The Yangtze River Basin in China is characterised by hot- and cold-humid climates in summer and winter, respectively. Thus, increased demand for heating and cooling energy according to the season, as well as poor indoor thermal comfort, are inevitable. To overcome this problem, this study focused on the influence of passive design and heating, ventilation, and air conditioning equipment performance on the energy performance of residential buildings, and explored potential energy-saving technology paths involving passive design and improved coefficient of performance through a multi-objective and multi-parameter optimisation technique. A large-scale questionnaire survey covering a typical city was first conducted to identify family lifestyle patterns regarding time spent at home, family type, air conditioner use habits, indoor thermal comfort, etc. Then, the actual heating and cooling energy consumption and information of model building were determined for this region. Subsequently, the design parameters of an individual building were simulated using Energyplus to investigate the cooling and heating energy consumption for a typical residential building with an air conditioner. The results indicated an improvement of approximately 30% in energy efficiency through optimisation of the external-wall insulation thickness and the external-window and shading performance, and through use of appropriate ventilation technology. Thus, a multi-objective and multi-parameter optimisation model was developed to achieve comprehensive optimisation of several design parameters. Experimental results showed that comprehensive optimisation could not only reduce cooling and heating energy consumption, but also improve the thermal comfort level achieved with a non-artificial cooling and heating source. Finally, three energy-saving technology paths were formulated to achieve a balance between indoor thermal comfort improvement and the target energy efficiency (20 kWh/(m2a)). The findings of this study have implications for the future design of buildings in the Yangtze River Basin, and for modification of existing buildings for improved energy efficiency. 中国长江流域地区具有夏季高温,冬季寒冷潮湿的气候特点。因此,不可避免的造成采暖空调能耗的增加以及室内热舒适差。为了解决这个问题,本研究注重研究被动式设计、采暖通风以及空调设备性能对于居住建筑能耗的影响,从而探索一个结合被动式设计和设备性能提升的潜在的节能技术路径。首先对典型城市进行了大规模的问卷调查,以确定家庭生活方式模式,包括家庭时间、家庭类型、空调使用习惯、室内热舒适度等。然后,确定该区域的实际采暖供冷能耗和建模信息。随后,利用这些参数使用EnergyPlus模拟一个典型的分体式空调住宅建筑的采暖空调能耗。结果表明,通过优化外墙保温层厚度、外窗和遮阳性能,并采用适当的通风技术,能效提高约30%。为此,建立了多目标多参数优化模型,实现了多个设计参数的综合优化。试验结果表明,综合优化不仅可以降低制冷和加热能耗,而且可以提高非人工冷热源所达到的热舒适水平。最后,制定了三条节能技术路线,使室内热舒适性改善与目标能效(20度电)达到平衡。研究结果对长江流域未来建筑物的设计及现有建筑物的改造具有参考价值。