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作 者:高佳佳 郭晓瑞 杨国孔明 柳晟 鄢军军 徐新华[3] Gao Jiajia;Guo Xiaorui;Yang Guokongming;Liu Sheng;Yan Junjun;Xu Xinhua(Wuhan University of Science and Technology,Wuhan;Hubei Provincial Engineering Research Center of Urban Regeneration,Wuhan University of Science and Technology,Wuhan;Huazhong University of Science and Technology,Wuhan)
机构地区:[1]武汉科技大学,武汉 [2]武汉科技大学城市更新湖北省工程研究中心,武汉 [3]华中科技大学,武汉
出 处:《暖通空调》2025年第4期30-35,74,共7页Heating Ventilating & Air Conditioning
基 金:湖北省自然科学基金计划项目“冬夏兼顾耦合自然能双效相变顶板主动供冷供热系统热特性研究”(编号:2023AFB089)。
摘 要:小型空气源热泵集中空调系统广泛用于建筑供冷和供暖,但在实际工作中系统出水温度通常固定不变,经常导致室内温度偏离目标值且系统能耗较大。本文提出了一种室内外温度多元协同的供水温度线性优化控制策略,该策略基于室外温度对供水温度进行线性前馈计算,快速响应即将发生的负荷变化,同时基于室内温度对计算结果进行线性反馈修正,精准匹配实时变化的负荷。在实际空气源热泵集中空调系统中对提出的优化控制策略进行了实验验证。结果表明:在夏季室外温度28~37℃的条件下,优化控制策略能显著提高室内温度控制的精度和鲁棒性,室内温度平均绝对偏差为0.15℃,最大偏差仅为0.40℃;系统能耗大幅降低,相较于基本控制策略,节能率达到33.58%;多元线性优化控制策略算法计算量小,控制回路稳定,在热滞后性小、不确性干扰因素少的小型空气源热泵集中空调系统中具有较好的应用效果。Small-scale air-source heat pump(ASHP)integrated central air conditioning systems are widely used for heating and cooling in buildings.However,in practical applications,the supply water temperature of the systems is usually fixed,which often leads to a deviation of the indoor temperature from the set point and a significant system energy waste.This study proposes a linear optimal control strategy for adjusting the supply water temperature in coordination with indoor and outdoor temperatures.The outdoor air temperature serves as the primary input for feed-forward control,enabling a swift response to load changes.The indoor air temperature is used as the secondary input for feedback control to modify the supply water temperature.The optimal control strategy is verified by experiments on a real ASHP integrated central air conditioning system.The results demonstrate that the optimal control strategy significantly enhances the accuracy and robustness of the indoor air temperature control,with an average absolute indoor temperature deviation of 0.15℃and a maximum deviation of only 0.40℃under the condition of outdoor temperature of 28-37℃in summer.The energy consumption is greatly reduced,with an energy saving rate of 33.58%compared to the basic control strategy.The multi-linear optimal control strategy algorithm has low computational cost and a stable control loop.It exhibits excellent application performance in small-scale ASHP integrated central air conditioning systems,which are characterized by low thermal lag and less uncertainty interference factors.
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