R134a-DMF吸收式热泵系统动态建模仿真与特性分析

Establishment and simulation study of dynamic mathematical model for R134a-DMF absorption heat pump

摘要

新型R134a-DMF吸收式热泵系统能更好地利用低温热源且更安全环保。但现有的动态建模方法多基于稳态假设，难以准确描述其在动态扰动条件下的性能变化。文章采用MATLAB建立分布式动态模型，研究热源温度、冷冻水温以及冷却风温对R134a-DMF吸收式热泵机组的性能的影响，分析该系统在动态运行过程中关键部件的换热特性及系统整体性能的动态响应规律。结果表明:热源温度提升12.5%，增加了冷凝器与蒸发器的换热量，使得制冷性能系数上升44%；而冷却风温提升33%以及冷冻水温降低14.3%则减少了蒸发器换热量，从而使得制冷性能系数分别下降22%与10%；上述工况下发生器响应时间为4~23 min。

Abstract

The development of a new R134a-DMF working pair absorption heat pump system can better utilize low-temperature heat sources and is safer and more environmentally friendly compared to other working pair systems. However, the dynamic heat transfer mechanism of absorption heat pump systems remain insufficiently understood, and existing dynamic modeling approaches, which are largely based on steady-state assumptions, making it difficult to accurately capture system performance under transient disturbances. In this study, a distributed dynamic model was developed in MATLAB to investigate the effects of heat-source temperature, chilled-water temperature, and cooling-air temperature on the performance of R134a-DMF absorption heat pump system. The dynamic heat-transfer characteristics of key components and the transient response behavior of the overall system were systematically analyzed. The results show that a 12.5% increase in heat-source temperature significantly increases the heat transfer of the condenser and evaporator, raising the coefficient of performance (COP) by 44%; while a 33% increase in cooling air temperature and a 14.3% decrease in chilled water temperature reduce the evaporator heat-transfer capacity, leading to COP to decrease by 22% and 10% respectively; and the response time of the generator under the above operating conditions is within 4~23 min.

关键词

吸收式热泵系统 / R134a-DMF工质对 / 动态建模 / 动态响应规律

Key words

absorption heat pump system / R134a-DMF working fluid pair / dynamic modeling / dynamic response law

参考文献

[1] 年全国能源工作会议在京召开[J]. 中国产经, 2024(23): 78-81.

[2] 徐力, 齐园, 姜磊, 等 . 基于VAR模型的辽宁省建筑业发展与环境污染关系研究[J]. 山东建筑大学学报, 2024, 39(6): 87-93.

[3] 杨坤, 耿杰, 刘迪, 等 . 深度调峰下多种供热改造耦合的容量配置优化研究[J]. 热能动力工程, 2024, 39(9): 123-133.

[4] 丁绪东, 孙梅, 孙昊, 等 . 吸收式制冷系统发生器的建模方法研究[J]. 山东建筑大学学报, 2024, 39(3): 65-75.

[5] 陈金森, 刘继平, 赵永亮, 等 . 蒸汽驱动的CaCl₂吸收式热泵储热系统热力学性能研究 [J]. 工程热物理学报, 2023, 44(11): 3069-3075.

[6] 金正浩, 封立杰, 李舒宏 . 氨水溶液交叉型再吸收式热泵的能量及(火用)分析[J]. 化工学报, 2023, 74(增刊1): 53-63.

[7] 鹿丁, 刘子健, 申涛, 等 . 多能互补的吸收式热泵用于宽温区冷热兼供系统研究[J]. 制冷学报, 2025, 46(1): 24-31.

[8] 孙艳军, 郑海圻, 王世彪, 等 . COSMO—RS方法筛选离子液体作为吸收式制冷剂的吸收剂[J]. 制冷学报, 2024, 45(6): 91-98.

[9] 黄琮琪, 吴一梅, 陈建业, 等 . 碱性电解水制氢装置热管理系统仿真研究[J]. 化工学报, 2023, 74(增刊1): 320-328.

[10] Ayou D S, Coronas A . Performance simulation of solar—driven absorption heat pump—membrane distillation system for combined desalination brine concentration with feed recirculation and cooling applications[J]. Energy, 2024, 312: 133604.

[11] 周家辉, 邓庚庚, 汪茹康, 等 . 配置吸收式热泵的余压梯级利用供热系统优化设计[J]. 动力工程学报, 2023, 43(2): 165-173.

[12] 孙健, 马世财, 霍成, 等 . 基于水蒸气工质新型压缩—吸收式热泵循环性能分析[J]. 太阳能学报, 2022, 43(10): 15-20.

[13] Ethirveerasingham K, Fung A S, Kumar R . TRNSYS modelling and feasibility study of natural gas absorption heat pump (GAHP) for Canadian homes[J]. Applied Thermal Engineering, 2024, 257: 124179.

[14] Babak D B, Aprile M, Pistocchini L, et al. Transient behavior assessments of a single—effect ammonia—water absorption heat pump system: Development of an efficient experimentally validated numerical framework[J]. International Journal of Heat and Mass Transfer, 2021, 177: 121252.

[15] 张红昌, 薛小军, 徐钢, 等 . 热电联产机组热电解耦改造方案的调峰特性及能耗分析[J]. 动力工程学报, 2023, 43(10): 1382-1390.

[16] Ochoa A A V, Dutra J C C, Henríquez J R G, et al. The influence of the overall heat transfer coefficients in the dynamic behavior of a single effect absorption chiller using the pair LiBr/H₂O [J]. Energy Conversion and Management, 2017, 136: 270-282.

[17] 吴云云 . 双效吸收式喷射型热泵系统建模及其传热传质特性研究[D]. 南京: 东南大学, 2019: 44-48.

[18] 陈鑫 . 基于R134a—DMF的吸收式制冷循环系统研究[D]. 济南: 山东建筑大学, 2021: 43-47.

[19] 熊军, 廖晔, 胡宪法, 等 . 溴化锂吸收式热泵的动态建模及运行特性分析[J]. 热能动力工程, 2022, 37(2): 122-128.

[20] 王志奇 . 有机朗肯循环低温烟气余热发电系统实验研究及动态特性仿真[D]. 长沙: 中南大学, 2012: 91-99.

[21] Evola G, Pierres L N, Boudehenn F, et al. Proposal and validation of a model for the dynamic simulation of a solar—assisted single—stage LiBr/water absorption chiller[J]. International Journal of Refrigeration, 2013, 36(3): 1015-1028.

基金资助

山东省自然科学基金面上项目(ZR2022ME102)

济南市科研带头人工作室项目(202333050)

山东省科技型中小企业创新能力提升工程项目(2023TSGC0052)

山东省科技型中小企业创新能力提升工程项目(2023TSGC0074)