平抑电耗波动的热泵蓄热-供热系统优化

doi:10.16085/j.issn.1000-6613.2020-2058

化工进展 ›› 2021, Vol. 40 ›› Issue (10): 5424-5430.DOI: 10.16085/j.issn.1000-6613.2020-2058

平抑电耗波动的热泵蓄热-供热系统优化

刘雪玲¹^,²(), 付伟娟¹^,², 牛锦涛¹^,², 王源铭¹^,²

^1.中低温热能高效利用教育部重点实验室(天津大学)，天津 300350
^2.天津大学地热研究培训中心，天津 300350

收稿日期:2020-10-13 修回日期:2020-11-20 出版日期:2021-10-10 发布日期:2021-10-25
通讯作者: 刘雪玲
作者简介:刘雪玲（1977—），女，博士，副研究员，硕士生导师，研究方向为地热利用、建筑能耗等。E-mail：lxling@tju.edu.cn。
基金资助:
国家重点研发计划(2018YFB0905000);国家电网公司总部科技项目(SGTJDK00DWJS1800232)

Optimization of heat pump heat storage-heating system for suppressing fluctuation in power consumption

LIU Xueling¹^,²(), FU Weijuan¹^,², NIU Jintao¹^,², WANG Yuanming¹^,²

^1.Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, Tianjin University, Tianjin 300350, China
^2.Geothermal Research & Training Center, School of Mechanical Engineering of Tianjin University, Tianjin 300350, China

Received:2020-10-13 Revised:2020-11-20 Online:2021-10-10 Published:2021-10-25
Contact: LIU Xueling

摘要/Abstract

摘要：

针对办公建筑物昼夜热负荷需求存在差异，从而导致热泵供热系统一天内电力供给需求波动较大的问题，本文构建了平抑电能消耗波动的热泵蓄热-供热系统，并提出了对应的优化运行策略。以热泵蓄热-供热系统耗电功率稳定及耗电成本最低作为优化目标函数，对蓄热和供热参数进行了优化分析。基于天津地区气象参数，根据某9000m²办公楼能耗，对所构建的可平抑电耗的热泵蓄热-供热系统进行了优化分析，结果表明：采用热泵蓄热并对运行参数进行优化控制后，系统的谷电电耗增加，峰电负荷降低，实现了供热系统日耗电功率恒定，典型日高峰时段系统耗电功率最大降低50.29%，日间平均耗电功率降低28.10%，全天耗电功率稳定于53.54kW；与无蓄热常规热泵供热系统相比，整个供热期的电耗波动大幅下降，总运行费用降低。

关键词: 抑制电耗波动, 热泵蓄热-供热系统, 运行优化策略, 耗电功率, 运行成本

Abstract:

Focusing on the problem of difference in the heating load between day and night for office building, which leads to sharp fluctuation in the power consumption of heat pump heating system within a day, thermal storage and heating system using heat pump that suppresses power consumption fluctuations is built, and optimization control strategy is proposed. Taking the stability of power consumption and lower electricity cost as the objective function, the parameters of heat storage and heating are optimized. Based on the weather parameters of Tianjin and one office building with 9000m², the optimization in electricity consumption of the heat pump thermal storage and heating system is carried out. The results indicate that when thermal energy storage is added and the operation parameters is optimized, the valley power consumption is increased and the peak power load is reduced, which achieves the stable electricity consumption during one day. On typical days of heating, the power consumption during peak hours and hourly power consumption on typical day reduces 50.29% and 28.10%, respectively, and the hourly power consumption is stable at 53.54kW throughout the day. Compared with the conventional heat pump heating system without heat storage, the fluctuation of power consumption is greatly cut down and the total operating cost is reduced during the whole heating period.

Key words: suppression in power consumption fluctuation, heat pump thermal storage-heating system, operation optimization strategy, power consumption, operating cost

中图分类号:

TK52

刘雪玲, 付伟娟, 牛锦涛, 王源铭. 平抑电耗波动的热泵蓄热-供热系统优化[J]. 化工进展, 2021, 40(10): 5424-5430.

LIU Xueling, FU Weijuan, NIU Jintao, WANG Yuanming. Optimization of heat pump heat storage-heating system for suppressing fluctuation in power consumption[J]. Chemical Industry and Engineering Progress, 2021, 40(10): 5424-5430.

图/表 10

图1 平抑电耗波动的热泵蓄热-供热系统

表1 系统运行参数

类型	温度/℃
地下水温度t $e, 1'$	17.5
蓄热水温度t $c 2,1 "$	40
供水温度t $c 1,1 "$	45
回水温度t $c 1,1'$	35

表1 系统运行参数

类型	温度/℃
地下水温度t $e, 1'$	17.5
蓄热水温度t $c 2,1 "$	40
供水温度t $c 1,1 "$	45
回水温度t $c 1,1'$	35

图2 供热期典型日逐时负荷与温度变化

图3 供热期典型日热负荷曲线

图4 供热期典型日用电负荷曲线

图5 供热期典型日蓄热-供热系统与常规供热系统的逐时耗电功率

表2 天津市商用电价

8：00—11：00

18：00—23：00

1.1179

平段

7：00—8：00

11：00—18：00

图6 蓄热-供热系统与常规系统典型日各时段的运行情况

图7 供热期热泵蓄热-供热系统与常规热泵供热系统的逐日耗电功率

表3 系统运行费用对比

用电时段	电价	常规热泵系统		蓄热-供热系统		节约费用 /CNY
用电时段	电价	耗电量 /kW·h	费用 /CNY	耗电量 /kW·h	费用 /CNY	节约费用 /CNY
高峰	1.1179	33600	37561.44	27808	31086.56	6474.88
平段	0.7511	35121	26379.38	27808	20886.59	5492.79
低谷	0.4666	3149	1469.32	27796	12969.61	-11500.29
总计	—	71870	65410.14	83412	64942.77	467.38

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平抑电耗波动的热泵蓄热-供热系统优化

Optimization of heat pump heat storage-heating system for suppressing fluctuation in power consumption

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