| 摘要: |
| 基于?-NTU法建立了横流式热源塔传热传质模型，本文采用TRNSYS仿真平台实现了模型的瞬态模拟。利用不同供热工况下的实验数据对模型动态、静态特性分别进行了验证，结果表明：热源塔出口溶液温度模拟静态相对误差低于4%，动态相对误差低于6%，潜热误差低于5 kW，模型在减少计算量的同时保证了较高的精度。通过对实验和模拟结果分析得出，当热源塔风机开启台数增加时，总换热量由780 kW增加到1 060 kW，潜热量等比例的由317 kW增加到433 kW，潜热比不受风机开启台数影响。当进塔溶液温度由-2.85 ℃下降到-9.09 ℃时，潜热换热量由165 kW增加到227 kW，潜热比由42%降低至31%，潜热增加速率随溶液温度降低而变缓。随着溶液体积流量从260 m3/h降低到100 m3/h，吸热效率由0.26升高到0.44，溶液体积流量对吸热效率的影响较大，部分负荷时应优先通过减小溶液流量降低能耗。 |
| 关键词: 热源塔 传热 传质 模拟 NTU |
| DOI： |
| 投稿时间：2018-06-19 修订日期：2018-08-21
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| 基金项目:“十三五”国家重点研发计划（2016YFC0700305, 2016YFC0700306）资助项目。 |
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| Heat and Mass Transfer Model of a Cross-flow Heat-source Tower based on the Ɛ-NTU Method |
| Jia Jikang,Li Nianping,Peng Jinqing,Zhang Nan,Cheng Jianlin,Cui Haijiao |
| (College of Civil Engineering, Hunan University) |
| Abstract: |
| Based on the ?-NTU method, a heat- and mass-transfer model of a cross-flow heat-source tower was established, and the transient simulation of the model was performed using the TRNSYS simulation platform. Then, the dynamic and static characteristics of the model were validated using experimental data under different conditions. The results showed that for the outlet temperature of a heat-source tower, the static relative error was controlled within 4%, and the dynamic relative error was less than 6%. For the latent heat transfer rate, the static error was less than 5 kW. Therefore, the model can ensure high accuracy while reducing calculation complexity. As the number of working fans increased, the total heat transfer rate increased from 780 to 1060 kW, and the latent heat transfer rate increased from 317 to 433 kW. The proportion of the latent heat transfer was not affected. As the temperature of the solution that entered the tower fell from ?2.85 to ?9.09 ℃, the latent heat transfer rate of the heat source tower increased from 165 to 227 kW, and the proportion of the latent heat transfer decreased from 42% to 31%. The latent heat transfer rate gradually increased with the decrease in the solution temperature. As the flow rate of the solution decreased from 260 to 100 m3/h, the heat absorption efficiency increased from 0.26 to 0.44. The solution flow rate exerted the greatest effect on the heat absorption efficiency among all operatin g parameters. To reduce energy consumption, attention should be given to the reduction control of the solution flow under a partial-load condition. |
| Key words: heat-source tower heat transfer mass transfer simulation NTU |
