The invention discloses a passive and
green building coupled indoor environment dynamic regulation and control method, and belongs to the field of green buildings and
building automation control. According to the method, environment,
energy consumption and user behavior data are collected through a distributed sensor, after normalization and other fusion
processing, a
time sequence algorithm and
building energy consumption are used for simulating and predicting a trend, a multi-target
decision matrix is constructed, regulation and control are preferentially carried out through passive assemblies such as a sun-shading
system and a
phase change material, and the
energy consumption and user behavior data are obtained. When the comfort level does not reach the comfort level threshold value,
active systems such as an air conditioner and photovoltaic-
energy storage are linked for cooperative adjustment, and closed-
loop optimization is conducted on a regulation and control strategy through algorithms such as
reinforcement learning. The problems that in the prior art, a passive
system and an active
system are separated, data utilization is extensive, and
energy distribution is low in efficiency are solved, and cooperative regulation and control of passive priority and
active compensation are achieved. According to the method, the
building energy consumption is reduced, the comfort reaching rate is increased, the
renewable energy utilization rate is increased, and the method is suitable for intelligent regulation and control of the indoor environment of various green buildings.