论文标题
使用自适应热舒适
Estimating electricity saving-potential in small offices using adaptive thermal comfort
论文作者
论文摘要
IoT传感器告知并由远程控制设备启用的智能控制可以优化建筑物的操作，以最大程度地减少不必要的能耗并改善室内热舒适度。本文量化了通过智能恒温器控制和占用量的智能插头控制中的小型办公楼节省电力的潜力。这是通过模拟自适应设定点温度，基于占用的HVAC控制的效果以及在美国所有主要气候区域的小型办公楼上的夜间自由冷却。采用这些智能控制措施可以实现小型办公楼总消耗的8.9％至20.4％的节省，或者等于每年减少12.2 kWh/m2和30.4 kWh/m2的电力使用强度。在所有气候区域中，炎热和干燥的气候从拟议的智能控制中受益最大，并获得最高的电力节省百分比
The smart control informed by IoT sensors and enabled by remotely controlled devices can optimize the building operation to minimize unnecessary energy consumption and improve indoor thermal comfort. This paper quantifies the potential for electricity savings in small office buildings from smart thermostat control and occupancy-informed smart plug control. This is done by simulating the effect of adaptive setpoint temperature, occupancy-based HVAC control, and night-purge free cooling on small office buildings across all major climate zones in the United States. Adopting these smart control measures can achieve 8.9% to 20.4% of savings in total electricity consumption of small office buildings, or equivalent to annual reductions between 12.2 kWh/m2 and 30.4 kWh/m2 in electricity usage intensity. Among all climate zones, the hot and dry climates benefit the most from proposed smart controls and achieve the highest percentages of electricity savings
