首页|基于TRNSYS的空气源热泵辅助太阳能集装箱房供能系统优化研究

基于TRNSYS的空气源热泵辅助太阳能集装箱房供能系统优化研究

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将北京北部山区某集装箱房作为研究对象,采用TRNSYS软件建立太阳能光热—空气源热泵供热系统仿真模型,模拟了 1月份的运行状态,对运行结果进行分析.结果表明,室内温度未能满足供暖要求,且供暖系统不能实现离网运行.对此,提出改进方案,将太阳能光热组件更换为太阳能光伏光热组件,末端供暖方式由暖风机更换为地板辐射供暖.改进后结果表明,室内温度大幅提升,保持20.0 ℃上下,满足供暖要求.室内温度波动指标由改进前的78.0%,减至12.5%.总计耗电量由改进前的1 494.0减至674.7 kW·h.系统二氧化碳减排量由改进前的108.75增至325.27 kg,减排量提高198.9%.光伏光热组件发电量为713.0 kW·h,满足房间的用电量需求,理论上实现了离网运行.研究结果可为集装箱房的供能系统设计提供理论依据.
Optimization of container house energy supply system for air source heat pump assisted with solar energy based on TRNSYS
Taking a container house in the northern mountains area of Beijing as the research object,the simulation model of the solar thermal-air source heat pump heating system was established by TRENSYS software,and the operating state in January was simulated and the operation results were analyzed.The results show that the room temperature does not meet the heating requirements,and the heating system cannot achieve off-grid operation.Then an optimization plan is proposed,replacing the solar thermal module with a solar photovoltaic solar thermal module,and the warm air blower terminal heating method is replaced by floor radiant heating.After optimization,the indoor temperature is greatly improved,maintaining around 20.0 ℃,that satisfies the heating requirements.The Room Temperature Fluctuation index was reduced from 78.0%to 12.5%.The total power consumption was reduced from 1 494.0 to 674.7 kW·h.The system's CO2 emission reduction increased from 108.75 to 325.27 kg,and the emission reduction increased by 198.9%.The photovoltaic solar thermal module has a power generation capacity of 713.0 kW·h,which meets the power consumption requirements of the room and theoretically realizes off-grid operation.The research results can provide a theoretical basis for the design of the energy supply system of container houses.

solar photovoltaic thermalair source heat pumpTRNSYScontainer house

张梦、郝学军、佟峥

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北京建筑大学环境与能源工程学院,北京 100044

太阳能光伏光热 空气源热泵 TRNSYS 集装箱房

国家重点研发计划"科技冬奥"重点专项资助项目

2021YFF0306305

2024

热科学与技术
大连理工大学

热科学与技术

CSTPCD北大核心
影响因子:0.463
ISSN:1671-8097
年,卷(期):2024.23(2)