提出了一种太阳能热电新风机,为适应逐时变化的新风负荷需求,拟通过调节热电新风机的输入电压满足新风负荷要求.在此基础上分析了光伏组件、热电新风机、蓄电池三者之间的容量匹配关系,并建立了3个系统之间的容量匹配计算数学模型.以北京某新风量为90m3/h的办公室为例,模拟了7月21日至8月21日和1月1日至1月31日每天8:00至18:00热电新风机的使用工况.结果表明:所选光伏组件7月21日至8月21日发电量为94.24kW,热电新风机的总耗电量为64.35kW,连续阴雨天气时蓄电池的最大放电量为1.19kW,热电新风机的平均制冷系数达到2.50;光伏组件1月1日至1月31日发电量为50.29kW,热电新风机的总耗电量为40.54kW,连续阴雨天气时蓄电池的最大放电量为1.51kW,热电新风机的平均制热系数达到3.02.
A solar-driven thermoelectric ventilator was designed, by adjusting the input voltage of the thermoelectric ventilator to adapt the requirement of fresh air load varied with times. The capacity matching relationships among PV modules, thermoelectric ventilator and battery were analyzed, and the corresponding numerical model was also developed.The working condition of thermoelectric ventilator for an ofrice with a fresh air of 90 m3/h at 8:00 to 18.00 in Beijing from July 21st to August 21st and from January 1st to 31st was simulated.The simulation results show that during the simulation period, the total output of PV modules was 94.24 kW, and the total electricity consumption of thermoelectric ventilator was 64. 35 kW, the maximum power consumption of continuous rainy weather was 1.19 kW, and the system's average cooling COP can reach 2.50 from July 21st to August 21st.The total output of PV modules was 50.29 kW, and the total electricity consumption of thermoelectric ventilator was 40. 54 kW, the maximum power consumption of continuous rainy weather was 1.51 kW, and the system average heating COP can reach 3.02 from January 1st to 31st.