船舶空调系统仿真模型变工况研究
Research on Variable Working Conditions of Ship Air-Conditioning System Simulation Model
摘要: 本文以某大型邮轮为依托建立1:1的变风量空调系统试验台,旨在降低船舶空调能耗。首先,通过TRNSYS软件建立完整系统的仿真模型,并对其中多个重要环节进行定量分析以验证模型的准确性,最终经过对比分析,仿真模型的最大误差均保持在10%左右,具有良好的准确性。其次,利用已验证准确性的全系统仿真模型,从冷冻水供水温度对系统的影响进行分析,提出了根据实时冷负荷计算变风量空调系统管网末端设计风量的计算的方法。得出结论,当冷冻水供水温度设定值设定为9˚C时,水系统在保证制冷量的前提下,能耗更低。
Abstract: In this paper, a 1:1 variable air volume air conditioning system test bench is established based on a large cruise ship, aiming to reduce the energy consumption of ship air conditioning. Firstly, the simulation model of the complete system was established by TRNSYS software, and a number of important links were quantitatively analyzed to verify the accuracy of the model, and finally after comparative analysis, the maximum error of the simulation model was maintained at about 10%, which had good accuracy. Secondly, based on the system-wide simulation model with verified accuracy, the influence of chilled water supply temperature on the system is analyzed, and a method for calculating the design air volume at the end of the pipe network of the variable air volume air-conditioning system based on the real-time cooling load is proposed. It is concluded that when the chilled water supply temperature setting value is set at 9˚C, the energy consumption of the water system is lower under the premise of ensuring the cooling capacity.
文章引用:孙艺轩, 盛祎俊. 船舶空调系统仿真模型变工况研究[J]. 建模与仿真, 2024, 13(5): 5382-5394. https://doi.org/10.12677/mos.2024.135488

参考文献

[1] 吴重光, 沈承林, 等. 论过程系统仿真环境[J]. 系统仿真学报, 1996(2): 3-8.
[2] 吴杰长, 庞之洋, 梁述海. 基于仿真支撑系统和组态软件平台的舰船轮机仿真训练模拟器研究[J]. 系统仿真学报, 2004, 16(3): 605-607.
[3] 曹辉, 张均东. 现代船舶轮机模拟器的应用与发展[J]. 航海教育研究, 2012, 29(1): 33-36.
[4] 孟庆龙, 王文强, 郭雪丽, 等. 变流量空调水系统稳定性的定量评价[J]. 西安建筑科技大学学报(自然科学版), 2019, 51(3): 432-439, 446.
[5] Ferreira, P.M., et al. (2012) Neural Networks Based Predictive Control for Thermal Comfort and Energy Savings in Public Buildings. Energy and Buildings, 55, 238-251. [Google Scholar] [CrossRef
[6] 罗婷. 基于PMV指标的室内热舒适控制方法的应用研究[D]: [硕士学位论文]. 济南: 山东建筑大学, 2009.
[7] Meng, Q., et al. (2016) Variable Air Volume Air-Conditioning Experiment System with Advanced Controls. Indoor and Built Environment, 25, 114-127. [Google Scholar] [CrossRef
[8] 杜明明. 变风量空调系统的Simulink建模与仿真研究[D]: [硕士学位论文]. 哈尔滨: 哈尔滨工业大学, 2006.
[9] 翁文兵, 李闻龙, 陈文景, 等. 热湿负荷发生系统原理和构建[J]. 建筑节能, 2016, 44(10): 8-10, 22.
[10] 马进军, 陈杰, 闫淑晴. 空调表冷器的研究现状与发展趋势[J]. 制冷, 2019, 38(2): 85-90.