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1. 同济大学机械与能源工程学院,同济大学绿色建筑及新能源研究中心
2. 同济大学机械与能源工程学院,同济大学绿色建筑及新能源研究中心,联合国环境规划署 同济大学环境与可持续发展学院
3. 浙江华云电力实业集团公司
纸质出版日期:2017
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刘兆辉, 李震宇, 谭洪卫, 等. 办公楼变频空气源热泵序列优化控制[J]. 制冷学报, 2017,38(5).
Liu Zhaohui, Li Zhenyu, Tan Hongwei, et al. Optimal Sequencing Control of Variable-speed Air-source Heat Pumps in Office Building[J]. Journal of refrigeration, 2017, 38(5).
刘兆辉, 李震宇, 谭洪卫, 等. 办公楼变频空气源热泵序列优化控制[J]. 制冷学报, 2017,38(5). DOI: 10.3969/j.issn.0253-4339.2017.05.021.
Liu Zhaohui, Li Zhenyu, Tan Hongwei, et al. Optimal Sequencing Control of Variable-speed Air-source Heat Pumps in Office Building[J]. Journal of refrigeration, 2017, 38(5). DOI: 10.3969/j.issn.0253-4339.2017.05.021.
为了满足公共建筑中空调系统部分负荷下的节能运行调节需求,制冷机房经常配置多台冷水机组。空调系统中冷水机组能耗占比较高,而机组序列控制在系统满足室内负荷需求与节能中运行起关键作用。为了提高热泵机组的运行能效,本文提出一种空气源热泵机组的序列优化控制方法。首先建立变频空气源热泵机组模型,然后建立多台同型号机组序列优化控制目标函数,同时给出实时建筑负荷下求解机组最佳运行序列组合的算法与步骤。以某工程为例,利用eQUEST软件分析了办公楼全年的空调负荷变化,并在夏季、冬季典型日负荷基础上,对比分析了热泵机组序列优化控制策略与传统策略。结果表明:与传统策略相比,在10%~100%的系统部分负荷范围内,采用序列优化控制策略的机组能耗平均降低13.4%。在夏季典型日,热泵机组能耗降低14.5%;在冬季典型日,热泵机组能耗降低12.3%;在过渡季典型日,热泵机组能耗降低3.3%。在供冷季,采用机组序列优化控制策略能耗降低14.1%;在供热季能耗降低9.0%。热泵机组的序列优化控制策略具有明显的节能效果。
The heating
ventilation
and air conditioning (HVAC) system accounts for a large portion of the total energy consumption of a building. When aiming to achieve energy efficiency
the vital factor is optimal operation of the chiller plants
which constitute a large percentage of the system energy consumption. In fact
chiller plants are often configured with multiple chillers
in order to meet the requirements for energy efficient operation of the HVAC systems of public buildings under partial loads. The chiller sequence control plays a significant role in satisfying the indoor load demand and facilitating energy-saving operation. In this paper
to improve the energy efficiency of the air-source heat pumps
an optimal sequencing control strategy is presented
taking an office building as an example. To develop this strategy
a variable-speed heat-pump model and the objective function for optimization of the heat-pump sequence control were first established
so as to determine the optimal solutions under partial building loads. Here
the variation of the actual capacity under different operation conditions was taken into consideration. In addition
the annual cooling and heating loads of the selected office building were analyzed using eQUEST software. It was found that loads greater than 70% of the peak loads occupy only 24% of the cooling time and 8% of the heating time. Finally
the optimal sequencing control strategy was contrasted with the traditional strategy based on the typical daily loads in the summer
winter
and transition seasons; the results indicate that the heat-pump energy consumptions are reduced by 14.5%
12.3%
and 3.3%
respectively. In addition
the energy consumption for the entire year was analyzed. The results show that the energy consumed by the heat pump is reduced by 14.1% during the cooling season and 9.0% during the heating season following adoption of the optimal sequencing control strategy. Thus
the optimal sequencing control strategy for the heat pump has a remarkable energy saving effect.
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