In response to the current problem of poor energy consumption control effect
and overall high energy consumption of new nanopolymer materials for
building exterior walls, the author proposes a thermal insulation energy
consumption control technology based on the heat transfer performance model
of exterior wall insulation panels. Calculate the current heat transfer
performance parameters of exterior wall insulation panels using the reaction
coefficient method, determine the proportional relationship between the
effective heat transfer coefficients, and establish a heat transfer
performance model for exterior wall insulation panels, based on the thermal
conductivity index of the new nanopolymer material for the wall, the current
control parameters are optimized. The optimal data algorithm is used to
obtain the energy consumption decision variable value of the new
nanopolymer material for the exterior wall of the building under the
condition of clarifying the current heat transfer coefficient, and
establish constraint conditions, based on the specific energy consumption
data of new nanopolymer materials outside the current wall, establish the
current thermal energy information transmission ratio relationship, analyze
the current wall energy consumption hotspots, propose the K-means clustering
analysis strategy, and apply it to the hot spot clustering control. Energy
consumption control is achieved by locating the main cluster head parameters
of the hot spot. Simulation results show that the hot spot fit of the
aforementioned control methods has been improved by 29%, and the accuracy of
the design method in cooling load control statistics is significantly higher
than the two traditional methods used for comparison. Due to different
weights, the final improvement ratio is determined to be 27%, further
verifying the hypothesis. It has been proven that it can effectively improve
the energy consumption control effect.
