集中式冷热源主机单元设备级节能算法  

Energy-saving Algorithms at Equipment Level for Centralized Cold and Heat Source Host Units

作　　者：张国华 李景涛 王亮 杨悠然 Zhang Guohua;Li Jingtao;Wang Liang;Yang Youran(Shanghai LANDLEAF Architechture Technology Co.,Ltd.,Shanghai 200092,China;Nanjing Lvhui Energy Technology Co.,Ltd.,Nanjing 210046,China)

机构地区：[1]上海朗绿建筑科技股份有限公司,上海200092 [2]南京绿慧能源科技有限公司,南京210046

出　　处：《机电工程技术》2024年第6期47-51,共5页Mechanical & Electrical Engineering Technology

摘　　要：集中式冷热源能耗在暖通空调系统中占比大,设备类型繁多,系统整体节能优化难度高,缺乏设备级节能算法支撑。对集中式冷热源设备中耗能占比高的主机设备进行研究,构建了设备级节能模型算法。目前冷热源主机能效模型算法中存在参数多、复杂度高、精确建模困难等诸多问题。在对水温及负荷率等冷热源主机运行参数对能效的影响程度研究基础上,从运行水温条件、设备负荷率两个方面综合分析,提出了基于负荷侧水温、源侧水温、源侧温差、部分负荷率等参数的设备级节能算法。该算法对于水温条件方面采用带有边界约束的解耦算法;在系统负荷分配方面采用动态规划的负荷优化分配算法。经实际项目验证,系统月度用电量平均节省率可达23.34%,节能效果显著。The energy consumption of centralized cooling and heating sources accounts for a large proportion of the HVAC system,and there are many types of equipment,which makes it difficult to optimize the overall energy saving of the system,whatsmore,it lacks the support of equipment-level energy-saving algorithms.For cold and heat source hosts with high energy consumption,in response to the current situation of multiple parameters,high complexity,and difficulty in accurate modeling in its energy efficiency model algorithms,an equipment level energy saving algorithm is proposed based on parameters such as load side water temperature,source side water temperature,source side temperature difference,and partial load rate,based on the study of the impact of operating parameters of cold and heat source hosts on energy efficiency.This algorithm adopts a decoupling algorithm with boundary constraints for water temperature conditions;Adopting dynamic programming load optimization allocation algorithm in system load distribution.After actual project verification,the average monthly electricity consumption savings rate of the system can reach 23.34%,with significant energy-saving effects.

关 键 词：解耦算法 系统节能 动态规划 模块化 主机单元 

分 类 号：TU831[建筑科学—供热、供燃气、通风及空调工程]