空调系统变冷冻水温性能实验与预测模拟

doi:10.3969/j.issn.0438-1157.2014.z2.039

化工学报 ›› 2014, Vol. 65 ›› Issue (z2): 265-271.DOI: 10.3969/j.issn.0438-1157.2014.z2.039

空调系统变冷冻水温性能实验与预测模拟

江楚遥, 梁彩华, 范鹏杰, 张小松

东南大学能源与环境学院, 江苏南京 210096

收稿日期:2014-08-22 修回日期:2014-08-29 出版日期:2014-12-30 发布日期:2014-12-30
通讯作者: 梁彩华
基金资助:
国家自然科学基金项目(51106023);"十二五"国家科技支撑计划项目(2011BAJ03B10);江苏省自然科学基金重点项目(BK2010029)。

Performance experiment and prediction simulation for air conditioning system with variable chilled water temperature

JIANG Chuyao, LIANG Caihua, FAN Pengjie, ZHANG Xiaosong

School of Energy and Environment, Southeast University, Nanjing 210096, Jiangsu, China

Received:2014-08-22 Revised:2014-08-29 Online:2014-12-30 Published:2014-12-30
Supported by:
supported by the National Natural Science Foundation of China(51106023).

摘要/Abstract

摘要：

为研究变冷冻水温工况下空调系统整体性能变化规律,基于将未知结构参数集总并由少量实测数据获取模型参数的建模方法,建立了包含冷水机组与空调箱的空调系统变冷冻水温性能预测模型。构建出空调系统变冷冻水温实验装置,并进行系统模型实验验证,在此基础上对不同回风干球温度下空调系统变冷冻水温性能进行了模拟研究。结果表明,制冷量、COP等系统性能参数模拟与实验值偏差在10%以内;在回风干球温度为28℃时,冷冻水供水温度从7℃升至15℃,机组COP提升比例为21.1%,系统除湿量下降96.4%,表明回风干球温度与冷冻水温会同时影响系统运行效率与除湿能力,应综合考虑冷冻水供水温度对空调系统性能与室内舒适性的影响,根据室内设定温度及送风状态要求控制冷冻水供水温度变化范围,为空调系统变冷冻水温节能运行提供指导。

关键词: 冷水机组, 空调箱, 变水温, 参数集总, 性能预测

Abstract:

To study the variation of performance of air conditioning system in the condition of variable chilled water temperature, a performance prediction model for air conditioning system including chiller and cooling coil which based on the modeling method making unknown parameter lumped and getting model parameters from measured data is developed. An experimental device is built up to validate this performance prediction mode, and simulation on performance of air conditioning system under variable chilled water temperature condition is studied. The results show that the relative errors of performance parameters such as cooling capacity and COP (coefficient of performance) between simulation and experiment are within 10%. The increase of COP caused by chilled water temperature increasing from 7℃ to 15℃ is 21.1% when return-air dry-bulb temperature of cooling coil is 28℃, and the dehydration quantity decrease 96.4%. It can be concluded that return-air dry-bulb temperature influences the energy saving effect and dehydration quantity of air conditioning system with variable chilled water temperature, the influence of chilled water temperature on performance of air conditioning system and comfort of indoorenvironment should be considered, and the variation range should be controlled based on setting indoor temperature and supply-air state.

Key words: chiller, cooling coil, variable water temperature, lumped parameters, performance prediction

中图分类号:

TB651

江楚遥, 梁彩华, 范鹏杰, 张小松. 空调系统变冷冻水温性能实验与预测模拟[J]. 化工学报, 2014, 65(z2): 265-271.

JIANG Chuyao, LIANG Caihua, FAN Pengjie, ZHANG Xiaosong. Performance experiment and prediction simulation for air conditioning system with variable chilled water temperature[J]. CIESC Journal, 2014, 65(z2): 265-271.

参考文献 12

[1]	Fu Xiangzhao(付祥钊). Building Energy-saving Technology in Hot Summer and Cold Winter Area(夏热冬冷地区建筑节能技术) [M]. Beijing: Chinese Building Industry Press, 2002
[2]	Saidur R, Hasanuzzaman M, Mahlia T M I, et al. Chillers energy consumption, energy savings and emission analysis in an institutional buildings[J]. Energy, 2011, 36(8): 5233-5238
[3]	Zhang Xiaosong, Xu Guoying, Chan K T. A novel energy-saving method for air-cooled chiller plant by parallel connection[J]. Applied Thermal Engineering,2006, 26(16): 2012-2019
[4]	Mei Kui(梅奎), Liang Caihua(梁彩华), Zhang Xiaosong(张小松). Influence of variable-volume on performance of cooling coil[J]. Journal of Chemical Industry and Engineering(China)(化工学报),2008, 59(S2): 109-113
[5]	Yu F W, Chan K T. Economic benefits of optimal control for water-cooled chiller systems serving hotels in a subtropical climate[J]. Energy and Buildings,2010, 42(2): 203-209
[6]	Jiang Chuyao(江楚遥), Liang Caihua (梁彩华), Zhang Xiaosong (张小松). Performance prediction model for chiller with variable water flow and its experiment validation[J]. Journal of Southeast University(东南大学学报),2014, 44(2): 301-306
[7]	Gascons M, Blanco N, Vives J, et al. Numerical implementation and experimental validation of a through-the-thickness temperature model for non-isothermal vacuum bagging infusion[J]. Journal of Reinforced Plastics and Composites, 2011, 30(18): 1557-1570
[8]	Colorado-Garrido D, Santoyo-Castelazo E, Hernandez J A, et al. Heat transfer of a helical double-pipe vertical evaporator: theoretical analysis and experimental validation[J]. Applied Energy, 2009, 86(7/8): 1144-1153
[9]	Luan Z J, Zhang G M, Tian M C, et al. Flow resistance and heat transfer characteristics of a new-type plate heat exchanger[J]. Journal of Hydrodynamics, 2008, 20(4): 524-529
[10]	Tang L H, Zeng M, Wang Q W. Experimental and numerical investigation on air-side performance of fin-and-tube heat exchangers with various fin patterns[J]. Experimental Thermal and Fluid Science, 2009, 33(5): 818-827
[11]	Zhang Zhongbin(张仲彬). Study on the fouling characteristic of heat transfer surface[D].Baoding: North China Electric Power University, 2009
[12]	Jiang Chuyao(江楚遥), Liang Caihua (梁彩华), Zhang Xiaosong (张小松). Thermal performance simulation of cooling coil and its experiment validation// Annual Conference of Chinese Association of Refrigeration[C]. Wuhan, 2013

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空调系统变冷冻水温性能实验与预测模拟

Performance experiment and prediction simulation for air conditioning system with variable chilled water temperature

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