Clothes dryers play an important role in modern daily life which consumes a lot of residential electricity. The closed-loop heat pump clothes dryer is a typical energy-saving application in heat pump drying. To predict and analyze both electricity consumption and drying time, a quasi-steady-state model of the closed-loop heat pump dryer was developed, which consists of a dynamic fabric drying model and a steady-state heat pump system model. Simulation results reached a good agreement with test data of a household heat pump clothes dryer. The error of drying time is within 3 min and that of electricity consumption is −2.3%. Based on the model, the effects of compressor size, area ratio of the evaporator to total, circulating air flow rate, condensing temperature upper bound, and refrigerant charge on specific moisture extraction rate (SMER) and drying time were analyzed. Moreover, comprehensive optimization was performed using response surface method with the Box-Behnken design. The SMER of the redesigned clothes dryer is 2.92 kg/kWh, showing an increase of 5.8%, and the drying time is 129 min, showing a decrease of 14.6% compared with the original design.

干衣机在消耗大量住宅电力的现代日常生活中扮演着重要角色。闭环热泵干衣机是热泵烘干中典型的节能应用。为了预测和分析电力消耗和干燥时间，开发了闭环热泵干燥机的准稳态模型，该模型由动态织物干燥模型和稳态热泵系统模型组成。仿真结果与一台家用热泵干衣机的测试数据吻合较好。干燥时间误差在3min以内，耗电量误差为-2.3%。基于该模型，压缩机尺寸、蒸发器与总面积比、循环空气流量、冷凝温度上限的影响，分析了特定水分提取率 (SMER) 和干燥时间的制冷剂充注量。此外，使用响应面法和 Box-Behnken 设计进行综合优化。重新设计的干衣机的SMER为2.92 kg/kWh，增加了5.8%，干燥时间为129 min，比原设计减少了14.6%。