广义回归神经网络;

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